Who He Is

Michael Simmons is a prolific thought leadership educator and writer with over 100 million article views, best known for his blockbuster content strategy and deep research into how knowledge entrepreneurs generate non-obvious insight. He founded blockbuster.thoughtleader.school and spent years building a systematic craft science for idea development — studying the cognitive operations behind insight generation, running A/B tests on titles, and developing frameworks for paradigm-diverse thinking. He was invited as a guest to the March 19, 2026 mastermind session because his journey from manual long-form writing to AI-first knowledge architecture mirrors the evolution the PowerUp group is navigating.

Sessions

  • 2026-03-19_Mastermind — Presented the Paradigm Collision framework (400+ categorized paradigms, parallel agents, elimination tournament), argued that ideas are the primary currency of thought leadership (not content), and described his current experiment with transparent AI-first authorship as a resolution to the voice-mimicry problem.

Characteristic Contributions

  • Paradigm Collision framework — a systematic method for generating non-obvious insights by deploying parallel AI agents across a curated encyclopedia of 400+ paradigms, then running an elimination tournament to surface the insights that no single perspective could produce alone. The theoretical grounding is James Surowiecki’s Wisdom of Crowds: diverse, independent perspectives cancel each other’s blind spots.
  • Blockbuster content strategy — quality concentration over volume, inspired by Harvard professor Anita Elberse’s research showing that blockbuster releases consistently outperform the long tail across all media. Michael’s average Forbes article got 10x the platform average; his Medium articles averaged 200,000+ readers.
  • Ideas as the primary currency — a reframe of thought leadership: the books and articles that made Kevin Kelly, Cal Newport, and Mel Robbins famous were catalysts for spreading ideas, not the ideas themselves. With AI commoditizing content production, the remaining bottleneck is idea quality.
  • Transparent AI-first authorship — instead of trying to get AI to mimic his voice (which he found frustrating and fragile), Michael now experiments with publishing articles that are openly AI-generated and editorially curated by him. He argues this is more honest than AI-mimicked voice and may serve the audience better.
  • AI curator archetype — described an emerging role for knowledge entrepreneurs: someone whose primary skill is having high-quality AI conversations, surfacing the ideas that emerge, and publishing them with transparent editorial attribution. The group tried naming this role (“cairator,” “Curaitor”) but noted no settled term exists yet.
  • Claude Code as the missing piece — recounted his journey from hundreds of prompts and Make.com automations (which break constantly and can’t handle recursive learning) to Claude Code, which he described as the first tool that lets him create systems for knowledge work rather than just individual outputs.

Insights He’s Quoted or Referenced In

External