2026年5月23日，一个名为“Is AI Profitable Yet?”的页面或文章发布，引发关于人工智能是否实现盈利的讨论。该内容在Hacker News获得119个积分，反映了科技社区对AI商业化进程与财务可行性的持续关注。
原文 · 保持原样，未翻译
Is AI Profitable Yet?
Is AI
Profitable
Yet?
Tracking the spend and revenue of frontier AI companies (May 2026).
NO.
Everyone's Broke.
$1.4T
Total Industry Spend
$613B
Total Industry Revenue
$29K
Spent since page load
PNL↓% PNL↓Revenue↓Spend↓A-Z↓
Hide Infrastructure
Company
• Total Spend on AI• Total Revenue from AI
Cumulative PNL
Amazon
Full AI capex est. since 2022
$313B
$22B
lost since page load
-$283
xAI
Cumulative est. since 2023
$20B
$0.8B
-$19.2B
lost since page load
-$391
Mistral AI
Cumulative est. since 2023
$1B
$0.4B
-$0.6B
lost since page load
-$9
Cohere AI
Cumulative est. since 2020
$0.7B
$0.4B
-$0.3B
lost since page load
-$3
DeepSeek
Cumulative est. since 2023
$0.3B
$0.1B
-$0.2B
lost since page load
-$6
Nvidia
Cumulative est. since 2023
$225B
$478B
+$253B
earned since page load
+$4K
Page Updates Light ModeBuy Me a CoffeePrivacy Notice
WHY I BUILT THIS
Many industry experts and companies claim AI profitability by 2030 is possible, so I wanted to see how close we really are. This site tracks cumulative spend versus revenue across most major AI companies in one place, allowing you to see approximately how much money is flowing into the industry and how far it is from breaking even.
I'll be updating these numbers monthly as new reports and financials drop. Perhaps one day, the big "NO" will become a "YES," and the question will finally be answered :). So far? The big winner is NVIDIA, who is receiving huge profits from the AI boom by positioning itself as the primary chip supplier to the AI sector.
HOW THE NUMBERS WORK
All figures are estimated cumulative totals (all-time). Because most of these companies are private, the numbers aren't exact; instead, they are built from leaked financials, SEC filings, earnings calls, and industry estimates from sources like Bloomberg, the WSJ, The Information, and Epoch AI (all referenced at the bottom). The punchline 'EVERYONE IS BROKE' is intentionally punchy, but shouldn't be taken absolutely literally.
The site includes both, big tech infrastructure spend and pure lab spending, hence why companies like Amazon and Google have huge spend figures compared to the pure labs like OpenAI or Anthropic (big AI investments, not much direct AI revenue yet). It's important to note that the site tracks whether AI investment specifically has broken even yet, not company-wide profitability, hence why companies such as Amazon and Google look so far in the red despite being hugely profitable companies as a whole.
Spend numbers include direct R&D costs, compute, and capital expenditure on AI infrastructure (data centres, chips, and networking). Capex is treated as spend despite having long-term asset value; this is intentional. The framing shows the sheer scale of capital being committed to AI before returns materialise, rather than smoothing it across a depreciation schedule. Indirect AI revenue (E.g. Google Search performance boosted by AI Overviews, or Microsoft Office revenue lifted by Copilot) is excluded because there is no reliable way to attribute what share of those gains AI is actually responsible for. The $/sec counters use current annual burn rates rather than historical averages, to reflect what's happening right now.
Revenue numbers are the trickiest to estimate due to a lot less information on them being readily available. Thus, the revenue figures here are mostly estimated and extrapolated off of ARR figures. Currently, I'd say these numbers are more optimistic than anything, but I will be refining this over time as more information comes out.
DISCLAIMERS
The AI economy is circular: Google funds Anthropic, Anthropic runs on Google Cloud, Amazon funds Anthropic, Microsoft co-invests with OpenAI. This means aggregate industry figures double-count some revenue flows. This site is one person's best effort at an honest picture, not a financial audit. If you have better sources, please reach out, I want to improve this site as much as possible every day :).
