Citrini proposes an AI regulation hedging strategy: go long on listed companies utilizing the latest AI and short the general market.

According to 动察 Beating monitoring, research institution Citrini Research predicts that the distribution of leading AI models will fully shift to a government approval-based access system. They recommend going long on downstream companies that are more likely to be granted access to the latest models, and short broad-based indices.

Regulatory access for large models will directly widen the productivity gap between enterprises. As OpenAI requires organizations to disclose participation for early internal testing of the flagship model GPT-5.6 Sol, leading models are transitioning from general-purpose infrastructure to government-controlled licensed resources. Since broad-based indices include many traditional companies unable to benefit from AI, the performance of the main market indices will be dragged down.

On the other hand, a few downstream licensed companies approved for access will achieve excess growth. Going long on the group of licensed approved companies while shorting main market indices can help investors hedge market risks and capture the efficiency gains brought by regulatory barriers.