Indicators / series
epoch.openai.compute_spend_usd.fy
Source: Epoch AI data hub — AI companies (Epoch AI) · CC BY 4.0 · CSV
Epoch AI, 'Data on AI Companies' (CC BY 4.0), epoch.ai/data
| id | value | grade | as of date | published date | tier | audited vs reported | extraction method | review status | retrieved at | http status | content hash | supersedes id | url | flags |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| e2ac42b3090bf545 | $416M | grade C, evidence tier 5 | 2022-12-31 | 2023-05-04 | 5 | estimated | api | approved | 2026-09-10T01:28:41.972289Z | 200 | 90c5337eb305 | — | source page | |
| 917abc2e7cdbf458 | $4.0B | grade C, evidence tier 5 | 2024-12-31 | 2024-10-09 | 5 | estimated | api | approved | 2026-09-10T01:28:41.972289Z | 200 | 90c5337eb305 | ce58c61ac6ce1d79 | source page | |
| a30f4c282b47359a | $8.0B | grade C, evidence tier 5 | 2025-12-31 | 2026-02-20 | 5 | estimated | api | approved | 2026-09-10T01:28:41.972289Z | 200 | 90c5337eb305 | a45b4a116415e8de | source page |
Raw snippets and dispute text
- e2ac42b3090bf545 {"Amount": "416000000", "Category": "R&D cloud compute,Inference cloud compute,Data", "Company": "OpenAI", "Confidence": "Likely", "Date": "2022-12-31", "Id": "OpenAI 2022 compute + data", "Notes": "OpenAI spend \"416M on \"computing and data\", out of ~500M in total spending.\n\n\"But it was projecting expenses of $416.45 million on computing and data, $89.31 million on staff, and $38.75 million in unspecified other operating expenses\"", "Period type": "Year", "Report date": "2023-05-04", "Source 1": "https://fortune.com/longform/chatgpt-openai-sam-altman-microsoft/", "Source Type": "Media report", "Total compute spend": "416000000.0"}
- 917abc2e7cdbf458 {"Amount": "4000000000", "Category": "R&D cloud compute", "Company": "OpenAI", "Confidence": "Likely", "Date": "2024-12-31", "Id": "OpenAI 2024 R&D compute", "Notes": "Importantly, this may actually be ~$5-6B in incurred R&D compute expenses in 2024.\n\nThe article shows a graph with $3B in training expenses, and $1 in research compute amortization\n\nI'll take the amortization at face value here, but the actual spending on research compute in 2024 is then equal to 1B multiplied by the amortization schedule in years, which is described as multiple years. So $2B if amortized over two years, $3B if three years.\n\nThis is from a projection of 2024 spending published in October 2024, so numbers are not certain.", "Period type": "Year", "R&D compute spend": "4000000000.0", "Report date": "2024-10-09", "Source 1": "https://www.theinformation.com/articles/openai-projections-imply-losses-tripling-to-14-billion-in-2026?rc=9mzoog", "Source Type": "Media report"}
- a30f4c282b47359a {"Amount": "8000000000", "Category": "Inference cloud compute", "Company": "OpenAI", "Confidence": "Likely", "Date": "2025-12-31", "Id": "OpenAI 2025 inference compute", "Inference compute spend": "8000000001.0", "Notes": "Per The Information: \"Last year, OpenAI spent more than $8 billion on the costs of running its AI models for its users, with roughly $4.5 billion on inference for paying users.\"\n\nThis is up ~1 billion from OpenAI's mid-2025 projection of $7B (source 2).", "Period type": "Year", "Report date": "2026-02-20", "Source 1": "https://www.theinformation.com/articles/openai-boost-revenue-forecasts-predicts-112-billion-cash-burn-2030?rc=9mzoog", "Source 2": "https://www.theinformation.com/articles/openai-spend-100-billion-backup-servers-ai-breakthroughs?rc=9mzoog", "Source Type": "Media report"}