Post by Dr. Cecilia Dones
International Bestselling Author | AI Expert & Educator | Helping Leaders Navigate AI Under Ambiguity | Speaker & Advisor
šš š½šæš¼šŗš¶šš²š š°š¼š»šššŗš²šæš šæš®š±š¶š°š®š¹ š½š²šæšš¼š»š®š¹š¶šš®šš¶š¼š». š§šµš² šæš¶ššø šš¼ šÆšæš®š»š±š š¶š šæš®š±š¶š°š®š¹ šš®šŗš²š»š²šš. These two things are happening simultaneously at different layers of the same system. At the surface, AI recommendation engines are genuinely personal. They know viewing habits, purchase patterns, search history. They surface options calibrated to the individual. Beneath that surface, something else is happening. Every brand optimizing for the same machine-readable signals starts to look identical to the AI systems doing the recommending. Structured data. Authoritative content. Clear categorical positioning. The optimization is individually rational. The collective outcome is a market where AI cannot meaningfully distinguish between competitors. šš¼š»šššŗš²šæš š“š²š š® š½š²šæšš¼š»š®š¹š¶šš²š± š²š š½š²šæš¶š²š»š°š² š¼š³ š¶š»š°šæš²š®šš¶š»š“š¹š š¶š»š±š¶ššš¶š»š“šš¶ššµš®šÆš¹š² š¼š½šš¶š¼š»š. There is a name for this. And there is a historical precedent that explains exactly why it is so hard to escape once it starts. New essay this week. Share if it changes how you think about AI and brand strategy. #3StandardDeviations