OpenAI
Foundation models & AI labs · https://openai.com
Verdict: Hold · Confidence: medium · Reviewed 2026-10-15
Category leader with very large reported revenue, but private financials, heavy compute commitments, and inconsistent run-rate reporting keep this a Hold for vendors-as-investments; as a supplier it is clearly durable.
Rubric
| Dimension | Score (1–5) | Notes & sources |
|---|---|---|
| Real customers & revenue quality Are there named paying customers, recurring revenue, and retention evidence? | 5/5 | Reuters (citing The Information) reported >$25B annualized revenue at end-Feb 2026, with $10B from enterprise AI per a Reuters source; Reuters later reported ~$50B September run rate, lower than earlier signals.
|
| Unit economics Do gross margins survive inference/compute costs? Is pricing durable? | Unknown | Private company; gross margin and inference costs not publicly disclosed. |
| Moat Proprietary data, distribution, switching costs, or tech that is hard to copy? | 4/5 | Scale, brand, and distribution (ChatGPT) are strong; model capability lead is contested by Anthropic and Google.
|
| Platform risk Could a model provider or incumbent ship this as a feature? (higher score = lower risk) | 4/5 | OpenAI is itself a platform; risk is mostly competitive (Reuters notes Anthropic seen as ahead in enterprise).
|
| Team & execution Shipping cadence, leadership track record, stability. | 4/5 | Rapid shipping and enterprise push via consulting partnerships reported by Reuters.
|
| Funding vs. traction Is capital raised justified by verifiable traction? | 3/5 | Very large private funding (last reported $852B post-money per Reuters) against large but fast-growing revenue.
|
| Hype signals Demo-driven marketing, vague metrics, valuation outrunning evidence? (higher score = fewer red flags) | 2/5 | Reuters reported a discrepancy between the ~$70B run rate investors circulated and the ~$50B OpenAI told investors — a hype signal.
|
Listing source: https://openai.com. Revenue, users, and valuation figures appear only when publicly sourced; otherwise they are marked unknown.