90% of people using AI are using it wrong — and it's not their fault.
Harvard Business Review just published one of the most important AI studies I've seen. They tracked 2,500 employees at KPMG over 8 months. Analyzed 1.4 million AI prompts. The finding: 90% adopted AI. Only 5% use it with any sophistication. That's not a training problem. KPMG already trained these people. They had access, they had tools, they had support. And still — 85% of them are basically using a Ferrari to drive to the mailbox. Here's what surprised me most: how often you use AI has almost nothing to do with how well you use it. The "just use it more" advice is dead. The study killed it with data. The 5% who actually get results? Four things set them apart: 1. They treat AI as a reasoning partner, not a search engine 2. They delegate complex, multi-step tasks — not one-off questions 3. They define roles, constraints, and success criteria before they prompt 4. They use AI as a general-purpose thinking tool across their whole job — not just for writing emails And here's the part that matters for everyone in this community: the sophisticated users were almost all experienced professionals. Not the youngest people in the room. Not the most "tech-savvy." The people with the deepest understanding of their work. Your experience IS the advantage. Contextual range — knowing what good looks like because you've seen bad — is what makes AI actually useful. AI doesn't replace your judgment. It amplifies it. But only if you know how to think with it, not just use it. The 85% gap isn't going to close with better prompts or more YouTube tutorials. It's going to close when people stop treating AI as a tool and start treating it as an extension of how they think. That's what we're building here. **What's your experience?** Are you in the 5%, the 85%, or somewhere in between? And what do you think is actually holding most people back?