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AI Business & IndustryFortune AIPublished: Sep 19, 2026, 19:01 JST

Gelsinger and Rao: AI will create more jobs than it destroys

Gelsinger and Rao: AI will create more jobs than it destroys

3 Key Points

  1. What happened

    Pat Gelsinger and Naveen Rao argue in Fortune that AI is creating new jobs as fast as it eliminates old ones, citing their own experiences and historical precedent.

  2. Why it matters

    The authors contend that historical technology disruptions have always created more jobs than they destroyed, and they see AI following the same pattern.

  3. What to watch

    They worry that Americans will spend the next ten years holding on to a romanticized past instead of building the more interesting world they will inherit. Watch whether their confident analogies to past disruptions hold as the AI transition compresses into a few years.

WHO IT HITSBusiness leaders, policymakers, and workers in sectors facing automation will find the authors' argument that AI creates more jobs than it destroys directly relevant to their planning. The authors' claims appear to be based on their personal experiences and historical analogy rather than new data.

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Context & Analysis

Farm families are still suffering from the effects of the Industrial Revolution, which occurred more than a century ago. Absorbing each new technological onslaught has taken society a lot of time, and it also took a while for innovations to fully infiltrate the economy. Not this time — the AI transition is being compressed into a few years.

The authors bring unusual personal history to this debate. Between the two of us, they write, we've been in the technology industry for over 70 years, most of that from Pat, who joined Intel at 18, became its CEO, and now is a General Partner at a venture capital firm that invests in deep tech. Naveen has founded three AI startups, selling one to Intel, another for over a billion dollars, and now leads a third with a valuation of $4.5 billion. Both grew up in rural America — Pat on a farm in Robesonia, Pennsylvania (pop. 2,035), and Naveen in the Appalachian coal-mining town of Whitesburg, Kentucky (pop. 1,711) — and they describe watching traditional industries get disrupted and jobs disappear.

Their examples are concrete. At Intel's fabs, robot dogs now check pipes for chemical leaks that could kill you, freeing safety technicians to become fleet managers of those dogs — a much safer, more pleasant, and more interesting job, they write, while the pipes are checked far more often. In Naveen's current company, a chip was designed in six months without a dedicated team, something that wasn't possible before AI. The authors also note the AI buildout itself is short roughly 350,000 construction workers this year. The stakes, as they see them, are less about whether work will exist than whether Americans waste the next ten years holding on to a romanticized past instead of building the more interesting world they will inherit.

FAQ
What evidence do Gelsinger and Rao give for their claim that AI creates more jobs?
They point to historical precedent, saying every past technology disruption has created more jobs than it destroyed. They also cite Naveen Rao's company, which got a chip designed without a dedicated team, and say his growth is limited by an inability to hire fast enough.
Why do the authors think AI is necessary even if it displaces some workers?
They argue AI is showing up because there aren't enough workers, not too many. They note that more than 11,000 Americans turn 65 every day, birth rates are falling across the developed world, and the AI buildout is short roughly 350,000 construction workers this year.
Do Gelsinger and Rao see any risks in the AI transition?
They acknowledge people are logically panicked about job replacement and that past tech revolutions shut people out. But they argue AI is different because anyone can learn to "vibe code" in a weekend for free, and the economy is not a fixed number of jobs.

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