Nvidia CEO Jensen Huang Weighs In on AI's Impact on Jobs and Innovation

Jensen Huang adds voice to those warning of AI-induced job losses - but only 'if the world runs out of ideas'

There is a wide belief that artificial intelligence (AI) has the potential to greatly increase productivity, which may also lead to widespread job displacement. This could happen sooner rather than later, if humanity loses its ability to innovate, indicated Jensen Huang, chief executive of Nvidia, in an interview with CNN. "If the world runs out of ideas, then productivity gains translates to job loss," said Jensen Huang in an interview with CNN's Fareed Zakaria. Huang had been asked about comments made by Dario Amodei, who suggested AI would cause mass employment disruptions. The Nvidia CEO's comments were in response to recent warnings from Dario Amodei, the head of AI firm Anthropic. Last month, Amodei told Axios that the rise of artificial intelligence might wipe out half of all entry-level office positions and push national unemployment as high as 20% within five years. Huang did not dispute the possibility, but said the outcome depends heavily on society's creative drive. Indeed, he might be right. A century ago, there were complaints about cars based on the internal combustion engine (ICE) leaving those involved in servicing horses unemployed. Years later, the horse guys were servicing ICE cars and earning much more. While we are speculating, the same could happen here. Industry surveys reflect these employment concerns. A 2024 study from Adecco Group found that 41% of corporate leaders expect AI to reduce staffing at thousands of firms over the next half-decade. Separately, a report released in January by the World Economic Forum (WEF) indicated that 41% of employers plan to shrink their teams by 2030 due to automation driven by AI. Surveys also show a shift in how work is performed. A 2024 joint survey by Duke University and Federal Reserve Banks of Atlanta and Richmond found that over half of large American firms intend to use AI to take over routine tasks like invoice processing and supplier payments. Huang said all occupations will feel the effects of AI in some form. While certain roles will disappear, he expects many others to be introduced, so the fears about dramatically high unemployment rates are unsubstantiated for now. The head of Nvidia noted that even his own role has evolved due to AI, though he remains active in it. He called AI the most accessible technology advancement yet, capable of helping even those with limited technical skills. Looking to the past, Huang pointed out that technological breakthroughs over the last several centuries -- including the computing era -- have historically resulted in both job creation and improved productivity. He argued that with the right ideas, technology can unlock entirely new areas of growth and benefit society as a whole. The CEO of Nvidia expressed hope that increased efficiency across industries will ultimately improve living standards, but he cautioned that this outcome is not guaranteed unless innovation continues. Nvidia, which briefly reached a $4 trillion market capitalization earlier this month, plays a central role in the ongoing AI boom as its data center GPUs are used for both AI training and inference by companies like Amazon Web Services, Google, and Microsoft.

