Observed Signal · Aug 10, 2026 · Analysis · Source: Exponential View · Impact: 4/5 · Sentiment: Neutral
AI capex deployment gap delays depreciation
An analysis of AI infrastructure spending shows the seven largest builders expect $863 billion of capital expenditure in 2026 (an 88% increase year-over-year), with roughly two-thirds (~$550 billion) tied to AI. Much of that investment is capitalized as construction-in-progress while assets are built or assembled; depreciation only starts when assets are placed into service. Across four hyperscalers that disclose the metric, assets not yet in service total $315 billion (up from $281 billion the prior quarter), representing future depreciation and capacity yet to come online. Meta’s capex now waits about 1.7 years before going live — roughly a year longer than FY2024 — meaning only about one-third of current spending will reach service within a year.
Large-scale AI infrastructure capex and delayed service dates across major cloud builders affect future depreciation, capacity timing and financials for major platforms — implications that matter to technology, cloud, and advertising infrastructure planning.
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Key Takeaways & Evidence Grounding
- Seven largest AI-infrastructure builders project $863 billion capital expenditure in 2026, 88% more than last year.
- Approximately two-thirds of that 2026 capex — about $550 billion — is estimated to be AI-related.
- Across four hyperscalers that disclose the balance, assets not yet in service total $315 billion, up from $281 billion one quarter earlier.
- Meta’s capex now waits approximately 1.7 years before assets go live, about one year longer than in FY2024.
- While infrastructure is being built it is capitalized as construction in progress; depreciation begins only when assets are ready for intended use.
Connected Companies & Entities
1 Entity mapped“A dollar of capex spent by Meta now waits some 1.7 years before going live, a year more than in FY2024....”
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Big Tech AI Capex to Top $1 Trillion in 2027
Wall Street analysts including Evercore and Bank of America now project cumulative capital expenditures by major technology companies for AI infrastructure could exceed $1 trillion in 2027, following Q1 earnings and raised spending guidance from hyperscalers. Bank of America’s tally showed 2026 capex estimates rising across Alphabet, Amazon, Microsoft and Meta, while Google Cloud reported 63% year-over-year revenue growth and a rapidly expanding backlog. Companies and analysts say the sustained buildout benefits chipmakers and infrastructure vendors, even as free cash flow for some hyperscalers (notably Meta) has fallen sharply. The outlook underscores accelerating demand for custom silicon (TPUs, Trainium) and broader cloud capacity, prompting concern among some investors about near-term returns despite signs of monetization via cloud revenue.
Hyperscaler capex under investor scrutiny
During an exceptionally strong earnings season, investors focused on major cloud providers' aggressive capital expenditure plans to build data centers for AI. Alphabet raised its 2026 capex outlook to as high as $205 billion and signalled further increases in 2027, a disclosure that sent its stock down more than 7%. Microsoft and Amazon delivered results that reassured markets: Microsoft kept 2026 capex steady while forecasting fiscal‑2027 growth and reported Azure/cloud revenue up 43%; Amazon said 2026 capex could reach $220 billion due to rising memory costs. Analysts say the market will tolerate heavy spending if revenue growth outpaces capex and margins improve; key risks include leverage and how quickly compute spending is monetized across the broader economy. Nvidia’s upcoming earnings and potential IPOs from Anthropic and OpenAI are noted as next checkpoints for the AI investment cycle.
Hyperscalers' AI Spending Surge Raises Investor Concerns
During earnings season, hyperscalers including Amazon, Microsoft, Meta and Alphabet signalled dramatically higher AI-related capital expenditure, with combined commitments reported as high as $700 billion for the year. Investors reacted nervously — more than $1 trillion of Big Tech market value was erased in a recent selloff — amid questions about where financing will come from and how quickly the investments will be monetized. Analysts note a roughly 60% year-over-year jump in committed capex and warn that hyperscaler capex could consume nearly 100% of operating cash flow versus a 10-year average of about 40% (per UBS). Concerns include increased borrowing (Oracle planning large debt raises; Alphabet returning to bond markets) and tight payback timelines for data-center and chip investments.
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