OpenAI’s ambitious $100 billion funding round at an $830 billion valuation faces growing headwinds as projected 2026 losses of $14 billion give investors pause.
The Financial Reality
| Metric | Figure |
|---|---|
| Funding Target | $100 billion |
| Target Valuation | $830 billion |
| Projected 2026 Revenue | ~$12 billion |
| Projected 2026 Losses | $14 billion |
| Cumulative Losses to Profitability | $44 billion (est.) |
Investor Concerns
NVIDIA’s pause on its $100 billion commitment reflects broader concerns:
- Business discipline: Jensen Huang has privately criticized OpenAI’s approach
- Competition: Google’s Gemini and Anthropic’s Claude are closing gaps
- Unit economics: Inference costs remain challenging at scale
- Revenue concentration: Heavy reliance on API and ChatGPT subscriptions
The Path to Profitability Problem
As we analyzed in OpenAI’s Hardest Business Model Pivot Yet, the company needs to build five revenue engines simultaneously:
- Consumer subscriptions (ChatGPT)
- API/developer platform
- Enterprise solutions
- Advertising (newly launched)
- Agent commerce
The challenge: these engines often conflict with each other strategically.
Who’s Still In
- Amazon: Reportedly in talks for up to $50B, expanding compute deal
- Microsoft: Existing $13B+ investment, 27% equity stake
- SoftBank: Part of Stargate consortium
The Broader Signal
When the primary compute supplier questions whether the business model works, it’s a signal the market takes seriously. OpenAI’s challenge isn’t capability — it’s proving frontier AI can be profitable at scale.
For complete analysis, read OpenAI’s Hardest Business Model Pivot Yet on The Business Engineer.