The CEO of Nvidia Admits What Everybody Is Afraid of About AI

As the AI chipmaker rockets past a $4 trillion valuation, CEO Jensen Huang lays out a stunning vision of a future with robot assistants and revived American factories, but admits the transition won't be painless. This week, Nvidia became the first company in history to be worth $4 trillion. It’s a number so large it's almost meaningless, more than the entire economy of Germany or the United Kingdom. While Wall Street celebrates, the question for everyone else is simple: So what? The answer, according to Nvidia’s CEO Jensen Huang, is that this is not just about stock prices. It’s about a fundamental rewiring of our world. So why is this one company so important? In the simplest terms, Nvidia makes the "brains" for artificial intelligence. Their advanced chips, known as GPUs, are the engines that power everything from ChatGPT to the complex AI models being built by Google and Microsoft. In the global gold rush for AI, Nvidia is selling all the picks and shovels, and it has made them the most powerful company on the planet. In a wide ranging interview with CNN's Fareed Zakaria, Huang, the company's leather jacket clad founder, explained what this new era of AI, powered by his chips, will mean for ordinary people. Huang didn’t sugarcoat it. “Everybody’s jobs will be affected, “Everybody’s jobs will be affected. Some jobs will be lost," he said. Some will disappear. Others will be reborn. The hope, he said, is that AI will boost productivity so dramatically that society becomes richer overall, even if the disruption is painful along the way. He admitted the stakes are high. A recent World Economic Forum survey found that 41% of employers plan to reduce their workforce by 2030 because of AI. And inside Nvidia itself, Huang said, using AI isn’t just encouraged. It’s mandatory. One of Huang’s boldest claims is that AI’s future depends on America learning to build things again. He offered surprising support for the Trump administration’s push to re-industrialize the country, calling it not just a smart political move but an economic necessity. “That passion, the skill, the craft of making things; the ability to make things is valuable for economic growth. It’s valuable for a stable society with people who can create a wonderful life and a wonderful career without having to get a PhD in physics,†he said. Huang believes that onshoring manufacturing will strengthen national security, reduce reliance on foreign chipmakers like Taiwan’s TSMC, and open high-paying jobs to workers without advanced degrees. This stance aligns with Trump’s tariffs and “Made in America†push, a rare moment of agreement between Big Tech and MAGA world. In perhaps his most optimistic prediction, Huang described AI’s power to revolutionize medicine. He believes AI tools will speed up drug discovery, crack the code of human biology, and even help researchers cure all disease. “Over time, we’re going to have virtual assistant researchers and scientists to help us essentially cure all disease,†Huang said. AI models are already being trained on the “language†of proteins, chemicals, and genetics. Huang says we’ll soon see powerful AI partners in labs across the world. You may not see them yet, but Huang says the technology for physical, intelligent robots already works, and that we’ll see them in the next three to five years. He calls them “VLA models,†short for vision-language-action. These robots will be able to see, understand instructions, and take action in the real world. Huang didn’t dodge the darker side of the AI boom. When asked about controversies like Elon Musk’s chatbot Grok spreading antisemitic content, he admitted “some harm will be done.†But he urged people to be patient as safety tools improve. He said most AI models already use other AIs to fact-check outputs, and the technology is getting better every day. His bottom line: AI will be overwhelmingly positive, even if it gets messy along the way. Jensen Huang talks about AI curing diseases and reshaping work. But here’s what’s left unsaid: every transformation he describes flows through Nvidia. They make the chips. They set the pace. And now, at $4 trillion, they have the leverage to steer the AI era in their favor. We’ve seen this playbook before. Tech giants make utopian promises, capture the infrastructure, and then decide who gets access, and at what cost. From Amazon warehouses to Facebook news feeds, the pattern is always the same: consolidation, disruption, control. The AI hype machine keeps selling inevitability. But behind the scenes, this is a story about raw power. Nvidia is becoming a gatekeeper for what’s possible in science, labor, and security. And most of us didn’t get a vote. Huang says harm will happen. But history tells us that when companies promise to fix the world with tech, the harm tends to land on the same people every time.

Nvidia CEO Jensen Huang says AI job losses will come - " ifthe world runs out of ideas"

Huang has been warned by senators before an upcoming trip to China It's long been prophesied AI will lead to mass unemployment, with several CEOs and tech leaders warning AI will wipe out millions of jobs, and firms such as Microsoft laying off thousands of workers whilst bringing in new AI productivity tools. Now, Jensen Huang, CEO of chip manufacturer and AI firm Nvidia, offered his (slightly stale) perspective. In an interview with CNN, Huang essentially passes job protection responsibilities over to business leaders, claiming; "If the world runs out of ideas, then productivity gains translates to job loss." "Everybody's jobs will be affected. Some jobs will be lost. Many jobs will be created and what I hope is that the productivity gains that we see in all the industries will lift society," Huang said. Huang's authority on AI is significant too, thanks to Nvidia's power in the market. The company's GPUs remain one of the most influential tech products in the world, and are largely powering AI development across the world - including in China, which is spooking some US politicians. Huang recently received a warning written by Republican Senator Jim Banks and Democratic Senator Elizabeth Warren, Reuters reports, which advised against meeting with Chinese companies, arguing this could, "legitimize companies that cooperate closely with the Chinese military or involve discussing exploitable gaps in U.S. export controls". A Nvidia spokesperson saidUS technology will 'set the global standard' and that 'America wins' - with China being one of the largest software markets in the world, adding that AI software "should run best on the U.S. technology stack, encouraging nations worldwide to choose America". That being said, Huang has recently argued Chinese military branches will avoid using US technology because of the associated risk; "it could be, of course, limited at any time" he argued, "they simply can't rely on it". He added how Chinese military services, which are already developing powerful tools, "don't need Nvidia's chips, certainly, or American tech stacks in order to build their military." This comes in response to growing concerns that Chinese companies and military agencies will use US tech to enhance capabilities. Increasingly harsh restrictions have limited China's access to top AI technologies, aimed at curbing China's tech and AI advancement - but concerns remain about the threat to US national security should China use US companies to develop its capabilities.

