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AI Is Eliminating Jobs for Younger Workers

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AI Is Eliminating Jobs for Younger Workers


Economists at Stanford University have found the strongest evidence yet that artificial intelligence is starting to eliminate certain jobs. But the story isn’t that simple: While younger workers are being replaced by AI in some industries, more experienced workers are seeing new opportunities emerge.

Erik Brynjolfsson, a professor at Stanford University, Ruyu Chen, a research scientist, and Bharat Chandar, a postgraduate student, examined data from ADP, the largest payroll provider in the US, from late 2022, when ChatGPT debuted, to mid-2025.

The researchers discovered several strong signals in the data—most notably that the adoption of generative AI coincided with a decrease in job opportunities for younger workers in sectors previously identified as particularly vulnerable to AI-powered automation (think customer service and software development). In these industries, they found a 16 percent decline in employment for workers aged 22 to 25.

The new study reveals a nuanced picture of AI’s impact on labor. While advances in artificial intelligence have often been accompanied by dire predictions about jobs being eliminated—there hasn’t been much data to back it up. Relative unemployment for young graduates, for instance, began dropping around 2009, well before the current AI wave. And areas that might seem vulnerable to AI, such as translation, have actually seen an increase in jobs in recent years.

“It’s always hard to know [what’s happening] if you’re only looking at a particular company or hearing anecdotes,” Brynjolfsson says. “So we wanted to look at it much more systematically.”

By combing through payroll data, the Stanford team found that AI’s impact has more to do with a worker’s experience and expertise than the type of work they do. More experienced employees in industries where generative AI is being adopted were insulated from job displacement, with opportunities either remaining flat or slightly growing. The finding backs up what some software developers previously told me about AI’s impact on their industry—namely that rote, repetitive work, like writing code to connect to an API, has become easier to automate. The Stanford study also indicates that AI is eliminating jobs but not lowering wages, at least so far.

The researchers considered potentially confounding factors including the Covid pandemic, the rise of remote work, and recent tech sector layoffs. They found that AI has an impact even when accounting for these factors.

Brynjolfsson says the study offers a lesson on how to maximize the benefits of AI across the economy. He has long suggested that the government could change the tax system so that it does not reward companies that replace labor with automation. He also suggests AI companies develop systems that prioritize human-machine collaboration.

Brynjolfsson and another Stanford scientist, Andrew Haupt, argued in a paper in June that AI companies should develop new “centaur” AI benchmarks that measure human-AI collaboration, to incentivize more focus on augmentation rather than automation. “I think there’s still a lot of tasks where humans and machines can outperform [AI on its own],” Brynjolfsson says.

Some experts believe that more collaboration between humans and AI could be a feature of the future labor market. Matt Beane, an associate professor at UC Santa Barbara who studies AI-driven automation, says he expects the AI boom to create demand for augmentable work—as managing the output of AI becomes increasingly important. “We’ll automate as much as we can,” Beane says. “But that doesn’t mean there won’t be a growing mountain of augmentable work left for humans.”

AI is advancing quickly though, and Brynjolfsson warns that the impact on younger workers could spread to those with more experience. “What we need to do is create a dashboard early-warning system to help us track this in real time,” he says. “This is a very consequential technology.”


This is an edition of Will Knight’s AI Lab newsletter. Read previous newsletters here.



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A Humanoid Robot Set a Half-Marathon Record in China

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A Humanoid Robot Set a Half-Marathon Record in China


Over the weekend in China, a humanoid robot shattered world half-marathon record—the human record—by seven minutes.

The star performer was a robot developed by the Chinese company Honor (the smartphone maker), which finished the 13.1-mile race in 50 minutes, 26 seconds. The human record, set by Ugandan Olympic medalist Jacob Kiplimo, is 57 minutes, 20 seconds. The result marks an impressive milestone especially considering that, just a year earlier, the fastest robot at this half-marathon event took two and a half hours to complete the same distance.

But Honor’s robot was not the only participant. The event consisted of more than 100 humanoid robots from 76 institutions across China. The robots lined up alongside 12,000 human runners in Beijing’s E-Town, albeit on separate courses to avoid accidents. The contrast in performance between humans and robots was more than evident.

