TL;DR: This is a working self-assessment, not an essay. Answer the 7 questions below about what you actually do all week, write down the points next to each answer, and add them up. Your total lands you in one of four AI-exposure tiers — High Exposure, Reshaped, Augmented, or Resilient — the same tiers used in the AI-Exposure Index. Then follow the decision tree for your tier to a single, concrete reposition move you can start this quarter. The whole run takes about a minute. The point of the tool is to turn “AI is changing everything” into one decision you can act on. Treat your career like a company you run: diagnose, then deliberately reposition.
Most AI career advice tells you the weather. This tool hands you an umbrella. Below is a self-scoring quiz, a scoring key, and a branching decision tree that together convert the abstract question — “how exposed is my job to AI?” — into a personal action you can take in the next 90 days.
It is built to run statically: no app, no login, no spreadsheet. You read, you tally, you branch. The logic is the CEO + Student lens applied to one decision — diagnose your AI exposure like a CEO reads a risk report, then reposition like a student who knows the syllabus just changed. If you want the underlying ranking of which job categories sit in which tier, that lives in the companion AI-Exposure Index 2026. This page is the index turned into a move.
How to Use This Tool (60 Seconds)
- Grab a number. Open a notes app or use the margin of this page. You only need to track a running total.
- Answer for your real week, not your title. Score the work you actually did in the last seven days. Job descriptions lie; calendars don’t.
- Tally the 7 questions. Each answer has a point value in brackets. Add them as you go. Lowest possible score is 7; highest is 28.
- Read the Scoring Key. Match your total to a tier and confirm the description sounds like your week. If it doesn’t, re-answer the one question you hesitated on — borderline answers are where the tool earns its keep.
- Follow your tier’s branch in the decision tree. It routes you to a single 30/60/90-day move. Do that one thing. Don’t collect all four.
One rule before you start: exposure is not extinction. A high score is a signal to climb toward the part of your work AI cannot reach, not a reason to panic. The tiers below are momentum, not fate.
The Quiz (Score Yourself)
Answer all seven. Write the bracketed number next to each choice, then add them up.
Q1. How rule-based is your daily work?
Think about your highest-volume tasks — the things you do most often.
- (A) Mostly predictable: same inputs, same steps, a clear right answer. [4 points]
- (B) A mix of routine execution and case-by-case judgment. [2 points]
- (C) Mostly novel problems where the “right” answer is genuinely unclear. [1 point]
Q2. Do you direct AI tools, or compete with their output?
- (A) I don’t really use AI tools yet; my output is hand-made. [4 points]
- (B) I use AI occasionally, but it mostly does what I’d otherwise do myself. [3 points]
- (C) I actively direct AI — I prompt, review, correct, and decide what ships. [1 point]
Q3. How physical, embodied, or in-person is your role?
- (A) Almost entirely digital — it could be done from any laptop, anywhere. [3 points]
- (B) Partly physical or location-bound, partly screen-based. [2 points]
- (C) Heavily physical, hands-on, or requires being present with people in a room. [1 point]
Q4. How much does your job depend on trusted human relationships?
Care, persuasion, negotiation, mentoring, holding accountability with real people.
- (A) Rarely — I mostly produce outputs others consume without me. [3 points]
- (B) Sometimes — relationships matter but aren’t the core of the job. [2 points]
- (C) Constantly — the relationship is the work. [1 point]
Q5. When something goes wrong, who is accountable for the judgment call?
- (A) The process decides; I follow it, and escalations go elsewhere. [3 points]
- (B) I make some calls, but big ones go up the chain. [2 points]
- (C) The buck stops with me — I own ambiguous, high-stakes decisions. [1 point]
Q6. How much of last week’s output could a capable AI tool have drafted to 70%?
Be honest. Reports, code, designs, emails, analyses, summaries.