Behind the Curtain -- Jensen vs. Dario: "There will be more jobs"

Both of them agree we'll soon have AI that's smarter than humans -- and will radically reshape how people work and companies operate. Amodei told us AI could wipe out half of entry-level white-collar jobs in a few years. His comments sparked weeks of national debate over the dangers of fast and furious technological advancements in AI. * Huang (pronounced wong) -- whose company last week became the most valuable in history, worth $4 trillion -- responded: "I don't know why AI companies are trying to scare us. We should advance the technology safely just as we advance cars safely. ... But scaring people goes too far." * Noting Amodei and other AI leaders issuing warnings are "really, really consequential and smart people," Huang said he was eager to "offer a counter-view," based on "all the evidence of history." "If we have no new ideas," Huang began, "and the work that we're doing is precisely all that needs to be done ... and no more than what humanity will ever need, then when we become more productive, [Amodei's warning would be] absolutely correct -- we will need fewer people doing that work." * "However, if you now look at history and you ask yourself: 'Do I have more ideas so that, if I were to be more productive, I could do more?' Then, you would describe a condition that reflects human history -- that we have become more productive over time." "We've become more productive raising crops," Huang continued, noting that it's not like all of a sudden, as a result of mechanization, "everybody ran out of work." * "Everyone's jobs will change," he said. "Some jobs will be unnecessary. Some people will lose jobs. But many new jobs will be created. ... The world will be more productive. There will be higher GDP [gross domestic product, or total national output]. There will be more jobs. But every job will be augmented by AI." In response to Huang's comments, Jack Clark, co-founder and head of policy at Anthropic, told us: "Starting a conversation about the impact of AI on entry-level jobs is a matter of pragmatism. As producers of this technology, we have an obligation to be transparent and clear-eyed about AI's potential societal and economic impacts." * "We should be discussing these issues in the open and preparing for them as needed -- just like we should be discussing and preparing for its transformative benefits." The big picture: Huang, 62, started Nvidia 30+ years ago -- back in 1993, before the dotcom bubble. The former engineer was relatively anonymous when Nvidia's chips were used for graphics for computer gaming. * Now, he's one of the world's leading faces of a technology that is just bursting into widespread public consciousness. * During last week's visit to D.C. from his headquarters in Silicon Valley, Huang met with President Trump at the White House, and sat down with senators on Capitol Hill. Huang then headed straight for Beijing, where on Monday he'll start meeting with Chinese officials. Huang's prescription: For knowledge workers who want to prepare and protect themselves, Huang recommends learning to use AI "to transform the way you work" -- exactly the advice we've given every person who works at Axios. * "You might go forward 10 years from now, " Huang said, "and just realize: The actual thing I was doing before that I considered to be my job, I don't do anymore. But I still have a great job -- in fact, even better than before. The things that I'm doing at my job are different, because AI is helping me do a lot of it. But I'm doing a lot more meaningful things." Case in point: We asked Huang about one of the most vivid examples of AI-endangered workers -- long-haul truckers, who could be largely supplanted by self-driving technology. * Many long-haul truckers, he postulated, "really don't love their job. They would love if they were short-haul truckers who were able to go to sleep at night with their family. They would go to their jobs. And between the cities, the truck would drive by itself. That would improve the quality of life of many long-haul truckers." Zoom out: Huang loves to talk about a "new industrial revolution" where AI benefits people who work with their hands to build data centers and create other AI infrastructure -- including the chips that last week gave Nvidia a market capitalization of $4 trillion (and made Huang worth $144 billion, eclipsing Warren Buffett). * Leading a show-and-tell in Nvidia's kitchen in downtown Washington, Huang pointed to a 70-pound Nvidia system that, when stacked in racks, helps power AI models. "It takes the love of manufacturing to build these things," he said. "There's just so much admiration for intellectual work in the United States. We need heroes who are making things." Behind the scenes: Huang, who was born in Taiwan, doesn't wear a watch. When we said we needed to wrap up the interview, he pulled up the sleeve of his trademark leather jacket to show off his bare wrist. He also keeps his phone on silent -- the better to focus on the moment. * IBM pioneer "Thomas Watson didn't care about the time, nor did Einstein care about the time," Huang explained. "The only time is right now. ... Because I'm here with you." The bottom line: "The AI revolution," Huang told us, "is both an incredible technology -- and the beginning of a whole new industrial reset."

