Tech
Google is training its AI tools on YouTube videos: These creators aren’t happy
Santa Ana, California-based entrepreneur Charlie Chang spent years posting finance videos on YouTube before he made a profit.
Today, Chang’s media business oversees more than 50 YouTube channels, along with other digital sites, and generates $3 million to $4 million in annual revenue, he said.
But lately, he’s been faced with a new concern: that YouTube’s moves in artificial intelligence will eat into his business.
“The fear is there, and I’m still building the channels, but I am preparing, just in case my channels become irrelevant,” Chang, 33, said. “I don’t know if I’m gonna be building YouTube channels forever.”
YouTube’s parent company, Google, is using a subset of the platform’s videos to train AI applications, including its text-to-video tool Veo. That includes videos made by users who have built their livelihoods on the service, helping turn it into the biggest streaming entertainment provider in the U.S.
The move has sparked deep tensions between the world’s biggest online video company and some of the creators who helped make it a behemoth. Google, creators say, is using their data to train something that could become their biggest competitor.
The schism comes at a pivotal time for Google, which is in a race with rivals including Meta, OpenAI and Runway for dominance in the market for AI-driven video programs. Google has an advantage due to YouTube’s huge video library, with more than 20 billion videos uploaded to its platform as of April.
Many creators worry such tools could make it easier for other people to replicate the style of their videos, by typing in text prompts that could produce images or concepts similar to what popular creators produce. What if AI-generated videos became more popular than their material? Creators say they can’t opt out of AI training and that Google does not compensate them for using videos for such purposes.
“It makes me sad, because I was a big part of this whole creator economy, and now, it’s literally being dismantled by the company that built it,” said Kathleen Grace, a former YouTube employee who is now chief strategy officer at Vermillio, a Chicago-based company that tracks people’s digital likenesses and intellectual property.
“I think they should be with pitchforks outside San Bruno.”
YouTube, founded in 2005, was built on creators posting content. At first, the user-generated videos were amateurish. But eventually, creators got more sophisticated and professional, doing more elaborate stunts and hiring staff to support their productions.
Key to YouTube’s early success was its investment in its video creators. The San Bruno, California-based company shares ad revenue with its creators, which can be huge. That business model has kept creators loyal to YouTube. As they grew their audiences, that in turn increased advertising revenue for both YouTube and creators.
Video creators are typically not employees of YouTube or Google. Many are independents who have built businesses by posting content, making money through ads, brand deals and merchandise.
The creator economy is a bright spot amid struggles in the entertainment industry. Last year, there were more than 490,000 jobs supported by YouTube’s creative ecosystem in the U.S., according to YouTube, citing data from Oxford Economics. YouTube has a greater share of U.S. TV viewership than Netflix and the combined channels of Walt Disney Co., according to Nielsen.
YouTube said it has paid more than $70 billion to creators, artists and media companies from 2021 to 2023.
The company has encouraged creators and filmmakers to use Google’s AI tools to help with brainstorming and creating videos, which could make them faster and more efficient. Some creators said they use AI to help hash out concepts, cut down on production costs and showcase bold ideas.
YouTube is also developing tools that will help identify and manage AI-generated content featuring creators’ likeness. Additionally, it made changes to its privacy policy for people to request removal of AI-generated content that simulates them on the platform, said company spokesman Jack Malon.
“YouTube only succeeds when creators do,” Malon said in a statement. “That partnership, which has delivered billions to the creator economy, is driven by continuous innovation—from the systems that power our recommendations to new AI tools. We’ve always used YouTube data to make these systems better, and we remain committed to building technology that expands opportunity, while leading the industry with safeguards against the misuse of AI.”
But already, creators say they are facing challenges from other people who are using AI to re-create their channels, cutting into their revenue and brand recognition.
“They’re training on things that we, the creators, are creating, but we’re not getting anything in return for the help that we are providing,” said Cory Williams, 44-year-old Oklahoma-based creator of Silly Crocodile, a popular animated character on YouTube.
In other cases, people are using AI to make deepfake versions of creators and falsely posing as them to message fans, said Vermillio’s Grace.
When people upload videos to YouTube, they agree to the company’s terms of service, which grants a royalty-free license to YouTube’s business and its affiliates.
