Tech companies cut nearly 154,000 jobs in the first half of 2026, while many still hire for AI skills.
AI is not always the true reason for job cuts, as many firms admit to "AI washing".
Entry-level roles face the most pressure, so reskilling and honest planning matter for workers and employers.
AI layoffs and AI hiring now sit side by side in most large companies. Firms cut roles in one team and add new ones in another. This is workforce restructuring, and it is moving fast. Global tech companies cut nearly 154,000 jobs in the first half of 2026. Many of them are still hiring for AI skills. This article looks at the numbers, the reasons behind them, and what they mean for workers.
Oracle leads the list with more than 25,000 job cuts this year. Microsoft cut about 5,500 roles, which is roughly 2.5% of its 220,000 staff. Meta and Cognizant linked their cuts directly to AI.
One analysis counted over 39,000 AI-driven tech layoffs so far in 2026, nearly half of 84,223 tracked cuts. Social media platforms shed more than 4,000 roles since January. Another report found that AI was named in about 23% of all job cut announcements in 2026.
Laid-off staff and new hires often sit in different parts of the same company. Analysts say open roles are moving toward platform engineering, data work, and AI deployment. They are not simple replacements for the jobs that were cut.
Resume.org found that 92% of companies plan to hire in 2026, even though 55% expect layoffs. This shows that hiring and firing are happening at the same time. Software firms such as Autodesk and Intuit are also reshaping teams around AI.
Not every layoff comes from AI. One expert, Savisheva, warns about "AI washing", where firms point to AI while fixing pandemic-era over-hiring or weak business choices. A Resume.org survey of 1,000 US hiring managers supports this view. Nearly 6 in 10 companies said they frame layoffs or hiring slowdowns as AI-driven, since it plays better with stakeholders. Only 9% said AI had fully replaced certain roles, while 45% said it partly reduced the need for new hires.
A 2026 Motion Recruitment study, reported by CNBC, found that AI is slowing hiring for entry-level and general IT roles. It is not removing senior staff in large numbers. JobsPikr data adds more detail. Tech layoffs passed 45,000 in the first quarter, with Amazon making up 52% of them. Resume.org's findings suggest firms use AI more as a hiring slowdown tool than as a full worker substitute.
Experts say the real question is how to adopt AI responsibly, in a way that supports both growth and workforce stability. Employers can retrain staff before they cut roles. Workers can learn AI tools and build skills in areas where budgets are heading.
One analysis said nearly every major tech firm invests heavily in AI, though not all admit it drives their cuts. In many cases, AI is one factor among several, including cost control and changing priorities. Companies should also be open about the real reasons for job cuts, since honest talk protects trust. Smaller firms can start with one team and measure results before making wider changes.
AI layoffs and AI hiring are two sides of the same shift. Companies are moving money and people toward AI, and some roles lose out along the way. The data shows real job cuts, but it also shows that AI is not always the true reason behind them. Workers who build new skills and employers who plan with care will be in the best position as workforce restructuring continues.
1. What are AI layoffs?
AI layoffs are job cuts that companies link to AI adoption, automation or a shift in spending toward AI.
2. Are companies still hiring while they lay off staff?
Yes. Many firms cut roles in some teams and hire in others, mainly in AI, platform engineering and data work.
3. What does AI washing mean?
It means a company blames AI for job cuts when the real reasons are cost control, over-hiring or weak business plans.
4. Which jobs face the most pressure from AI?
Entry-level and general IT roles are seeing slower hiring, according to a 2026 Motion Recruitment study.
5. How can workers prepare for AI-led restructuring?
They can learn AI tools, build skills in areas where company budgets are growing, and keep up with hiring trends in their field.