Archiv des Autors: innovation

Your iPhone Already Has iPhone Fold Software, but Apple Won’t Let You Use It

Recent exploits show iPadOS windows running on an iPhone, hinting at the future of Apple hardware and software alike—while also possibly revealing its incoming foldable phone experience.

Your iPhone Already Has iPhone Fold Software but Apple Wont Let You Use It
Photo-Illustration: WIRED Staff; Getty Images; Courtesy of Apple

Hackers poking around in iOS 26 recently uncovered something Apple definitely didn’t intend anyone to see: every modern iPhone is running the operating system Apple’s upcoming “iPhone Fold” will likely use. Which means these phones are—right now—already capable of running a full, fluid desktop experience.

From a performance standpoint, that shouldn’t be surprising. At Apple’s September 2025 event, the company claimed the A19 Pro chip inside the iPhone Air and iPhone 17 Pro offers “MacBook Pro levels of compute.” And that iPhone chip is reportedly destined to power a cheaper MacBook in 2026. The line between Apple’s hardware is being further blurred, then—but what’s wild is that the software side of things has blurred completely too. It’s just that nobody realized.

For years, Apple has insisted that iOS and iPadOS are distinct, despite sharing code and habitually borrowing each other’s features. But a self-proclaimed “tech geek” on Reddit who got iPad features running on an iPhone claimed they’re not merely similar—they’re essentially the same: “Turns out iOS has all the iPadOS code (and vice versa; you can for instance enable Dynamic Island on iPad).”

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TechExpert2910 revealed on Reddit that his hacked iPhone ran iPad OS “incredibly well,” making his 17 Pro Max an “insane pocket computer” with more RAM than his M4 iPad Pro.

The hack relies on an exploit that tricks the iPhone’s operating system into thinking it’s running on an iPad. That unlocks smallish tweaks such as a landscape Home Screen, an iPad-style app switcher, and more Dock items. But it also provides transformative changes such as running desktop-grade apps that aren’t available for iPhone, full windowed multitasking, and optimal external display support. All without Apple Silicon breaking a sweat.

Deskblocked

The exploit is already patched in the iOS 26.2 beta, and the Redditor accused Apple of locking out iPhone users and artificially limiting older devices to push upgrades. But are things really that simple?

It’s not like the “phone as PC” dream is new. Android’s been chasing it since DeX debuted in 2017. Barely anyone cares. So why should Apple? Perhaps the concept is a niche nerd fantasy. And there’s the longtime argument that if you want to do “proper” work, you need a “proper” computer. If even an iPad can’t replace a computer, how can an iPhone?

In June, after 15 years, the iPad got key software features, including resizable and movable windows.

Except, as WIRED demonstrated, an iPad can replace a computer for plenty of people—you just need the right accessories. It therefore follows the same is true for an iPhone running the exact same software. But where will any momentum for this future come from?

Android 16 is technically ready for another crack at desktop mode, with a new system that builds on DeX. But even now, having finally escaped beta, it’s buried in developer settings. That might be down to the grim state of big-screen Android apps, or the desktop experience itself feeling, politely, “rocky.”

Paradoxically, Apple appears to be further ahead despite never announcing any of this. It already has a deep ecosystem of desktop-grade iPad apps. And the iPad features running on iPhone already look polished. Sure, some interface quirks remain, and you might need to file your fingers to a point to hit window controls. But the performance is fast, fluid, and snappy. So if the experience is this good, why is Apple so determined to hide it?

Profit by Design

One argument is practical. Apple likes each device to be its own thing, optimized for a specific form factor. It’s keen to finesse the transition between platforms rather than have one device to rule them all. A phone lacks a big screen and a physical keyboard. Plugging those things in on a train isn’t as elegant as opening a MacBook or using an iPad connected to a Magic Keyboard. However, with imagination, you can see the outlines of a new ecosystem of profitable accessories for a more capable iPhone.

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Could the bottom of your iPhone screen look more like this in the future? Apple’s current phone software certainly makes it possible.

But Apple hasn’t got where it has by selling accessories nor by making a market for others to do so. Most of its profits come from a long-running strategy to nudge people into buying more hardware that coexists. It doesn’t want you to choose between an iPhone, an iPad, a MacBook Air, and an iMac. It wants you to buy all of them.

But if an iPhone can do iPad things, maybe someone won’t buy an iPad. If iPads act too much like Macs, people might not buy as many Macs. Strategically chosen—if sometimes artificial—limits and product segmentation have pride of place in Cupertino’s rulebook. A convergence model could knock user experience and simplicity; but Apple would likely be more fearful of how it could negatively impact sales.

Hidden Potential

That all said, perhaps there is another explanation: Apple is saving this for an inflection point—the iPhone Fold. Rumors suggest that Apple has solved the “screen crease” problem and will in 2026 ship a foldable with a 7.8-inch, 4:3 display that’s similar to (but sharper than) the iPad mini’s.

A tablet-sized display that doesn’t let you multitask like on an iPad would be absurd, especially on a device likely to cost two or three times more than an actual iPad mini. Doubly so if Apple puts last year’s iPhone chip into a MacBook that will have a full desktop environment and support at least one external display.

And for anyone fretting about being forced into a more desktop-style iPhone, Apple already solved that problem. It killed the Steve Jobs vision of the iPad that sat between two computing extremes by letting users switch modes. The iPhone could follow suit, defaulting to its original purist mode while allowing power users to tap into windowing and external device support.

These hacks, then, have given us a window into the iPhone Fold operating system and other aspects of a possible Apple future. They show that iPad features on iPhone already look slick and make complete sense. And the crazy thing is they’re in your iPhone’s software right now. Next year, they’ll almost certainly be unleashed on the most expensive iPhone Apple has ever made. The question is whether Apple will let regular iPhone users have them, too.

Source: https://www.wired.com/story/your-iphone-already-has-iphone-fold-software-but-apple-wont-let-you-use-it/

OpenAI Goes From Stock Market Savior to Burden as AI Risks Mount

 

Takeaways by Bloomberg AI

  • Wall Street’s sentiment toward companies associated with artificial intelligence is shifting, with OpenAI down and Alphabet Inc. up.
  • The maker of ChatGPT is facing questions about its lack of profitability and the need to grow rapidly to pay for its massive spending commitments.
  • Alphabet’s perceived strength goes beyond its Gemini AI model, with the company having a ton of cash at its disposal and a host of adjacent businesses, making it a deep-pocketed competitor in the AI trade.
 

Wall Street’s sentiment toward companies associated with artificial intelligence is shifting, and it’s all about two companies: OpenAI is down, and Alphabet Inc. is up.

The maker of ChatGPT is no longer seen as being on the cutting edge of AI technology and is facing questions about its lack of profitability and the need to grow rapidly to pay for its massive spending commitments. Meanwhile, Google’s parent is emerging

as a deep-pocketed competitor with tentacles in every part of the AI trade.

“OpenAI was the golden child earlier this year, and Alphabet was looked at in a very different light,” said Brett Ewing, chief market strategist at First Franklin Financial Services. “Now sentiment is much more tempered toward OpenAI.”

 

As a result, the shares of companies in OpenAI’s orbit — principally Oracle Corp., CoreWeave Inc., and Advanced Micro Devices Inc., but also Microsoft Corp., Nvidia Corp. and SoftBank, which has an 11% stake in the company — are coming under heavy selling pressure. Meanwhile, Alphabet’s momentum is boosting not only its stock price, but also those it’s associated with like Broadcom Inc., Lumentum Holdings Inc., Celestica Inc., and TTM Technologies Inc.

Read More: Alphabet’s AI Strength Fuels Biggest Quarterly Jump Since 2005

The shift has been dramatic in magnitude and speed. Just a few weeks ago, OpenAI was sparking huge rallies in any company related to it. Now, those connections look more like an anchor. It’s a change that carries wide-ranging implications, given how central the closely held company has been to the AI mania that has driven the stock market’s three-year rally.

“A light has been shined on the complexity of the financing, the circular deals, the debt issues,” Ewing said. “I’m sure this exists around the Alphabet ecosystem to a certain degree, but it was exposed as pretty extreme for OpenAI’s deals, and appreciating that was a game-changer for sentiment.”

A basket of companies connected to OpenAI has gained 74% in 2025, which is impressive but far shy of the 146% jump by Alphabet-exposed stocks. The technology-heavy Nasdaq 100 Index is up 22%.

OpenAI vs Alphabet

Stocks in orbits of OpenAI and Alphabet have diverged

Source: Bloomberg, Morgan Stanley

Data is normalized with percentage appreciation as of January 2, 2025.

The skepticism surrounding OpenAI can be dated to August, when it unveiled GPT-5 to mixed reactions. It ramped up last month when Alphabet released the latest version of its Gemini AI model and got rave reviews. As a result, OpenAI Chief Executive Officer Sam Altman declared a “code red” effort to improve the quality of ChatGPT, delaying other projects until it gets its signature product in line.

‘All the Pieces’

Alphabet’s perceived strength goes beyond Gemini. The company has the third highest market capitalization in the S&P 500 and a ton of cash at its disposal. It also has a host of adjacent businesses, like Google Cloud and a semiconductor manufacturing operation that’s gaining traction. And that’s before you consider the company’s AI data, talent and distribution, or its successful subsidiaries like YouTube and Waymo.

 

“There’s a growing sense that Alphabet has all the pieces to emerge as the dominant AI model builder,” said Brian Colello, technology equity senior strategist at Morningstar. “Just a couple months ago, investors would’ve given that title to OpenAI. Now there’s more uncertainty, more competition, more risk that OpenAI isn’t the slam-dunk winner.”

Read More: Alphabet’s AI Chips Are a Potential $900 Billion ‘Secret Sauce’

Representatives for OpenAI and Alphabet didn’t respond to requests for comment.

The difference between being first or second place goes beyond bragging rights, it also has significant financial ramifications for the companies and their partners. For example, if users gravitating to Gemini slows ChatGPT’s growth, it will be harder for OpenAI to pay for cloud-computing capacity from Oracle or chips from AMD.

