Closing the Gap Between AI Investment and AI Impact with Max Haining, 100 School

Companies aren’t failing at AI because they lack tools. They’re failing because they’ve given people access without giving them a structured way to change how they actually work.

What you will learn:

• The mud at the wall phase: Why two years of experimentation has left most organisations with high spend, low impact, and no clear path forward
• The AIQ framework: The 12-behaviour model Max built after studying top AI users in San Francisco — and why it’s deliberately tool-agnostic
• The three core components: How to recognise AI opportunities, communicate with AI effectively, and evaluate outputs without falling into the trap of AI dumping
• What AI native actually means: The defining characteristic of the best teams Max has observed is that they are doing none of the same tasks they were doing two years ago
• The 15-minute methodology: Why short, consistent learning modules embedded in daily work outperform intensive workshops every time
• The cultural tipping point: How a shared Slack or Teams channel becomes the mechanism that pulls the whole organisation toward an AI-native mindset
• Pathways, not chaos: Max’s closing argument for sceptical mid-market leaders, and why structure and measurement are the two things that convert AI spend into AI results