Run, Robot, Run

A humanoid robot is designed to mimic the structure and movement of the human body, with legs, arms, and sensors that allow it to interact with its environment. In this case, the winning robot incorporated features inspired by elite runners: long legs (almost a meter), advanced balance systems, and a liquid cooling mechanism, similar to that of smartphones, to prevent overheating during the race.

In addition, many of the participating robots operated autonomously, meaning without direct human control. Thanks to artificial intelligence algorithms, they could adjust their pace, maintain balance, and adapt to the terrain in real time. Notably, the Honor robot that achieved the 50-minute mark operated autonomously. The Chinese manufacturer presented another robot, operated by remote control, that ran the same stretch in even less time: 48 minutes, 19 seconds.

As expected, there were some accidents in the race. Some robots fell down, others veered off the path, and several needed technical assistance along the way. While the physical performance of humanoid robots has advanced rapidly, their reliability is still developing. Of course, the laughter and jeers are no longer as frequent as they used to be, replaced by applause and exclamations of surprise.

The winning robot, “Blitz,” from smartphone manufacturer Honor was on display at the awards ceremony after the Beijing E-Town Robot Half Marathon.

Photograph: Lintao Zhang/Getty Images

Robot Superiority

Just like the robots that went viral for their impressive martial arts display a few weeks ago, this long-distance race is part of a broader strategy by China to show off its leadership in the development of advanced robots.

You don’t need to be a robotics expert to see that this achievement demonstrates that machines can outperform humans at specific physical tasks under controlled conditions. (It’s hard to imagine that the winning robot could achieve the same result, for example, if it started to rain during the race.) But humans still have a few tricks up their sleeve: Running in a straight line is very different from performing complex real-world activities, such as manipulating delicate objects or interacting socially.

However, it’s understandable that the image of a robot crossing the finish line in record time, ahead of human athletes, raises several questions. Is this the beginning of a new era in which machines redefine physical limits?

One could argue that a car is a machine, and those have always been faster than humans. But a humanoid robot is designed to mimic humans. It’s more alarming to see one beat humanity at its own game—even if so many of them are still tripping over themselves.

This story originally appeared in WIRED en Español and has been translated from Spanish.





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War Memes Are Turning Conflict Into Content

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War Memes Are Turning Conflict Into Content


As ceasefire announcements between the US and Iran—and separately between Israel and Lebanon—dominated headlines over the past two weeks, they also prompted a look back at how war spread online: through memes.

There were jokes about conscription. Captions about getting drafted, but at least with a Bluetooth device. The song “Bazooka” went viral, with users lip-syncing to: “Rest in peace my granny, she got hit by a bazooka.” Military filters followed. So did posts about Americans wanting to be sent to Dubai “to save all the IG models.”

Across the Gulf, the tone was different but the instinct was the same. Memes joked that Iran was replying to Israel faster than the person you’re thinking about. Delivery drivers were shown “dodging missiles.” “Eid fits” became hazmat suits and tactical vests.

Dark humor is one of the oldest responses to fear, a way of reclaiming control, however briefly, over events that offer none. Variations of that idea appear across psychology and philosophy, including Freud’s relief theory, which frames humor as a release of tension.

But social media changes the scale and speed of that instinct.

A joke once shared within a small community can become a global template in minutes. Algorithms do not reward depth or accuracy; they reward engagement. The memes that travel fastest are usually stripped of context, easy to recognize and simple to remix.

Middle East scholar and media analyst Adel Iskandar traces political satire back centuries, from banned satirical papyri in ancient Egypt to cartoons during revolutions and gallows humor in modern wars. “Where there is hardship, there is satire,” he says. “Where there is loss of hope, there is hope in comedy.”

That tradition still exists online. But today it is fused with recommendation systems designed to keep attention moving.

Memes Spread Faster Than Facts

The word “meme” was coined by Richard Dawkins in his 1976 book The Selfish Gene, where he described how ideas replicate like genes. On today’s internet, replication follows platform logic.

Fitness means generality. A meme does not need to be accurate. It needs to feel familiar. It needs the right format, paired with trending audio and the right emotional shorthand.