By contrast, Alphabet’s partners in building out its AI effort are thriving. Shares of Lumentum, which makes optical components for Alphabet’s data centers, have more than tripled this year, putting them among the 30 best performers in the Russell 3000 Index. Celestica provides the hardware for Alphabet’s AI buildout, and its stock is up 252% in 2025. Meanwhile Broadcom — which is building the tensor processing unit, or TPU, chips Alphabet uses — has seen its stock price leap 68% since the end of last year.

OpenAI has announced a number of ambitious deals in recent months. The flurry of activity “rightfully brought scrutiny and concern over whether OpenAI can fund all this, whether it is biting off more than it can chew,” Colello said. “The timing of its revenue growth is uncertain, and every improvement a competitor makes adds to the risk that it can’t reach its aspirations.”

In fairness, investors greeted many of these deals with excitement, because they appeared to mint the next generation of AI winners. But with the shift in sentiment, they’re suddenly taking a wait-and-see attitude.

“When people thought it could generate revenue and become profitable, those big deal numbers seemed possible,” said Brian Kersmanc, portfolio manager at GQG Partners, which has about $160 billion in assets. “Now we’re at a point where people have stopped believing and started questioning.”

Kersmanc sees the AI euphoria as the “dot-com era on steroids,” and said his firm has gone from being heavily overweight tech to highly skeptical.

Self-Inflicted Wounds

“We’re trying to avoid areas of over-hype and a lot of those were fueled by OpenAI,” he said. “Since a lot of places have been touched by this, it will be a painful unwind. It isn’t just a few tech names that need to come down, though they’re a huge part of the index. All these bets have parallel trades, like utilities, with high correlations. That’s the fear we have, not just that OpenAI spun up this narrative, but that so many things were lifted on the hype.”

OpenAI’s public-relations flaps haven’t helped. The startup’s Chief Financial Officer Sarah Friar recently suggested the US government “backstop the guarantee that allows the financing to happen,” which raised some eyebrows. But she and Altman later clarified that the company hasn’t requested such guarantees.

Then there was Altman’s appearance on the “Bg2 Pod,” where he was asked how the company can make spending commitments that far exceed its revenue. “If you want to sell your shares, I’ll find you a buyer — I just, enough,” was the CEO’s response.

Altman’s dismissal was problematic because the gap between OpenAI’s revenue and its spending plans between now and 2033 is about $207 billion, according to HSBC estimates.

“Closing the gap would need one or a combination of factors, including higher revenue than in our central case forecasts, better cost management, incremental capital injections, or debt issuance,” analyst Nicolas Cote-Colisson wrote in a research note on Nov. 24. Considering that OpenAI is expected to generate revenue of more than $12 billion in 2025, its compute cost “compounds investor nervousness about associated returns,” not only for the company itself, but also “for the interlaced AI chain,” he wrote.

To be sure, companies like Oracle and AMD aren’t solely reliant on OpenAI. They operate in areas that continue to see a lot of demand, and their products could find customers even without OpenAI. Furthermore, the weakness in the stocks could represent a buying opportunity, as companies tied to ChatGPT and the chips that power it are trading at a discount to those exposed to Gemini and its chips for the first time since 2016, according to a recent Wells Fargo analysis.

“I see a lot of untapped demand and penetration across industries, and that will ultimately underpin growth,” said Kieran Osborne, chief investment officer at Mission Wealth, which has about $13 billion in assets under management. “Monetization is the end goal for these companies, and so long as they work toward that, that will underpin the investment case.”

Source: https://www.bloomberg.com/news/articles/2025-12-07/openai-goes-from-stock-market-savior-to-anchor-as-ai-risks-mount

Researchers create 3D catalog of 2.75 billion buildings

All the world’s buildings available as 3D models for the first time

With the GlobalBuildingAtlas, a research team at the Technical University of Munich (TUM) has created the first high-resolution 3D map of all buildings worldwide. The open data provides a crucial basis for climate research and the implementation of the UN Sustainable Development Goals. They enable more precise models for urbanization, infrastructure and disaster management – and help to make cities around the world more inclusive and resilient.

The data enables more accurate models for urbanization, infrastructure, and disaster management Earth System Science Data
The data enables more accurate models for urbanization, infrastructure, and disaster management

How many buildings are there on Earth – and what do they look like in 3D? The research team led by Prof. Xiaoxiang Zhu, holder of the Chair of Data Science in Earth Observation at TUM, has answered these fundamental questions in this project funded by an ERC Starting Grant. The GlobalBuildingAtlas comprises 2.75 billion building models, covering all structures captured in satellite imagery from the year 2019. This makes it the most comprehensive collection of its kind. For comparison: the largest previous global dataset contained about 1.7 billion buildings. The 3D models with a resolution of 3×3 meters are 30 times finer than data from comparable databases.

In addition, 97 percent (2.68 billion) of the buildings are provided as LoD1 3D models (Level of Detail 1). These are simplified three-dimensional representations that capture the basic shape and height of each building. While less detailed than higher LoD levels, they can be integrated at scale into computational models, forming a precise basis for analyses of urban structures, volume calculations, and infrastructure planning. Unlike previous datasets, GlobalBuildingAtlas includes buildings from regions often missing in global maps – such as Africa, South America, and rural areas.

New perspectives for sustainability and climate research

„3D building information provides a much more accurate picture of urbanization and poverty than traditional 2D maps,“ explains Prof. Zhu. „With 3D models, we see not only the footprint but also the volume of each building, enabling far more precise insights into living conditions. We introduce a new global indicator: building volume per capita, the total building mass relative to population – a measure of housing and infrastructure that reveals social and economic disparities. This indicator supports sustainable urban development and helps cities become more inclusive and resilient.“

Open data for global challenges

The 3D building data from the GlobalBuildingAtlas provides a precise basis for planning and monitoring urban development, enabling cities to take targeted measures to create inclusive and equitable living conditions – for example, by planning additional housing or public facilities such as schools and health centers in densely populated, disadvantaged neighborhoods. At the same time, the data is crucial for climate adaptation: it improves models on topics such as energy demand and CO₂ emissions and supports the planning of green infrastructure. Disaster prevention also benefits, as risks from natural events such as floods or earthquakes can be assessed more quickly.

The data is already attracting a great deal of interest: The German Aerospace Center (DLR), for example, is examining the use of the GlobalBuildingAtlas as part of the „International Charter: Space and Major Disasters“.

Prof. Xiaoxiang Zhu uses satellite data to analyze developments on Earth Juli Eberle / TUM / ediundsepp Gestaltungsgesellschaft
Prof. Xiaoxiang Zhu uses satellite data to analyze developments on Earth
Publications

Zhu,X. X., Chen, S., Zhang, F., Shi, Y, Wang, Y. „GlobalBuildingAtlas: an open global and complete dataset of building polygons, heights and LoD1 3D models“. Earth System Science Data (ESSD). DOI: 10.5194/essd-17-6647-2025 

Further information and links
  • All data and code are freely available via GitHub and mediaTUM, TUM’s media and publication server.
  • Like the databases and satellite data already available to the public, the project complies with all security standards for satellite data. In accordance with the German Satellite Data Security Regulation, the data is not considered sensitive due to its resolution of over 2.5 meters. 
  • Prof. Zhu is Director of the Munich Data Science Institute

Technical University of Munich

Corporate Communications Center

 

„I was forced to use AI until the day I was laid off.“ Copywriters reveal how AI has decimated their industry

Copywriters were one of the first to have their jobs targeted by AI firms. These are their stories, three years into the AI era.

Back in May 2025, not long after I put out the first call for AI Killed My Job stories, I received a thoughtful submission from Jacques Reulet II. Jacques shared a story about his job as the head of support operations for a software firm, where, among other things, he wrote copy documenting how to use the company’s product.

“AI didn’t quite kill my current job, but it does mean that most of my job is now training AI to do a job I would have previously trained humans to do,” he told me. “It certainly killed the job I used to have, which I used to climb into my current role.” He was concerned for himself, as well as for his more junior peers. As he told me, “I have no idea how entry-level developers, support agents, or copywriters are supposed to become senior devs, support managers, or marketers when the experience required to ascend is no longer available.”

When we checked back in with Jacques six months later, his company had laid him off. “I was actually let go the week before Thanksgiving now that the AI was good enough,” he wrote.

He elaborated:

Chatbots came in and made it so my job was managing the bots instead of a team of reps. Once the bots were sufficiently trained up to offer “good enough” support, then I was out. I prided myself on being the best. The company was actually awarded a “Best Support” award by G2 (a software review site). We had a reputation for excellence that I’m sure will now blend in with the rest of the pack of chatbots that may or may not have a human reviewing them and making tweaks.

It’s been a similarly rough year for so many other workers, as chronicled by this project and elsewhere—from artists and illustrators seeing client work plummet, to translators losing jobs en masse, to tech workers seeing their roles upended by managers eager to inject AI into every possible process.

And so we end 2025 in AI Killed My Jobs with a look at copywriting, which was among the first jobs singled out by tech firms, the media, and copywriters themselves as particularly vulnerable to job replacement. One of the early replaced-by-AI reports was the sadly memorable story of the copywriter whose senior coworkers started referring to her as “ChatGPT” in work chats before she was laid off without explanation. And YouTube was soon overflowing with influencers and grifters promising viewers thousands of dollars a month with AI copywriting tools.

But there haven’t been many investigations into how all that’s borne out since. How have the copywriters been faring, in a world awash in cheap AI text generators and wracked with AI adoption mania in executive circles? As always, we turn to the workers themselves. And once again, the stories they have to tell are unhappy ones. These are accounts of gutted departments, dried up work, lost jobs, and closed businesses. I’ve heard from copywriters who now fear losing their apartments, one who turned to sex work, and others, who, to their chagrin, have been forced to use AI themselves.

