When NOT to Use AI

When NOT to Use AI

Every AI newsletter tells you when to use AI. Almost none of them tell you when to stop. That's a problem, because using AI in the wrong situation doesn't just waste time. It creates risk.

Here's the honest guide to when AI makes things worse.

Never Use AI For These

• Final numbers. AI hallucinates statistics with total confidence. If a number matters (revenue, headcount, contract terms), verify it yourself. Every time.
• Legal or compliance decisions. AI doesn't know your jurisdiction, your contracts, or your regulatory environment. Use it to understand concepts, never to make the call.
• Sensitive HR situations. Writing a performance review? Drafting a termination plan? AI doesn't understand the human dynamics. Use it for structure, not judgment.
• Anything you can't verify. If you don't have the expertise to fact-check the output, you're trusting a confident guesser with your reputation.

Use AI With Caution For These

• Research. AI is a great starting point, not a finishing point. It will give you a plausible-sounding overview that may contain errors. Use it to know what to Google, not to replace Google.
• Customer-facing content. AI-generated text is increasingly detectable and often reads as generic. Use it for drafts and structure, then rewrite in your own voice.
• Strategy and creative work. AI is a great brainstorming partner and a terrible strategist. It gives you the average of everything it's seen. Strategy requires judgment, context, and conviction that AI doesn't have.
• Confidential information. Before pasting internal data into any AI tool, check your company's policy. Many enterprise AI tools have data protections. Free consumer tools may not.

Where AI Actually Shines

The sweet spot is boring, repetitive, low-stakes work where a mistake is easy to spot:

• Summarizing long documents (then verifying key points)
• Drafting emails and messages (then editing for tone)
• Reformatting data (then checking the output)
• Brainstorming options (then applying judgment)
• Explaining technical concepts in plain language
• Creating first drafts of templates, SOPs, and checklists

The Decision Framework

Before using AI for any task, ask three questions:

1. Can I verify the output? If no, don't use AI.
2. What happens if it's wrong? If the consequences are serious, use AI for the draft only and verify everything.
3. Am I saving time or creating work? If fixing the AI's output takes longer than doing it yourself, skip AI entirely.