- (A) Most of it — 70% or more of my output. [4 points]
- (B) Roughly half. [2 points]
- (C) Little of it — under a quarter. [1 point]
Q7. How often does your role require fresh, context-specific judgment AI can’t look up?
Taste, edge cases, reading a room, deciding what not to do.
- (A) Rarely — my value is reliable execution of known tasks. [3 points]
- (B) Regularly, but it’s not the headline of my job. [2 points]
- (C) Daily — judgment in context is the whole point of my role. [1 point]
Now add your seven numbers. Your total is between 7 and 28. Take it to the Scoring Key.
The Scoring Key (Table → Your Tier)
Find your total in the first column. That is your tier today. The tiers mirror the four-tier structure of the AI-Exposure Index 2026, so the diagnosis and the ranked job map use the same language.
| Your score | Tier | What it means | The core move |
|---|---|---|---|
| 22–28 | Tier 1 — High Exposure | Your highest-volume tasks are rule-based, digital, and already replicable by AI. WEF names roles like this — data entry, routine admin, basic bookkeeping — among the fastest-declining. The work shrinks; the clock is a planning input, not a sentence. | Don’t defend the task — defend the outcome it produces. Climb one layer up: exception handling, customer relationships, quality control, or coordinating the systems replacing the task. |
| 16–21 | Tier 2 — Reshaped | AI already drafts a large slice of your daily output. OECD flags these high-skill, white-collar roles — analysts, paralegals, junior developers, designers, copywriters — as the most exposed. The role survives but the task mix is rewritten around you. | Become the person who supervises the AI doing 70% of the work, not the one competing on that 70%. Own the high-stakes 30%: review, taste, accountability, edge cases. |
| 11–15 | Tier 3 — Augmented | AI raises your ceiling instead of lowering your floor. You already direct tools and own real judgment. WEF lists technology and AI-fluent roles among the fastest-growing in percentage terms; the scarce profile is domain depth plus AI fluency. | Compound the advantage. Make AI orchestration — delegation, prompting, evaluation — a deliberate craft, and pair it with deeper domain mastery few others have. |
| 7–10 | Tier 4 — Resilient | Your work is physical, relational, embodied, or context-rich in ways current AI can’t replicate. WEF projects the largest absolute job growth here — care, education, skilled trades, frontline, green-transition roles. Low task-overlap, steady demand. | Don’t get complacent — get leveraged. Push AI onto the admin and documentation overhead so you spend more time on the irreplaceable human core, then add a credential to climb the value chain. |
If your score sits one point either side of a boundary, read both adjacent rows and pick the description that matches your actual week. A “Tier 2” job held by someone who already directs AI behaves like Tier 3 — exposure is occupational, but your behavior moves you within it.
Your Reposition Path (Decision Tree by Tier)
Find your tier, then follow the branch. Each path ends at one move. Resist the urge to do all four — the discipline is choosing the single highest-leverage step for where you are now.
- Did you land in Tier 1 (High Exposure)?
-
Is there a judgment or relationship layer directly above your current tasks? (e.g., handling the exceptions the system can’t, owning the client, checking quality.)
- Yes → Target that layer. Your move: become the human who handles what the automation can’t close out. → Go to the 30/60/90 plan, “Climb one layer.”
- No, my role is almost purely routine → Plan a lateral jump into an adjacent Tier 2 or Tier 4 role that uses skills you already have (people-facing, coordination, or hands-on work). → Go to “Lateral jump.”
-
Did you land in Tier 2 (Reshaped)?
-
Do you already review and direct AI output, or do you still compete with it?
- I still produce most output by hand → First move: deliberately put AI on 70% of your routine output this month and shift your time to reviewing and deciding. → Go to “Take the director’s seat.”
- I already direct AI → You’re effectively operating at Tier 3. Move to deepen the high-stakes 30% — the taste, accountability, and edge-case judgment that can’t be delegated. → Go to “Own the 30%.”
-
Did you land in Tier 3 (Augmented)?
-
Is your scarcity coming from AI fluency, domain depth, or both?
