How agentic personalization creates enterprise advantage

Most enterprise AI delivers generic responses when you need role-specific intelligence. Peter Day, General Partner at super{set} with a PhD in machine learning and 8 years leading product at Quantcast, breaks down why agentic personalization creates unbreachable competitive moats. He reveals the architectural patterns for building software that learns individual preferences in real-time, explains why role collapse will eliminate 60-80% of traditional engineering positions, and details the shift from seat-based SaaS pricing to outcome-driven models that compound user value.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Episode metadata supplied by the publisher feed · Published May 4, 2026

What this episode covers

Most enterprise AI delivers generic responses when you need role-specific intelligence. Peter Day, General Partner at super{set} with a PhD in machine learning and 8 years leading product at Quantcast, breaks down why agentic personalization creates unbreachable competitive moats. He reveals the architectural patterns for building software that learns individual preferences in real-time, explains why role collapse will eliminate 60-80% of traditional engineering positions, and details the shift from seat-based SaaS pricing to outcome-driven models that compound user value. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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