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Meta plans to sell excess AI computing power to challenge Amazon and Microsoft, sending shares up 9% as it seeks to monetize $135 billion in spending.
Meta Platforms is preparing to launch a cloud infrastructure business to sell excess AI computing power to outside customers, marking a direct challenge to Amazon, Microsoft, and Google. The move aims to monetize massive capital expenditures that have recently pressured the company's free cash flow and stock performance [1].
| At a glance | |
|---|---|
| Company | Meta Platforms |
| 2026 Capex Outlook | ~$135 billion (midpoint) |
| Stock Move | +9% to $617 |
| Stage | Business organization |
Meta has faced investor skepticism over its rising capital expenditures, which jumped from $37.2 billion in 2024 to $69.6 billion last year and are projected to reach roughly $135 billion at the midpoint of guidance this year [1]. While this spending trails Microsoft's planned $190 billion and Amazon's $200 billion, those competitors have established cloud businesses to justify the cost [1]. CEO Mark Zuckerberg signaled the shift in May, stating that offering cloud services was "definitely on the table" if the company built more capacity than needed [1][2].
The company is reportedly evaluating two approaches: renting raw "bare metal" computing capacity similar to neocloud providers like CoreWeave, or building a full-service platform with software tools akin to Amazon Web Services [1]. Analysts note that renting hardware could launch faster, while a full platform would take years to develop the necessary enterprise software and security certifications [1][2]. A key challenge will be convincing AI labs to host sensitive workloads with a competitor that also builds its own AI models, though demand for compute currently exceeds supply [1].
| Company | 2026 Capex/FY Guidance |
|---|---|
| Meta | ~$135 billion |
| Microsoft | ~$190 billion |
| Amazon | ~$200 billion |
| ~$180–190 billion |
The initiative addresses a critical investor overhang by offering a path to profit from data centers previously reserved for internal advertising and AI products. However, success depends on whether Meta can overcome the trust deficit of competing with its own customers [1].
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 2 outlets · Jul 6, 2026 · How we report
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