Are you a software engineer and afraid of getting fired because of AI? Well don’t have it. At least, that is the position of a very interested party in the conversation around artificial intelligence. By now, the name Jensen Huang will not be foreign to you. This is the CEO of Nvidia, a company that has gone from leading the GPU segment for playing video games for two decades to abandoning that market to focus on AI platforms.
We cannot say that they are doing badly, of course, and within the strategy we have a Jensen who has become one of the most important ‘evangelists’ in the artificial intelligence segment. Within the framework of the Computex 2026 fair held in Taipei and in which PC manufacturers show their new products, Jensen commented that it is foolish to be afraid that an AI will replace us at work.
The logic is that this AI will generate more jobs, but there is a question hovering over that argument: what type of jobs? If the optimism surrounding AI development is one side of the coin, the other side includes young people who cannot access jobs and companies that are firing employees to replace them with AI.
Jensen Huang is on a Mission
At Computex, Huang feels at home. Taiwan is a hub for some of the world’s most significant technology companies, including Asus, BenQ, Foxconn, Acer, and TSMC. TSMC is the engine of the chip industry, and Nvidia is its leading customer. During the fair, Huang presented new platforms, including the RTX Spark Superchip, along with expressing his opinions on the future of AI and employment.
The CEO considers that AI is positive for GDP and profits, and pointed out that it is “nonsense” to believe that AI leads to job losses in software engineering.
“The number of software engineers is actually increasing. People talk about AI reducing jobs, but it’s complete nonsense: it’s leading to more software engineers being hired” – Jensen Huang
Huang has been vocal in 2026, sharing insights during interviews and events about the benefits of AI and its positive relationship with employment. He believes “AI creates jobs” and is crucial for the U.S. to reindustrialize, asserting that blaming AI for layoffs in tech and gaming is a “lazy” perspective.
The Job Creation Debate
While Huang’s optimism is noted, there are complexities in the narrative. Saying that AI creates jobs is only part of the story. The types of jobs being created often favor those with specialized skills. Engineers and AI professionals find opportunities easily, but entry-level positions for recent graduates are dwindling.
Job openings may be at record levels, with over 67,000 in engineering and 7,300 in product roles, yet the requirements set by companies often create barriers for newcomers lacking the necessary expertise.
Moreover, large companies like Amazon and Microsoft have cited AI efficiency as a reason for layoffs—16,000 and 15,000 respectively. Heavyweights like Dario Amodei of Anthropic suggest that AI could eliminate half of entry-level jobs, with studies projecting nearly 55,000 layoffs in the U.S. by 2025.
Huang finds such assessments “ridiculous,” asserting that it won’t be AI causing job losses but rather individuals who adapt to using AI more effectively. He claims AI has created 500,000 jobs in the past two years.
Currently, two currents are emerging: AI optimists and a Generation Z that resists AI integration into their lives and workplaces. Many young graduates face unemployment, leading to a unique situation where they express discontent with AI evangelists, demonstrating a broader skepticism towards the technology.
In summary, while the future of AI in job creation is optimistic according to Huang, the reality for many young people is fraught with challenges, raising questions about the evolving landscape of work.