But many creators said they were not aware YouTube videos were used to train Veo until they read about it in media reports. Melissa Hunter, chief executive of Family Video Network, a consulting firm for family-focused creators, said tools like Veo didn’t exist when she signed YouTube’s terms of service years ago.
Back in 2012, Hunter’s son (then 8 years old) wanted to start a YouTube channel together. Her son, now 22, is against AI for environmental reasons, so Hunter made those videos private. But Hunter said Google can still see those videos, and she’s concerned they were used to train Veo without her permission.
“It’s frustrating, and I don’t like it, but I also feel totally helpless to do anything,” Hunter said.
While there are other social media platforms such as TikTok and Instagram that also support content creators, YouTubers say they have already built large audiences on Google’s platform and are reluctant to leave.
“Creators are in a tough spot where this is the best platform to make money … to build real loyal fans,” said Jake Tran, 27, who makes documentary YouTube videos on money, power, war and crime. “So are you going to give up just because Google is using it to train their AI?”
Last year, Tran’s YouTube business made around $1 million in revenue. Tran is also founder of the Scottsdale, Arizona-based skin-care business, Evil Goods, and together, his businesses employ 40 to 45 part-time and full-time workers.
Other AI companies, including Meta and OpenAI, have come under fire by copyright holders who have accused them of training AI models on their intellectual property. Disney and Universal Pictures sued AI business Midjourney in June for copyright infringement.
Tech industry executives have said that they should be able to train AI models with content available online under the “fair use” doctrine, which allows for the limited reproduction of material without permission from the copyright holder.
Some legal experts think creators might have a case if they decided to take their issue to court.
“There’s room to argue that simply by agreeing to the terms of service, they have not granted a license to YouTube or Google for AI training purposes, so that might be something that could be argued in the lawsuit,” said Mark Lezama, a partner at law firm Knobbe Martens. “There’s room to argue on both sides.”
Eugene Lee, CEO of ChannelMeter, a data and payments company for the creator economy, said he believes the only way creators can win is by using AI, not by fighting against it.
“Creators should absolutely embrace it and embrace it early, and embrace it as part of their production process, script generators, thumbnail generators—all these things that will require human labor to do in a massive amount of time and resources and capital,” Lee said.
Nate O’Brien, a Philadelphia creator who oversees YouTube channels about finance, estimates that his revenue will be flat or decline slightly, in part because it’ll be more challenging to get noticed on YouTube.
“It’s just a numbers game there,” O’Brien said. “But I think generally a person making a video would still perform better or rank better than an AI video right now. In a few more years, it might change.”
To prepare for the growth of AI content, O’Brien has been experimenting with using AI for videos on one of his channels, asking his assistant to take a script based on an existing video he made on a different channel and using AI to voice it. While the views have not outpaced the human-created videos, the AI-generated videos are lower in production cost. One garnered 5,000 views, 27-year-old O’Brien said.
Some creators have opted to share their video libraries with outside AI companies in exchange for compensation. For example, Salt Lake City YouTube creator Aaron de Azevedo, who oversees 20 YouTube channels, said he shared 30 terabytes of video footage in a deal with an AI company for roughly $9,000.
“There’s a good chunk of change,” De Azevedo, 40, said. “It was good, paid for most of my wedding.”
2025 Los Angeles Times. Distributed by Tribune Content Agency, LLC.
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Tech
Managing traffic in space
Chances are, you’ve already used a satellite today. Satellites make it possible for us to stream our favorite shows, call and text a friend, check weather and navigation apps, and make an online purchase. Satellites also monitor the Earth’s climate, the extent of agricultural crops, wildlife habitats, and impacts from natural disasters.
As we’ve found more uses for them, satellites have exploded in number. Today, there are more than 10,000 satellites operating in low-Earth orbit. Another 5,000 decommissioned satellites drift through this region, along with over 100 million pieces of debris comprising everything from spent rocket stages to flecks of spacecraft paint.
For MIT’s Richard Linares, the rapid ballooning of satellites raises pressing questions: How can we safely manage traffic and growing congestion in space? And at what point will we reach orbital capacity, where adding more satellites is not sustainable, and may in fact compromise spacecraft and the services that we rely on?