Readers of this series will recognize some recurring themes: The work that client firms are settling for is not better when it’s produced by AI, but it’s cheaper, and deemed “good enough.” Copywriting work has not vanished completely, but has often been degraded to gigs editing client-generated AI output. Wages and rates are in free fall, though some hold out hope that business will realize that a human touch will help them stand out from the avalanche of AI homogeneity.

As for Jacques, he’s relocated to Mexico, where the cost of living is cheaper, while he looks for new work. He’s not optimistic. As he put it, “It’s getting dark out there, man.”

Art by Koren Shadmi.

Before we press on, a quick word: Many thanks for reading Blood in the Machine and AI Killed My Job. This work is made possible by readers who pitch in a small sum each month to support it. And, for the cost of $6, a decent coffee a month, or $60 a year, you can help ensure it continues, and even, hopefully, expands. Thanks again, and onwards.

The next installments will focus on education, healthcare, and journalism. If you’re a teacher, professor, administrative assistant, TA, librarian, or otherwise work in education, or a doctor, nurse, therapist, pharmacist, or otherwise work in healthcare, please get in touch at AIKilledMyJob@pm.me. Same if you’re a reporter, journalist, editor, or a creative writer. You can read more about the project in the intro post, or the installments published so far.

This story was edited by Joanne McNeil.


They let go of the all the freelancers and used AI to replace us

Social media copywriter

I believe I was among the first to have their career decimated by AI. A privilege I never asked for. I spent nearly 6 years as a freelance social media copywriter, contracting through a popular company that worked with clients—mostly small businesses—across every industry you can imagine. I wrote posts and researched topics for everything from beauty to HVAC, dentistry, and even funeral homes. I had to develop the right voice for every client and transition seamlessly between them on any given day. I was frequently called out and praised, something that wasn’t the norm, and clients loved me. I was excellent at my job, and adapting to the constantly changing social media landscape and figuring out how to best the algorithms.

In early 2022, the company I contracted to was sold, which is never a sign of something good to come. Immediately, I expressed my concerns but was told everything would continue as it was and the new owners had no intention of getting rid of freelancers or changing how things were done. As the months went by, I noticed I was getting less and less work. Clients I’d worked with monthly for years were no longer showing up in my queue. I’d ask what was happening and get shrugged off, even as my work was cut in half month after month. At the start of the summer, suddenly I had no work. Not a single client. Maybe it was a slow week? Next week will be better. Until next week I yet again had an empty queue. And the week after. Panicking, I contacted my “boss”, who hadn’t been told anything. She asked someone higher up and it wasn’t until a week later she was told the freelancers had all been let go (without being notified), and they were going to hand the work off to a few in-house employees who would be using AI to replace the rest of us.

The company transitioned to a model where clients could basically “write” the content themselves, using Mad Libs-style templates that would use AI to generate the copy they needed, with the few in-house employees helping things along with some boilerplate stuff to kick things off.

They didn’t care that the quality of the posts would go down. They didn’t care that AI can’t actually get to know the client or their needs or what works with their customers. And the clients didn’t seem to care at first either, since they were assured it would be much cheaper than having humans do the work for them.

Since then, I’ve failed to get another job in social media copywriting. The industry has been crushed by things like Copy.AI. Small clients keep being convinced that there’s no need to invest in someone who’s an expert at what they do, instead opting for the cheap and easy solution and wondering why they’re not seeing their sales or engagement increasing.

For the moment, honestly I’ve been forced to get into online sex work, which I’ve never said “out loud” to anyone. There’s no shame in doing it, because many people genuinely enjoy doing it and are empowered by it, but for me it’s not the case. It’s just the only thing I’ve been able to get that pays the bills. I’m disabled and need a lot of flexibility in the hours I work any given day, and my old work gave me that flexibility as long as I met my deadlines – which I always did.

I think that’s another aspect to the AI job killing a lot of people overlook; what kind of jobs will be left? What kind of rights and benefits will we have to give up just because we’re meant to feel grateful to have any sort of job at all when there are thousands competing for every opening?

–Anonymous

I was forced to use AI until the day I was laid off

Corporate content copywriter

I’m a writer. I’ll always be a writer when it comes to my off-hours creative pursuits, and I hope to eventually write what I’d like to write full-time. But I had been writing and editing corporate content for various companies for about a decade until spring 2023, when I was laid off from the small marketing startup I had been working at for about six months, along with most of my coworkers.

The job mostly involved writing press releases, and for the first few months I wrote them without AI. Then my bosses decided to pivot their entire operational structure to revolve around AI, and despite voicing my concerns, I was essentially forced to use AI until the day I was laid off.

Copywriting/editing and corporate content writing had unfortunately been a feast-and-famine cycle for several years before that, but after this lay-off, there were far fewer jobs available in my field, and far more competition for these few jobs. The opportunities had dried up as more and more companies were relying on AI to produce content rather than human creatives. I couldn’t compete with copywriters who had far more experience than me, so eventually, I had to switch careers. I am currently in graduate school in pursuit of my new career, and while I believe this new phase of my life was the right move, I resent the fact that I had to change careers in the first place.

—Anonymous

I had to close my business after my client started using AI

Freelance copywriter

I worked as a freelance writer for 15 years. The last five, I was working with a single client – a large online luxury fashion seller based in Dubai. My role was writing product copy, and I worked my ass off. It took up all my time, so I couldn’t handle other clients. For the majority of the time they were sending work 5 days a week, occasionally weekends too and I was handling over 1000 descriptions a month. Sometimes there would be quiet spells for a week or two, so when they stopped contacting me…I first thought it was just a normal “dip”. Then a month passed. Then two. At that point, I contacted them to ask what was happening and they gave me a vague “We have been handling more of the copy in-house”. And that was that – I have never heard from them again, they didn’t even bother to tell me that they didn’t need my services any more. I’ve seen the descriptions they use now and they are 100% AI generated. I ended up closing my business because I couldn’t afford to keep paying my country’s self employment fees while trying to find new clients who would pay enough to make it worth continuing.

-Becky

We had a staff of 8 people and made about $600,000. This year we made less than $10k

Business copywriter

I was a business copywriter for eCommerce brands and did B2B sales copywriting before 2022.

In fact, my agency employed 8 people total at our peak. But then 2022 came around and clients lost total faith in human writing. At first we were hopeful, but over time we lost everything. I had to let go of everyone, including my little sister, when we finally ran out of money.

I was lucky, I have some friends in business who bought a resort and who still value my marketing expertise – so they brought me on board in the last few months, but 2025 was shaping up to be the worst year ever as a freelancer. I was looking for other jobs when my buddies called me.

At our peak, we went from making something like $600,000 a year and employing 8 people… To making less than $10K in 2025 before I miraculously got my new job.

Being repeatedly told subconsciously if not directly that your expertise is not valued or needed anymore – that really dehumanizes you as a person. And I’m still working through the pain of the two-year-long process that demolished my future in that profession.

It’s one of those rare times in life when a man cries because he is just feeling so dehumanized and unappreciated despite pouring his life, heart and soul into something.

I’ve landed on my feet for now with people who value me as more than a words-dispensing machine, and for that I’m grateful. But AI is coming for everyone in the marketing space.

Designers are hardly talked about any more. My leadership is looking forward to the day when they can generate AI videos for promotional materials instead of paying a studio $8K or more to film and produce marketing videos. And Meta is rolling out AI media buying that will replace paid ads agencies.

What jobs will this create? I can see very little. I currently don’t have any faith that this will get better at any point in the future.

I think the reason why is that I was positioned towards the “bottom” of the market, in the sense that my customers were nearly all startups and new businesses that people were starting in their spare time.

I had a partner Jake and together we basically got most of our clients through Fiverr. Fiverr customers are generally not big institutions or multi-nationals, although you do get some of that on Fiverr… It’s mostly people trying to start small businesses from the ground up.

I remember actually, when I was first starting out in writing, thinking “I can’t believe this is a job!” because writing has always come naturally to me. But the truth is, a lot of people out there go to start a business and what’s the first thing you do? You get a website, you find a template, and then you’re staring at a blank page thinking “what should I write about it?” And for them, that’s not an easy question to answer.

So that’s essentially where we fit in – and there’s more to it, as well, such as Conversion Rate Optimization on landing pages and so forth. When you boil it all down, we were helping small businesses find their message, find their market, and find their media – the way they were going to communicate with their market. And we had some great successes!

But nothing affected my business like ChatGPT did. All through Covid we were doing great, maybe even better because there were a lot of people staying home trying to start a new business – so we’d be helping people write the copy for their websites and so forth.

AI is really dehumanizing, and I am still working through issues of self-worth as a result of this experience. When you go from knowing you are valuable and valued, with all the hope in the world of a full career and the ability to provide other people with jobs… To being relegated to someone who edits AI drafts of copy at a steep discount because “most of the work is already done” …

2022-2023 was a weird time, for two reasons.

First, because I’m a very aware person – I remember that AI was creeping up on our industry before ChatGPT, with Jasper and other tools. I was actually playing with the idea of creating my own AI copywriting tool at the time.

When ChatGPT came out, we were all like “OK, this is a wake up call. We need to evolve…” Every person I knew in my industry was shaken.

Second, because the economy wasn’t that great. It had already started to downturn in 2022, and I had already had to let a few people go at that point, I can’t remember exactly when.

The first part of the year is always the slowest. So January through March, you never know if that’s an indication of how bad the rest of the year is going to be.

In our case, it was. But I remember thinking “OK, the stimulus money has dried up. The economy is not great.” So I wasn’t sure if it was just broad market conditions or ChatGPT specifically.

But even the work we were doing was changing rapidly. We’d have people come to us like “hey, this was written by ChatGPT, can you clean it up?”

And we’d charge less because it was just an editing job and not fully writing from scratch.

The drop off from 2022 to 2023 was BAD. The drop off from 2023 to 2024 was CATASTROPHIC.

By the end of that year, the company had lost the remaining staff. I had one last push before November 2023 (the end of the year has historically been the best time for our business, with Black Friday and Christmas) but I only succeeded in draining my bank account, and I was forced to let go of our last real employee, my sister, in early 2024. My brother and his wife were also doing some contract work for me at the time, and I had to end that pretty abruptly after our big push failed.

