Meta Is Cutting 20% of Its Workforce to Fund AI That Can't Compete

Meta is reportedly planning to cut up to 16,000 employees, roughly 20% of its workforce. The layoffs would be the company's largest since 2022 and come at a moment when Meta's AI spending is projected to exceed $135 billion in 2026.

The timing tells you everything. Meta delayed the rollout of its latest AI model, internally codenamed "Avocado," after it failed to match the performance of competing models from OpenAI, Google, and Anthropic. So the company is simultaneously spending record amounts on AI infrastructure, failing to produce competitive models, and cutting a fifth of its human workforce to fund the gap.

Fortune reported that analysts see Meta's move as the potential start of a "cascade" of AI-related layoffs across the tech sector, echoing the pattern Block started when it cut 40% of its workforce and explicitly cited AI as the reason. The difference is that Block framed its cuts as a strategic pivot toward AI-native operations. Meta is framing its cuts as a cost reallocation, firing people to fund GPUs that haven't produced competitive output.

The math doesn't add up

Here's the uncomfortable calculation. Meta's Llama models have been the flagship of the open-source AI movement. Llama 4 was supposed to close the gap with proprietary models from OpenAI and Anthropic. Instead, "Avocado" couldn't match them, and the model's release was pushed back indefinitely.

Meta is outspending its competitors by nearly an order of magnitude and producing weaker results. The open-source strategy that made Llama a developer favorite hasn't translated into commercial AI products that compete at the frontier.

What this actually signals

The 45,000 tech layoffs in March 2026 alone, with over 9,200 explicitly attributed to AI and automation, aren't just cost-cutting. They're a structural reorganization of how tech companies allocate capital between humans and compute.

Meta's version of this trade is particularly stark. The company isn't cutting jobs because AI made those roles obsolete. It's cutting jobs because it needs the money to keep building AI that works. The humans aren't being replaced by AI. They're being sacrificed to fund AI that hasn't arrived yet.

That's a fundamentally different story than the one the industry has been telling about AI-driven efficiency. It's not "AI replaces workers." It's "workers fund AI." The direction of the subsidy runs the opposite way from the narrative.

The cascade risk

If Meta follows through, the precedent it sets matters more than the layoffs themselves. Meta employs roughly 80,000 people. A 20% cut at that scale normalizes AI-justified layoffs as a standard corporate strategy, regardless of whether the AI actually delivers.

Other companies watching Meta will learn a simple lesson: you can cut headcount, cite AI as the reason, redirect the savings to GPU procurement, and the market will reward you for it. Whether the AI produces results is a second-order question. The first-order question is whether the stock price responds to the narrative.

That's the cascade analysts are worried about. Not a wave of AI replacing jobs, but a wave of companies using AI as cover for cuts they wanted to make anyway.