“It is a judgement that society has to make, of what value do we derive from launching more satellites,” says Linares, who recently received tenure as an associate professor in MIT’s Department of Aeronautics and Astronautics (AeroAstro). “One of the things we try to do is approach these questions of traffic management and orbital capacity as engineering problems.”
Linares leads the MIT Astrodynamics, Space Robotics, and Controls Lab (ARCLab), a research group that applies astrodynamics (the motion and trajectory of orbiting objects) to help track and manage the millions of objects in orbit around the Earth. The group also develops tools to predict how space traffic and debris will change as operators launch large satellite “mega-constellations” into space.
He is also exploring the effects of space weather on satellites, as well as how climate change on Earth may limit the number of satellites that can safely orbit in space. And, anticipating that satellites will have to be smarter and faster to navigate a more cluttered environment, Linares is looking into artificial intelligence to help satellites autonomously learn and reason to adapt to changing conditions and fix issues onboard.
“Our research is pretty diverse,” Linares says. “But overall, we want to enable all these economic opportunities that satellites give us. And we are figuring out engineering solutions to make that possible.”
Grounding practical problems
Linares was born and raised in Yonkers, New York. His parents both worked as school bus drivers to support their children, Linares being the youngest of six. He was an active kid and loved sports, playing football throughout high school.
“Sports was a way to stay focused and organized, and to develop a work ethic,” Linares says. “It taught me to work hard.”
When applying for colleges, rather than aim for Division I schools like some of his teammates, Linares looked for programs that were strong in science, specifically in aerospace. Growing up, he was fascinated with Carl Sagan’s “Cosmos” docuseries. And being close to Manhattan, he took regular trips to the Hayden Planetarium to take in the center’s immersive projections of space and the technologies used to explore it.
“My interest in science came from the universe and trying to understand our place within it,” Linares recalls.
Choosing to stay close to home, he applied to in-state schools with strong aeronautical engineering departments, and happily landed at the State University of New York at Buffalo (SUNY Buffalo), where he would ultimately earn his bachelor’s, master’s, and doctoral degrees, all in aerospace engineering.
As an undergraduate, Linares took on a research project in astrodynamics, looking to solve the problem of how to determine the relative orientation of satellites flying in formation.
“Formation flying was a big topic in the early 2000s,” Linares says. “I liked the flavor of the math involved, which allowed me to go a layer deeper toward a solution.”
He worked out the math to show that when three satellites fly together, they essentially form a triangle, the angles of which can be calculated to determine where each satellite is in relation to the other two at any moment in time. His work introduced a new controls approach to enable satellites to fly safely together. The research had direct applications for the U.S. Air Force, which helped to sponsor the work.
As he expanded the research into a master’s thesis, Linares also took opportunities to work directly with the Air Force on issues of satellite tracking and orientation. He served two internships with the U.S. Air Force Research Lab, one at Kirtland Air Force Base in Albuquerque, New Mexico, and the other in Maui, Hawaii.
“Being able to collaborate with the Air Force back then kind of grounded the research in practical problems,” Linares says.
For his PhD, he turned to another practical problem of “uncorrelated tracks.” At the time, the Air Force operated a network of telescopes to observe more than 20,000 objects in space, which they were working to label and record in a catalog to help them track the objects over time. But while detecting objects was relatively straightforward, the challenge came in correlating a detected object with what was already in the catalog. In other words, is what they were seeing something they had already seen?
Linares developed image analysis techniques to identify key characteristics of objects such as their shape and orientation, which helped the Air Force “fingerprint” satellites and pieces of space debris, and track their activity — and potential for collisions — over time.
After completing his PhD, Linares worked as a postdoc at Los Alamos National Laboratory and the U.S. Naval Observatory. During that time he expanded his aerospace work to other areas including space weather, using satellite measurements to model how Earth’s ionosphere — the upper layer of the atmosphere that is ionized by the sun’s radiation — affects satellite drag.
He then accepted a position as assistant professor of aerospace engineering at the University of Minnesota at Minneapolis. For the next three years, he continued his research in modeling space weather, tracking space objects and coordinating satellites to fly in swarms.
Making space
In 2018, Linares made the move to MIT.