I remember, I believed that things were going to turn around again once people realized that even having a writing machine was not enough to create success like a real copywriter can. After all, the message is only one part of it – and divorced from the overall strategy of market and media, it’s never as effective as it can be.

In other words, there’s a context in which all marketing messages are seen, and it takes a human to understand what will work in that context.

But instead, what happened is that the pace of adoption was speeding up and all of those small entrepreneurs who used to rely on us, now used AI to do the work.

The technological advancements of GPT-4, and everyone trying to build their own AI, dominated the airwaves throughout 2023 and 2024. And technology adoption skyrocketed.

The thing is, I can’t even blame people. To be honest, when I’m writing marketing copy I use AI to speed up the process.

I still believe you need intelligence and strategy behind your ideas, or they will simply be meaningless words on a screen – but I can’t blame people for using these very cheap tools instead of paying an expert hundreds of dollars to get their website written.

Especially in my end of the market, where we were working with startup entrepreneurs who are bootstrapping their way to success.

When I officially left the business a few months ago, that left just my partner manning the Fiverr account we started with over 8 years ago.

I think the account is active enough to support a single person now, but I wouldn’t be so sure about next year. The drop off from 2022 to 2023 was BAD. The drop off from 2023 to 2024 was CATASTROPHIC.

Normally there are signs of life around April – in 2025, May had come and there was hardly a pulse in the business.

I still believe there may be a space for copywriters in the future, but much like tailors and seamstresses, it will be a very, very niche market for only the highest-end clients.

—Marcus Wiesner

My hours have been cut from nearly full time to 4-5 a month

Medical writer

I’m a medical writer; I work as a contract writer for a large digital marketing platform, adapting content from pharma companies to fit our platform. Medical writers work in regulatory, clinical, and marketing fields and I’m in marketing. I got my current contract job just 2 years ago, back when you could get this job with just a BA/BS.

In the last 2 years the market has changed drastically. My hours have been cut from nearly full time up to March ‘24 to 4-5 a month now if I’m lucky. I’ve been applying for new jobs for over a year and have had barely a nibble.

The trend now seems to be to have AI produce content, and then hire professionals with advanced degrees to check it over. And paying them less per hour than I make now when I actually work.

I am no longer qualified to do the job I’ve been doing, which is really frustrating. I’m trying to find a new career, trying to start over at age 50.

—Anonymous

We learned our work had been used to train LLMs and our jobs were outsourced to India

Editor for Gracenotes

So I lost my previous job to AI, and a lot of other things. I always joke that the number of historical trends that led to me losing it is basically a summary of the recent history of Western Civilization.

I used to be a schedule editor for Gracenote (the company that used to find metadata for CDs that you ripped into iTunes). They got bought by Nielsen, the TV ratings company, and then tasked with essentially adding metadata to TV guide listings. When you hit the info button on your remote, or when you Google a movie and get the card, a lot of that is Gracenote. The idea was that we could provide accurate, consistent, high-quality text metadata that companies could buy to add to their own listings. There’s a specific style of Gracenote Description Writing that still sticks out to me every time I see it.

So, basically from when I joined the company in late 2021 things were going sideways. I’m based in the Netherlands and worker protections are good, but we got horror stories of whole departments in the US showing up, being called into a “town hall” and laid off en-masse, so the writing was on the wall. We unionised, but they seemed to be dragging their feet on getting us a CAO (Collective Labour Agreement) that would codify a lot of our benefits.

The way the job worked was each editor would have a group of TV channels they would edit the metadata for. My team worked on the UK market, and a lot of us were UK transplants living in the NL. During my time there I did a few groups but, being Welsh, I eventually ended up with the Welsh, Irish and Scottish channels like S4C, RTE, BBC Alba. The two skills we were selling to the company were essentially: knowledge of the UK TV market used to prioritise different shows, and a high degree of proficiency in written English (and I bet you think you know why I lost the job to AI, but hold on).

Around January 2024 they introduced a new tool in the proprietary database we used, that totally changed how our work was done. Instead of channel groups that we prioritised ourselves, instead we were given an interface that would load 10 or so show records from any channel group, which had been auto-sorted by priority. It was then revealed to us that for the last two years or so, every single bit of our work in prioritisation had been fed into machine learning to try and work out how and why we prioritised certain shows over others.

“Hold on” we said, “this kind of seems like you’ve developed a tool to replace us with cheap overseas labour and are about to outsource all our jobs”

“Nonsense,” said upper management, “ignore the evidence of your lying eyes.”

That is, of course, what they had done.

They had a business strategy they called “automation as a movement” and we assumed they would be introducing LLMs into our workflow. But, as they openly admitted when they eventually told us what they were doing, LLMs simply weren’t (and still aren’t) good enough to do the work of assimilating, parsing and condensing the many different sources of information we needed to do the job. Part of it was accuracy, we would often have to research show information online and a lot of our job amounted to enclosing the digital commons by taking episode descriptions from fanwikis and rewriting them; part of it was variety, the information for the descriptions was ingested into our system in many different ways including press sites, press packs from the channels, emails, spreadsheets, etc etc and “AI” at the time wasn’t up to the task. The writing itself would have been entirely possible, it was already very formulaic, but getting the information to the point it was writable by an LLM was so impractical as to be impossible.

So they automated the other half of the job, the prioritisation. The writing was outsourced to India. As I said at the start, there’s a lot of historical currents at play here. Why are there so many people in India who speak and write English to a high standard? Don’t worry about it!

And, the cherry on the cake, both the union and the works council knew this would be happening, but were legally barred from telling us because of “competitive advantage”. They negotiated a pretty good severance package for those of us on “vastcontracts” (essentially permanent employees, as opposed to time-limited contracts) but it still saw a team of 10 reduced to 2 in the space of a month.

—Anonymous

Coworkers told me to my face that AI could and maybe should be doing all my work

Nonprofit communications worker

I currently work in nonprofit communications, and worked as a radio journalist for about four years before that. I graduated college in 2020 with a degree in music and broadcasting.

In my current job, I hear about the benefits of AI on a weekly basis. Unfortunately, those benefits consist of doing tasks that are a part of my direct workload. I’m already struggling to handle the amount of downtime that I have, as I had worked in the always-behind-schedule world of journalism before this (in fact, I am writing this on the clock right now). My duties consist mainly of writing for and putting together weekly and quarterly newsletters and writing our social media.

After a volunteer who recorded audio versions of our newsletters passed away suddenly, it was brought up in a meeting two hours after we heard the news that AI should be the one to create the audio versions going forward. I had to remind them that I am in fact an award-winning radio journalist and audio producer (I produce a few podcasts on a freelance basis, some of which are quite popular) and that I already have little work to do and would be able to take over those duties. After about two weeks of fighting, it was decided that I would be recording those newsletters. I also make sure our website is up-to-date on all of our events and community outings. At some point, I stopped being asked to write blurbs about the different events and I learned that this task was now being done by our IT Manager using AI to write those blurbs instead. They suck, but I don’t get to make that distinction. It has been brought up more than once that our social media is usually pretty fact-forward, and could easily be written by AI. That might be true, but it is also about half of my already very light workload. If I lost that, I would have very little to do. This has not yet been decided.

I have been told (to my face!) by my coworkers that AI could and maybe should be doing all of my work. People who are otherwise very progressive leaning seem to see no problem with me being out of work. While it was a win for me to be able to record the audio newsletters, I feel as if I am losing the battle for the right to do what I have spent the last five years of my life doing. I am 30 and making pennies, barely able to afford a one-bedroom apartment, while logging three-to-four hours of solitaire on my phone every day. This isn’t what I signed up for in life. My employers have given me some new work to do, but that is mostly planning parties and spreading cheer through the workplace, something I loathe and was never asked to do. There are no jobs in my field in my area.

If things keep progressing at this rate… I’ll be nothing but a party planner. I don’t even like parties. Especially not for people who think I should be out of a job.

I have seen two postings in the past six months for communications jobs that pay enough for me to continue living in my apartment. I got neither of them.

While I am still able to write my newsletter articles, those give me very little joy and if things keep progressing at this rate I won’t even have those. I’ll be nothing but a party planner. I don’t even like parties. Especially not for people who think I should be out of a job.

At this rate, I have seen little pushback from my employer about having AI do my entire job. Even if I think this is a horrible idea, as the topics I write about are often sensitive and personal, I have no faith that they will not go in this direction. At this point, I am concerned about layoffs and my financial future.

[We checked in with the contributor a few weeks after he reached out to us and he gave us this update:]

I am now being sent clearly AI written articles from heads of other departments (on subjects that I can and will soon be writing about) for publication on our website. And when I say “clearly AI,” I mean I took one look and knew immediately and was backed up by an online AI checker (which I realize is not always accurate but still). The other change is that the past several weeks have taught me that I don’t want to be a part of this field any longer. I can find another comms job, and actually have an interview with another company tomorrow, but have no reason to believe that they won’t also be pushing for AI at every turn.

—Anonymous

I’m a copywriter by trade. These days I do very little

Copywriter

I’m a copywriter by trade. These days I do very little. The market for my services is drying up rapidly and I’m not the only one who is feeling it. I’ve spoken to many copywriters who have noticed a drop in their work or clients who are writing with ChatGPT and asking copywriters to simply edit it.

I have clients who ask me to use AI wherever I can and to let them know how long it takes. It takes me less time and that means less money.

Some copywriters have just given up on the profession altogether.

I have been working with AI for a while. I teach people how to use it. What I notice is a move towards becoming an operator.

I craft prompts, edit through prompts and add my skills along the way (I feel my copywriting skills mean I can prompt and analyse output better than a non-writer). But writing like this doesn’t feel like it used to. I don’t go through the full creative process. I don’t do the hard work that makes me feel alive afterwards. It’s different, more clinical and much less rewarding.

I don’t want to be a skilled operator. I want to be a human copywriter. Yet, I think these days are numbered.

