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IBM’s AI Overhaul: Laying Off Thousands Only to Hire New Talent for Creative Roles

In 2023, IBM grabbed headlines by cutting over 8,000 jobs, primarily affecting its human resources department. This decision was part of a larger AI integration plan centered around AskHR, an internal AI chatbot designed to streamline tasks such as payroll management, vacation approvals, and benefits processing. IBM leadership portrayed this initiative as essential for enhancing efficiency and reducing expenses.

The approach seemed successful initially. Within a year, IBM announced a $3.5 billion uplift in productivity spanning more than 70 different roles. This milestone was widely heralded as evidence that AI was not just a technological shift, but a crucial business advancement.

However, the subsequent development caught many off guard: IBM began recruiting again—in significant numbers. This hiring wave targeted fields like software development, sales, and marketing—areas demanding human ingenuity and nuanced judgment.

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Strategic Shift: AI Unlocked Funds for New Talent, Not Job Cuts

IBM’s CEO, Arvind Krishna, spoke to The Wall Street Journal, clarifying that the savings from automating administrative duties were redirected toward hiring roles with greater strategic value. “Our total workforce has actually expanded,” he explained. “AI provides opportunities to invest in other critical areas.”

Put simply, while machines absorbed repetitive tasks, fresh demands arose—tasks AI couldn't master. Though the company’s AI fielded more than 11.5 million employee inquiries in 2024 alone, it fell short in activities such as negotiating deals, crafting user experiences, and interpreting subtle customer feedback.

Insights from McKinsey & Company reinforce this trend, indicating AI frequently transforms how workforces operate rather than eliminating jobs. Their research suggests that while up to 30% of duties in various occupations might become automated, this shift typically leads to redeployment of personnel, not mass layoffs.

Human Expertise Remains Crucial in an AI-Driven Environment

IBM’s case highlights the boundaries of AI-driven automation. Despite the widespread use of AskHR, about 6% of employee queries still needed human intervention, particularly for complex or sensitive matters requiring empathy or discretion.

Customer experience metrics also improved: the AskHR system helped raise IBM’s internal Net Promoter Score (NPS) from -35 to +74, an extraordinary gain in any context. Yet executives emphasized that AI complements rather than replaces human roles, serving primarily as an efficiency enhancer.

Krishna candidly addressed fears about AI’s impact on jobs, countering doomsday predictions. “AI will indeed automate some responsibilities,” he acknowledged. “But it will also generate entirely new types of positions.”

This outlook contrasts with cautionary statements from figures like Dario Amodei, CEO of Anthropic, who warned AI might remove up to half of entry-level white-collar roles. Krishna dismissed these projections as overblown, pointing out that many estimates overlook internal workforce shifts companies undertake.

Could IBM’s Strategy Guide Future AI Workforce Models?

IBM’s experience may provide valuable lessons for organizations adapting to the evolving AI landscape. According to a 2025 report from Harvard Business Review, businesses that treat AI as a collaborator rather than a replacement tend to achieve more sustainable outcomes.

Other industry leaders are paying attention. Companies like Google, Microsoft, and Spotify have adopted selective automation strategies, prioritizing operational efficiency without sacrificing investment in human creativity and innovation.

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