Nvidia CEO Jensen Huang says the rise of agentic AI is not shrinking opportunities for software developers, but expanding them. Speaking at Computex, he described the current period as an “incredible time” to be building software, arguing that AI systems are increasing overall demand for digital tools and applications.
His comments come as concerns grow about the impact of AI on employment, particularly in software engineering and knowledge-based roles. Industry forecasts suggest rapid growth in both AI and software-related jobs over the next decade, even as automation expands.
AI agents are increasing demand for software tools
Huang said that the emergence of agentic AI systems will significantly expand the number of software tools being used across industries. Rather than replacing developers, he argued, these systems will require far more applications and integrations to function effectively.
“The world will not be limited by the number of people,” Huang said during his keynote. “Therefore, those agents are going to use more tools than ever.”
His view contrasts with concerns raised by some workers who fear job displacement. Surveys show a significant portion of employees remain uncertain about how AI will affect their roles, particularly as autonomous systems become more capable.
However, Huang emphasized that software must still be built and structured in ways that AI systems can use, meaning human developers remain central to the process.
Job forecasts still point to growth in software roles
Despite concerns about automation, labor market projections continue to show strong demand for software-related roles. The U.S. Bureau of Labor Statistics expects software developer employment to grow significantly between 2024 and 2034, outpacing many other occupations.
Research from the World Economic Forum also places AI specialists and software developers among the fastest-growing job categories globally.
Studies on agentic AI usage further suggest that knowledge workers are already using these systems primarily to enhance productivity and support learning rather than replace core responsibilities.
Huang concluded that fears of widespread job loss may be overstated, arguing instead that improved AI capabilities are likely to increase demand for engineers as companies build more complex and capable systems.
