What generative AI is (and isn't)

The short version

Generative AI tools such as ChatGPT, Claude, Gemini and Microsoft Copilot are large language models. They were trained on enormous amounts of text and learned to predict what words are likely to come next. That simple skill, at massive scale, lets them draft emails, summarize documents, brainstorm ideas, write code and answer questions.

What they are good at

• First drafts. Turning a rough idea into a structured starting point in seconds.
• Summarizing and reformatting. Condensing long documents, turning notes into tables, changing tone.
• Brainstorming. Generating many options quickly so you can choose and refine.
• Explaining. Breaking down unfamiliar topics at whatever level you ask for.

Where they fall short

• They can be confidently wrong. A model can produce a plausible-sounding answer that is false. This is often called a hallucination.
• They may not know recent events unless the tool is connected to search or your files.
• They don't know your context unless you give it to them.
• They do not replace judgment. You are responsible for what you send, publish or decide.

The mindset that works

Treat AI like a fast, capable new colleague on their first day: great at producing work, but they need clear instructions and their work needs review.