Meta Platforms is reportedly preparing for significant workforce reductions as the company pours unprecedented capital into artificial intelligence. Following reports that the tech giant may lay off 20% or more of its employees, Meta’s stock surged nearly 3%, trading at $629 per share.
The potential cuts would eliminate roughly 16,000 of the nearly 79,000 jobs at the company. According to insiders, managers have already been asked to draft cost-cutting plans, with layoffs arriving as soon as next month. If finalized, this would mark Meta’s most drastic headcount reduction since its restructuring across late 2022 and 2023, which saw 21,000 jobs eliminated.
While Meta spokesperson Andy Stone called the layoff reports “speculative,” Wall Street has responded positively. Rosenblatt Securities analyst Barton Crockett noted that a 20% staff reduction could save about $6 billion, representing a 5% boost to adjusted core earnings. Crockett suggested cuts might not stop there if AI proves highly impactful on staff productivity.
Scaling Up AI Infrastructure and Talent
The drive to trim personnel costs stems from Meta’s massive pivot toward AI. To secure cloud computing power, Meta expects its capital expenditures to reach up to $135 billion in 2026, nearly double the $72 billion spent in 2024. Meta recently struck a $27 billion deal with Nebius for cloud services and plans to invest $600 billion in data center expansion by 2028.
Beyond hardware, Meta is engaged in an expensive talent war. The company has offered compensation packages worth up to $300 million over four years to poach top researchers. Meta also made a $14.3 billion investment last June to hire former Scale AI CEO Alexandr Wang as its chief AI officer. Wang now leads TBD Lab, an elite 100-person unit building next-generation models. This transition has seen some researcher departures and clashes between Wang and Meta veterans over how new models should improve the core advertising business.
Meta’s spending reflects a broader industry arms race. The four biggest tech companies—Amazon, Alphabet, Meta, and Microsoft—are projected to spend $650 billion combined on capital expenditures in 2026.
Development Hurdles and Model Delays
Despite investing billions, Meta has struggled to keep pace with OpenAI, Anthropic, and Google. The company’s in-house development faced setbacks, including the shelving of a large model codenamed Behemoth due to misleading benchmark results.
Meta’s highly anticipated models, Avocado and Mango, have also fallen short of expectations. Originally slated for mid-March, Avocado is now unlikely to launch before May. While it outperformed Meta’s Llama 4 and Google’s Gemini 2.5, it failed to match Google’s Gemini 3.0.
The pressure to deliver is mounting. Leaders within Meta’s AI division have reportedly discussed temporarily licensing Google’s Gemini to power their products until in-house technology catches up. Meanwhile, development is underway on the next iteration, Watermelon. CEO Mark Zuckerberg previously tempered expectations, noting in January that Avocado was more about demonstrating the company’s rapid trajectory.
A Broader Shift Across the Tech Industry
If Meta proceeds with these massive job cuts, it will underscore a growing trend across Silicon Valley. Companies are betting that capable AI tools will allow them to operate more efficiently with fewer employees.
Since November, companies have announced over 61,000 job cuts tied to AI, including reductions at Amazon, Atlassian, and Wisetech. Block CEO Jack Dorsey unveiled plans last month to let go of nearly half of his staff, arguing that AI has fundamentally changed business operations.
However, opinions on the true driver of these layoffs remain mixed. OpenAI CEO Sam Altman suggested some corporations are using AI as a convenient excuse for pre-planned job cuts. Bernstein analyst Mark Shmulik echoed this, noting that while AI makes a good scapegoat for right-sizing after over-hiring, the market will eventually see through the camouflage. Still, Shmulik added that Meta remains uniquely positioned to successfully transition into an AI-enabled organization.
