OpenAI and Anthropic have both completed multiple rounds of substantial financing in the San Francisco Bay Area and rapidly iterated their models. This record-breaking super round continues their long-term reliance on the Bay Area's network effects and capital aggregation. Anthropic, founded by former OpenAI members, further strengthens this region's internal cycle.

On the capital path, a large amount of institutional funds continues to concentrate on a few leading labs, diluting early investors' shares through super rounds while locking in top talent and computing resources. The strategic motive is that under a winner-takes-all market structure, only a sufficiently large capital pool can support the training costs of the next generation of foundational models.

This phenomenon is similar to Silicon Valley's monopoly on mobile application investments during the 2010s and the earlier PC era. The current AI industry is in a phase of extreme concentration of capital and talent towards core hubs, rather than decentralization.

Structural Judgment: Essentially, this is about capital concentration. Super financing rounds and geographic aggregation mutually reinforce each other, creating a positive feedback loop: more funds attract more top talent and data, further driving up valuations and squeezing out other regions. This mechanism is particularly pronounced during periods of significant technological paradigm shifts, leading to a high concentration of global AI resources towards a few nodes.

ABAB News · Law of Cognition

Capital always chases certainty; winner-takes-all is certainty itself.
Geographic aggregation is not a cost, but the fastest lever for compounding.
Decentralization is an ideal; concentration is reality; whoever breaks the concentration first may reshape the rules.