Jensen Huang says AI isn't likely to cause mass layoffs unless 'the world runs out of ideas'

Jensen Huang is not an AI doomer, but he said developing tech could cause job losses if humans can't come up with new ideas. As CEO of Nvidia, the chipmaker now worth $4 trillion, Huang has a unique insight on the acceleration of AI adoption, and most of what he sees is positive. While some AI critics have warned the technology will lead to mass layoffs, Huang said it's not likely. "If the world runs out of ideas, then productivity gains translates to job loss," Huang told CNN. Just take a look at history: over the hundreds of years past as technology advanced, productivity gains went hand-in-hand with employment gains, said Huang. "Over the course of the last 300 years, 100 years, 60 years, even, in the era of computers, not only did productivity go up, employment also went up," he said. "Now the reason for that is if we have an abundance of ideas, ways that we could build a better future, if we were more productive, we could realize that better." The development of AI could also help humans by helping to surface new ideas across industries. The possibility of adding AI-enabled robots to fill the 30- to 40-million worker gap in skilled labor could also be positive and could help industry and the economy grow. Yet, without new ventures and ideas, the future looks more bleak, he said. "If you have no more ideas and all you want to do is this, then productivity drives down. It results in job loss." Huang's comments stand in stark contrast to those of Anthropic CEO Dario Amodei, who said AI could eliminate half of all entry-level white collar jobs and spike unemployment by double digits over the next five years. Amazon CEO Andy Jassy has also warned AI will reduce the company's total corporate workforce. Huang stands out as one of the more optimistic leaders in the AI space, although he noted that AI will certainly transform all jobs, and has already changed his own responsibilities. Although, he cheekily noted, he is still doing the job. Rather than fully replace humans, AI is already supercharging their productivity by equalizing the playing field, and hopefully, the productivity gains lift society, he added. "AI empowers people, it lifts people, it closes the gap, the technology gap, and as a result more and more people are going to be able to do more things."

Nvidia's CEO says AI is coming for workflows, not jobs

If your job feels safe from AI, it probably isn't. But Nvidia CEO Jensen Huang isn't sounding the alarm. He's looking to draw the blueprint for what's next. In a recent interview on CNN's "Fareed Zakaria GPS," the man steering the world's most valuable company didn't talk much about any AI-related layoffs or mass obsolescence of human workers. Huang instead talked about change -- not the kind that clears desks but the kind that quietly rewrites what work looks like, down to the last bullet point in your job description. "I'm certain [that] 100% of everybody's jobs will be changed," Huang told Zakaria. "The work that we do in our jobs will be changed. The work will change, but it's very likely -- well, my job has already changed ... but I'm still doing my job. Huang's comments are a marked contrast to some of the more dramatic forecasts from other AI leaders. Anthropic's Dario Amodei has been warning of an AI-caused "massacre" of white-collar jobs in fields such as law, accounting, and consulting. Huang's view is instead less dystopian and more historical. He points to past technological shifts -- from the Industrial Revolution to the age of personal computing -- that raised productivity without reducing overall employment. The key, he told Zakaria, is ideas. "If the world runs out of ideas, then productivity gains translate to job loss," he said. "But over the course of the last 300 years, 100 years, 60 years, even in the era of computers, not only did productivity go up, employment also went up." That dynamic, he says, depends on how AI is used. Rather than eliminating roles, the technology opens up capabilities to people who previously couldn't access them. Huang called AI "the greatest technology equalizer we have ever seen" because it "lifts the people who don't understand technology." "If you're not sure how to use it, you ask ChatGPT, 'How do I use you?'" Huang said. "It'll write the question nicely for you, and then you ask it to answer the question." For him, the proof is in how quickly everyday users have adopted AI tools such as ChatGPT -- and in how easily those tools teach people to use them. This, he says, is how AI narrows the technology gap. "AI empowers people. It lifts people," Huang said. "And as a result, more and more people are going to be able to do more things." His comments to Zakaria mirror a February interview with World Wide Technology, where Huang said, "No AI can replace 100% of a job, but many can replace 80% of what we do." AI's impact isn't theoretical. The technology is already affecting almost everything. Tasks are changing, workflows are shifting, and users are getting more out of less. The software may be complex, but the barrier to entry is lower than ever. What emerges is less about automation and more about access. And the winners, Huang suggests, won't be those who resist AI -- they'll be the ones who figure out how to wield it faster, better, and more creatively. The billionaire said he treats AI "like getting three doctors' opinions." He asks the same question to several AIs, prompts them to critique one another, and then synthesizes the best output -- a process he sees as sharpening cognitive skills, not eroding them. He said that, "as a CEO, I spend most of my time asking questions, and 90% of my instructions are actually conflated with questions." Huang doesn't deny that there will be disruption and job loss. Some jobs will disappear. But millions more could be created, especially in areas starved for labor. If AI improves productivity across sectors -- especially in those industries that are facing labor shortages -- it could help fuel growth, not just efficiency. "Around the world, we're about 30 to 40 million skilled labor short," he said. "If we fill those jobs with robots, the industries will grow, the economy will grow. It'll create more prosperity. It'll create more opportunity." With AI-powered tools and robotics filling some of those workforce gaps, industries expand. And so do economies. If that sounds like techno-idealism, it's more like strategic positioning. Nvidia has become the world's most valuable semiconductor company on the back of that exact premise: that the future of work isn't fully automated -- it's augmented. And whoever builds the tools for that future wins. But again, the future of work largely hinges on ideas. Innovation is the lever and, without it, AI could indeed reduce the need for human labor. With it, productivity becomes a possibility, not redundancy. "I think the fundamental thing is this: Do we have more ideas left in society?" Huang said. "And if we do, if we're more productive, we'll be able to grow."

