Jensen Huang Slams Executives Using AI as a Lazy Excuse for Layoffs

Nvidia CEO Challenges the AI Layoffs Narrative

Jensen Huang has delivered a sharp rebuke to tech leaders who justify workforce reductions by blaming AI for layoffs. Speaking to Channel News Asia, the Nvidia CEO called this narrative "just too lazy" and questioned how companies could claim AI-driven job losses when the technology only became productive recently1

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. "AI has just arrived, how is it possible they're already losing jobs?" Huang asked, pointing out the logical inconsistency of executives citing AI as the reason for cuts made two years ago2

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. His comments come as AI and job losses dominate headlines, with executive coaching firm Challenger, Gray & Christmas reporting that AI drove 25% of job cuts in March2

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The Real Culprits Behind Workforce Reductions

Huang didn't mince words about what he believes drives these decisions. "It was just a way for them to sound smart and I really hate that," he stated, arguing that executives are misleading investors rather than addressing the true causes1

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. The reality involves soaring costs from AI investments, mismanagement, and over-hiring during the COVID-19 pandemic. This year has already seen 49,135 job cuts attributed to AI, putting 2026 on pace to exceed the record 55,000 AI-related reductions in 20253

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. Companies like Meta laid off 10% of its workforce to offset heavy spending on AI initiatives, with plans for a $145 billion spend on AI this year2

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. Block CEO Jack Dorsey cut 40% of his workforce, citing AI, though former staffers argued the cuts stemmed from over-hiring rather than automation gains1

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AI's Impact on Employment and Productivity

The Nvidia CEO emphasized that using AI as a lazy excuse for layoffs is "irresponsible" because "we're scaring people"1

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. He urged leaders to discuss AI's impact on employment more carefully, recognizing both its potential and the need for safeguards3

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. Huang remains optimistic that ambitious companies will use AI to boost productivity and velocity, ultimately becoming larger and more profitable—leading to more hiring, not fewer jobs1

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. "Of course, they'll use more AI, but they will also hire more people," he explained. This marks a shift from his 2023 CNN interview warning that productivity gains could translate to job loss if the world runs out of ideas1

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Industry Leaders Echo Concerns About Misplaced Blame

Huang isn't alone in challenging the AI layoffs narrative. Google DeepMind CEO Demis Hassabis recently accused leadership at other companies of a "lack of imagination" for blaming workforce reductions on AI1

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. Recent examples of companies citing AI include Standard Chartered cutting 7,000 jobs to replace "lower-value human capital" with technology, Atlassian reducing its workforce by 10% (roughly 1,600 employees), Cisco laying off up to 4,000 people while reorganizing around AI, and Cloudflare cutting more than 1,100 jobs as it restructures for the "agentic AI era"2

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. As marketing publication State of Brand noted, "This is the people selling the shovels telling the miners to stop blaming the shovels for the cave-in"1

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. For the job market, this represents a critical moment where transparency about the true drivers of workforce changes will shape how workers and investors view AI's role in business transformation.