Nvidia CEO Jensen Huang said artificial intelligence is creating an enormous number of jobs rather than replacing them during an interview at Computex 2026.
This perspective counters widespread fears that automation will eliminate professional roles. By framing AI as a productivity multiplier, Huang suggests that the technology expands the capacity for innovation and the demand for skilled labor.
Speaking in Taipei, Taiwan, Huang said the idea that AI is reducing the workforce is incorrect. "People talk about AI reducing jobs. Complete nonsense," Huang said [1]. He said the technology is a job creator rather than a destroyer [3].
To support his claim, Huang pointed to the activity of software engineers. He said the number of software commits on GitHub has nearly tripled in the early months of 2026 [1]. This surge in activity, he said, demonstrates that "agentic" AI tools are enabling developers to produce more code and complete projects faster [4].
According to Huang, this increase in productivity does not lead to fewer employees. Instead, it allows companies to tackle larger, more complex problems that were previously impossible or too expensive to address. This expansion of capability creates a need for more developers to manage and integrate these new systems [4].
The CEO's comments come as workers across various sectors express concern over AI-driven displacement. However, Huang said the shift in how work is performed will ultimately lead to a net gain in employment opportunities [3].
“"People talk about AI reducing jobs. Complete nonsense."”
Huang's argument relies on the economic theory of induced demand, where increased efficiency lowers the cost of a service and subsequently increases the total demand for it. If AI allows a developer to do three times the work, the theory suggests companies will not fire two-thirds of their staff, but will instead triple the amount of software they aim to build. The validity of this claim depends on whether the global appetite for software continues to grow at a rate that matches the productivity gains provided by agentic AI.
