Sources: Mira Murati's Thinking Machines Lab is in talks to raise $1B+ at a $40B+ pre-money valuation, lower than the $50B+ valuation it sought last year
Thinking Machines Lab, the AI developer led by ex-OpenAI chief technology officer Mira Murati, is in talks to raise at least $1 billion …
Context & Ripple Effects
Thinking Machines Lab’s financing ambitions moved quickly from a reported $1 billion raise at roughly $9 billion in February 2025 to a reported $2 billion financing at a $10 billion valuation in June. The lab has also told investors it intends to build custom models for business KPIs and a consumer product.
By November 2025, sources said the company was seeking about $5 billion at a valuation of at least $50 billion. The reported $40 billion-plus terms therefore put its next negotiation below that earlier $50 billion valuation goal, while TML has a single-digit-billion-dollar Google Cloud agreement for access to AI systems built on Nvidia GB300 chips.
First-order effects
- The reported $40 billion-plus pre-money valuation sets a lower reference point for Thinking Machines Lab and prospective investors than the $50 billion-plus target discussed in November 2025.
- Potential investors must price TML’s next round against its model and consumer-product plans, as well as the capital demands implied by its Google Cloud arrangement.
Second-order effects
- If completed, a $1 billion-plus round would strengthen Thinking Machines Lab’s capacity to finance cloud access and model development, making Google Cloud a better-funded infrastructure supplier to the lab.
- The gap between TML’s prior valuation objective and its reported new terms gives investors greater leverage to scrutinize frontier-lab pricing against operating needs rather than founder pedigree alone.
Third-order effects
- If similar repricing spreads, frontier AI financing will concentrate further among labs that can pair high valuations with credible access to compute, shifting negotiating power toward capital providers and infrastructure partners.
- TML’s path shows that large private AI rounds can remain available even as valuation expectations reset, making financing terms—not just headline valuations—a more important signal of frontier-lab durability.
The trend: Frontier AI labs are entering a capital cycle in which access to expensive compute sustains large rounds, but investors are imposing more discipline on valuation targets.