Tech CEOs suddenly love blaming AI for mass job cuts. Why?
Foto: BBC Tech
Nearly $650 billion – this is the amount giants such as Amazon, Meta, Google, and Microsoft intend to invest in artificial intelligence over the coming year. This astronomical figure is becoming the new primary justification for the wave of mass layoffs sweeping through the Big Tech sector. While CEOs previously spoke of "over-hiring" or "efficiency," today they are shifting the blame for job cuts directly onto AI. Jack Dorsey, head of Block, openly admits that he plans to lay off nearly half of his workforce, claiming that smaller teams supported by intelligent tools can work better and faster. A similar strategy is being adopted by Meta, where Mark Zuckerberg announces that 2026 will be a breakthrough in the way work is performed, which is already resulting in hundreds of termination notices. For users and employees in the creative sector, the signal is clear: AI is ceasing to be just a technological novelty and is becoming a tool for radical cost optimization. However, experts note a hidden motive – the AI narrative allows executives to avoid the image of "villains" cutting jobs solely for profit, while in reality, payroll savings are simply intended to fund massive expenditures on server infrastructure. Regardless of management's intentions, the automation of tasks such as coding (already 25-75% generated by AI) is realistically transforming the labor market, making proficiency in operating algorithms a key survival competency in this new reality.
In the world of technology, there has been a rapid shift in narrative. Not long ago, CEOs of the largest corporations explained mass layoffs as "over-hiring during the pandemic," "flattening management structures," or simply "operational efficiency." Today, these arguments are becoming obsolete, replaced by one ubiquitous term: Artificial Intelligence. From Google and Amazon to Meta and smaller entities like Pinterest or Atlassian – industry leaders are consistently pointing to AI as the primary reason for job reductions, claiming that this technology allows them to achieve more with fewer human resources.
The scale of the phenomenon is unprecedented. In recent weeks, tech giants have not only announced further waves of layoffs but have integrated them into their digital transformation strategies. Mark Zuckerberg, head of Meta, openly admitted in January that 2026 will be the moment when AI "dramatically changes the way we work." Actions followed words – the company managing Facebook, Instagram, and WhatsApp laid off hundreds of people, including 700 employees last week. Although the giant is still recruiting in "priority areas," internal sources report hiring freezes in many departments and the specter of further reductions.
The new face of efficiency according to Jack Dorsey
Jack Dorsey, leader of Block (owner of CashApp, Square, and Tidal), puts the situation even more bluntly. While announcing plans to reduce nearly half of the staff, Dorsey told shareholders that this isn't just about traditionally understood efficiency. According to him, intelligence tools have changed the fundamental rules of building and running a company. "A much smaller team, using the tools we are building ourselves, can do more and do it better," Dorsey argued, adding that he expects most companies to reach similar conclusions within the next year.
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However, Dorsey's stance draws skepticism. Critics note that he has carried out at least two waves of layoffs in the last two years without mentioning AI once before. Investors, such as Terrence Rohan, suggest that citing artificial intelligence is simply a convenient PR move. Referring to technological progress sounds better in an official communication than admitting to cost pressure or the desire to please shareholders. This way, the CEO doesn't come across as a "villain" cutting costs, but as a visionary adapting the company for the future.
This does not mean, however, that productivity arguments are entirely without merit. Anne Hoecker from the consulting firm Bain notes that business leaders are realistically seeing "step-function changes in performance." In some venture-backed companies, software code is already 25% to 75% generated by AI. This directly affects professions that were previously considered safe havens of high earnings: programmers, computer engineers, and developers. These tools have become so advanced that the same volume of work can be performed by a fundamentally smaller number of people.
Funding the arms race at the expense of jobs
There is also a second, much more prosaic reason why AI is driving layoffs: the gargantuan cost of investment. Amazon, Meta, Google, and Microsoft plan to collectively pump a staggering $650 billion into artificial intelligence development in the coming year. To reassure investors terrified by such massive spending, boards are looking for savings where they are greatest – on the payroll. Employee compensation is typically the largest single cost in tech companies.
These companies are not hiding this connection at all. Amazon, which plans to spend $200 billion on AI investments (the most in the industry), has simultaneously reduced its workforce by about 30,000 corporate employees since last October. The company's CFO openly admitted that Amazon is working hard to balance AI spending with "efficiency and cost reduction" in other areas. Google has adopted a similar strategy. Anat Ashkenazi, the company's CFO, stated that freeing up capital within the organization helps drive the "investment flywheel" intended to generate future growth.
- Meta: Plans to nearly double AI spending this year while reducing hundreds of jobs in traditional departments.
- Amazon: A record $200 billion for AI while simultaneously laying off 30,000 people.
- Google: Continuing smaller waves of layoffs after removing 12,000 positions in 2023 to "free up capital."
- Block: Reducing nearly half of its staff in the name of building a company based on intelligence tools.
Financial discipline in the shadow of algorithms
Although the savings resulting from laying off even several thousand employees are relatively small compared to the billions spent on data centers and integrated circuits, they are of key psychological importance for the stock market. As Terrence Rohan notes, Big Tech is currently playing a "game of inches." Every optimization of the corporate machine, even a small one, is perceived positively. Layoffs are a signal to Wall Street that management is maintaining financial discipline and not writing "blank checks" for AI development without regard for profitability.
"The layoffs might not make a huge dent in the bill for AI development, but creating even a small cash flow helps show investors that the company has its finger on the pulse," assesses Anne Hoecker.
In this new reality, AI plays a double role: it is simultaneously a tool for automating tasks and a budgetary "black hole" that forces drastic cuts in other sectors of the enterprise. The narrative of a "technological breakthrough" has become an ideal shield for CEOs against social criticism. Instead of admitting to budget management errors, they can point to inevitable progress which – though painful for employees – is presented as the only way to survive in a new era dominated by algorithms.
Everything indicates that the tech industry is entering a phase of deep structural reconstruction. AI has ceased to be just an addition to products and has become a catalyst for personnel changes on an unprecedented scale. For tech sector employees, this means the end of the era of unconditional stability – now their value will be measured not only by skills but primarily by how resistant their work is to optimization by the tools in which their own companies are investing hundreds of billions of dollars.