—Anonymous

I did “adapt or die” using AI, but I’m still in a precarious position

Ghostwriter

From 2010-today I worked as a freelance writer in two capacities: freelance journalism for outlets like Cannabis Now, High Times, Phoenix New Times, and The Street, and ghostwriting through a variety of marketplaces (elance, fiverr, WriterAccess, Scripted, Crowd Content) and agencies (Volume 9, Influence & Co, Intero Digital, Cryptoland PR).

The freelance reporting market still exists but is extremely competitive and pretty poorly paid. So I largely made my living ghostwriting to supplement income. The marketplaces all largely dried up unless you have a highly ranked account. I do not because I never wanted to grind through the low paid work long enough. I did attempt to use ChatGPT for low-paid WriterAccess jobs but got declined.

Meanwhile, my steadiest ghostwriting client was Influence & Co/Intero Digital. Through this agency, I have ghostwritten articles for nearly everyone you can think of (except Vox/Verge): NYT, LA Times, WaPo, WSJ, Harvard Business Review, Venture Beat, HuffPost, AdWeek, and so many more. And I’ve done it for execs for large tech companies, politicians, and more. The reason it works is because they have guest posts down to a science.

They built a database of all publisher’s guidelines. If I wanted to be in HBR, I knew the exact submission guidelines and could pitch relevant topics based on the client. Once the pitch is accepted, an outline is written, and the client is interviewed. This interview is crucial because it’s where we tap into the source and gain firsthand knowledge that can’t be found online. It also gets the client’s natural voice. I then combine the recorded interview with targeted online research to find statistics and studies to back up what the client says, connect it to recent events, and format to the publisher’s specs.

So ChatGPT came along December 2022, and for most of 2023 things were fine, although Influence & Co was bought by Intero, so internal issues were arising. I was with this company from the start when they were emailing word docs through building the database and selling the company several times. I can go on and on about how it all works.

We as writers don’t use ChatGPT, but it still seeped into the workflow from the client. The client interview I mentioned above as being vital because it gets info you can’t get online and their voice and everything you need to do it right—well those clients started using ChatGPT. By the end of 2023, I couldn’t handle it anymore because my job fundamentally changed. I was no longer learning anything. That vital mix that made it work was gone, and it was all me combining ChatGPT and the internet to try and make it fit into those publications above, many of which implemented AI detection, started publishing their own AI articles, and stopped accepting outside contributions.

I could probably write a book about the backend of all this stuff and how guest posts end up on every media outlet on the planet. Either way, ChatGPT ruined it

The thing about writing in this instance is that it doesn’t matter how many drafts you write, if it doesn’t get published in an acceptable publication, then it looks like we did nothing. What was steady work for over a decade slowed to a trickle, and I was tired of the work that was coming in because it was so bad.

Last summer, I emailed them and quit. I could no longer depend on the income. It was $1500-$3000 a month for over a decade and then by 2024 was $100 a month. And I hated doing it. It was the lowest level bs work I hated so much. I loved that job because I learned so much and I was challenged trying to get into all those publications, even if it was a team effort and not just me. I wrote some killer articles that ChatGPT could never. And the reason AI took my job is because clients who hired me for hundreds to thousands of dollars a month decided it’s not worth their time to follow our process and instead use ChatGPT.

That is why I think it’s important to talk about. I probably could still be working today in what became a content mill. And the reason it ultimately became no longer worth it isn’t all the corporate changes. It wasn’t my boss who was using AI—it was our customers. Working with us was deemed not important, and it’s impossible to explain to someone in an agency environment that they’re doing it to themselves. They will just go to a different agency and keep trying, and many of the unethical ones will pull paid tricks that make it look more successful than it is, like paying Entrepreneur $3000 for a year in their leadership network. (Comes out to paying $150 per published post, which is wild considering the pay scale above).

The whole YEC publishing conglomerate is another rabbit hole. Forbes, CoinTelegraph, Newsweek, and others have the same paid club structure that happens to come with guest post access. And those publishers allow paid marketing in the guise of editorials.

I could probably write a book about the backend of all this stuff and how guest posts end up on every media outlet on the planet. Either way, ChatGPT ruined it, and I’m largely retired now. I am still doing some ghostwriting, but it’s more in the vein of PR and marketing work for various agencies I can find that need writers. The market still exists, even if I have to work harder for clients.

And inexplicably, the reason we met originally was because I was involved in the start of Adobe Stock accepting AI outputs from contributors. I now earn $2500 per month consistently from that and have a lot of thoughts about how as a writer with deep inside knowledge of the writing industry, I couldn’t find a single way to “adapt or die” and leverage ChatGPT to make money. I could probably put up a website and build some social media bots. But plugging AI into the existing industry wasn’t possible. It was already competitive. Yet I somehow managed to build a steady recurring residual income stream selling Midjourney images on Adobe stock for $1 a piece. I’m on track to earn $30,000 this year from that compared to only $12,000 from writing. I used to earn $40,000-$50,000 a year doing exclusively writing from 2011-2022.

I did “adapt or die” using AI, but I’m still in a precarious position. If Adobe shut down or stopped accepting AI, I’ll be screwed. It doesn’t help that I’m very vocally against Adobe and called them out last year via Bloomberg for training firefly on Midjourney outputs when I’m one of the people making money from it. I’m fascinated to learn how the court cases end up and how it impacts my portfolio. I’m currently working to learn photography and videography well enough to head to Vegas and LA for conferences next year to build a real editorial stock portfolio across the other sites.

So my human writing job was reduced below a living wage, and I have an AI image portfolio keeping me afloat while I try to build a human image/video portfolio faster than AI images are banned. Easy peasy right?

–Brian Penny

The agency was begging me to take on more work. Then it had nothing for me

Freelance copywriter

I was a freelance copywriter. I am going to be fully transparent and say I was never one of those people that hustled the best, but I had steady work. Then AI came and one of the main agencies that I worked for went from begging me to take on more work to having 0 work for me in just 6-8 months. I struggled to find other income, found another agency that had come out of the initial AI hype and built a base of clients that had realized AI was slop, only for their customer base to be decimated by Trump’s tariffs about a month after I joined.

What I think people fail to realize when they talk about AI is that this is coming on the tail end of a crisis in employment for college grads for years. I only started freelancing because I applied to hundreds of jobs after winding up back at my mom’s house during COVID-19. Anecdotally, most of my friends that I graduated with (Class of 2019) spent years struggling to find stable, full-time jobs with health insurance, pre-AI. Add AI to the mix, and getting your foot in the door of most white collar industries just got even harder.

As I continue airing my grievances in your email, I remember when ChatGPT first came out a lot of smug literary types on Twitter were saying “if your writing can be replaced by AI then it wasn’t good to begin with,” and that made me want to scream. The writing that I’m actually good at was the writing that nobody was going to pay me for because the media landscape is decimated!

Content writing/copywriting was supposed to be the way you support yourself as an artist, and now even that’s gone.

—Rebecca Duras

My biggest client replaced me with a custom GPT. They surely trained it using my work

Copywriter and Marketing Consultant

I am a long-time solopreneur and small business owner, who got into the marketing space about 8 years ago. This career shift was quite the surprise to me, as for most of my career I didn’t like marketing…or marketers. But here we are ;p

While I don’t normally put it in these terms, what shifted everything for me was realizing that copywriting was a thing — it could make a huge difference in my business and for other businesses, too. With a BA in English, and after doing non-marketing writing projects on the side for years, it just made a ton of sense to me that the words we use to talk about our businesses can make a big difference. I was hooked.

After pursuing some training, I had a lucrative side-hustle doing strategic messaging work and website copy for a few years before jumping into full-time freelancing in 2021. The work was fun, the community of marketers I was a part of was amazing, and I was making more money than I ever could have in my prior business.

And while the launch of ChatGPT in Nov ‘22 definitely made many of us nervous — writing those words brings into focus how stressful the existential angst has actually been since that day — for me and many of my copywriting friends, the good times just kept rolling. 2023 was my best year ever in business — by a whopping 30%. I wasn’t alone. Many of my colleagues were also killing it.

All of that changed in 2024.

Early that year, the AI propaganda seemed to hit its full crescendo, and it started significantly impacting my business. I quickly noticed leads were down, and financially, things started feeling tight. Then, that spring, my biggest retainer client suddenly gave me 30-days notice that they wouldn’t renew my contract — which made up half of what I needed to live on. The decision caught everyone, including the marketing director, off guard. She loved what I was doing for them and cried when she told me the news. I later found out through the grapevine that the CEO and his right hand guy were hoping to replace me with a custom GPT they had created. They surely trained it using my work.

The AI-related hits kept coming. The thriving professional community I enjoyed pretty much imploded that summer – largely because of some unpopular leadership decisions around AI. Almost all of my skilled copywriter friends left the organization — and while I’ve lost touch with most, the little I have heard is that almost all of them have struggled. Many have found full-time employment elsewhere.

I won’t go into all the ins-and-outs of what has happened to me since, and I’ll leave my rant about getting AI slop from my clients to “edit” alone. (Briefly, that task is beyond miserable.)

But I will say from May of 2024 to now, I’ve gone from having a very healthy business and amazing professional community, to feeling very isolated and struggling to get by. Financially, we’ve burned through $20k in savings and almost $30k in credit cards at this point. We’re almost out of cash and the credit cards are close to maxed. Full-time employment that’d pay the bills (and get us out of our hole) just isn’t there. Truthfully, if it wasn’t for a little help from some family – and basically being gifted two significant contracts through a local friend – we’d be flat broke with little hope on the horizon. Despite our precarious position, continuing to risk freelance work seems to be our best and pretty much only option.

I do want to say, though, that even though it’s bleak, I see some signs for hope. In the last few months, in my experience many business owners are waking up to the fact that AI can’t do what it claims it can. Moreover, with all of the extra slop around, they’re feeling even more overwhelmed – which means if you can do any marketing strategy and consulting, you might make it.

