Tech Giants Announce Major Layoffs Citing AI
A wave of layoffs is impacting the tech sector, with Microsoft reportedly preparing for significant workforce reductions, especially in management. Amazon is also set to cut 14,000 managers, part of a broader trend where companies are criticized for using AI as a justification for cost-driven downsizing.
- In 2025, companies directly cited artificial intelligence as the reason for over 54,000 job cuts in the US. So far in 2026, at least 30,700 tech roles have been eliminated globally as companies restructure around AI and automation. - Some executives are transparent about AI's role in workforce reduction. Salesforce CEO Marc Benioff stated that AI is doing "up to 50% of the work" at the company, leading to the reduction of 4,000 customer support roles. Similarly, Microsoft's CEO Satya Nadella noted that AI contributes to 20-30% of the code written at the company, which has eliminated 15,000 jobs this year. - The trend extends beyond typical tech companies to include finance, consulting, and media. IBM, for instance, has cut nearly 9,000 jobs, primarily in human resources, as AI automates administrative tasks. - OpenAI CEO Sam Altman suggests some companies may be using AI as a convenient excuse for downsizing, a practice he calls "AI washing." This sentiment is echoed by some analysts who believe many companies over-hired during the pandemic and are now using AI to justify necessary cuts. - The layoffs are often framed as a strategic reallocation of resources to fund major AI initiatives, rather than a direct replacement of humans by AI. This includes large investments in data centers, chips, and energy to power AI systems. - While some roles are being eliminated, companies like IBM are simultaneously hiring for positions that require more complex skills such as engineering and sales. Research indicates that as firms invest in AI, they tend to hire more educated and technically skilled workers. - The impact of these changes is particularly noticeable for early-career professionals. A Stanford study using ADP payroll data found a 6% decline in employment for 22- to 25-year-olds in jobs with high AI exposure between late 2022 and July 2025. - Despite the current focus on layoffs, some analysts predict a course correction. Gartner forecasts that by 2027, half of the companies that attributed headcount reductions to AI will rehire staff for similar functions as they encounter the limitations of artificial intelligence.
