TechCrunch host Kirsten Koro examined the widening divide between artificial intelligence insiders and the general public in a recent Equity podcast episode [1].
This gap reflects a trend where critical AI advancements and corporate shifts remain hidden from public view while being shared among a small circle of elite players. The disparity suggests that the public's understanding of AI capability may lag significantly behind the actual state of the technology.
Koro said OpenAI's recent acquisition spree suggests a strategic move to consolidate power and resources [1]. This trend of aggressive expansion is mirrored by unconventional corporate pivots in the sector. One unnamed shoe company has reportedly rebranded itself as an AI infrastructure play to capitalize on the current market boom [1].
The podcast also highlighted a specific instance of restricted access involving Anthropic. The company developed a new model that it deemed too powerful for a general public release [1]. Despite this restriction, the model was demonstrated to Federal Reserve Chair Jerome Powell [1].
Such dynamics contribute to what the episode describes as "token-maxxing" — a process of optimizing AI outputs that may be leading the industry toward a dead end or an opaque future [1]. The conversation emphasizes how the intersection of high finance and restricted technology creates a layer of secrecy around the tools shaping the global economy [1].
“The public's understanding of AI capability may lag significantly behind the actual state of the technology.”
The ability of AI labs to selectively demonstrate 'too powerful' models to government officials like the Federal Reserve Chair, while withholding them from the public, creates an information asymmetry. This suggests that AI governance may be happening in private corridors rather than through transparent public policy, potentially shielding the industry from early regulatory scrutiny.
