• Asymmetric Capital Partners plans to back a “second wave” of AI companies focused on domain depth, trust, and workflow execution.
• Strategy targets high-stakes enterprise categories such as healthcare documentation, insurance claims, and legal workflows rather than model development.
• Investment thesis leans on sharply lower inference costs, cited as falling to USD 0.07 per million tokens for GPT-3.5-level performance.
• Approach assumes enterprise demand is shifting from “whether to use AI” toward vendor selection for narrow workflows with clear accountability.
• Key risk centers on whether large model labs can retain advantage by moving into agents and vertical products using capital and distribution.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Asymmetric Capital Partners published the original content used to generate this news brief on September 22, 2026, and is solely responsible for the information contained therein.