NVIDIA CEO Defends Software Tools Amid AI Automation Fears

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Jensen Huang, Founder, President and CEO of NVIDIA
Jensen Huang argues AI wonโ€™t make traditional software tools obsolete, countering concerns as the tech market faces uncertainty and rapid change

NVIDIA's CEO has sought to reassure the technology sector that AI will not render software tools redundant, even as global markets react to the rapid advancement of AI automation capabilities.

Jensen Huang made the comments at Cisco Systems' AI conference in San Francisco, addressing growing investor concerns that sparked a sharp selloff in software, legal tech and IT services stocks.

The market turbulence followed Anthropic's release of new specialised plug-ins for its Claude Cowork agent, designed to automate complex white-collar tasks.

According to Jensen, the notion that AI will replace software tools is fundamentally flawed.

"You could tell because there's a whole bunch of software companies whose stock prices are under a lot of pressure," he says, "because somehow AI is going to replace them. It is the most illogical thing in the world and time will prove itself."

The NVIDIA Founder explained his position by emphasising that AI systems, whether human or robotic, will continue to rely on existing software infrastructure.

"If you were a human or robot, artificial general robotics, would you use tools or reinvent tools?" he says. "The answer is obviously to use the tools."

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Understanding physical causality

Speaking alongside Chuck Robbins, Chair and Chief Executive of Cisco, Jensen outlined how future AI development will focus on understanding the physical world and causality.

He explained that current AI systems cannot grasp concepts such as a domino effect, where knocking over one piece causes a sequential chain reaction.

This limitation represents a significant gap in current AI capabilities.

While today's systems excel at pattern recognition and language processing, they struggle to model the physical interactions that humans intuitively understand from early childhood.

Chuck Robbins, CEO of Cisco

Jensen predicts that the next frontier in AI development will centre on understanding cause and effect relationships and predicting outcomes.

"The industry that Chuck and I have been part of is about creating tools," he says.

"We have been in the screwdriver hammer business. For the first time in history, we are going to create what people call labour, but augmented labour."

The executive illustrated this shift with the example of autonomous vehicles, suggesting that a digital chauffeur represents a more advanced concept than a self-driving car because its operational lifetime could be timeless.

Jensen added that this evolution is part of a broader transition to becoming technology-first.

"You're dealing with electrons, not atoms and electrons โ€“ there's a lot more of them," he says.

Jensen Huang, NVIDIA President, CEO and Founder

NVIDIA's continued AI investments

The chip manufacturer has maintained its aggressive investment strategy in AI development, backing Series funding rounds for startups, including Synthesia, in early 2024.

Beyond emerging companies, Jensen has confirmed plans to continue investing in OpenAI, despite speculation about tensions between the two firms.

NVIDIA's investment portfolio reflects its broader strategy to support the entire AI ecosystem, from foundational infrastructure to application-layer innovations.

This approach positions the company across multiple segments of the rapidly evolving AI market.

Speaking to CNBC, Jensen dismissed rumours of disagreements as "complete nonsense".

"There's no drama involved. Everything's on track," he says.

"We love working with OpenAI. We are incredibly honoured and delighted to be able to invest in their next round. And so we're privileged that they're inviting us to invest for each one of their rounds."

The comments signal NVIDIA's long-term commitment to advancing AI infrastructure while maintaining the role of traditional software tools.

According to Jensen, this approach involves utilising existing software tools to build the next generation of AI capabilities, rather than replacing the technology stack entirely.

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