AI Layoffs 2026: Statistics and Report on the Real Reasons Behind Job Cuts

We analyzed tech layoffs, Fortune 500 companies, and hundreds of sources and found that AI is often blamed but rarely the real reason behind job cuts. AI is now cited in 1 in 5 US job cuts.

[November update]

AI layoffs have become one of the most discussed topics in tech. Headlines often suggest that artificial intelligence is replacing workers at scale. But when you look at the data more closely, the story is far less straightforward.

We analyzed tech layoffs, Fortune 500 companies, and hundreds of sources to understand what’s really driving job cuts in 2025–2026. The results challenge the common narrative, and the 2026 data adds a twist: companies now blame AI far more often than they did a year ago.

Here’s a summary of our research:

• In the first nine months of 2026, US employers announced 573,195 job cuts. AI was cited for 120,136 of them (21%), making it the most common reason of the year.
• There were a total of 1.2M layoffs in the US in 2025
• Only 55,000 of them (4.5%) were attributed to AI
• 92% of the companies that conducted these layoffs still grew their headcount
• About 1 in 5 US workers laid off or replaced by AI say they were later asked to come back.

Read on to discover the full picture.

Employees losing their jobs because of AI is probably one of the most discussed topics over the last one or two years. But what is the reality? Is the threat real, or are AI layoffs just a strong media narrative and cool PR topic? 

We analyzed data from dozens of trusted sources such as Macrotrends, JPMorgan, Layoffs.fyi, Business Insider and others, and created a trustworthy dataset that helps you understand what is really happening in the job market.

AI layoff statistics 2025–2026

In 2026, AI went from a side note to the most common reason companies give for layoffs. In the first nine months of the year, US employers cited AI for 120,136 job cuts, more than twice as many as in all of 2025.

In other words, layoffs due to AI in 2026 have already passed 120,000 in the US, more than twice the total for all of 2025.

From March to July 2026, AI was the most common reason US employers gave for job cuts. In May 2026, it was behind almost 40% of announced cuts. By September, the pace had slowed sharply: AI was cited for 3,961 cuts that month, about 9% of the total. Tech companies account for 165,925 of this year’s cuts, about 29%.

Tech layoffs in September 2026

In September 2026, tech companies announced 10,799 job cuts. That was about 25% of all 43,281 US job cuts that month, and 77% more than in August, according to Challenger’s September report. Across all industries, AI was cited for 3,961 of September’s cuts, about 9%.

In 2025, 1.2 million employees lost their jobs in the US. Of these, only 55,000 layoffs were attributed to AI - just 4.5% of the total. The fear of AI replacing employees is huge. But is it really happening? Will it happen in the future? J.P. Morgan Asset Management challenges the strong media narrative about AI replacing people. In their study they find the main drivers of layoffs are traditional factors: cost-cutting, slower demand, restructuring, and post-pandemic normalization - not automation. They also state that the current “AI layoffs” narrative is partly overstated or misattributed, with firms sometimes using AI as a convenient explanation for broader business decisions.

JP Morgan is not the only source challenging the paradigm. A recent research briefing from Oxford Economics suggests that companies often use AI as a “PR explanation” for layoffs that are actually caused by overhiring or weak demand, because blaming AI sounds better to investors than admitting poor business decisions. Right now it looks like the AI adoption is still more experimental than transformative when it comes to the labor market. So far, changes in the job market appear to be evolutionary rather than revolutionary.

Another interesting study comes from Harvard Business Review. In short it says layoffs linked to AI today are largely speculative, driven by strategy, cost-cutting, and signaling to investors rather than by proven, real-world impact of AI on jobs.

Companies that cut jobs because of AI are asking workers to come back

There are signs that some companies moved too fast. In a June–July 2026 survey by SHL of more than 1,000 US workers, nearly 1 in 5 said they had been laid off or replaced by AI and then asked to return to their old employer. An earlier Orgvue report from March 2026 found that 32% of organizations that let people go because of AI later had to rehire.

At the same time, companies are still hiring. In its July 2026 report, Challenger found that employers planned 25% more hires than a year earlier. “While AI is shifting the labor market, it is not dismantling it,” said Andy Challenger.

Fortune 500 Layoffs

On the other hand, it is fair to say that some of the Fortune 500 companies did cut a significant number of jobs, and some roles might be affected much more easily than others. Let’s have a look at a couple of examples.

