A research lab becoming an enterprise software company gets better revenue and a different institution.
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Why the cheap model got expensive and the expensive models got cheap.
Why a 55-year first tells you more than the guidance does.
Tesla is a carmaker and an autonomy option wearing one ticker. Value them separately.
The pivot to consciousness research is risk management, not metaphysics. What it signals for AI governance.
The market stopped paying for AI ambition and started pricing its cost. Buyers down, suppliers up.
A compute shortage that binds the richest buyers inverts the bubble thesis. Own the constrained layer.
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Elite researchers are now a priced asset class. How to read the frontier-AI talent trade.
Frontier models are now controlled technology. How to price the political-access premium and risk.
OpenAI's pause is the first real test of whether public markets will fund AI's cash burn.
IBM rescued the scaling roadmap. The durable margin sits with the foundries and the enablers.
OpenAI's first chip is a margin play on inference. How to price the vertical-integration race.
A risk-repricing, not an earnings-repricing. How to read the most crowded trade's first real drawdown.
A state mandate is splitting global compute into two non-fungible stacks. Where the value moves.
A non-binding post added tens of billions to Intel. The real value is foundry credibility.
Apple just conceded pricing power to its supply chain. Where the economics move next.
Where value and margin actually accrue as AI gets repriced on unit economics.
How a newly public mega-cap used paper to buy its way into AI coding.
Why the AI buildout is gated by firm power, and how to price the bottleneck.
