Jensen Huang, Nvidia CEO, rebuts AI software fears

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TL;DR

Jensen Huang has pushed back against fears that artificial intelligence will wipe out traditional software companies. Speaking about the evolving AI landscape, the Nvidia CEO argued that markets are misreading AI’s impact. Rather than replacing software firms, AI will expand the market, reshape workflows, and create new layers of demand for computing infrastructure and services.

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Global markets have been jittery about artificial intelligence. Investors have rotated aggressively, punishing some traditional software companies on the assumption that generative AI tools will commoditise their offerings. But Jensen Huang, CEO of Nvidia, believes that conclusion is premature — and possibly wrong.

Huang’s core argument is straightforward: AI does not eliminate software; it transforms how software is built, delivered, and consumed. In his view, the narrative that AI will hollow out enterprise software misunderstands how technological shifts historically expand, rather than contract, markets.

“Markets are misreading what AI means for software companies,” Huang said, cautioning against simplistic assumptions that automation equals obsolescence.

At the centre of his thesis is infrastructure. AI systems require immense computing power, specialised chips, and data-centre scale. Nvidia, as the dominant supplier of GPUs powering AI workloads, sits at the heart of that build-out. But Huang’s framing goes beyond hardware sales. He sees AI as a new computing platform — akin to the rise of the internet or mobile — that will trigger a fresh wave of software innovation.

Rather than replacing enterprise software vendors, AI tools will embed themselves inside their products. Customer service platforms will integrate generative copilots. Coding tools will evolve into AI-assisted development environments. Business analytics systems will become predictive and autonomous. The value chain shifts — it does not vanish.

Huang emphasised that AI increases productivity but also increases ambition. As tools become more capable, companies attempt more complex tasks. That, in turn, drives demand for more computing power and more sophisticated software layers.

“AI will create new categories of software and new opportunities,” he noted, suggesting that today’s fears echo earlier technological panics that ultimately underestimated innovation’s multiplier effect.

For investors, the message is nuanced. Some business models will undoubtedly face disruption. Margins may compress in certain segments. But the broader ecosystem — infrastructure, tooling, services, and vertical applications — is likely to expand dramatically.

The real risk, Huang implied, is not that software disappears. It is that markets underestimate the scale of reinvention underway.