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META · AI infrastructure profile

Meta AI Capex in 2026: $130B–$145B Guide

Track Meta's updated $130 billion to $145 billion 2026 capex outlook, finance leases, quarterly spending, advertising monetization, and investor signals.

Calendar 2026 guidance

$130B–$145B

Companywide capital expenditure. It is not a disclosed pure-AI total.

Reviewed
Evidence
2 external references · Method
2026 guidance
$130B–$145B
Calendar 2026
Q2 2026 capex
$31.08B
Includes principal payments on finance leases
Sources
2
Primary company materials
Reviewed
2026-08-10
Refresh after material guidance changes

Meta 2026 capex guidance

Meta narrowed its 2026 capital-expenditure outlook to $130 billion to $145 billion on July 29, raising the lower end from its earlier $125 billion to $145 billion range. The spending includes principal payments on finance leases and supports data centers, servers, networking, recommendation systems, generative AI and research infrastructure.

What the number includes

Meta explicitly includes principal payments on finance leases in its capex measure. That convention is important when comparing the company with peers that describe additions, cash purchases and leases differently. Meta also monetizes much of its infrastructure indirectly through advertising engagement and efficiency rather than by selling every unit of compute to an external customer.

  • Servers, accelerators and networking for recommendation, ranking and generative-AI workloads.
  • Data-center construction and finance-lease commitments needed to expand the installed compute base.
  • Infrastructure that supports the advertising business, consumer products, enterprise initiatives and long-horizon AI research.

How investors should read the spending

Meta's return bridge is different from a cloud provider's. New infrastructure can improve recommendations, ad conversion and product engagement without producing a separately reported AI revenue line. The analytical challenge is to compare those benefits with the rapid growth in depreciation, operating expenses, lease commitments and free-cash-flow demands created by the buildout.

What to monitor next

  • Quarterly capex against the narrowed $130 billion to $145 billion outlook.
  • Finance-lease principal and future data-center commitments alongside cash purchases.
  • Advertising growth, recommendation improvements and any direct enterprise-AI monetization signals.
  • Depreciation, infrastructure operating costs and free cash flow as new capacity enters service.

Comparison limits

  • The capex outlook includes infrastructure used across Meta's core business and research, not only generative AI.
  • Finance-lease treatment reduces comparability with peer headline numbers.
  • Indirect advertising benefits are harder to attribute to a specific infrastructure cohort than contracted cloud revenue.

Primary sources

Guidance can change each quarter. Yield Theory preserves the company's accounting definition and does not relabel the entire amount as AI spending. Read the research methodology for our sourcing and correction standards.

Compare hyperscaler capex

Microsoft AI capexAbout $190BAmazon AI capexAbout $200BAlphabet AI capex$175B–$185B

Continue the analysis

2026 hyperscaler AI capex trackerCompare the four-company spending envelopeAI capex depreciation return modelModel the revenue and return required by a capex cycleThe AI depreciation clockTrace when infrastructure spending reaches earningsMeta stock researchPut the infrastructure plan in company context

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