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    Home»Jobs & AI»Jensen Huang Predicts AI Will Create More Jobs As It Makes Hard Problems Look Small, Says ‘We’re Going to Be Busier Than Ever’

    Jensen Huang Predicts AI Will Create More Jobs As It Makes Hard Problems Look Small, Says ‘We’re Going to Be Busier Than Ever’

    By Henry KanapiJanuary 18, 20263 Mins Read
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    Nvidia chief executive Jensen Huang says the accelerating speed of AI-powered computing is fundamentally shrinking the scale of human problems, a shift he believes will drive higher productivity and ultimately create more work rather than eliminate it.

    Speaking in an interview with podcaster Jodi Shelton, Huang says AI and advanced computing are tools that compress complexity, making challenges that once felt overwhelming appear increasingly manageable.

    “When the tool is way, way faster, then the problem looks way smaller. And so let me give you an example. If an airplane were to travel Mach 10, then obviously, the world becomes a smaller place. And because of jet planes, we made the world smaller. The world used to be a lot bigger.”

    Huang says the same logic now applies to computing, particularly the hardware Nvidia designs, which he argued has reached a point where once-daunting data challenges now look trivial.

    “And so it’s the same thing with the computers Nvidia makes, because what we make is so much faster, we made every problem smaller to the point where one day, researchers at OpenAI said, ‘Hey, why don’t we just take all of the internet data and just give it to this computer?’ Because all of a sudden, all of the world’s internet data looks so small. These days, when we look at all of the world’s internet data, it looks tiny to us, because the computers have become so fast.”

    He says this mindset will ripple across nearly every scientific and industrial field, changing how organizations approach innovation and execution.

    “And that attitude will pervade almost every field of science. Back in the old days, everybody went, ‘Wow, this is a really hard problem.’ Now it’s going to look really simple.”

    Addressing concerns that AI could reduce employment, Huang believes the opposite outcome is more likely. As problems become easier to tackle, he says that humans will simply invent more problems worth solving, en route to drastically boosting employment.

    “One of the manifestations of it, though, as I connect these two ideas, is if every problem that we dream up looks more tenable, then we’re going to come up with more problems to solve. And so, instead of having fewer jobs, I actually feel what’s likely to happen is that we’re going to be busier than ever. And the reason for that is because we’re going to think of more and more ideas of things that we can solve now that we didn’t use to be able to solve. All those things that were off the table are now on the table.”

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