CONTRIBUTING
If you have good sources for any of these numbers or want to contribute, please reach out at: isaiprofitable@outlook.com Built and maintained by one developer. If you find this useful, a coffee goes a long way! Buy me a coffee
SOURCES & REFERENCES
Alphabet (Google) References
$190B projected 2026 AI capex: https://www.statista.com/chart/35046/capital-expenditure-of-meta-alphabet-amazon-and-microsoft/
Cumulative capex 2022–2024 from SEC 10-K filings: https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=GOOGL
Google Cloud AI revenue est. ~40% of Cloud total: https://epoch.ai/data-insights/ai-companies-revenue
Meta References
$145B projected 2026 AI capex: https://www.statista.com/chart/35046/capital-expenditure-of-meta-alphabet-amazon-and-microsoft/
Cumulative capex 2022–2024 from Meta SEC 10-K filings: https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=META
Llama open source, Meta AI free — no direct AI product revenue: https://ai.meta.com/llama/
Amazon References
$100B+ 2025 capex — 'vast majority for AI/AWS': https://www.cnbc.com/2025/02/06/amazon-expects-to-spend-100-billion-on-capex-in-2025-mostly-on-ai-for-aws.html
$200B projected 2026 AI capex: https://www.statista.com/chart/35046/capital-expenditure-of-meta-alphabet-amazon-and-microsoft/
AWS AI revenue run-rate >$15B Q1 2026: https://finance.yahoo.com/sectors/technology/articles/amazon-says-annual-revenue-run-101958790.html
Microsoft References
$190B projected 2026 AI capex: https://www.statista.com/chart/35046/capital-expenditure-of-meta-alphabet-amazon-and-microsoft/
$37B AI revenue ARR confirmed May 2026: https://www.geekwire.com/2026/microsoft-tops-wall-street-expectations-reports-accelerating-azure-growth-and-37b-ai-run-rate/
$9B net loss 2025 ($22B spend vs $13B revenue): https://fortune.com/2025/11/12/openai-cash-burn-rate-annual-losses-2028-profitable-2030-financial-documents/
$Making $2B per month: https://www.saastr.com/anthropic-just-passed-openai-in-revenue-while-spending-4x-less-to-train-their-models/
Anthropic References
$5.6B lost in 2024: https://www.theinformation.com/articles/anthropic-openais-share-ai-startup-revenues-rises-89
$9.7B total 2025 expenses: https://epoch.ai/data-insights/company-spending-breakdown
$30B ARR April 2026: https://www.saastr.com/anthropic-just-passed-openai-in-revenue-while-spending-4x-less-to-train-their-models/
commands 40% of enterprise LLM spending: https://www.deepresearchglobal.com/p/anthropic-company-analysis-outlook-report
xAI References
$7.8B Spend over 2025: https://futurism.com/artificial-intelligence/elon-musk-xai-money
~$1B/month current burn rate: https://www.irishtimes.com/business/2026/01/09/musks-xai-reports-146bn-quarterly-loss/
Nvidia References
$130.5B revenue, $72.9B net income (Jan 2025): https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=NVDA
Mistral AI References
$400M+ by Jan 2026: https://sacra.com/c/mistral/
$3.3B funding | loss loosely estimated from funding + industry burn ratios: https://research.contrary.com/company/mistral-ai
Cohere AI References
~$1B total funding | loss loosely estimated from funding + industry burn ratios: https://sacra.com/c/cohere/
Oracle References
431% capex growth 2022–2025 from $6.7B to $35.5B: https://www.communicationstoday.co.in/oracle-ramps-up-ai-ready-data-centre-investments-with-431-capex-surge/
$50B FY2026 capex plan for AI: https://www.ciodive.com/news/oracle-capex-spike-cloud-ai-data-center/807721/
$300B five-year Stargate contract with OpenAI: https://www.ainvest.com/news/oracle-ai-driven-cloud-expansion-financial-risks-assessing-sustainability-capital-expenditures-debt-load-2512/
DeepSeek References
R1 trained for $294K — excludes $6M base model (V3) cost. Published in Nature.: https://mlq.ai/news/deepseek-reveals-r1-model-training-cost-just-294000-in-peer-reviewed-nature-publication/
$220M ARR by mid-2025 from API + enterprise services: https://electroiq.com/stats/deepseek-ai-statistics/
$45B valuation from first investment round: https://techcrunch.com/2026/05/06/deepseek-could-hit-45b-valuation-from-its-first-investment-round/
