Post by Dr. Cecilia Dones

International Bestselling Author | AI Expert & Educator | Helping Leaders Navigate AI Under Ambiguity | Speaker & Advisor

š—”š—œ š—½š—æš—¼š—ŗš—¶š˜€š—²š˜€ š—°š—¼š—»š˜€š˜‚š—ŗš—²š—æš˜€ š—æš—®š—±š—¶š—°š—®š—¹ š—½š—²š—æš˜€š—¼š—»š—®š—¹š—¶š˜‡š—®š˜š—¶š—¼š—». š—§š—µš—² š—æš—¶š˜€š—ø š˜š—¼ š—Æš—æš—®š—»š—±š˜€ š—¶š˜€ š—æš—®š—±š—¶š—°š—®š—¹ š˜€š—®š—ŗš—²š—»š—²š˜€š˜€. 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. š—–š—¼š—»š˜€š˜‚š—ŗš—²š—æš˜€ š—“š—²š˜ š—® š—½š—²š—æš˜€š—¼š—»š—®š—¹š—¶š˜‡š—²š—± š—²š˜…š—½š—²š—æš—¶š—²š—»š—°š—² š—¼š—³ š—¶š—»š—°š—æš—²š—®š˜€š—¶š—»š—“š—¹š˜† š—¶š—»š—±š—¶š˜€š˜š—¶š—»š—“š˜‚š—¶š˜€š—µš—®š—Æš—¹š—² š—¼š—½š˜š—¶š—¼š—»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

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