AI-Driven Layoffs: Big Tech Cuts Staff to Fund US$650bn Bet

Increasingly, layoffs at big tech companies are about high-stakes bets on AI rather than efficiency or over-hiring.

From industry giants like Amazon and Meta to specialised firms like Block, a clear sector-wide pattern has emerged where companies are shrinking their workforces to fuel a sweeping transition to AI-driven operations.

Efficiency vs. intelligence

In the past, executives blamed “too many management layers” for job cuts. Today, the justification is more direct. 

Meta CEO Mark Zuckerberg recently said: “I think that 2026 is going to be the year that AI starts to dramatically change the way that we work.” 

Since that statement, Meta has cut hundreds of positions while simultaneously doubling its AI spending.

We are also seeing a change in productivity. AI tools are moving past the experimental phase and they are becoming good enough to handle complex tasks. 

Jack Dorsey, leader of the fintech firm Block, recently announced plans to shed almost half of his company’s workforce. 

His reasoning was blunt: “Intelligence tools have changed what it means to build and run a company. A significantly smaller team, using the tools we’re building, can do more and do it better.”

The US$650bn bill 

While productivity is a major factor, there is a secondary, more financial reason for the recent surge in layoffs: the staggering cost of AI infrastructure. 

The big four – Amazon, Google, Meta and Microsoft – are projected to pour US$650bn into AI investments this year alone, according to the BBC.

To balance the scales and appease investors, firms are looking at payroll. 

For example, Amazon plans to spend US$200bn on AI this year. To offset this, the company has cut approximately 30,000 corporate roles since October. 

While laying off staff might only provide a fraction of the cash needed for a multi-billion-dollar AI bill, it proves to shareholders that executives aren’t just writing blank checks.

Across the industry

Perhaps the most surprising trend is that these cuts are moving up the corporate ladder.

While Anthropic CEO Dario Amodei suggests AI could replace 50% of the white-collar workforce, specifically targeting repetitive roles like document review, the C-suite is also feeling the heat.

“If we look at jobs like entry-level white, you know, I think of people who work at law firms, like first-year associates, there’s a lot of document review,” Dario said in May 2025. “It’s very repetitive, but every example is different. That’s something that AI is quite good at.”

“I think, to be honest, a large fraction of them would like to be able to use it to cut costs to employ less people.”

Last year, AI was cited as a factor in over 54,000 layoffs. Simultaneously, CEO turnover hit a 15-year high.

Leaders like Adobe’s Shantanu Narayen have stepped down, citing the need for new leadership to navigate the AI transition. 

Even OpenAI’s Sam Altman has mused about his own eventual replacement. In an interview with the MD MEETS podcast, he said: “I think there will come a time when AI can be a much better CEO of OpenAI than me – and I will be nothing but enthusiastic the day that happens.”

Dirk Jenter, Professor of Finance at the London School of Economics and Political Science, suggests CEOs are leaving because investors believe some CEOs can’t deliver on promises offered by AI.

“Investors are not necessarily super patient,” he says. “They see billions being spent on AI investments, and they see sort of very little in short-term return on investment, and that puts a lot of pressure on company leadership.”

For the average worker, the message is clear: the threat to jobs isn’t just about automation anymore but also about reallocation. 

Tech giants are playing a game of inches, trimming headcount to fund the next generation of computing.