Companies that cited AI in their 2026 layoffs

Since January 2026, more companies have named AI when announcing cuts. Some say AI is doing the work; others say they are cutting costs to pay for AI. The biggest ones:

Salesforce layoffs

According to Business Insider and its sources, Salesforce cut nearly 1,000 positions in the beginning of 2026. Salesforce CEO Marc Benioff said in August 2025 that the company used AI agents to reduce its support staff from 9,000 to 5,000.

Customer support roles are generally one of the easiest to replace. As shown in our recently published AI Replaceable Index, which we used to evaluate whether AI could replace CTOs, it meets all the key criteria for replaceability: clearly defined input/output, the ability to learn from past data, and strong data availability.

In simple terms, an AI chatbot that can go through company documentation, resolve customer tickets, and determine whether the proposed solution was successful is relatively easy to build.

That’s why it’s reasonable to expect that customer support roles will increasingly be replaced by AI over time - or at the very least, the same number of employees will be able to handle significantly more tickets.

Atlassian layoffs

Atlassian announced it will lay off around 1,600 employees, roughly 10% of its workforce, as part of a shift toward AI and enterprise sales. The company says AI is not directly replacing workers, but it is changing the skills needed and how teams are structured. The layoffs are part of a broader restructuring to improve efficiency and invest more heavily in AI.

Paycom layoffs

Paycom announced it will lay off more than 500 employees, mainly in back-office roles, and replace them with AI systems. The company says these roles were automated after investing heavily in AI and automation. At the same time, Paycom is still hiring in sales and other client-facing positions. The layoffs show a clear case where AI is directly replacing certain types of jobs.

Oracle layoffs

Oracle is the clearest 2026 case of a company saying openly, in an official document, that AI replaced jobs. It began cutting jobs in March 2026, about 21,000 roles over 12 months, or 13% of staff. In its June annual filing, Oracle said the adoption of AI across its operations had resulted in workforce reductions. At the same time, it is spending heavily on AI data centers.

Amazon layoffs

Amazon said in October 2025 it would cut around 14,000 corporate jobs, about 4% of its workforce, as the company increases spending on AI while reducing costs in other areas. According to a letter sent to employees, most workers will have 90 days to find a new role inside the company. Does it mean employees are replaced by AI? Surprisingly, it does not.

In January 2026, Amazon cut another 16,000 corporate jobs, again framed as removing layers and bureaucracy. CEO Andy Jassy had said earlier that as AI spreads, “we will need fewer people doing some of the jobs.” Even so, Amazon’s total headcount grew from 1,556,000 to 1,576,000 between 2024 and 2025.

Microsoft layoffs

There have been significant turbulences when it comes to layoffs at Microsoft over the past several years. Microsoft rapidly increased its headcount during 2020–2022, and in 2023 it had to make a correction, laying off 10,000 employees. 2024 brought smaller cuts, but in 2025 and 2026 there were again major layoffs: about 15,000 in 2025 and about 4,800 in July 2026, followed by a voluntary exit offer to 60,000 employees in October 2026. Microsoft also faced and denied several rumors circulating online. Since these layoffs were quite significant, we conducted in-depth research on the topic and recently published a report—you can find the Microsoft layoffs report and statistics here.

The AI Layoffs Paradox: 92% of Companies Still Grew Their Headcount

While some companies were cutting jobs, they did not reduce their overall headcount. This suggests that fears of AI significantly reducing jobs are - at least for now - exaggerated.

For example, Salesforce, which announced large layoffs, still increased its year-over-year headcount. The company had 72,682 employees at the end of 2024 and 76,453 at the end of 2025 (a 5.19% increase).

A similar pattern can be seen at Amazon, which grew from 1,556,000 employees in 2024 to 1,576,000 in 2025.

Selected examples of companies that announced layoffs — and how their total headcount still changed year over year.

Conclusion

AI is clearly changing how companies work, but it is not the main reason behind most layoffs - at least for now. In many cases, companies are cutting some roles while still growing overall.

That is still true in 2026, but the gap is closing. AI is now the reason companies give most often, cited in about 1 in 5 US job cuts. Whether AI is really doing the work is less clear: many of the same companies are still growing, and some are already rehiring.

So instead of a wave of job losses caused by AI, what we are seeing is a shift in how companies hire and structure their teams.

We will continue tracking this trend and publish the full-year 2026 numbers in January 2027.