NVIDIA CEO Jensen Huang said concerns that artificial intelligence will reduce software engineering jobs are "complete nonsense" during a keynote in Taipei.
This assertion challenges the prevailing narrative that generative AI will automate coding roles and lead to mass layoffs in the tech sector. By arguing that AI increases the demand for human developers, Huang suggests a shift in how companies value technical labor.
Speaking Monday at the GTC Taipei 2026 keynote, which was held alongside Computex, Huang said that AI is prompting companies to hire more software engineers [1, 2]. He said the idea that AI eliminates these roles is a misconception, and that the technology is creating more opportunities rather than erasing them [1, 4].
Huang based his argument on the relationship between productivity and cost. He said that if hiring software engineers can generate $9 trillion worth of productive work from $3 trillion in salaries [1, 5], companies will naturally want to hire more engineers to maximize those returns [1, 5].
"People talk about AI reducing jobs. Complete nonsense," Huang said [1].
According to Huang, the productivity gains provided by AI do not replace the need for human oversight, or architectural design. Instead, the increased efficiency allows companies to undertake larger, more complex projects that require a larger workforce to manage [1, 3].
"We're seeing AI actually create more software-engineering jobs, not eliminate them," Huang said [4].
“"People talk about AI reducing jobs. Complete nonsense."”
Huang's perspective reflects a 'Jevons Paradox' application to software engineering, where increasing the efficiency of a resource actually increases the total consumption of it. By lowering the cost of producing code, AI may expand the total volume of software projects globally, thereby increasing the aggregate demand for engineers despite the higher productivity per person.
