Leading AI company reaches $40B annual compute costs, 6GW peak power and $200B active compute

What AI 2027 Predicted

The leading lab reaches three end-2026 quantities: $40B annual compute expenditure, 6GW peak power and $200B in active computing hardware. These describe one lab’s resources and costs, not the global buildout. Archived scenario dashboard · Compute supplement

How We Track This

Assess each quantity separately before evaluating the combination. Contracted future capacity is distinct from operating capacity; available capacity is distinct from measured peak draw. Multi-year commitments are not annual expense. Cloud payments cannot simply be reclassified as a customer’s owned hardware.

Current Evidence

OpenAI’s CFO reported available compute of approximately 0.2GW in 2023, 0.6GW in 2024 and 1.9GW in 2025. This is substantial realized access growth. Reaching 6GW from 1.9GW would require a further 3.16× increase. Repeating the preceding approximate threefold pace would give 5.7GW, an illustrative scale comparison rather than a forecast or measurement of peak power. OpenAI business account

The secured pipeline is larger. OpenAI’s April update said it had surpassed its objective of securing 10GW of US infrastructure by 2029, including 3GW added to the pipeline in 90 days. Its August Ports Pike announcement describes another large prospective campus. These announcements support continued expansion; they do not establish that the capacity is operating in 2026. April infrastructure update · Ports Pike announcement

Scenario quantity	Evidence-based assessment
$40B annual compute expense	Large infrastructure agreements support expansion, but their multi-year values do not establish 2026 expense.
6GW peak power	The disclosed 1.9GW available-compute baseline and subsequent pipeline make the scale plausible; comparable operating peak draw remains unverified.
$200B active hardware	A large global buildout supports feasibility, but a reconciled single-lab inventory or equivalent access valuation is missing.

Counterevidence & Limitations

The disclosed baseline predates the deadline by a year, while much of the pipeline extends beyond it. Capacity labels can refer to facility power, IT load or contracted access. Hardware serving multiple customers cannot be assigned in full to each lab.

Emerging reflects positive scale evidence with an unresolved conjunction. It does not mean that announced capacity has no value. It means the conversion from contracts to the three operational quantities is not yet sufficiently measured.

What Would Change Our Assessment

• Strengthen: Dated commissioning and usage disclosures bridge the existing baseline to 2026 operating resources.
• Confirm: Comparable single-lab accounts establish all three quantities within the window.
• Weaken: Disclosed delays or reconciled deadline-period accounts demonstrate a material shortfall.

Update History

Date	Update
2026-09-07	Added the primary 1.9GW available-compute baseline and evaluated the growth required to approach 6GW. Secured future capacity supports expansion but cannot establish annual expense, peak draw or active-hardware value.
2026-09-06	Assessment revised from on-track (0.55) to emerging (0.55). Annual compute expense, operational peak power and active-compute value are separate unresolved quantities for the same company.
2026-08-31	Reuters reported that Anthropic agreed to a six-year, roughly $45 billion Nscale compute rental covering about 460 MW of planned capacity. This adds direct lab-linked compute-cost and power evidence, while leaving 2026 operation and the much larger tracked thresholds unverified. Status and confidence remain unchanged.
2026-08-24	NVIDIA named OpenAI as the customer for a planned 8 IT-GW PORTS-Pike campus under a 20-year lease, with an initial 4.25 IT-GW phase. This adds direct future capacity evidence, while leaving 2026 delivery, utilization, and actual OpenAI peak load unverified. Status and confidence remain unchanged.
2026-06-15	Axios reported a $35B Anthropic-linked compute-financing platform involving Apollo, Blackstone, Broadcom, and Fluidstack, designed to support more than 20 GW of compute capacity through 2028. This strengthens evidence for large compute-financing structures, while not proving Anthropic has reached the end-2026 $40B compute-cost, 6 GW power, or $200B active-compute thresholds. Confidence adjusted 0.50 → 0.55.
2026-03	OpenAI closes $122B funding at $852B valuation. Stargate program now encompasses ~10GW planned capacity. Assessment: $40B compute costs likely met (OpenAI projects $46B). 6GW in planned capacity exceeded but operational capacity harder to verify. $200B single-company capex approached by Amazon but serves entire AWS business. Status: Emerging → On Track for compute costs; power and capex remain Emerging. Confidence 0.40 → 0.50.
2026-02	Alphabet guides 2026 capex at $175-185B (nearly double $91.4B in 2025). Amazon guides $200B for 2026 (+53%). Big 5 combined: $660-690B. OpenAI revises compute spending to ~$600B by 2030 (down from $1.4T), projects $46B total compute costs for 2026 ($32B training + $14.1B inference) — exceeding the $40B threshold. Anthropic closes $30B Series G at $380B valuation.
2026-01	Meta guides 2026 capex at $115-135B (nearly double 2025). Stock surges 10.4%.
2025-12	Analysts project hyperscaler capex exceeding $600B in 2026 (+36% over 2025). SoftBank completes $22.5B second tranche to OpenAI. Michigan regulators approve 1.4GW for Stargate. Full-year 2025 capex: Amazon ~$131.8B, Alphabet $91.4B, Meta $72.2B.
2025-11	Sam Altman states OpenAI has ~$20B ARR and ~$1.4T in datacenter commitments over 8 years (~30GW capacity). Peak ambition before later revision.
2025-10	AMD and OpenAI announce 6GW GPU partnership (~$90B cumulative). OpenAI completes for-profit restructuring. Q3 capex: Alphabet $24B, Amazon $34.2B, Meta $19.4B, Microsoft $34.9B (+74% YoY).
2025-09	Anthropic closes $13B Series F at $183B valuation. First Stargate data center operational in Abilene, TX (200MW+). CoreWeave expands OpenAI deal by another $6.5B. Five new Stargate sites announced with combined ~7GW planned capacity.
2025-07	OpenAI and Oracle announce 4.5GW Stargate expansion exceeding $300B over 5 years. Alphabet raises 2025 capex guidance to $85B. Amazon reports Q2 capex of $31.4B, implying full-year ~$125B+.
2025-05	Q1 2025 earnings: Alphabet $17.2B, Meta ~$19.4B, Amazon $24.3B, Microsoft $21.4B quarterly capex. All confirm AI infrastructure acceleration. CoreWeave expands OpenAI agreement by $4B (cumulative ~$16B).
2025-03	OpenAI signs $11.9B five-year deal with CoreWeave. OpenAI closes $40B funding round at $300B valuation — largest private tech fundraise in history.
2025-01	Microsoft announces $80B capex for FY2025. Stargate Project announced at the White House — OpenAI, SoftBank, Oracle target $500B over 4 years with $100B immediate deployment. DeepSeek R1 released at claimed $5.6M training cost; Nvidia loses $589B in market cap.