-$291B
lost since page load
-$6K
Alphabet (Google)
Full AI capex est. since 2022
$287B
$25B
-$262B
lost since page load
-$5K
Microsoft
Full AI capex est. since 2022
$266B
$31B
-$235B
lost since page load
-$5K
Meta
Full AI capex est. since 2022
$230B
$3B
-$227B
lost since page load
-$5K
Oracle
Cumulative est. since 2023
$57B
$18B
-$39B
lost since page load
-$978
OpenAI
Cumulative est. since 2020
$55B
$28B
-$27B
lost since page load
-$456
Anthropic
Cumulative est. since 2021
$33B
$6.5B
-$26.5B
lost since page load
-$283
xAI
Cumulative est. since 2023
$20B
$0.8B
-$19.2B
lost since page load
-$391
Mistral AI
Cumulative est. since 2023
$1B
$0.4B
-$0.6B
lost since page load
-$9
Cohere AI
Cumulative est. since 2020
$0.7B
$0.4B
-$0.3B
lost since page load
-$3
DeepSeek
Cumulative est. since 2023
$0.3B
$0.1B
-$0.2B
lost since page load
-$6
Nvidia
Cumulative est. since 2023
$225B
$478B
+$253B
earned since page load
+$4K
Page Updates Light ModeBuy Me a CoffeePrivacy Notice
WHY I BUILT THIS
Many industry experts and companies claim AI profitability by 2030 is possible, so I wanted to see how close we really are. This site tracks cumulative spend versus revenue across most major AI companies in one place, allowing you to see approximately how much money is flowing into the industry and how far it is from breaking even.
I'll be updating these numbers monthly as new reports and financials drop. Perhaps one day, the big "NO" will become a "YES," and the question will finally be answered :). So far? The big winner is NVIDIA, who is receiving huge profits from the AI boom by positioning itself as the primary chip supplier to the AI sector.
HOW THE NUMBERS WORK
All figures are estimated cumulative totals (all-time). Because most of these companies are private, the numbers aren't exact; instead, they are built from leaked financials, SEC filings, earnings calls, and industry estimates from sources like Bloomberg, the WSJ, The Information, and Epoch AI (all referenced at the bottom). The punchline 'EVERYONE IS BROKE' is intentionally punchy, but shouldn't be taken absolutely literally.
The site includes both, big tech infrastructure spend and pure lab spending, hence why companies like Amazon and Google have huge spend figures compared to the pure labs like OpenAI or Anthropic (big AI investments, not much direct AI revenue yet). It's important to note that the site tracks whether AI investment specifically has broken even yet, not company-wide profitability, hence why companies such as Amazon and Google look so far in the red despite being hugely profitable companies as a whole.
Spend numbers include direct R&D costs, compute, and capital expenditure on AI infrastructure (data centres, chips, and networking). Capex is treated as spend despite having long-term asset value; this is intentional. The framing shows the sheer scale of capital being committed to AI before returns materialise, rather than smoothing it across a depreciation schedule. Indirect AI revenue (E.g. Google Search performance boosted by AI Overviews, or Microsoft Office revenue lifted by Copilot) is excluded because there is no reliable way to attribute what share of those gains AI is actually responsible for. The $/sec counters use current annual burn rates rather than historical averages, to reflect what's happening right now.
Revenue numbers are the trickiest to estimate due to a lot less information on them being readily available. Thus, the revenue figures here are mostly estimated and extrapolated off of ARR figures. Currently, I'd say these numbers are more optimistic than anything, but I will be refining this over time as more information comes out.
DISCLAIMERS
The AI economy is circular: Google funds Anthropic, Anthropic runs on Google Cloud, Amazon funds Anthropic, Microsoft co-invests with OpenAI. This means aggregate industry figures double-count some revenue flows. This site is one person's best effort at an honest picture, not a financial audit. If you have better sources, please reach out, I want to improve this site as much as possible every day :).
