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NVIDIA CEO Jensen Huang on how AI will transform work — and why we’ll be busier than ever "Everybody's jobs will be different. Mundane, arduous tasks become simple — we'll be far more productive. But here's the twist: With more productivity, we'll have more ideas to pursue. Elon and...

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📁 Jensen Huang says AI did not end radiologists. Hinton predicted radiology would be 100 percent AI. And it happened. But the number of radiologists grew. AI automated the task, not the purpose. Higher productivity, more patients, more revenue and more humans doing higher value work.
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📁 Jensen Huang says AI did not end radiologists. Hinton predicted radiology would be 100 percent AI. And it happened. But the number of radiologists grew. AI automated the task, not the purpose. Higher productivity, more patients, more revenue and more humans doing higher value work.

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Jensen Huang on why AI won't give workers more free time but will make them busier than ever: He explains it by separating two ideas most people conflate: task versus purpose. He starts by drawing a critical distinction: "The purpose versus the task of a job has to be separated. The task of a radiologist includes studying scans, but the purpose of the job is to work with clinicians and doctors and patients to help diagnose disease." When AI handles tasks faster, the purpose expands to fill the new capacity. Jensen uses radiologists as a real-world example: "The fact that these radiologists can now study scans so fast, they order more scans from more modalities. As a result, they're able to onboard patients a lot more quickly. The number of patients in a hospital can go up. The hospital is making more money taking care of more patients. Radiologists busier than ever." He sees the exact same pattern playing out with his own engineering team: "Our company 100% of software engineers are now supported by agents. They're busier than ever because their experimentation is coming back a lot more quickly. Every single idea expressed in the code instantaneously." The result is greater ambition rather than less work: "We're exploring more ideas, more software engineers are working with each other, coming up with new ideas, new problems that we never even think of solving before because we just didn't have the time to do before." His conclusion challenges the popular narrative around AI and free time: "I think most people have this wrong. I think that the fact that we're now so productive, we can experiment, iterate so fast, we're going to be busier than ever."
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Jensen Huang on why AI won't give workers more free time but will make them busier than ever: He explains it by separating two ideas most people conflate: task versus purpose. He starts by drawing a critical distinction: "The purpose versus the task of a job has to be separated. The task of a radiologist includes studying scans, but the purpose of the job is to work with clinicians and doctors and patients to help diagnose disease." When AI handles tasks faster, the purpose expands to fill the new capacity. Jensen uses radiologists as a real-world example: "The fact that these radiologists can now study scans so fast, they order more scans from more modalities. As a result, they're able to onboard patients a lot more quickly. The number of patients in a hospital can go up. The hospital is making more money taking care of more patients. Radiologists busier than ever." He sees the exact same pattern playing out with his own engineering team: "Our company 100% of software engineers are now supported by agents. They're busier than ever because their experimentation is coming back a lot more quickly. Every single idea expressed in the code instantaneously." The result is greater ambition rather than less work: "We're exploring more ideas, more software engineers are working with each other, coming up with new ideas, new problems that we never even think of solving before because we just didn't have the time to do before." His conclusion challenges the popular narrative around AI and free time: "I think most people have this wrong. I think that the fact that we're now so productive, we can experiment, iterate so fast, we're going to be busier than ever."

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Jensen Huang says Geoffrey Hinton predicted 5 years ago that AI would replace radiologists and he’s right — but not in the way people expected. AI has swept the whole field. Today, just about every radiologist is using AI in some way. But here’s the twist: the number of radiologists actually grew. Why? Because their real purpose isn’t studying the image — it’s diagnosing disease. AI now studies images faster, more precisely, in 3D instead of 2D, without mistakes or fatigue. Meaning radiologists can diagnose more people than ever before. Hospitals get better economics → serve more patients → and hire more radiologists.
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Jensen Huang says Geoffrey Hinton predicted 5 years ago that AI would replace radiologists and he’s right — but not in the way people expected. AI has swept the whole field. Today, just about every radiologist is using AI in some way. But here’s the twist: the number of radiologists actually grew. Why? Because their real purpose isn’t studying the image — it’s diagnosing disease. AI now studies images faster, more precisely, in 3D instead of 2D, without mistakes or fatigue. Meaning radiologists can diagnose more people than ever before. Hospitals get better economics → serve more patients → and hire more radiologists.

