AI changed more this year than most people noticed. Here are the three shifts that matter, a quick audit to see where you stand, and three predictions to get ahead of.
I wrote this at the halfway point of 2026 and refreshed it on November 1. If you’re still using AI the way you did in January, you’re behind, and this is the fastest way to catch up.
Three shifts, a two-minute audit, then what I’d get ready for next.
The smartest AI users stopped only asking AI questions. They build agents, workflows and loops that run while they sleep. The unit of work went from a single answer to a whole job done on its own.
The move: build one small agent that does a real task start to finish. My how I build AI agents guide walks you through it.
A year ago the skill was writing the perfect prompt. Now it’s giving AI the right context and setup so you can hand off the whole job. The win moved from the words you type to the environment you build around the model.
The move: stop starting from a blank box. Save reusable context, and trim what you already have with my Context Cleanup Checklist.
The best AI users don’t have a favorite model anymore. They switch between Claude and ChatGPT depending on the task.
The move: learn which model wins at what. My best model for the task cheat sheet makes it a lookup.
Three honest checks. Every one you can’t tick is your next move.
For a real score instead of a gut check, paste this into Claude or ChatGPT, fill in the brackets, and it grades you on all three shifts and hands you your next three moves.
The Real Win
The people pulling ahead aren’t smarter. They updated their approach the moment the tools changed. Reading this, you just did too.
If you’re catching up from zero, start with Getting Started With AI, then run my 7-Day AI Starter.