AI's Goldilocks problem: Powell, Huang, and Amodei can't agree -- And Gen Z's fate lies in the balance

The Gen Z generation entering the workforce (aged roughly 13 to 28 years old) has a much more urgent question on its mind: Just how badly will the artificial intelligence revolution mangle their careers? Predictions range from too cold to too hot, and in the summer of 2025, prominent business and economics leaders have staked out their positions. Jensen Huang, the billionaire founder of the indispensable AI chips manufacturer Nvidia, is at one pole of the argument, while Dario Amodei, CEO of the cutting-edge AI startup Anthropic is at the other. In the middle of this Goldilocks equation is none other than Federal Reserve Chair Jerome Powell. Dario Amodei, CEO of Anthropic, has emerged as the most outspoken pessimist. In a series of interviews and public appearances, Amodei warned in an interview with Axios that AI could eliminate up to 50% of entry-level white-collar jobs within the next five years, potentially driving U.S. unemployment as high as 20%. He pointed to the rapid adoption of advanced AI models -- like Anthropic's own Claude 4 -- which are already automating tasks once reserved for junior staff in fields such as tech, finance, law, and consulting. "We, as the producers of this technology, have a duty and an obligation to be honest about what is coming," Amodei said. "Most of them are unaware that this is about to happen. It sounds crazy, and people just don't believe it." Amodei's warnings have some backing from data: Big Tech's hiring of new graduates has dropped 50% since 2019, and a 25% decline in new grad hires was recorded from 2023 to 2024 alone. New grads account for only 7% of big tech hires. A recent World Economic Forum survey shows that 40% employers expect to reduce their workforce in areas where AI can automate tasks between 2025 and 2030. Amodei has called for urgent government action, including proposals like a "token tax" on AI-generated revenue to support displaced workers. Jensen Huang, CEO of Nvidia, offers a more optimistic -- if nuanced -- counterpoint. While acknowledging that AI will change 100% of jobs, Huang insists that fears of mass unemployment are overblown. Instead, he argues that AI will redefine work, automating routine tasks but also creating new roles and opportunities. "I am certain 100% of everybody's jobs will be changed. The work that we do in our jobs will be changed. But it's very likely -- my job has already changed," Huang said in a recent interview with CNN's Fareed Zakaria. Huang believes that the key to thriving in the AI era is embracing AI literacy. He warns that those who fail to adapt risk being left behind, but he also points to the emergence of new career paths in AI training, data labeling, and system integration. For Huang, the "Goldilocks" solution is innovation: as long as society continues to generate new ideas, productivity gains from AI can lift everyone. Federal Reserve Chair Jerome Powell occupies a middle ground, acknowledging both the risks and the potential of AI. In testimony before Congress and at international forums, Powell has said that AI's impact on the economy and labor market is likely to be "significant," but the timing and scale remain deeply uncertain. "There's certainly a possibility that, at least in the beginning, AI will replace a lot of jobs, rather than just augmenting people's labor," Powell told lawmakers. "In the long run, AI may raise productivity and lead to greater employment. But it is a transformational technology, with effects that are unknowable." Powell has emphasized that the central bank is closely monitoring AI's effects but stressed that policy responses must come from Congress, not the Fed. He has also cited research suggesting that generative AI could boost global GDP by 7% over a decade -- although with the caveat that up to 300 million jobs worldwide could be affected. For Gen Z, the stakes could not be higher. As the first generation to enter a workforce transformed by AI, they face a future where entry-level jobs may be scarce, but new opportunities could emerge for those with the right skills. A major global survey from Gallup found that 63% of Gen Z workers worry that generative AI will eliminate jobs -- a level of concern matched only by millennials. This anxiety is fueling a surge in upskilling efforts, with 70% of Gen Zers developing new skills at least once a week to stay competitive. This anxiety is not just theoretical -- those with no direct AI experience are even more likely to feel anxious (55%), suggesting that uncertainty and lack of guidance amplify these fears. The same study found that only 10% of Gen Zers without AI experience feel excited about the technology, underscoring a widespread sense of unease. A recent survey of U.S. workers revealed that 52% of Gen Z respondents are worried that someone with better AI skills could replace them at work within the next year. This is the highest level of concern among all generations surveyed, outpacing both millennials (45%) and Gen X (33%). The anxiety is driving Gen Z to pursue professional development at higher rates, with 26% planning to enroll in six to 10 courses over the next year to keep their skills relevant. Nvidia did not respond to a request for comment. Anthropic also referred Fortune to a comment from Anthropic co-founder and head of policy Jack Clark: "Starting a conversation about the impact of AI on entry-level jobs is a matter of pragmatism. As producers of this technology, we have an obligation to be transparent and clear-eyed about AI's potential societal and economic impacts." For this story, Fortune used generative AI to help with an initial draft. An editor verified the accuracy of the information before publishing.

