IBM’s latest plan to cut a small percentage of its global workforce has revived an old question across the tech industry. Are companies eliminating jobs because artificial intelligence is finally replacing workers, or are they repeating the same pattern from 2023, when early automation efforts caused IBM to lay off thousands only to rehire nearly as many months later?
On Tuesday, November 4th, IBM confirmed that a low single digit share of its 270,000 employees would be let go in the fourth quarter. A 1 percent reduction would affect about 2,700 people. While some U.S. roles may be impacted, the company said it expects domestic employment to remain flat year over year.
The announcement arrives at a moment when several large technology companies are trimming staff while accelerating investments in AI tools meant to streamline internal work. Amazon recently cut 14,000 corporate positions. Meta removed hundreds from its AI unit. Oracle paused key expansion plans. The pressure to demonstrate efficiency gains has become intense across the sector.
For IBM, the moves may appear familiar. Two years ago, the company eliminated about 8,000 roles in an automation push that included shifting 94 percent of routine HR work to an AI system known as AskHR. The initiative produced billions in productivity improvements. It also forced an unexpected pivot. Automation removed predictable tasks, but it also freed capacity that helped fuel growth in new areas, spurring a wave of hiring in software engineering, sales and marketing. The company’s overall headcount grew instead of shrank.
This week’s announcement raises the question of whether IBM is preparing for a repeat of that cycle.
Arvind Krishna, IBM’s chief executive, has said several times that AI has allowed the company to redeploy workers rather than permanently reduce staff. AI agents took over the work of roughly 200 people in HR after earlier rounds of cuts, which created demand for more technical and customer-facing jobs. He also said in May that IBM brought in more salespeople and developers because new AI-driven business lines expanded faster than expected.
Some industry leaders argue that the core narrative around AI and job loss remains too simplistic. Frank Palermo, the chief operating officer of NewRocket, said companies that adopt AI often discover that it changes the structure of work more than it eliminates positions outright. “The idea that AI is taking jobs misses the point entirely,” he said. “Automation is not replacing people, it is removing the repetitive work that keeps them from doing their best thinking.”
The distinction is becoming increasingly important for investors and corporate strategists who are trying to determine whether this round of job cuts across the tech sector represents a structural shift or a tactical move.
Many of IBM’s earlier gains came from automating transactional work. The AskHR platform handled more than 11.5 million employee interactions in 2024 alone. Yet 6 percent of requests still required a person, often for matters involving nuance, context or emotion. The company also found that as routine processes disappeared, the remaining work became more complex, pressing companies to hire for higher skill levels.
The latest workforce reductions come after IBM reported stronger than expected earnings in October, driven by a 10 percent increase in software revenue. That performance suggests that AI, hybrid cloud tools and enterprise automation remain central to IBM’s growth strategy. Analysts note that the pressure to show continued operating leverage is real, but so is the need to maintain talent in areas that drive revenue.
Some economists have compared the trend to earlier waves of automation in manufacturing. Companies that adopted robotics often reduced headcount initially, then rehired as production capacity increased, requiring more technicians, planners and quality specialists. The pattern was not a simple substitution of machines for workers. It was a reshaping of labor around new capabilities.
Investors are now watching to see whether IBM plans to rehire again once its newest AI deployments mature. If the company follows the same trajectory as 2023, today’s layoffs may look less like a retreat and more like a repositioning. Large scale automation may remove tasks, but it also changes the economics of what a company can pursue.
For workers, the uncertainty is beginning to feel cyclical. For leaders, the question is whether this round of AI driven cuts will produce the same rebound effect that caught IBM off guard in the last automation wave. The next few quarters may determine whether the industry has entered a true contraction or yet another period of strategic reshuffling.