But while I see that things might be starting to turn, the pre-AI days of junior copywriting roles and freelancers being able making lots of money writing non-AI content seem to be long gone. I think those writers who don’t lean on AI and find a way to make it through will be in high-demand once the AI-illusion starts to lift en masse. I just hope enough business owners who need marketing help wake up before then so that more of us writers don’t have to starve.

–Anonymous

source: https://www.bloodinthemachine.com/p/i-was-forced-to-use-ai-until-the

Kids in China Are Using Bots and Engagement Hacks to Look More Popular on Their Smartwatches

 
 
In China, parents are buying smartwatches for children as young as 5, connecting them to a digital world that blends socializing with fierce competition.
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Photo-Illustration: WIRED Staff; Getty Images
 
 

At what age should a kid ideally get a smartwatch? In China, parents are buying them for children as young as five. Adults want to be able to call their kids and track their location down to a specific building floor. But that’s not why children are clamoring for the devices, specifically ones made by a company called Xiaotiancai, which translates to Little Genius in English.

The watches, which launched in 2015 and cost up to $330, are a portal into an elaborate world that blends social engagement with relentless competition. Kids can use the watches to buy snacks at local shops, chat and share videos with friends, play games, and, sure, stay in touch with their families. But the main activity is accumulating as many “likes” as possible on their watch’s profile page. On the extreme end, Chinese media outlets have reported on kids who buy bots to juice their numbers, hack the watches to dox their enemies, and sometimes even find romantic partners. According to tech research firm Counterpoint Research, Little Genius accounts for nearly half of global market share for kids’ smartwatches.

Status Games

Over the past decade, Little Genius has found ways to gamify nearly every measurable activity in the life of a child—playing ping pong, posting updates, the list goes on. Earning more experience points boosts kids to a higher level, which increases the number of likes they can send to friends. It’s a game of reciprocity—you send me likes, and I’ll return the favor. One 18-year-old recently told Chinese media that she had struggled to make friends until four years ago when a classmate invited her into a Little Genius social circle. She racked up more than one million likes and became a mini-celebrity on the platform. She said she met all three of her boyfriends through the watch, two of whom she broke up with because they asked her to send erotic photos.

 

High like counts have become a sort of status symbol. Some enthusiastic Little Genius users have taken to RedNote (or Xiaohongshu), a prominent Chinese social media app, to hunt for new friends so as to collect more likes and badges. As video tutorials on the app explain, low-level users can only give out five likes a day to any one friend; higher-ranking users can give out 20. Because the watch limits its owner to a total of 150 friends, kids are therefore incentivized to maximize their number of high-level friends. Lower-status kids, in turn, are compelled to engage in competitive antics so they don’t get dumped by higher-ranking friends.

“They feel this sense of camaraderie and community,” said Ivy Yang, founder of New York-based consultancy Wavelet Strategy, who has studied Little Genius. “They have a whole world.” But Yang expressed reservations about the way the watch seems to commodify friendship. “It’s just very transactional,” she adds.

Engagement Hacks

On RedNote/Xiaohongshu, people post videos on circumventing Little Genius’s daily like limits, with titles such as “First in the world! Unlimited likes on Little Genius new homepage!” The competitive pressure has also spawned businesses that promise to help kids boost their metrics. Some high-ranking users sell their old accounts. Others sell bots that send likes or offer to help keep accounts active while the owner of a watch is in class.

Get enough likes—say, 800,000—and you become a “big shot” in the Little Genius community. Last month, a Chinese media outlet reported that a 17-year-old with more than 2 million likes used her online clout to sell bots and old accounts, earning her more than $8,000 in a year. Though she enjoyed the fame that the smartwatch brought her, she said she left the platform after getting into fights with other Little Genius “big shots” and facing cyberbullying.

 

In September, a Beijing-based organization called China’s Child Safety Emergency Response warned parents that children with Little Genius watches were at risk of developing dangerous relationships or falling victim to scams. Officials have also raised alarms about these hidden corners of the Little Genius universe. The Chinese government has begun drafting national safety standards for children’s watches, following growing concerns over internet addiction, content unfit for children, and overspending via the watch payment function. The company did not respond to requests for comment.

I talked to one parent who had been reluctant to buy the watch. Lin Hong, a 48-year-old mom in Beijing, worried that her nearsighted daughter, Yuanyuan, would become obsessed with its tiny screen. But once Yuanyuan turned 8, Lin relented and splurged on the device. Lin’s fears quickly materialized.

 

Yuanyuan loved starting her day by customizing her avatar’s appearance. She regularly sent likes to her friends and made an effort to run and jump rope to earn more points. “She would look for her smartwatch first thing every morning,” Lin said. “It was like adults, actually, they’re all a bit addicted.”

 

To curb her daughter’s obsession, Lin limited Yuanyuan’s time on the watch. Now she’s noticing that her daughter, who turns 9 soon, chafes at her mother’s digital supervision. “If I call her three times, she’ll finally pick up to say, ‘I’m still out, stop calling. I’m not done playing yet,’ and hang up,” Lin said. “If it’s like this, she probably won’t want to keep wearing the watch for much longer.”


This is an edition of Zeyi Yang and Louise Matsakis Made in China newsletter. Read previous newsletters here.

 

Apple Shortcuts with AI capabilities

Source: https://www.wired.com/story/apple-shortcuts-just-got-a-lot-better/

Apple’s Most Overlooked App Just Got a Lot Better

Apple Shortcuts, which lets users write custom automations, recently earned some new capabilities thanks to Apple Intelligence. Here’s how to make the most of this upgrade.

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As sentences go, “Apple Intelligence now works in Apple Shortcuts” isn’t the most likely to inspire a lot of people to click a link. And that’s too bad: This change, one of the more overlooked new features in macOS 26, means you can use Apple’s on-board AI to do all kinds of things while designing shortcuts.

Look, I get it: Apple Intelligence makes AI a feature, not a product, and features are generally less interesting to read about than full-blown products. And Apple Shortcuts—which lets you create one simple automation to execute multiple tasks—is one of those features that’s easy to overlook. But it can save you a lot of time, if you own a device that supports the AI engine and you’re willing to put in a bit of effort to automate tasks you do often.

I, for example, set up my daily journal with Shortcuts, creating a fresh journal entry that pulls in things like the weather, a quote, and a general structure. I use this shortcut just about every day, and it makes my life better.

Adding a large language model to Shortcuts means it’s easier to build automations that can simplify your life. Here’s how:

How This Works

Head to Apple Shortcuts, create a new shortcut, and you’ll see “Apple Intelligence” as one of the listed applications that’s supported. There are a few Actions related to text, allowing you to do things like proofread, summarize, and make a list from text. You also get the ability to create an image, if you want.

For my money, though, the most useful Action offered is “Use Model,” mostly because of how open-ended it is. With this you can choose between three models—the totally offline and private model running on your device, a server offered by Apple using the same models, or even ChatGPT (no subscription or API key necessary).

You can write any prompt you want, allowing you to manipulate text in all kinds of useful ways. I, for example, wanted to be able to quickly copy the details of an event invitation from a text message or email, then add it to my calendar. I created a new shortcut that grabs the current text from the clipboard. I added a bunch of Use Model steps that use the original text and output things like an event title, the start time for the event, and the location. Then I set the shortcut to create an event using these details.

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It all took some fine-tuning, sure, but it now works well enough that I can add events to my calendar much more quickly than ever before. And I made a similar shortcut for adding items to Reminders, which I use as my primary to-do list.

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Neither of these are perfect—they get things wrong, which I’m sure I could prevent with more fine-tuning. But they work well enough, and they let me review entries before adding them to my calendar. This has already saved me a bit of time in day-to-day life.

I’m sure you can think of some similar task you can automate. My point isn’t to say that you should use this exact shortcut—it’s to say that you can build a shortcut that works exactly the way you want it. The AI means you can grab details from text that’s not necessarily structured in a clean way and output those details exactly where needed.

I’ve mentioned in multiple articles over the past few weeks that I don’t think the chatbot will ultimately be the primary way most of us actually use AI in the coming years. Apple’s Shortcuts, which empowers the user to build things using the technology, is the version of this technology I would like to see catch on—a feature that makes existing tools a little bit better.

OpenAI’s Atlas Browser Takes Direct Aim at Google Chrome

The new ChatGPT-powered web browser is OpenAI’s boldest play yet to reinvent how people use the web.

Illustration of several web browsers with the OpenAI logo and search bars

Illustration: WIRED Staff

OpenAI announced on Tuesday it’s rolling out a new internet browser called Atlas that integrates directly with ChatGPT. Atlas includes features like a sidebar window people can use to ask ChatGPT questions about the web pages they visit. There’s also an AI agent that can click around and complete tasks on a user’s behalf.

“We think that AI represents a rare, once-a-decade opportunity to rethink what a browser can be about,” OpenAI CEO Sam Altman said during a livestream announcing Atlas. “Tabs were great, but we haven’t seen a lot of browser innovation since then.”

Atlas debuts as Silicon Valley races to use generative AI to reshape how people experience the internet. Google has also announced a plethora of AI features for its popular Chrome browser, including a “sparkle” button that launches its Gemini chatbot. Chrome remains the most used browser worldwide.

OpenAI says the Atlas browser will be available starting today for ChatGPT users globally on macOS. Windows and mobile options are currently in the works. Atlas is free to use, though its agent features are reserved for subscribers to OpenAI’s ChatGPT Plus or ChatGPT Pro plans.

OpenAI highlighted how Atlas can help users research vacations and other activities.

“We’ve made some major upgrades to search on ChatGPT when accessed via Atlas,” Ryan O’Rouke, OpenAI’s lead designer for the browser, said during the livestream. If a user asks for movie reviews in the Atlas search bar, a chatbot-style answer will pop up first, rather than the more traditional collection of blue links users might expect when searching the web via Google.

Now, in addition to that result, users can switch to other tabs to see a collection of website links, images, videos, or news related to their queries. It’s a bit of an inversion of the Google Chrome experience. Rather than the search result being a collection of links with AI features added on top of that, the AI chatbot is central in Atlas, with the list of website links or image results as secondary.

