Nvidia Corp. NVDA chief Jensen Huang says artificial intelligence has rewritten the tech stack — and given the Bay Area a second wind.
What Happened: “What used to be human‑coded software running on CPUs are now machine‑learning–generated software running on GPUs,” he told Hill & Valley Forum co‑founder Jacob Helberg during a recent fireside chat. Huang credits that shift for the sudden buzz in downtown San Francisco, where venture capital is flooding back into AI startups.
Huang argued every layer of development — from compilers to data‑curation tools — must now be rebuilt for AI workstreams, spawning fresh career tracks. "Some jobs, new jobs will be created, some jobs will be lost. Every job will be changed," he said.
Nvidia's road map highlights Huang’s point: the company rolled out its Blackwell Ultra GPU this spring and unveiled "Groot N1," a foundation model for humanoid robots aimed at closing labor gaps in factories.
The chip giant already commands as much as 95% of the AI‑training silicon market, and Huang contends that generative‑AI productivity will ultimately boost hiring, not kill it; earlier this year, he predicted companies would employ more people and pay higher wages as AI lifts profits. Still, he acknowledged turbulence: "Every single layer … is being invented right now," meaning workers must reskill to stay relevant.
What To Know: JPMorgan Chase chief Jamie Dimon told staff in February that AI will serve as a "copilot" by stripping away drudgery and, in some cases, eliminating roles. He called workforce turnover an ally, adding that the bank plans to "retrain and reskill and redeploy" employees displaced by automation.
Klarna CEO Sebastian Siemiatkowski took the point further, telling Bloomberg that "AI can already do all of the jobs that we, as humans, do." The World Economic Forum's Future of Jobs Report 2025 backs that stark outlook: 41 % of employers expect to shrink headcount within five years in positions where AI can replicate human work.
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