‘Purpose of task vs. job’: Nvidia CEO Jensen Huang explains why AI will change jobs, not eliminate them |

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‘Purpose of task vs. job’: Nvidia CEO Jensen Huang explains why AI will change jobs, not eliminate them

People are getting more and more worried about losing their jobs as AI becomes more common in the workplace. Many workers are worried that machines could completely take over human jobs, from offices to hospitals. Nvidia’s CEO, Jensen Huang, thinks this fear misses an important point. Speaking on the No Priors podcast, Huang offered a calm and practical view of how AI is actually changing the workplace. He says that AI is not taking away the purpose of jobs. It’s not changing the jobs themselves; it’s changing how some parts of them are done. AI takes care of boring or time-consuming tasks so that people can focus on things that need human judgment, experience, and responsibility. Huang’s argument is based on examples from the real world in healthcare, technology, law, and even the service industry.

Jensen Huang explains why AI changes tasks, not the purpose of jobs

One of the main things Jensen Huang talked about was the difference between tasks and goals. People do tasks every day, like typing reports, looking over documents, or scanning pictures. Purpose is the reason the job exists in the first place.

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Huang explained that AI is very good at handling tasks, especially those that are repetitive or rule-based. However, it does not replace the core purpose of a role. In many cases, removing these smaller tasks allows professionals to do their jobs better and on a larger scale.

AI did not replace radiologists it made them more in demand

Radiology is often cited as a field that AI would disrupt or shrink. Years ago, some experts predicted that automated image analysis would reduce the need for radiologists. Huang pointed out that the opposite has happened.Recent data shows that in 2025, diagnostic radiology residency programs offered 1,208 positions, a 4 percent increase compared to the previous year. Radiology has also become the second-highest-paid medical speciality, with average incomes reaching $520,000. This marks a 48 percent increase since 2015.AI now helps radiologists read scans faster and more accurately. But the core responsibility, diagnosing disease and guiding treatment, still depends on human expertise. Because hospitals can now process more cases, they earn more revenue and hire more specialists.

AI helps Jensen Huang type less, but think more

Huang used his own role to explain the idea further. He said much of his day is spent typing, reviewing information, and communicating. AI tools that help automate writing or summarising tasks save him time.However, he made it clear that this has not reduced his workload. Instead, it allows him to handle more responsibilities. AI takes away the stress of smaller tasks, which helps him focus on making decisions, planning, and leading.

Software engineering and hiring growth

AI is also having a big effect on software development. AI tools can now write code, find bugs, and speed up the development process. Some assume this means fewer engineers are needed.Huang rejected this view. At Nvidia, the company continues to hire engineers even as AI tools become more capable. Faster development means more projects can be taken on. That, in turn, creates demand for skilled people who can design systems, solve problems, and guide long-term technical direction.

Legal and service industries adapt

The legal profession is also changing. AI can quickly review documents and search through large volumes of data. Still, lawyers remain essential for protecting clients, resolving disputes, and applying judgment in complex situations.Huang also spoke about service jobs, such as restaurants. Even if AI takes over tasks like order-taking or delivery, the purpose of the job remains unchanged. The goal is still to make customers happy. People who work adapt by focusing more on personal interaction, problem-solving, and the quality of service.

Redesigning work, not removing it

Huang’s main point is that AI doesn’t take jobs away; it changes the way people do them. The most affected are jobs that require you to do the same things over and over. Jobs that require results, care, creativity, and responsibility still need people.AI is a tool that helps workers get more done. It helps businesses serve more customers, patients, or users by making them more productive, which usually means they hire more people.

A shift in how work is done

AI is changing how work is done instead of taking jobs away. It clears up bottlenecks, makes everyday tasks go faster, and gives professionals more time to focus on what’s really important. Huang says that in the future, work won’t be about fighting AI. Instead, it will be about figuring out how to use it to get better results while keeping people at the center.



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