How AI-Ready Are You, Really? 10 Honest Questions

Ask people to rate their AI readiness and you get vibes: enthusiasts overrate themselves, careful people underrate themselves, and almost everyone confuses "I've used ChatGPT" with "I'm ready for how work is changing".

Readiness isn't a feeling. It's a set of behaviours — things you either did this month or didn't. Here are ten questions that measure it honestly. Count your yeses; no partial credit.

The Ten Questions

1. Did you use an AI tool for real work (not play) in the last week? Regularity is the foundation. Monthly dabbling builds nothing.
2. Can you name a task where AI saves you 30+ minutes, every time? Ready people have specific wins, not general enthusiasm.
3. Have you caught an AI being confidently wrong — and would you catch it again? If you've never seen a hallucination, you haven't looked. Verification instinct is the difference between using AI and being used by it.
4. Can you explain, in one sentence, what an LLM actually does? "Predicts the next word, very well" passes. If you can't, spend ten minutes with Micro LLM — it's the fastest fix on this list.
5. When output disappoints, do you change your input — or give up? Iterating on prompts is the core skill. Giving up after one generic answer is the most common failure pattern we see in training.
6. Do you know what you should never paste into a public AI tool? Client data, credentials, unreleased financials. Judgement about inputs is readiness; enthusiasm without it is a liability (see The Order of Operations for Safe AI).
7. Have you tried a new AI tool in the last month? Not switched — tried. The market moves monthly; ready people sample it (our directory makes this a ten-minute habit).
8. Could you teach a colleague one AI technique right now? Teaching is the test of actually knowing. "Watch this" beats "I've heard that".
9. Do you know which parts of your role AI does badly? Ready people have probed the edges and can name where the tools fail them. Only users of the tools know this.
10. Have you changed one workflow — not just one task — because of AI? The deepest question. Tasks are substitutions; workflows are redesigns. This is where the real gains live, and where mapping your role helps.

Scoring, Honestly

0–3: Explorer. Totally fine — and fixable fast. Your entire prescription is questions 1 and 5: one real task, daily, iterating when it disappoints. Two weeks changes your score.

4–7: Practitioner. You're ahead of most professionals. Your gap is usually depth — questions 4, 6 and 10. Understanding and judgement, not more tools.

8–10: Leader. Your next move isn't personal — it's multiplying: teach, run the weekly briefing, become the person who raises the team's floor. (That's also, not coincidentally, the profile employers now pay for.)

Get the Precise Version

These ten questions are the self-assessment. For the calibrated version, take Cocoon's free AI Readiness Score: 15 questions, 4 minutes, by voice or chat. It's behavioural (what you do, not what you feel), role-aware (a marketer and an engineer are scored differently), and calibrated for South and Southeast Asia rather than Silicon Valley assumptions. You get a score and concrete next steps for your level.

Then come back and read your next move at every level — and if a low score stings, read the five myths first. You're closer than you think.