CONTRIBUTING
If you have good sources for any of these numbers or want to contribute, please reach out at: isaiprofitable@outlook.com Built and maintained by one developer. If you find this useful, a coffee goes a long way! Buy me a coffee
SOURCES & REFERENCES
Alphabet (Google) References
$190B projected 2026 AI capex: https://www.statista.com/chart/35046/capital-expenditure-of-meta-alphabet-amazon-and-microsoft/
Cumulative capex 2022–2024 from SEC 10-K filings: https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=GOOGL
Google Cloud AI revenue est. ~40% of Cloud total: https://epoch.ai/data-insights/ai-companies-revenue
Meta References
$145B projected 2026 AI capex: https://www.statista.com/chart/35046/capital-expenditure-of-meta-alphabet-amazon-and-microsoft/
Cumulative capex 2022–2024 from Meta SEC 10-K filings: https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=META
Llama open source, Meta AI free — no direct AI product revenue: https://ai.meta.com/llama/
Amazon References
$100B+ 2025 capex — 'vast majority for AI/AWS': https://www.cnbc.com/2025/02/06/amazon-expects-to-spend-100-billion-on-capex-in-2025-mostly-on-ai-for-aws.html
$200B projected 2026 AI capex: https://www.statista.com/chart/35046/capital-expenditure-of-meta-alphabet-amazon-and-microsoft/
AWS AI revenue run-rate >$15B Q1 2026: https://finance.yahoo.com/sectors/technology/articles/amazon-says-annual-revenue-run-101958790.html
Microsoft References
$190B projected 2026 AI capex: https://www.statista.com/chart/35046/capital-expenditure-of-meta-alphabet-amazon-and-microsoft/
$37B AI revenue ARR confirmed May 2026: https://www.geekwire.com/2026/microsoft-tops-wall-street-expectations-reports-accelerating-azure-growth-and-37b-ai-run-rate/
$9B net loss 2025 ($22B spend vs $13B revenue): https://fortune.com/2025/11/12/openai-cash-burn-rate-annual-losses-2028-profitable-2030-financial-documents/
$Making $2B per month: https://www.saastr.com/anthropic-just-passed-openai-in-revenue-while-spending-4x-less-to-train-their-models/
Anthropic References
$5.6B lost in 2024: https://www.theinformation.com/articles/anthropic-openais-share-ai-startup-revenues-rises-89
$9.7B total 2025 expenses: https://epoch.ai/data-insights/company-spending-breakdown
$30B ARR April 2026: https://www.saastr.com/anthropic-just-passed-openai-in-revenue-while-spending-4x-less-to-train-their-models/
commands 40% of enterprise LLM spending: https://www.deepresearchglobal.com/p/anthropic-company-analysis-outlook-report
xAI References
$7.8B Spend over 2025: https://futurism.com/artificial-intelligence/elon-musk-xai-money
~$1B/month current burn rate: https://www.irishtimes.com/business/2026/01/09/musks-xai-reports-146bn-quarterly-loss/
Nvidia References
$130.5B revenue, $72.9B net income (Jan 2025): https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=NVDA
Mistral AI References
$400M+ by Jan 2026: https://sacra.com/c/mistral/
$3.3B funding | loss loosely estimated from funding + industry burn ratios: https://research.contrary.com/company/mistral-ai
Cohere AI References
~$1B total funding | loss loosely estimated from funding + industry burn ratios: https://sacra.com/c/cohere/
Oracle References
431% capex growth 2022–2025 from $6.7B to $35.5B: https://www.communicationstoday.co.in/oracle-ramps-up-ai-ready-data-centre-investments-with-431-capex-surge/
$50B FY2026 capex plan for AI: https://www.ciodive.com/news/oracle-capex-spike-cloud-ai-data-center/807721/
$300B five-year Stargate contract with OpenAI: https://www.ainvest.com/news/oracle-ai-driven-cloud-expansion-financial-risks-assessing-sustainability-capital-expenditures-debt-load-2512/
DeepSeek References
R1 trained for $294K — excludes $6M base model (V3) cost. Published in Nature.: https://mlq.ai/news/deepseek-reveals-r1-model-training-cost-just-294000-in-peer-reviewed-nature-publication/
$220M ARR by mid-2025 from API + enterprise services: https://electroiq.com/stats/deepseek-ai-statistics/
$45B valuation from first investment round: https://techcrunch.com/2026/05/06/deepseek-could-hit-45b-valuation-from-its-first-investment-round/