Thinking With AI

AI is already in the workplace. Not someday. Not after the next strategic planning meeting where twelve people say “alignment” and everyone pretends that helped. It’s here now. People are using it to write emails, summarize meetings, draft reports, analyze data, screen applicants, answer customers, and make decisions look cleaner than they really are. That’s the part worth paying attention to. Responsible AI doesn’t mean putting a scary policy document in a shared folder and

Artificial intelligence has a talent for making things feel settled before they really are. That is part of its usefulness. It gives you something to react to. It helps break inertia. It can organize a messy thought, draft a rough response, compare options, summarize a pile of information, and get you moving when a blank page is just sitting there mocking you. But there is a trap in that usefulness. A clean answer can still be wrong. That may be one of the most important thin

ChatGPT sounds confident. That’s part of the problem. It answers quickly. It writes smoothly. It rarely hesitates. And because it rarely signals doubt, it’s easy to assume it’s right. But confidence is not the same thing as accuracy. So can you trust ChatGPT’s answers? Yes — and no. The key is understanding what it’s actually doing. What ChatGPT Gets Right ChatGPT is very good at: Summarizing information Explaining general concepts Rewriting text clearly Brainstorming ideas O