“A meme is like a virus,” Iskandar says. “If it doesn’t travel, it’ll die.”

The most visible response online is not always the truest one. It is often just the easiest to spread. And once context disappears, one crisis can start to resemble any other.

Geography shapes humor too, and adds another level of tension. “If you live far away from the threat, you’re capable of producing content that ridicules it with an element of safety,” says Iskandar. “Whereas if you happen to be within close proximity, it is more of a fatalism.”

That divide matters. For some users, war exists mainly as mediated spectacle: clips, edits, graphics, headlines, and reaction posts. For others, it is sirens, uncertainty, disrupted flights, rising prices, and messages checking who is safe.

The same meme can function as entertainment in one country and emotional survival in another. Take the American experience of violence, which Sut Jhally, professor of communication at the University of Massachusetts Amherst, says “is very mediated.”

What much of the Western world has consumed instead is what cultural critic George Gerbner called “happy violence”: spectacular, consequence-free, and detached from the aftermath.

Jhally argues that the September 11 attacks remain the defining modern American experience of war-adjacent political violence. Much else has been cinematic: distant invasions, blockbuster destruction, video-game logic, apocalypse franchises.

The teenager from the Midwest joking about being drafted is drawing from zombie films and superhero apocalypses. “There is almost no discussion about what an actual Third World War would look like,” he says. “People do not have a perception of what that really looks like.”





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Hyundai’s New Ioniq 3 Has Hot-Hatch Looks, but Can It Beat BYD?

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Hyundai’s New Ioniq 3 Has Hot-Hatch Looks, but Can It Beat BYD?


Hyundai has unveiled its Ioniq 3, a fully electric compact hatchback for urban driving designed to be as aerodynamically efficient as possible yet still offer up a surprisingly spacious interior—a trick the carmaker is loftily calling Aero Hatch. The 3 is intended to fill the gap between Hyundai’s Inster supermini and Ioniq 5 crossover.

In profile, the Ioniq 3 has a sleek front end that transitions into a roofline that stays straight over both front and rear occupants before dropping to merge with the rear spoiler. It’s this roofline that maximizes interior headroom for the rear passengers, but it also offers a supposed class-leading drag coefficient of 0.263.

The Ioniq 3’s impressive aerodynamics will supposedly help it get more than 300 miles on a single charge.

Photograph: Courtesy of Hyundai

The car has the same underpinnings as its sibling brand, Kia’s EV2. Two battery options will deliver a projected WLTP distance of 344 km (around 214 miles) for the Standard Range Ioniq 3; the Long Range version is supposedly good for a competitive 308-mile range. Built on the group’s Electric-Global Modular Platform (E-GMP), the car has a 400-volt architecture to lower costs rather than the 800-volt system of the Ioniq 5 N, 6, or 9 SUV. Still, this means that if you can find sufficiently fast DC charging, you can, in theory, top up from 10 to 80 percent in approximately 29 minutes (AC charging capability is up to 22 kW).

This is fine, but it is not a match for BYD’s new Blade 2.0 battery tech that WIRED tried, astonishingly allowing the Denza Z9 GT to charge its battery in just over nine minutes from 10 percent. True, that battery tech was in a $100,000 “premium” EV, but it’s coming to BYD’s wider models. And if BYD makes good on its plans to deliver a charging network to rival Tesla’s Supercharger, then very soon buyers will be expecting comparable charge times, and 30 minutes will quickly feel awfully long.

I asked José Muñoz, Hyundai Motor Company president and CEO, whether this new battery technology from BYD concerns him, whether Hyundai—leading the EV pack with 800-volt architectures for so long—needs to match the Blade 2.0’s performance. “We welcome the challenge,” Muñoz tells me. “Every challenge is an opportunity to do better. And I can tell you that, lately, we have a lot of opportunities to do better.”

“We are also working on fast charging,” Muñoz says, adding that Hyundai’s success will be built on not merely one leading technology but many. “There are not more elements that may be offered by the Chinese that we can offer. It’s only a matter of how you mix them. A lot of times, you get stuck into one indicator. I’m an engineer. And we always have the example of the airplanes: What is more important in an airplane, altitude or speed? There is only one answer. You need to achieve both.”



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