How agentic personalization creates enterprise advantage

About this episode

Peter Day discusses how agentic personalization in enterprise AI can create competitive advantages and reshape the software industry.

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 .

People in this episode

Host: Tom Chavez

Guest: Peter Day

Topics covered

• enterprise AI
• agentic personalization
• competitive advantage
• software architecture
• SaaS pricing models
• engineering jobs

Keywords

• enterprise AI
• agentic personalization
• competitive moats
• software architecture
• SaaS pricing
• engineering positions
• machine learning

Mentioned in this episode

Organizations: super{set}, Quantcast, California Privacy Notice, Privacy Policy

More episodes of The {Closed} Session

• Why sleep data may redefine healthcare AI · May 25, 2026 · 32 min
• How Culture Evolves as Companies Scale and Exit · May 11, 2026 · 31 min
• Why augmented intelligence (not automation) will define enterprise AI · April 13, 2026 · 32 min
• How auction theory is reshaping finance and compute trading · March 30, 2026 · 29 min
• How to systematically remove yourself as your business's biggest bottleneck · March 16, 2026 · 45 min
• The Path to Funding Your Next Great AI Startup Idea · March 2, 2026 · 29 min