“I had a lot of respect for the people and for the history of the work that was done here,” says Linares, who was especially inspired by the legendary Charles Stark “Doc” Draper, who developed the first inertial guidance systems in the 1940s that would enable the self-navigation of airplanes, submarines, satellites, and spacecraft for decades to come. “This was essentially my field, and I knew MIT was the best place to continue my career.”
As a junior faculty member in AeroAstro, Linares spent his first years focused on an emerging challenge: space sustainability. Around that time, the first satellite constellations were launching into low-Earth orbit with SpaceX’s Starlink, which aimed to provide global internet coverage via a huge network of several thousand coordinating satellites. The launching of so many satellites, into orbits that already held other active and nonactive satellites, along with millions of pieces of space debris, raised questions about how to safely manage the satellite traffic and how much traffic an orbit can sustain.
“At what level do we reach a tipping point, where we have too many satellites in certain orbital regimes?” Linares says. “It was kind of a known problem at the time, but there weren’t many solutions.”
Linares’ group applied an understanding of astrodynamics, and the physics of how objects move in space, to figure out the best way to pack satellites in orbital “shells,” or lanes that would most likely prevent collisions. They also developed a state-of-the-art model of orbital traffic, that was able to simulate the trajectories of more than 10 million individual objects in space. Previous models were much more limited in the number of objects they could accurately simulate. Linares’ open-source model, called the MIT Orbital Capacity Assessment Tool, or MoCAT, could account for the millions of pieces of space debris, in addition to the many intact satellites in orbit.
The tools that his group has developed are used today by satellite operators to plan and predict safe spacecraft trajectories. His team is continuing to work on problems of space traffic management and orbital capacity. They are also branching out into space robotics. The team is testing ways to teleoperate a humanoid robot, which could potentially help to build future infrastructure and carry out long-duration tasks in space.
Linares is also exploring artificial intelligence, including ways that a satellite can autonomously “learn” from its experience and safely adapt to uncertain environments.
“Imagine if each satellite had a virtual Doc Draper onboard that could do the de-bugging that we did from the ground during the Apollo missions,” Linares says. “That way, satellites would become instantaneously more robust. And it’s not taking the human out of the equation. It’s allowing the human to be amplified. I think that’s within reach.”
Tech
Meta Glasses Are Comfortable, Functional, and Make My Spouse Recoil in Fear
Every time I’ve written about Meta’s AI-enabled glasses, I invariably get asked these questions: Why do you even want these? Why do you want smart glasses that can play music or misidentify native flora in a weirdly cheery voice? I am a lifelong Ray-Ban Wayfarer wearer, and I’m also WIRED’s resident Meta wearer. I grab a pair of Meta glasses whenever I leave the house because I like being able to use one device instead of two or three on a walk. With Meta glasses, I can wear sunglasses and workout headphones in one!
Meta sold more than 7 million pairs in 2025. Take a look at any major outdoor or sporting event, and you’ll see more than a few people wearing these to record snippets for Instagram or TikTok. Meta’s partnership with EssilorLuxottica has made smart glasses accessible, stylish, and useful and is undoubtedly the reason why Google, and now Apple, are trying to horn in on the market. After the notable flop that is the Apple Vision Pro, Apple is recalibrating its face-wearable strategy, moving away from augmented reality (AR) toward simpler, display-less, and hopefully good-looking glasses.
That’s not to say that you shouldn’t be careful how you use these glasses. Meta doesn’t have the greatest track record on privacy, and the company has continued to push forward with policies that are questionable at best. Even if you’re not concerned that face recognition will allow Meta to target immigrants or enable stalkers to find their victims, at the very least, people really do not like the idea that you could start recording them at any moment.
Probably the biggest hurdle to wearing Meta glasses is that even doing so seems like a gross violation of the social contract. After all, these are Mark Zuckerberg’s “pervert glasses.” When I pop these on my head, I’ve had friends (and my spouse) recoil and say, “I have apps to warn me away from people like you.” The best part, though, is that Oakley and Ray-Ban already make really great sunglasses. Even if the battery runs out or you don’t use Meta AI at all, these are stellar at shading your eyes from the sun.
Anyway, if you decide to try them, here’s what you should get. If you do chicken out, check out our buying guides to the Best Smart Glasses or the Best Workout Headphones for more.