Nvidia CEO Says He Has Plans to Either Change or Eliminate Every Single Person's Job With AI

Wall Street was bristling earlier this month as the chipmaker Nvidia behind the AI boom hit a record market value of $3.92 trillion, narrowly eclipsing Apple's record of $3.915 trillion set last December. Just days later, Nvidia became the most valuable company in history, breaking the $4 trillion value ceiling and pushing CEO Jensen Huang up to being the world's sixth richest person, with a net worth of over $143 billion. With his bag safely secured for the next several dozen generations, Huang celebrated his dynasty with an ominous warning: "everybody's jobs will be affected." Speaking with CNN's Fareed Zakaria, Huang repeated the spooky threat, which the broader tech sector has been dining out on for years. At the center of Huang's prediction is productivity -- the idea that AI will soon produce more market value than human workers, in less time and for a lower cost -- though, like many of his peers, he also mixed in the confusing claim that there will still be room for human jobs, which will take as-yet-undisclosed new forms. "Some jobs will be lost," Huang said. "Many jobs will be created and what I hope is that the productivity gains that we see in all the industries will lift society." What "lifting society" means in practice remains to be seen. For all the billions of dollars poured into AI, our tech overlords have refused to use their fortunes to prepare us for the coming AI job apocalypse they insist is right around the corner. Instead, they've aligned with politicians bent on the destruction of the social safety net and the privatization of public services for the direct benefit of the ultra-wealthy. Case in point, while Nvidia's stock price soared following Huang's headline-grabbing interview, the reality for workers is much less green. Were the CEO to ever talk to one of them, he might find that "productivity" is the last thing on anyone's mind. In mid-2024, a study of 2,500 workers found that 77 percent reported decreased productivity and even higher workloads when using AI. Just under 40 percent of workers reported increased workloads caused explicitly by AI's sloppy mistakes, while 47 percent of respondents "didn't know how to achieve the expected productivity" gains with AI. More recently, a survey of 25,000 employees across 7,000 workplaces by the National Bureau of Economic Research in Denmark found that enterprise AI contributed to paltry productivity gains overall compared to typical productivity growth over time. For workers, "AI chatbots have had no significant impact on earnings or recorded hours in any occupation" -- meaning that if AI is about to take everyone's jobs, it's being awfully quiet about it. While loads of startup grifters and cynical PR spinsters have spent years pushing the AI automation story, the Nvidia CEO's forecast marks a noteworthy departure from his previous take on the issue. Earlier in June, Huang pushed back hard on Anthropic CEO and fellow tech billionaire Dario Amodei's hairbrained statement that AI could automate half of all entry-level office jobs within five years -- a claim so out of line with the tech's current abilities that it's almost meaningless. "One, he believes that AI is so scary that only they [Anthropic] should do it," Huang said at the time. "Two, [he believes] that AI is so expensive, nobody else should do it... and three, AI is so incredibly powerful that everyone will lose their jobs, which explains why they should be the only company building it." It was a harsh repudiation of Amodei's obnoxious AI fearmongering, and a seemingly sober take from someone in Huang's position -- at least at the time. Nvidia, it should be noted, currently controls 90 percent of the datacenter chip market, holding an immense position of power over the tech industry, the Fortune 500, and US military interests. Unlike the companies relying on his hardware, Huang's Nvidia depends less on an AI automation sales pitch, and more on a constant line of chip buyers.

