As headlines increasingly link artificial intelligence to sweeping job cuts across Silicon Valley, IBM CEO Aravind Krishna offers a more measured explanation. In a recent interview with The Verge, Krishna argued that today’s wave of layoffs is driven less by AI disruption and more by a long-overdue correction following aggressive pandemic-era hiring.

Between 2020 and 2023, companies across the tech industry scaled their workforces at an unprecedented pace to meet surging digital demand. Krishna described this phase bluntly, saying businesses had “gorged on employment,” with some expanding headcount by 30, 40, 50, and even 100 percent. As global demand normalized and growth projections were recalibrated, many firms found themselves overstaffed.

“This is a natural correction,” Krishna explained, comparing the business cycle to an underdamped engineering system that temporarily overshoots before settling into equilibrium. According to him, current layoffs reflect this adjustment process rather than a mass displacement driven by automation.

AI Will Displace Jobs—But Not at Apocalyptic Levels

While pushing back against sensational narratives, Krishna did acknowledge that AI will impact employment. He estimates that up to 10 percent of the U.S. workforce could face displacement over the next few years due to AI adoption. However, he emphasized that this impact will be concentrated in specific sectors and job categories, particularly routine and narrowly defined roles.

“It’s not 30 or 40 percent,” Krishna said, countering more extreme forecasts. “But it is up to 10 percent of the total U.S. employment pool.”

Productivity, Job Evolution, and New Opportunities

Krishna framed AI primarily as a productivity enhancer rather than a job-destroyer. As automation handles repetitive tasks, companies will increasingly look to hire employees for roles centered on creativity, strategic thinking, oversight, and complex decision-making.

He noted that internal discussions at companies already reflect this shift, with AI agents being considered for entry-level functions. However, he urged business leaders to think beyond cost-cutting and focus on how human talent can be redeployed into higher-value roles.

“As you become more productive, companies will hire more people—but in different places,” Krishna said.

Implications for Workers and Policymakers

Krishna’s perspective points to several critical takeaways:

Layoffs are largely cyclical, driven by post-pandemic market correction rather than pure AI replacement.

Job roles will evolve, especially as routine tasks become automated.

Reskilling and workforce training will be essential to help workers transition into AI-complementary roles.

Targeted policy support, including safety nets and upskilling programs, could ease the social impact of workforce shifts.

A Counter to AI Doom Narratives

Krishna’s comments challenge the growing fear that AI alone is responsible for mass unemployment. Instead, he positions AI as an accelerant of change—not the root cause of current job losses. The real trigger, he argues, was extraordinary pandemic-era overexpansion followed by economic normalization.

While AI will undoubtedly reshape industries and professions, Krishna believes the labor market can ultimately absorb its productivity gains—if businesses, workers, and policymakers adapt intelligently.