AI as a 'Silver Bullet' for Layoffs: An Analysis of the Trust Crisis in the Tech Sector
In 2026, the technology sector faces a paradoxical situation: companies are increasingly using the adoption of artificial intelligence as the primary explanation for mass layoffs, even when their own financial indicators demonstrate steady growth. Behind this trend lies not so much total automation, but a convenient narrative for restructuring and correcting past mistakes.
Scale and Statistics of Layoffs
According to data from the tracker TrueUp, since the beginning of 2026, 389 rounds of layoffs have been recorded in the technology industry, affecting nearly 152,000 people. The average rate of layoffs is about 916 people per day. Consulting firm Challenger, Gray & Christmas adds an alarming signal: in May alone, US employers announced 97,006 layoffs, of which 38,242 were in the technology sector — the highest since August 2024.
Notably, artificial intelligence has held the position of the most frequently cited reason for layoffs for the third consecutive month. Over the first five months of 2026, employers linked 87,714 layoffs to AI, accounting for 22% of all announced cases.
Cases of Major Players
Prominent examples include Block, Cloudflare, Meta Platforms, and GitLab. In February, Block laid off more than 4,000 employees, reducing its workforce from 10,000 to less than 6,000. Company head Jack Dorsey initially argued this was due to changes in management principles under the influence of AI, but later admitted that the key reason was excessive hiring during the pandemic.
In May, Cloudflare announced the layoff of more than 1,100 employees, citing a 600% increase in internal AI usage over three months. Meta Platforms planned a first wave of layoffs affecting 10% of its workforce (about 8,000 people), linking this to a restructuring around AI. GitLab cut 14% of its staff (350 people) and exited 22 countries, while simultaneously developing its AI platform GitLab Duo Agent.
In April, Oracle began laying off thousands of employees amid falling stock prices and large investments in AI infrastructure. Snap planned to cut about 1,000 people (16% of its global team), citing the need for optimization.
Expert Perspective: A Crisis of Trust
Venture capitalist Marc Andreessen rightly called AI a "silver bullet" for justifying layoffs, noting that most cuts are related to management errors, not automation. This narrative creates dangerous social tension. Companies are laying off tens of thousands of people, citing future technologies, while the growth of the AI market brings enormous fortunes to a select few.
It is telling that even OpenAI CEO Sam Altman accused large corporations of using AI as a pretext. In China, a court in Hangzhou has already ruled that companies do not have the right to lay off employees solely because they are replaced by AI. This is just the first warning. The labor market is experiencing not so much a technological revolution as a management crisis, where AI has become a convenient shield for unpopular decisions.
My professional opinion: We are witnessing not the beginning of an era of total replacement of humans by machines, but a classic correction cycle after overheated hiring. AI here is merely a catalyst and, more importantly, an ideal alibi for management. The real problem is the lack of strategic planning and a bias toward short-term savings. Investors should look more closely at companies that shout too loudly about AI while laying off staff: often behind this lies not so much a breakthrough as a desire to hide past mistakes.