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There’s no doubt that AI has become an important tool in many roles, but the fear that it is replacing human jobs never seems to go away. As the head of the world’s leading AI hardware company, Nvidia CEO Jensen Huang has been keen to downplay these worries. In his latest GTC keynote, just ahead of Computex, Huang says the fear is “complete nonsense”.
This isn’t the first time the Nvidia boss has commented on the role of AI in the workplace. He has previously claimed that artificial intelligence itself won’t take your job, but someone capable of using these tools will. In the Nvidia GTC Taipei keynote earlier today, Huang demonstrated GitHub’s massive growth following the advent of AI.
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“Useful AI has arrived,” says Huang during the Nvidia GTC keynote, pointing towards the massive growth of pull requests, commits, and new repositories (repos) on GitHub, the most widely used version control platform on the web. It is commonly used for open-source public development, while offering private repos for those developing closed-source software, too.
Huang points out that GitHub commits (an update/changes to project files) have “nearly tripled” in the first few months of 2026, up from 300 million in 2023, 400 million in 2024, and 500 million in 2025. Thanks to the incredible output aided by AI, “people want to hire more software engineers,” says the Nvidia boss.
He says 30 million software developers represent “about $3 trillion worth of GDP” – meaning $3 trillion of salaries for these devs per year, generating economic growth for many industries. Based on the GitHub stats, with three times as much output as last year, “it’s effective $9 trillion of productivity from $3 trillion of salaries,” Huang says.
“The difference is absolutely extraordinary. This is the potential. This is the promise of AI. The number of software engineers is actually increasing. People talking about AI reducing jobs – complete nonsense. It’s causing more software engineers to be hired, and the reason for that is very simple.
If you can hire a software engineer and you can generate $9 trillion worth of productive work, why wouldn’t you want to hire more software engineers?”
ChatGPT was released at the tail end of 2022, and since then, the platform (and rival AI tools) have developed into a much more reliable resource for software engineers to quickly develop code. One engineer at OpenAI claimed earlier this year that 100% of their (personal) code is AI-generated, for example.
Not everyone is too keen on the increased productivity that comes with quicker code production. In the world of game development, maintainers of the open-source game engine Godot have complained about “AI slop” pull requests on their GitHub, leaving maintainers swamped with much more admin work. Developers of the most popular PS3 emulator, RPCS3, also had to ask people to stop submitting “AI slop code” to its GitHub – and to carefully review the code before uploading.
AI-generated code has become much more accepted, though it’s fair to say there needs to be a balance of quantity and quality. Even the Linux kernel allows AI-generated code these days, as long as human-reviewed. Just because it was created with the help of AI, that doesn’t mean the submitter is free from responsibility for any bugs it creates.
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