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Nvidia CEO Jensen Huang on AI: The fact that this is going to be the end of humanity—it's complete nonsense. The fact that this is going to destroy half of the American jobs—it's complete nonsense. AI will increase productivity. When productivity is increased, it creates opportunities. Over the history of technology, society has become more productive as a result of technology. It has created more jobs, not less. Source: Axios
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Nvidia CEO Jensen Huang on AI: The fact that this is going to be the end of humanity—it's complete nonsense. The fact that this is going to destroy half of the American jobs—it's complete nonsense. AI will increase productivity. When productivity is increased, it creates opportunities. Over the history of technology, society has become more productive as a result of technology. It has created more jobs, not less. Source: Axios

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$NVDA CEO Jensen Huang said demand has gone parabolic because agentic AI has arrived, AI can now do productive work and tokens are becoming profitable. If tokens are profitable then model builders have a reason to produce more of them which means more inference, more compute and more demand across networking, memory, CPUs, power and data centers. The near-term stock reaction is about expectations but long-term story is still that the AI factory buildout is running through Nvidia which is why I think it has a real path to becoming the world’s first $10T company.
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$NVDA CEO Jensen Huang said demand has gone parabolic because agentic AI has arrived, AI can now do productive work and tokens are becoming profitable. If tokens are profitable then model builders have a reason to produce more of them which means more inference, more compute and more demand across networking, memory, CPUs, power and data centers. The near-term stock reaction is about expectations but long-term story is still that the AI factory buildout is running through Nvidia which is why I think it has a real path to becoming the world’s first $10T company.

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JENSEN HUANG CALLED OUT EVERY CEO WHO’S BEEN FIRING PEOPLE “BECAUSE OF AI.” JIM CRAMER ASKED HIM WHY COMPANIES ARE LAYING PEOPLE OFF IF AI IS SUPPOSED TO MAKE EVERYONE MORE PRODUCTIVE. JENSEN’S RESPONSE: “FOR COMPANIES WITH IMAGINATION, YOU WILL DO MORE WITH MORE. FOR COMPANIES WHERE THE LEADERSHIP IS JUST OUT OF IDEAS, THEY HAVE NOTHING ELSE TO DO. THEY HAVE NO REASON TO IMAGINE BEYOND WHAT THEY ARE TODAY. WHEN THEY GAIN MORE CAPABILITY, THEY DON’T DO MORE.”
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JENSEN HUANG CALLED OUT EVERY CEO WHO’S BEEN FIRING PEOPLE “BECAUSE OF AI.” JIM CRAMER ASKED HIM WHY COMPANIES ARE LAYING PEOPLE OFF IF AI IS SUPPOSED TO MAKE EVERYONE MORE PRODUCTIVE. JENSEN’S RESPONSE: “FOR COMPANIES WITH IMAGINATION, YOU WILL DO MORE WITH MORE. FOR COMPANIES WHERE THE LEADERSHIP IS JUST OUT OF IDEAS, THEY HAVE NOTHING ELSE TO DO. THEY HAVE NO REASON TO IMAGINE BEYOND WHAT THEY ARE TODAY. WHEN THEY GAIN MORE CAPABILITY, THEY DON’T DO MORE.”