Table of Contents
Best Overall
Last year, Meta upgraded the original Meta Ray-Ban Wayfarers that became a smash hit. These are Meta’s entry-level glasses, and they come in a variety of lens styles. You can order them with clear lenses, prescription lenses, transition lenses, or the OG sunglass lenses, as well as in a variety of fits, including standard, large, or high-bridge frames. Improvements to this generation include an upgrade to a 12-MP camera and up to eight hours of battery life; writer Boone Ashworth’s testing clocked in at five to six hours.
Tech
The Smart Home Gadgets to Amp Up Your Curb Appeal
I tried the battery version, which does require you recharge it every couple of weeks, but the wired-in version is the top recommendation on our guide to the Best Video Doorbells.
A Better Birdhouse
I had a new-to-me problem this spring: bird invasion. A little bird made a nest in my front-door wreath without us noticing. One evening, my sister opened the door, and the bird flew out of the nest and straight into our house. After a 30-minute battle to get it outside again (and keep my cat from eating it), it wasn’t until we saw the bird fly off the door again the next day that we realized it was calling our home its home, too.
If this is a common problem at your house, our resident bird-gear tester Kat Merck has a solution: a smart nesting box. Birdfy makes a few different smart bird feeders we like for bird-watching, and the Nest Duo is a birdhouse that lets you watch the birds while they nest inside of it. It’s a slim, attractive box that will add to your front yard’s style while also packing two solar-powered cameras (one facing the entrance, one focused inside) so you can bird-watch from multiple angles. It comes with different hole sizes to appeal to different species, metal predator guards to prevent chewing around the hole, and a remote control to reset or recharge the camera without disturbing your feathered neighbors.
Stylish Smart Lights
I’ve liked Govee’s smart outdoor string lights before, usually for my holiday decor, and have previously recommended something similar with a bistro-light-like look that happened to be smart. These clear bulb string lights are part of Govee’s current lineup and have a contemporary twist with a triangle in the center instead of the wire filament. These are a fun option for outdoor lights you can enjoy on warm nights, and they can do every color and shade of white without looking as bulky as permanent outdoor lights. (Added bonus, these lights are also Matter compatible!)
Fresh Bulbs
If you have light fixtures you want to remote-control, add an outdoor smart bulb. There are tons to choose from, and you can usually find one from any brand you already have at home. The only downside is that outdoor-rated smart bulbs are usually 4.75-inch-diameter PAR38-style bulbs, so they’re best for downward-facing floodlights on your porch or balcony. They’ll likely be too big to fit in a wall fixture as a replacement for a normal-sized bulb. Don’t just grab any smart bulb—not all are outdoor-rated. Check for mentions of outdoor use and waterproof ratings to make sure they’re safe to use. I’m a big fan of Cync bulbs, and the brand has an outdoor version of the Cync Full Color bulbs I like to use indoors. You’ll be able to add fun colors as well as shades of white, so you can turn the porch a spooky orange or red for Halloween, pink for Valentine’s Day, or the colors of your favorite sports team on game day.
Remote-Controlled Garage
If your garage is the centerpiece of your home’s curb appeal, you can control it as easily as a smart door by adding a smart controller. You can do two different styles: I have the Chamberlain MyQ professionally installed smart garage opener, which means the device that controls my garage has these smarts built into it (plus a camera, but I find it doesn’t work great with how far the device is from my Wi-Fi router), or you can get a smart garage controller that can add smart features onto an existing garage door. Both let you check whether the garage is open or closed and operate it remotely, and you can add a video keypad that doubles as a video doorbell and can let you open or close the garage without your phone.
Smart Shades
The front of my home faces west, so it’s absolutely baking at the end of the day. What I need to add are some of our favorite smart shades to automate closing the shades on that side of the house at the right time of day. These also give your home a nice, cohesive look and immediate, controllable privacy from the outside world. WIRED reviewer Simon Hill recommends the SmartWings shades as his top picks, and Lutron’s Caseta shades if you’re looking for a more upgraded look.
Invisible Swaps
Looking to add some smarts without touching your existing setup? These switch-ups can make your front door and yard smart without being visible.
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