Another feature OpenAI highlighted in the livestream is Atlas’ ability to collect “browser memories.” The capability is optional, and is an iteration of ChatGPT’s existing memory tool that stores details about users based on their past interactions with the chatbot. The browser can recall what you searched for in the past and use that data when suggesting topics of interest and actions to take, like automating an online routine it detects or returning back to a website you previously visited that could be helpful for a current project.

In Atlas users can highlight whatever they are writing and request assistance from ChatGPT.
Atlas has an optional memory feature that can recall what users searched for in the past.

Tech giants and smaller startups have been experimenting with baking AI into web browsers for the past several years. Microsoft was one of the first movers when it threw its AI tool, called Bing at the time, into its Edge browser as a sidebar. Since then, browser-focused companies like Opera and Brave have also continued to tinker with different AI integrations. Another notable entry in the AI browser wars is Perplexity’s Comet, which launched this year and is also free to use.

Source: https://www.wired.com/story/openai-atlas-browser-chrome-agents-web-browsing/

AI Is Changing What High School STEM Students Study

AI isn’t coming—it’s here. Today’s STEM students aren’t fighting it; they’re learning to read it, question it, and use it. The new skill isn’t coding the machine, but understanding its logic well enough to steer it.

A degree in computer science used to promise a cozy career in tech. Now, students’ ambitions are shaped by AI, in fields that blend computing with analysis, interpretation, and data.

In the early 2010s, nearly every STEM-savvy college-bound kid heard the same advice: Learn to code. Python was the new Latin. Computer science was the ticket to a stable, well-paid, future-proof life.

But in 2025, the glow has dimmed. “Learn to code” now sounds a little like “learn shorthand.” Teenagers still want jobs in tech, but they no longer see a single path to get there. AI seems poised to snatch up coding jobs, and there aren’t a plethora of AP classes in vibe coding. Their teachers are scrambling to keep up.

“There’s a move from taking as much computer science as you can to now trying to get in as many statistics courses” as possible, says Benjamin Rubenstein, an assistant principal at New York’s Manhattan Village Academy. Rubenstein has spent 20 years in New York City classrooms, long enough to watch the “STEM pipeline” morph into a network of branching paths instead of one straight line. For his students, studying stats feels more practical.

Forty years ago, students inspired by NASA dreamed of becoming physicists or engineers. Twenty years after that, the allure of jobs at Google or other tech giants sent them into computer science. Now, their ambitions are shaped by AI, leading them away from the stuff AI can do (coding) and toward the stuff it still struggles with. As the number of kids seeking computer science degrees falters, STEM-minded high schoolers are looking at fields that blend computing with analysis, interpretation, and data.

Rubenstein still requires every student to take computer science before graduation, “so they can understand what’s going on behind the scenes.” But his school’s math department now pairs data literacy with purpose: an Applied Mathematics class where students analyze New York Police Department data to propose policy changes, and an Ethnomathematics course linking math to culture and identity. “We don’t want math to feel disconnected from real life,” he says.

It’s a small but telling shift—one that, Rubenstein says, isn’t happening in isolation. After a long boom, universities are seeing the computer-science surge cool. The number of computer science, computer engineering, and information degrees awarded in the 2023–2024 academic year in the US and Canada fell by about 5.5 percent from the previous year, according to a survey by the nonprofit Computing Research Association.

At the high school level, the appetite for data is visible. AP Statistics logged 264,262 exam registrations in 2024, making it one of the most-requested AP tests, per Education Week. AP computer-science exams still draw big numbers—175,261 students took AP Computer Science Principles, and 98,136 took AP Computer Science A in 2024—but the signal is clear: Data literacy now sits alongside coding, not beneath it.

“Students who see themselves as STEM people will pursue whatever they think makes them a commodity, something valued in the workplace,” Rubenstein says. “The workplace can basically shift education if it wants to by saying, ‘Here’s what we need from students.’ K–12 will follow suit.”

Amid all this, AI’s rise leaves teachers in a difficult position. They’re trying to prepare students for a future defined by machine learning while managing how easily those same tools can short-circuit the learning process.

Yet Rubenstein believes AI could become a genuine ally for STEM educators, not a replacement. He imagines classrooms where algorithms help teachers identify which students grasp a concept and which need more time, or suggest data projects aligned with a student’s interests—ways to make learning more individualized and applied.

It’s part of the same shift he’s seen in his students: a move toward learning how to interpret and use technology, not just build it. Other educators are starting to think along similar lines, exploring how AI tools might strengthen data literacy or expand access to personalized STEM instruction.

At the University of Georgia, science education researcher Xiaoming Zhai is already testing what that could look like. His team builds what he calls “multi-agent classroom systems,” AI assistants that interact with teachers and students to model the process of scientific inquiry.

Zhai’s projects test a new kind of literacy: not just how to use AI but how to think with it. He tells the story of a visiting scholar who had never written a line of code yet used generative AI to build a functioning science simulation.

“The bar for coding has been lowered,” he says. “The real skill now is integrating AI with your own discipline.”

Zhai believes AI shouldn’t be treated as an amalgamation of STEM disciplines but as part of its core. The next generation of scientists, he says, will use algorithms the way their predecessors used microscopes—to detect patterns, test ideas, and push the boundaries of what can be known. Coding is no longer the frontier; the real skill is learning how to interpret and collaborate with machine intelligence. As chair of a national committee on AI in science education, Zhai is pushing to make that shift explicit, urging schools to teach students to harness AI’s precision while staying alert to its blind spots.

“AI can do some work humans can’t,” he says, “but it also fails spectacularly outside its training data. We don’t want students who think AI can do everything or who fear it completely. We want them to use it responsibly.”

That balance between fluency and skepticism, ambition and identity, is quietly rewriting what STEM means in schools like Rubenstein’s. Computer-science classes aren’t going away, but they’re sharing the stage with forensics electives, science-fiction labs and data-ethics debates.

“Students can’t think of things as compartmentalized anymore,” Rubenstein says. “You need multiple disciplines to make good decisions.”

AI isn’t coming—it’s here. Today’s STEM students aren’t fighting it; they’re learning to read it, question it, and use it. The new skill isn’t coding the machine, but understanding its logic well enough to steer it.

Source: https://www.wired.com/story/stem-high-school-students-artficial-intelligence/

Forget SEO. Welcome to the World of Generative Engine Optimization

This holiday season, rather than searching on Google, more Americans will likely be turning to large language models to find gifts, deals, and sales. Retailers could see up to a 520 percent increase in traffic from chatbots and AI search engines this year compared to 2024, according to a recent shopping report from Adobe. OpenAI is already moving to capitalize on the trend: Last week, the ChatGPT maker announced a major partnership with Walmart that will allow users to buy goods directly within the chat window.

As people start relying on chatbots to discover new products, retailers are having to rethink their approach to online marketing. For decades, companies tried to game Google’s search results by using strategies known collectively as search engine optimization, or SEO. Now, in order to get noticed by AI bots, more brands are turning to “generative engine optimization,” or GEO. The cottage industry is expected to be worth nearly $850 million this year, according to one market research estimate.

GEO, in many ways, is less a new invention than the next phase of SEO. Many GEO consultants, in fact, came from the world of SEO. At least some of their old strategies likely still apply since the core goal remains the same: anticipate the questions people will ask and make sure your content appears in the answers. But there’s also growing evidence that chatbots are surfacing different kinds of information than search engines.

Imri Marcus, chief executive of the GEO firm Brandlight, estimates that there used to be about a 70 percent overlap between the top Google links and the sources cited by AI tools. Now, he says, that correlation has fallen below 20 percent.

Search engines often favor wordiness—think of the long blog posts that appear above recipes on cooking websites. But Marcus says that chatbots tend to favor information presented in simple, structured formats, like bulleted lists and FAQ pages. “An FAQ can answer a hundred different questions instead of one article that just says how great your entire brand is,” he says. “You essentially give a hundred different options for the AI engines to choose.”

The things people ask chatbots are often highly specific, so it’s helpful for companies to publish extremely granular information. “No one goes to ChatGPT and asks, ‘Is General Motors a good company?’” says Marcus. Instead, they ask if the Chevy Silverado or the Chevy Blazer has a longer driving range. “Writing more specific content actually will drive much better results because the questions are way more specific.”

These insights are helping to refine the marketing strategies of Brandlight’s clients, which include LG, Estée Lauder, and Aetna. “Models consume things differently,” says Brian Franz, chief technology, data and analytics officer at Estée Lauder Companies. “We want to make sure the product information, the authoritative sources that we use, are all the things that are feeding the model.” Asked whether he would ever consider partnering with OpenAI to let people shop Estée Lauder products within the chat window, Franz doesn’t hesitate. “Absolutely,” he says.

At least for the time being, brands are mostly worried about consumer awareness, rather than directly converting chatbot mentions into sales. It’s about making sure when people ask ChatGPT „What should I put on my skin after a sunburn?“ their product pops up, even if it’s unlikely anyone will immediately click and buy it. “Right now, in this really early learning stage where it feels like it’s almost going to explode, I don’t think we want to look at the ROI of a particular piece of content we created,” Franz says.

To create all of this new AI-optimized content, companies are, of course, turning to AI itself. “At the beginning, people speculated that AI engines will not be training on AI content,” Marcus says. “That’s not really the case.”

Source: https://www.wired.com/story/goodbye-seo-hello-geo-brandlight-openai/

Everything You Need to Know About MVNOs and Prepaid Phone Plans (US)

There are hundreds of prepaid phone plans, but they all borrow from the same few mobile networks. Here’s what you need to know when shopping for cell service in the US.

Prepaid phone plans are for more than just setting up a burner phone. Instead of getting locked into a contract and indefinitely paying for a phone you may never actually own, prepaid phone plans promise lower prices while delivering the same coverage and speed as the major networks like AT&T, T-Mobile, and Verizon. What’s not to love?

