META Guides $145B Capex While Cutting 10% of Workforce and Redeploying 7,000 into AI

Meta made a counterintuitive announcement that has reframed how Wall Street thinks about large-cap tech efficiency and AI capex: the company is simultaneously cutting 8,000 jobs (roughly 10% of its workforce), canceling 6,000 open positions, and moving another 7,000 employees into AI-focused roles, all while guiding $145B in capital expenditure for the year. This is not austerity; it is a deliberate workforce reset designed to reallocate human capital toward the highest-ROI projects: AI infrastructure, large-language models, and efficiency gains.

The timing is critical. Meta's earnings call revealed that the company sees the competitive AI landscape as bifurcated: winners will invest massively in compute and model-training infrastructure, while losers will struggle to keep pace. By cutting lower-productivity headcount and redirecting those salaries and overhead into silicon, server farms, and AI talent, Meta is essentially saying it would rather own chips and data centers than employ mid-tier engineers and middle managers. This trade-off has lifted Meta's stock and signaled to other large-cap tech peers (MSFT, GOOGL, AMZN) that the era of headcount-light, profit-maximizing operations is giving way to a new capex-intensive regime.

The $145B capex guidanceCompany-issued forecasts of future financial performance. is eye-watering. For context, Meta's entire revenue in 2025 was roughly $114B; the company is now planning to deploy capital equivalent to 127% of annual revenue into infrastructure. This bet assumes that advertising and other revenue streams will grow robustly enough to justify the capex return profile, a bet that hinges on either stronger AI-driven advertiser ROI or entirely new revenue lines (e.g., AI-as-a-service offerings).

Investors and skeptics debate whether this capex path is sustainable or a bubble. On one side, Meta insiders argue that the capex is front-loaded and will taper as efficiency gains compound. On the other, critics point out that if the AI models Meta is training do not generate proportionate returns (through improved ads targeting, recommendation engines, or new products), the capex could become a stranded asset. The stock has treated the reset as a positive signal, but the sustainability of the $145B capex plan will be a key earnings focus for the next two quarters.