Nvidia CEO Says '100% of Everybody's Jobs Will Be Changed' Due to AI

Huang, who has been leading the company since co-founding it in 1993, said in a new interview that AI would transform "100% of everybody's jobs." In a new interview, Nvidia CEO Jensen Huang says AI is "the greatest technology equalizer" the world has ever seen -- and that "100% of everybody's jobs will be changed" as a result. Huang told CNN's Fareed Zakaria on Sunday that AI was an "equalizer," meaning that it "lifts" people who aren't well-versed in technology to be able to use it. Huang said ChatGPT, an AI chatbot with over 500 million global weekly users, was an example of how people can easily use AI with little to no formal training in interacting with it. "Look at how many people are using ChatGPT for the very first time," Huang told Zakaria. "And the first time you use it, you're getting something out of it... AI empowers people; it lifts people." Related: Here Are the 10 Highest-Paying Jobs with the Lowest Risk of Being Replaced By AI: 'Safest Jobs Right Now' AI results in people being able to do more with the technology than they would have without it, Huang said. He elaborated that he was "certain" that the "work that we do in our jobs" would be dramatically transformed due to AI. Huang, who has been leading Nvidia as CEO since co-founding it in 1993, said his own work has changed because of AI. "The work will change," Huang said in the interview. "My job has already changed. The work that I do has changed, but I'm still doing my job." Huang said that "some" jobs would be lost because of AI, but "many" jobs would be created thanks to the technology. He predicted that AI would result in productivity gains across industries, lifting society as a whole. Huang's predictions are less dire than those of Dario Amodei, the CEO of $61.5 billion AI startup Anthropic. In May, Amodei told Axios that within the next five years, AI could wipe out half of all entry-level white-collar jobs and cause unemployment to rise to 10% to 20%. In March, he stated that AI would write "all of the code" for companies within a year. Adam Dorr, research director at the think tank RethinkX, stated that by 2045, AI and robotics could make human jobs obsolete. "We don't have that long to get ready for this," Dorr told The Guardian last week. "We know it's going to be tumultuous."

Sam Altman endorses Jensen Huang's view on AI and its impact on jobs - The Economic Times

In a post on X, Altman noted key themes Huang has emphasised: AI will not eliminate jobs wholesale but will fundamentally change how work is done.OpenAI CEO Sam Altman has expressed agreement with Nvidia CEO Jensen Huang's forward-looking perspective on how artificial intelligence (AI) will impact global workforce. In a post on X, Altman noted key themes Huang has emphasised: AI will not eliminate jobs wholesale but will fundamentally change how work is done. Huang has argued that "100% of everybody's jobs will be changed" by AI but not erased, as said by many. Rather than causing mass unemployment, Huang envisions AI as a tool that will augment human ability and creativity, allowing people to do far more than before. Echoing these sentiments, Altman wrote in a detailed post that with AI, "people will do a lot more than they could do before, still care very much about other people and what they do and still be very driven by creating and being useful to others". Altman said jobs of the future will be unfamiliar or playful to our present-day eyes, similar to how past generations view today's work.