18 min read 04/09/2026

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 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.

Here’s a summary of our research:

  • 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

Read on to discover the full picture.

"55,000 layoffs (4.5%) in the US were attributed to AI in 2025."

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.

 

Layoff statistics

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? JP Morgan Asset management challenges the strong media narrative about AI replacing people. In their study they find out 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.

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.

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 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.

Amazon layoffs

Amazon said in October it will 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.

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 15,000 employees. 2023 was relatively stable, but in 2024, 2025, and 2026 there were again major layoffs. 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.

"Approximately 92% of companies that announced AI-driven layoffs actually increased their total headcount between 2024 and 2025."

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

Company Location Laid Off % Headcount 2024 Headcount 2025 Industry Source Country Date
Atlassian Sydney 1,600 0.1 12,157 13,813 Other Yahoo Australia 11.3.2026
Block SF Bay Area 4,000 0.4 11,372 10,205 Finance CNBC United States 26.2.2026
eBay SF Bay Area 800 0.06 11,500 12,300 Retail CNBC Israel 26.2.2026
Ocado London 1,000 0.05 20,261 21,367 Food Guardian United Kingdom 26.2.2026
DraftKings Boston     5,100 5,500 Consumer Next.io United States 24.2.2026
Lucid Motors SF Bay Area   0.12 6,800 9,000 Transport TechCrunch United States 20.2.2026
Dayforce Toronto   0.05 9,084 9,600 HR Internal memo Canada 11.2.2026
Salesforce SF Bay Area     72,682 76,453 Sales Business Insider United States 9.2.2026
Workday SF Bay Area 400 0.02 18,800 20,400 HR Bloomberg United States 4.2.2026
Zillow Seattle 200   6,856 7,068 Real Estate Seattle Times United States 2.2.2026
Expedia Seattle 100   16,500 16,000 Travel Yahoo United States 1.2.2026
Peloton New York City   0.11 2,918 2,145 Fitness Reuters United States 30.1.2026
Amazon Seattle 16,000   1,556,000 1,576,000 Retail Amazon United States 28.1.2026
ASML Veldhoven 1,700   42,416 44,027 Hardware ASML Netherlands 28.1.2026
Pinterest SF Bay Area 700 0.15 4,666 5,265 Consumer The Verge United States 27.1.2026
Autodesk SF Bay Area 1,000 0.07 15,300 14,300 Other Reuters United States 22.1.2026
Shopify Ottawa     8,100 7,600 Retail BetaKit Canada 22.1.2026

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.
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 provide an update at the end of the year on how hiring and AI-related layoffs evolve.

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FAQs

Short answer: not really. AI is often mentioned, but in most cases it is not the real reason. Companies are cutting costs, fixing overhiring from previous years, or trying to improve margins. AI is just an easy explanation that sounds good in headlines.

Still quite small. Only a small portion of layoffs is directly linked to AI. Even studies show that only a tiny percentage of companies actually reduced headcount because of real AI implementation.

Because it’s a clean story. Saying “we overhired” or “we need to cut costs” doesn’t sound great. Saying “AI is changing everything” sounds strategic and forward-looking. In reality, it’s often a mix of cost-cutting, restructuring, and pressure from investors.

Not really. In most cases, companies are not shrinking overall. They are just reshuffling. They lay off some roles, but hire in others — often in more technical or AI-related positions. So even if layoffs happen, total headcount often stays the same or even grows.

Roles with clear input and output, repetitive tasks, and lots of historical data. Think customer support, basic data processing, or simple coding tasks. These are much easier to automate compared to creative or strategic roles.

Maybe, but not yet. Right now, changes are slow and more evolutionary than revolutionary. AI is increasing productivity first. That means fewer people can do more work. Real large-scale impact might come later, but we are not there yet.