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American Focus > Blog > Economy > 87,714 Jobs Have Already Been Lost This Year To AI, But Billionaire Nvidia CEO Jensen Huang Says AI Taking Jobs Is ‘Complete Nonsense’
Economy

87,714 Jobs Have Already Been Lost This Year To AI, But Billionaire Nvidia CEO Jensen Huang Says AI Taking Jobs Is ‘Complete Nonsense’

Last updated: June 11, 2026 11:05 pm
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87,714 Jobs Have Already Been Lost This Year To AI, But Billionaire Nvidia CEO Jensen Huang Says AI Taking Jobs Is ‘Complete Nonsense’
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Jensen Huang, the CEO of Nvidia, recently made waves with his bold statement that the idea of artificial intelligence (AI) reducing jobs is “complete nonsense.” In an interview with Bloomberg, Huang argued that rather than eliminating jobs, AI could actually create a demand for more software engineers, as each engineer could potentially produce more with the help of AI technology.

One of the most striking aspects of Huang’s argument is the productivity potential of AI. He painted a vivid picture of a single AI-enabled engineer being able to produce an astounding “$9 trillion worth of productive work.” This extreme example serves to highlight the idea that as the output ceiling rises with AI, the demand for engineering work may actually expand.

However, while Huang’s argument may seem compelling in theory, the reality of the current job market paints a different picture. Many companies are citing AI as a direct reason for workforce reductions. For example, IBM announced a pause in hiring for back-office roles that could be replaced by AI, while Dropbox and Duolingo made significant workforce cuts as they embraced AI for various tasks.

The trend of AI-driven layoffs is not limited to a few companies. In fact, Challenger, Gray & Christmas reported that AI was cited as a reason for over 54,000 announced layoffs in 2025 and over 87,000 cuts in 2026. Goldman Sachs estimates that around 11,000 jobs per month are being lost due to AI.

Even more concerning is the fact that after companies announce AI-related layoffs, their stock prices often see significant gains. This creates a direct incentive for companies to continue downsizing in the name of AI efficiency.

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In conclusion, while Jensen Huang’s optimism about AI creating more work in the long run is a valid point, the short-term reality for many workers is one of anxiety and job insecurity. The impact of AI on the workforce is a complex issue that requires thoughtful consideration and proactive solutions. Only time will tell how the integration of AI into various industries will ultimately shape the future of work.

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