人間の思考が介在する領域を狙え | Algomatic CEO 大野峻典

Algomatic CEO Ono Takanori argues the AI opportunity is in judgment-heavy work IT never automated, and that context data is the durable moat.

• Founded Algomatic immediately after ChatGPT’s late-2022 launch, betting the opportunity was in applications, not model development.
• Core thesis: target tasks where human judgment blocked automation — distinct from traditional IT, which only handled rule-based, logic-definable work.
• Exit rule: any new business failing to reach ¥5M monthly revenue within 6 months is cut; only bets with 90%+ conviction survive.
• Current moat is speed — demand far outpaces supply, so reaching customers first matters more than feature differentiation.
• Future moat is context data: accumulated operational context creates Salesforce-style switching costs that are nearly impossible to migrate away from.
• Entire teams — including engineers and designers — do the actual domain job (e.g., inside sales) before building automation for it.
• LLM cost optimization is deprioritized for new products; models halve in cost annually, so always use the best available model now.
• CEO spends over half his time on hiring and personally conducts final interviews for every full-time offer.

2025-12-17 · Watch on YouTube