The AI Efficiency Trap with Robert Craven

Measuring return on investment solely by hours saved creates pressure to lower prices. Agencies must instead reposition AI as a revenue multiplier for higher performance.

Firms should move away from selling labour by, for instance, productising anonymised industry data and adopting Agent-as-a-Service models. This creates essential infrastructure integration rather than hourly commodity competition.

Specialising in specific industries allows firms to build custom, high-value workflows.

Innovation is now prioritised over simple task acceleration to ensure scalable business growth.