Intelligence will be the largest input to the economy. That makes the most important questions in AI economic ones:
How do we fund the data-center buildout? How do companies make AI profitable? How are the gains from AI distributed?
These aren't abstract. Companies are already reckoning with them:
- What's the actual ROI on all this AI spend?
- How do we rein in costs that are still climbing?
- How do we hold frontier performance without owning a frontier model — and what happens if the best models go to our competitors, or compete with us directly?
Best-execution is the optimization pressure that answers all of them: allocative efficiency for the largest input to the economy. You don't want a model or a router. You want a guarantee that you're always getting the best ROI on intelligence.
The questions are fundamentally economic. The answers are fundamentally ML. We're doing both.
We're ex-quant to understand the problem structure, and ex-Anthropic and ex-DeepMind to solve it.
See our research and contact our team at research@thesean.ai
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