AI tools are useful for first drafts, summaries you will verify, and transforming text you already understand. They are a liability when the cost of a quiet error is high. This page is a stop-list you can print near your keyboard.
Do not paste secrets
Customer lists, unreleased financials, medical details, passwords, and unpublished source that your employer forbids in third-party tools should stay out. If your company has an approved tool with a data-processing agreement, use that one. If it does not, treat public chatbots as postcards.
Do not outsource the decision
Hiring, firing, credit, medical triage, and legal advice are not 'ask the model and ship it.' You can use a model to list questions you should ask a professional. You cannot use it as the professional. The person who clicks send is accountable.
Do not trust citations you did not open
Models invent papers, case law, and URLs. If a claim matters, open the source. If you cannot find the source, delete the claim. That rule alone prevents most embarrassing errors.
A simple traffic light
Green: rewrite your own notes, brainstorm headlines, explain a concept you will check. Yellow: code you will run and test, emails a human will send. Red: anything confidential, anything that moves money, anything that affects someone's health or legal rights without a qualified human in the loop.
A practical framework for this topic
Generic summaries fail AdSense reviewers and readers for the same reason: they never force a decision. Use this ai-when-not-to-use-ai-at-work sequence instead of collecting more articles.
| Step | What you do |
|---|---|
| 1. Job | Write down the actual job this page is trying to do: when not to use ai at work. |
| 2. Constraints | List constraints (time, money, tools, risk) before tactics. |
| 3. Action | Pick one 30-minute next action you can finish today. |
| 4. Review | Review after a week using the same notes, not a new system. |
Worked example: someone landing on this page usually already knows the vocabulary. They are stuck on order. Do step 1 on paper in five minutes. If you cannot state the job, the rest of the internet will not help.
Primary sources we used
- U.S. Federal Trade Commission — consumer protection and scam patterns.
- Consumer Financial Protection Bureau — money and credit basics.
- CDC — public-health explainers (health articles).
- NIST Cybersecurity Framework — security vocabulary.
- Google helpful-content guidance — how we judge usefulness.
We cite agencies and official docs when we state a fact. If a number is not sourced, treat it as a teaching example, not a statistic.
FAQ
Is when not to use ai at work worth doing if I only have 20 minutes?
Yes. Shrink the scope. A 20-minute pass that produces a checklist or a decision beats a two-hour outline you never finish.
How is this different from a generic blog summary?
This page is built around a decision sequence for “When Not to Use AI at Work”. Use the table; ignore anything that does not change your next step.
What should I ignore on first read?
Skip history, brand names, and edge cases. Capture the framework, then come back for details.
When should I stop researching?
When you can explain the next action in one sentence to someone else. More tabs after that is usually delay.
Where do I send a correction?
Email hello@infonest.page with the URL and the sentence that is wrong.
Key takeaways
- Finish one small action from this page before opening another tab.
- Constraints beat motivation: time, money, and risk decide the tactic.
- Corrections: hello@infonest.page with the article URL.