The data you share with AI tools is increasingly the data of your professional thinking. Who holds that data is not a small question. It's basic professional hygiene in 2025. Learn how to transfer data from one AI tool to another

We often act like AI was born in late 2022. It wasn’t. It was just hiding in plain sight. For the last decade, you’ve been training and using "narrow" AI every single day. Your Phone’s Keyboard: When you type "Good," and it suggests "Morning," that’s a prediction model. Amazon & Netflix: "Because you watched The Office, you might like Parks and Rec." That’s a behavior prediction model. Google Search: When you start typing and it finishes your sentence? Predi

AI doesn’t run conferences. People do. But AI can: Hold structure when things get chaotic Maintain continuity across months of planning Reduce invisible cognitive labour And cognitive labour is the most expensive, least acknowledged part of leadership today.

Did you know you can train your AI? Most modern tools (like ChatGPT or Gemini) now have a Memory feature or "Custom Instructions." This is a game-changer. If you don't use this, every time you open a new chat, the AI has amnesia. It doesn’t know who you are, what you do, or what you care about. You have to explain context all over again. Exhausting. Instead, you need to feed it context so it "remembers" you across conversations.

Prompt engineering is not merely about generating text; it is about cognitive extension. It allows a physician to scale their ability to communicate, educate, and analyze data. The barrier to entry is low, but the ceiling for mastery is high. Those who invest in learning the syntax of this new intelligence will find themselves with a powerful partner in practice. Those who ignore it may find themselves increasingly burdened by the administrative weight that their AI-litera