Although prepaid phones sometimes get a bad rap, they make a lot of sense for some customers, particularly if you’re partial to buying unlocked phones and owning them outright. By cutting out contracts that stipulate several lines, financing on phones like the iPhone 17 that can climb well over $1,000, and extras you may not need, like mobile hot spot coverage, prepaid phone services end up much cheaper than major carriers without big performance losses. Still, they aren’t made equally. Most prepaid phone providers tap into an existing cellular network, but they have different limitations on how much access you have to that network. Here’s everything you need to know.

What Are Mobile Virtual Network Operators?

Prepaid Phone Plans Everything You Need to Know About MVNOs

Prepaid phone plans used to be easy to sort out, but after decades of mergers and acquisitions, the lines have gotten a little messy. The best place to start is the difference between mobile virtual network operators (MVNOs) and mobile network operators (MNOs). MNOs own and operate a mobile network, and they include T-Mobile, AT&T, and Verizon. MVNOs use an existing network. For example, Cricket Wireless uses AT&T’s network, while Google Fi relies on T-Mobile.

The lines between MNOs and MVNOs have blurred in recent years. Previously independent MVNOs like TracFone have been gobbled up by larger carriers (in this case, Verizon). Other brands used to operate mobile networks but now serve as MVNOs. A good example of that is MetroPCS, which merged with T-Mobile in 2012 and eventually became Metro by T-Mobile in 2018.

With how intertwined MVNOs and MNOs are these days, it’s hard to separate them based purely on infrastructure. The more important distinction is whether your phone plan is prepaid or postpaid: With a prepaid plan, you pay for your data and time up front. With a postpaid plan, you’re billed for the data you’ve used after you’ve already used it.

Beyond when you pay, there are a few other aspects that separate MVNOs from traditional MNOs:

  • Unlocked phones. The idea of a “carrier-locked” phone doesn’t exist with MVNOs. You’ll need an unlocked phone to use with an MVNO.
  • Bring your own phone. MVNOs generally don’t force you to lease (or finance) a phone as part of your service, bringing down the price. Ideally, you’ll buy a phone outright and bring it to an MVNO.
  • No contracts. Because MVNOs are prepaid, you don’t have to sign a contract. You pay for your service upfront.
  • Lower prices. MVNOs are almost universally less expensive than a major carrier. Some of the reasons are obvious, like the fact that you need to buy a phone outright, but others are hidden away, such as congestion speeds (more on that later). Regardless, you’ll spend less with an MVNO in almost every case.

Those are the broad differences, but you’ll find smaller distinctions within MVNOs themselves. For instance, Tello Mobile is what you’d call a “full MVNO,” managing everything from marketing to billing and customer service. Boost by T-Mobile is a lighter MVNO, where aspects of service like support are more closely tied to a major carrier (in this case, T-Mobile).

Downsides of MVNOs and Prepaid Mobile Plans

Prepaid Phone Plans Everything You Need to Know About MVNOs

It’d be great if prepaid MVNOs were cheaper than major carriers without any downsides, but that’s not the case. For MVNOs, the devil’s in the details. MVNOs are treated somewhat as second-class citizens on the network, at least when push comes to shove. That means you might experience slower or even throttled speeds in some cases.

MVNOs aren’t forthcoming about these limitations, but you can find them spelled out in policy documentation. Let’s look at Mint Mobile’s network management policy as an example.

The first hurdle is deprioritization. “Other brands may be prioritized higher on the T-Mobile network,” reads Mint’s network management policy. “For all Service plans, T-Mobile may also reduce speeds during times of network congestion.” These policies aren’t clear about how severe the slowdown is, but generally, if a network has a lot of congestion, MVNOs will see slower speeds before those on major carriers.

In most parts of the country, this isn’t a problem. However, you’ll likely experience slower speeds in major cities and at large events. If you’re at a concert and everyone is trying to post Instagram stories and TikToks, you’ll probably notice a significant slowdown.

Another downside with most MVNOs is throttling. You’ll be able to purchase an “unlimited” data plan, but there are usually soft caps to the amount of data you can use before speeds slow. Again using Mint as an example, it classifies “heavy data users” as those who use more than 35 GB of data in a month, and it says these users will “have their data usage prioritized below the data usage (including tethering) of other customers at times and at locations where there are competing customer demands for network resources, which may result in slower data speeds.”

Those are the two big drawbacks, but some smaller limitations pop up depending on the provider you look at. Mint, for instance, uses “video optimization,” which basically means video streams are capped at standard definition when using mobile data (480p). This happens automatically on the network, even if you’re trying to stream a higher resolution.

I’m using Mint as a touchstone here, but these practices are common among most MVNOs. Cricket has similar data restrictions and video limitations as does Optimum Mobile. Major carriers that have direct prepaid plans, like T-Mobile, generally have higher data limits before reducing speeds.

Outside of those limitations, some MVNOs don’t offer additional cellular features like roaming or a mobile hot spot. Those limitations aren’t universal, but they’re some good things to look out for when you’re looking at providers and plans.

Can You Use the Same Number With a Prepaid Mobile Plan?

The US Federal Communications Commission (FCC) determined decades ago that phone providers don’t own phone numbers. Broadly, you’re allowed to keep your number when transferring to a new carrier, regardless of whether that’s a prepaid or postpaid carrier. In fact, since 2009, the FCC requires carriers to transfer—or, more properly, “port”—your number within one business day.

Under the FCC’s rules, a carrier can’t deny porting your number, even if you refuse to pay a porting fee. However, porting fees are allowed. Some carriers, such as T-Mobile, don’t have any fees for porting your number. Others charge anywhere from a few dollars to $20.

There are situations where you can’t port your number—for instance, if you’re moving to a different region. Most MVNOs allow you to check if you can bring your own number over. Visible by Verizon, for example, features a portability checker on its website, along with a detailed guide on transferring your number.

Is T-Mobile an MVNO?

T-Mobile is a mobile network operator, or MNO, so it wouldn’t fall under the category of an MVNO. However, T-Mobile owns several MVNOs, including Metro by T-Mobile and Mint Mobile.

Do Prepaid Phone Plans Need a Credit Check?

You generally don’t need a credit check with prepaid phone plans. Virtual carriers like Metro by T-Mobile use prepaid service instead of postpaid service. You pay for your calls, texts, and data up front, while traditional carriers use a postpaid model where you’re billed at the end of your billing cycle.

Although prepaid phone services don’t need a credit check for the service itself, you may need a credit check if you want to finance or lease a phone. Many prepaid phone services allow you to bring your own device if you’re unable to finance or lease a new phone.

Can I Bring My Own Phone to an MVNO?

Nearly all MVNOs allow you to bring your own phone. That’s one of the big advantages of using an MVNO over a major carrier, in fact. You’ll need an unlocked phone, however.

T-Mobile, Verizon, and AT&T all allow you to unlock devices that are locked to their networks, with some stipulations. For instance, Verizon keeps your device locked for 60 days from the purchase date. Regardless of the particular policy, you’ll need to own the device outright before you can unlock it.

MVNOs and the Networks They Use

There are a ton of MVNOs, and I don’t use “a ton” lightly. There are dozens and dozens of prepaid providers, absolutely, but also smaller, niche MVNOs. For instance, Secure Phone is an MVNO largely focused on selling its own GPS-tracking phone and app; the cellular service isn’t the main draw. There are also plenty of MVNOs that aren’t really around anymore. GoSmart Mobile, for example, still allows you to sign up for a plan on its website, but it doesn’t offer anything beyond 3G speeds. I’ve excluded those providers.

Here’s a list of MVNOs mainly focused on providing prepaid cellular service, separated by network. Most MVNOs only use a single network, but some tap into multiple networks. You’ll see those names listed multiple times. I haven’t included providers that use other networks for roaming. Boost Mobile, for example, uses its own network, but it taps into the T-Mobile and Verizon networks when roaming.

MVNOs on the T-Mobile Network

  • Astound Mobile
  • boom! Mobile
  • Flex Mobile
  • Fliggs Mobile
  • Gen Mobile
  • Google Fi
  • Helium Mobile
  • Infimobile
  • Jethro Mobile
  • Kroger Wireless
  • Metro by T-Mobile
  • Mint Mobile
  • Mobi
  • Noble Mobile
  • Optimum Mobile
  • Patriot Mobile
  • RedPocket Mobile
  • SpeedTalk Mobile
  • Tello Mobile
  • Teltik
  • Ting Mobile
  • Ultra Mobile
  • US Mobile

MVNOs on the Verizon Network

  • Affinity Cellular
  • boom! Mobile
  • Cox Mobile
  • Credo Mobile
  • Infimobile
  • MobileX
  • Page Plus Cellular
  • Patriot Mobile
  • RedPocket Mobile
  • Simple Mobile
  • Spectrum Mobile
  • Straight Talk Wireless
  • Ting Mobile
  • Total Wireless
  • TracFone
  • US Mobile
  • Visible by Verizon
  • Walmart Family Mobile
  • Xfinity Mobile

MVNOs on the AT&T Network

  • AirVoice Wireless
  • Consumer Cellular
  • Cricket Wireless
  • H2O Wireless
  • Klarna Mobile
  • Patriot Mobile
  • PureTalk
  • RedPocket Mobile
  • Ting Mobile
  • Unreal Mobile
  • US Mobile

Be Picky With Prepaid Plans

There’s nothing wrong with a prepaid phone, especially today. Although prepaid plans sprang up as an alternative for customers who couldn’t pass the credit checks to lease or finance a phone, that’s not the case today. There are budget phones that carriers will (almost literally) give away for free, and most carriers own a handful of prepaid services for customers who don’t want a contract.

You should be careful when browsing MVNOs, though. It takes little more than some startup money, a graphic designer, and a bit of promotion to spin up an MVNO—just look at Trump Mobile. MVNOs are all using existing infrastructure, so performance actually isn’t as important as it seems. It’s more important to pay attention to the limitations of service and customer service. That’s what MVNOs provide.

Source: https://www.wired.com/story/prepaid-phone-plans-and-mvnos/