Jensen Huang says software engineers prefer building AI agents over writing Python code

Nvidia CEO Frames Shift in Software Engineering as Promotion

Jensen Huang, the CEO of Nvidia, revealed this week that his software engineers are writing less code than ever before—and they couldn't be happier about it1

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. In an interview published by the company on Wednesday, Huang said that engineers would rather build AI agents than write Python code, a transformation he describes as a promotion rather than a job threat2

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. "These agentic systems are new skills, and now we have a lot of software engineers building agents," Huang explained. "If you ask me, every one of my software engineers prefers to be building agents than to be writing Python code"1

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From Mundane Coding to Creative Agent Design

The distinction Huang draws centers on the nature of engineering work itself. The typing part of the job—the mundane work of turning an idea into syntax—is now something an AI agent can handle1

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. "You're taking all the mundane work, and you're trying to get this agent to do it," Huang said. "That requires imagination, that requires creativity, a lot of technology"2

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. Instead of churning out lines of code, Nvidia engineers now spend their days designing agentic systems, writing benchmarks, and developing guardrails that keep those systems in check1

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. An AI agent breaks a large goal into smaller steps, allowing software to plan and act rather than simply respond to a single prompt1

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AI is Creating Jobs, Not Cutting Them

Where Huang parts company with several tech leaders is on employment impact. He rejected warnings that AI will hollow out white-collar work, insisting instead that AI is creating jobs across the industry1

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. "The amount of work that we have to do to bring AI into the world is really quite incredible," he said. "So it's creating a whole bunch of jobs. And, my software engineers love this"1

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. This optimism contrasts sharply with warnings from Anthropic CEO Dario Amodei and Amazon boss Andy Jassy, both of whom have cautioned that AI could eliminate entry-level and administrative positions1

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. Huang has consistently maintained that "AI creates jobs" and represents "the United States's best opportunity to re-industrialize ourselves"1

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Nvidia's Strategic Push into the Agent Economy

Huang, who cofounded Nvidia in 1993, has become one of the loudest advocates for deploying AI assistants inside companies1

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. He has repeatedly floated a future in which Nvidia deploys agents across every division to lift productivity, an ambition that aligns neatly with selling the chips and platforms that power them1

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. Nvidia has spent the past year positioning itself as the infrastructure beneath the agent economy, and a workforce that builds agents is also a workforce that consumes ever more compute1

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. The company recently cited stronger-than-expected AI infrastructure demand and raised its long-term growth outlook2

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. Microsoft's AI business has already surpassed $37 billion in annual recurring revenue, while AWS has expanded partnerships to include access to OpenAI models2

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. For now, the pitch lands as much with investors as with staff—a company whose own engineers reach for agents by default serves as a persuasive advertisement for the hardware Nvidia sells1

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