Moat in Expert Supply and Workflow
Office Hours
The real moat is not the AI interviewer, it is control of expert supply and the workflow around it. Voice interviewing is already cheap and widely available, so a large buyer can replicate the software layer, but replacing a marketplace still means sourcing experts, checking credentials, handling scheduling, payments, and compliance, and keeping enough high quality people engaged that research teams can get answers quickly.
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Office Hours itself frames AI interviewing as a commodity and expects large customers, especially hedge funds, to prefer their own interviewer logic trained on internal questions and past transcripts. That makes software fees easier to squeeze than marketplace take rates tied to access and operations.
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The concrete work a marketplace still does is messy and operational. Traditional networks built large service teams to find experts, persuade them to participate, schedule calls, and manage trust and compliance. Office Hours tries to productize that flow, but an internal build still has to solve the same problems.
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There is precedent for fee pressure once the market gets more software driven. Tegus won share by charging calls closer to cost, below GLG style pricing, while bundling transcripts into subscriptions. That shows buyers will unbundle sourcing, interviews, and content if a cheaper workflow appears.
The market is heading toward a split. Large institutions will own the interviewing brain, but specialized networks will keep winning where expert discovery, trust, and liquidity matter most. Office Hours' path is to become the system that reliably turns hard to reach expertise into usable interactions, whether the interview is run by its own software or the customer's.