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Sam Altman just said the future of work won’t look like work At TreeHacks 2026, Sam Altman said something wild: Jobs in 100 years will be as unrecognizable to us as our jobs would be to people 300 years ago. AI will take over more and more operational work. And instead of obsessing over machines, humans may end up focusing more on each other. Which raises a bigger question: If AI does most of the work… do we even keep the concept of “jobs”? 👀
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Sam Altman just said the future of work won’t look like work At TreeHacks 2026, Sam Altman said something wild: Jobs in 100 years will be as unrecognizable to us as our jobs would be to people 300 years ago. AI will take over more and more operational work. And instead of obsessing over machines, humans may end up focusing more on each other. Which raises a bigger question: If AI does most of the work… do we even keep the concept of “jobs”? 👀

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Jensen Huang said fears about AI destroying jobs are nonsense driven by people making things up. Then he gave the most concrete proof I have ever heard. He called it the radiology story. 12 years ago one of the world's most respected computer scientists made a prediction. Computer vision had become superhuman at reading medical scans. It never got tired. It never missed a detail. So he said radiology was finished. He advised nobody to enter the field. The job was going to be wiped out. Jensen said he was absolutely right. Computer vision did penetrate every single radiology stack. Every radiologist today is augmented by it. The task of reading scans became automated. Then the opposite of the prediction happened. Radiology demand went up. The number of radiologists in the world went up. The reason is the distinction Jensen kept coming back to the whole talk. Task versus purpose. The task of a radiologist is reading scans. The purpose is working with doctors to diagnose disease. When the task got automated, radiologists got more productive. More productive meant more patients admitted. More patients meant more scans. More scans meant more profit. More profit meant they hired more radiologists. The field the expert said would be wiped out needed more people than before. Jensen's point was not that AI creates no disruption. His point was that people confuse the task with the job and then make predictions that cause real damage. Fewer people trained in radiology because of that speech. Now there is a shortage. Someone recently said 90% of software coding will disappear. Jensen said Nvidia is hiring more software engineers than ever. Coding is not a software engineer's job. Solving problems is. When you automate the task, you free the person to do the actual job. That is not a job loss. That is an upgrade.
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Jensen Huang said fears about AI destroying jobs are nonsense driven by people making things up. Then he gave the most concrete proof I have ever heard. He called it the radiology story. 12 years ago one of the world's most respected computer scientists made a prediction. Computer vision had become superhuman at reading medical scans. It never got tired. It never missed a detail. So he said radiology was finished. He advised nobody to enter the field. The job was going to be wiped out. Jensen said he was absolutely right. Computer vision did penetrate every single radiology stack. Every radiologist today is augmented by it. The task of reading scans became automated. Then the opposite of the prediction happened. Radiology demand went up. The number of radiologists in the world went up. The reason is the distinction Jensen kept coming back to the whole talk. Task versus purpose. The task of a radiologist is reading scans. The purpose is working with doctors to diagnose disease. When the task got automated, radiologists got more productive. More productive meant more patients admitted. More patients meant more scans. More scans meant more profit. More profit meant they hired more radiologists. The field the expert said would be wiped out needed more people than before. Jensen's point was not that AI creates no disruption. His point was that people confuse the task with the job and then make predictions that cause real damage. Fewer people trained in radiology because of that speech. Now there is a shortage. Someone recently said 90% of software coding will disappear. Jensen said Nvidia is hiring more software engineers than ever. Coding is not a software engineer's job. Solving problems is. When you automate the task, you free the person to do the actual job. That is not a job loss. That is an upgrade.

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Should we be worried about labour displacement at the hands of AI? "Short term, yes. Long term, no. In the near term, AI is creating real disruption, with large layoffs and thousands of people being displaced from existing jobs. Over the long run, there are far more problems to solve than people currently working on them. If AI makes engineers more abundant and productive, we can redirect that talent toward solving problems that were previously uneconomic or impossible to tackle." Matan Grinberg Do you agree and what does no one consider that everyone should with regards to future of labour Marc Andreessen 🇺🇸 Matt Miller Shaun Maguire Vinod Khosla

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📁 Geoffrey Hinton says the impact of AI will be radical and deeply uncertain. Many jobs will disappear and there is no guarantee new ones will replace them. AI will massively boost productivity, but the real issue is not technological. It is political. How wealth is distributed when work is no longer required. More productivity does not guarantee a better future. Without systemic change, it could mean the opposite.
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