The AI lab behind ChatGPT and the GPT models; backed heavily by Microsoft and central to the current AI buildout.
| Indicator | Score | Band |
|---|---|---|
| Depreciation Integrity / Compute Cost Sustainability | 51 | AMBER (~48–55) |
| Capex-vs-Demand Gap (Burn vs. Revenue Sustainability) | 85 | RED (~82–88) |
| Insider-Selling Intensity | 17 | NOT APPLICABLE / LOW (~15–20) |
| Financing Opacity / Circular Leverage | 92 | RED (~90–95) |
| Energy & Diminishing Returns (Compute Efficiency) | 65 | AMBER–RED (~62–68) |
| Organic End-User Demand | 40 | GREEN–AMBER (~35–45) |
Q. You say OpenAI paid Microsoft $17.2 billion in 2025. OpenAI's revenue was $13.07 billion. So OpenAI paid its largest investor more money than it made in revenue. How is this a business and not a money-laundering operation in slow motion?
A. The $17.2B includes both actual compute costs (R&D $10.59B + CoR $6.047B) and is partially offset by Microsoft's equity stake appreciation. The compute is real — model training and inference for 900M weekly users requires that infrastructure. However, the circularity is undeniable: Microsoft receives more cash from OpenAI than OpenAI generates in revenue, while simultaneously holding a $135B equit
EVIDENCE: filed · scores from the engine · I5/I6 carry a score with no underlying instrument — stated where drilled.
Private — does not file. no public market and no SEC financial filings; nothing here is a coverage gap.
Private — does not report — no earnings calendar for a private company.
SEC filing stack. private — does not file with the SEC.
No Section 16 reporting. private companies have no Section 16 officers or Form-4 obligations.
| Announced cuts (2026) | 0 |
| Date | 2026 |
| Confidence | high |
| Attribution | NOT-AI |
| Driver | riding-the-boom |
| Source | scaling headcount |
Zero cuts — hiring aggressively. The compute buyer the incumbents are cutting to pay. The contrast.
No public ticker feed. private — the headline RSS route keys on a listed ticker.
Notes. held open — The desk has not ruled this slot.
Company data is compiled from primary sources — SEC filings, the fragility engine, and our own roster. Narrative summaries are AI-assisted; every figure comes from the record, not the model.