a16z’s David Haber Outlines Revenue Models for Long-Running AI Agents

AI agents that manage work over weeks or months could support business models tied to revenue growth, a16z General Partner David Haber said, describing possible uses in insurance, mortgages and plaintiff law firm case preparation. Haber said these agents can handle dozens of steps and different forms of interaction. AI had previously handled mostly short tasks with clearly defined boundaries, while customer service advanced sooner because results are easier to verify and people can take over unusual cases.

BeCrypto News shows a short excerpt and links to the publisher. The full report belongs to TokenPost.