- Mostly one of them → Add the missing half. Deep domain experts learn orchestration; strong AI operators go deeper into a domain. The rare, defensible profile is both. → Go to “Compound the edge.”
- Already both → Move from operator to multiplier: build a repeatable AI-leveraged workflow others can’t easily copy, and make it visible. → Go to “Become the multiplier.”
-
Did you land in Tier 4 (Resilient)?
- Are you spending real time on admin and documentation overhead?
- Yes → Move: offload that overhead to AI and reinvest the hours into the human core that makes you valuable. → Go to “Leverage the core.”
- No, I’m already efficient → Move up the value chain: add a digital credential or AI-adjacent skill that lets you charge for or lead higher-tier work. → Go to “Climb the value chain.”
Every branch lands on one named move. Carry that move into the next section.
30/60/90-Day Move
Strategy without a deadline is a wish. Run your move on this schedule. The structure is the same across tiers; the content is whatever your decision tree branch named. It is built to fit around a full-time job.
Days 1–30 — Commit and prove it small. Write your move as one sentence: “In 90 days I will be the person who ___.” Then do one real, small project that demonstrates it — not a course, an output. If your move is “take the director’s seat,” automate one genuine workflow this month and document the before/after. If it’s “leverage the core,” pick one admin task and hand it fully to AI. Visible competence beats invisible certificates.
Days 31–60 — Attach AI as a force multiplier. Wrap AI around the low-value edges of the skill you’re building so the leverage is obvious: you make the calls, AI handles the volume. Capture one before-and-after number — hours saved, output doubled, error rate cut. That number is your evidence later. A structured way to decide what to delegate versus keep is in the augment-don’t-automate delegation framework.
Days 61–90 — Convert it into position. Turn the project into something that changes how others see your role: a short internal write-up, a portfolio entry, or a conversation with your manager that reframes your work around the new capability. The goal isn’t to have learned a tool. It’s to have moved — measurably — from competing with AI to directing it, and to be able to point at proof.
Ninety days is enough to move one tier. It is not enough if you start by waiting for certainty.
What to Do Next
You now have three things most people never get: a number, a tier, and a single next move with a deadline. The trap from here is re-running the quiz instead of running the move — diagnosis feels productive, but only the reposition changes your position.
So do the smallest possible version of your move this week. If you scored into High Exposure or Reshaped, the urgency is real but the response is calm: climb toward judgment, oversight, and AI orchestration rather than fleeing the field. If you landed in Augmented or Resilient, the message is don’t coast — compound your edge or leverage your core before someone who started earlier claims it.
To pressure-test your result, read what the durable human edge actually looks like in what AI cannot do in 2026, and see where the wider workplace is heading in the state of AI at work 2026. Then come back to your one sentence — “In 90 days I will be the person who ___” — and start the 30-day step. The data already removed the option of waiting; the only real choice left is whether you reshape your role first, or have it reshaped for you.
Related Reading
- The AI-Exposure Index 2026: Which Jobs Change Most
- How to Reposition Your Career in the AI Era: The Full Guide
- What AI Cannot Do in 2026: The Human Judgment Premium
- Augment, Don’t Automate: The AI Delegation Framework
- The State of AI at Work 2026
Frequently Asked Questions (FAQ)
How accurate is a 7-question self-assessment?
It is a directional diagnostic, not a measurement. The seven questions deliberately track the factors that labor research links to AI exposure — task rule-structure, how much output AI can already draft, and how physical, relational, and judgment-heavy the work is. OECD analysis consistently finds these task characteristics, not job titles, decide exposure. The score’s job is to put you in the right tier and route you to the right move, not to produce a precise percentage. If your score sits on a boundary, the tier descriptions resolve it.
What if my score puts me in a worse tier than I expected?
That is the tool working, not failing. A high score (Tier 1 or 2) means a large share of your current tasks overlaps with what AI does cheaply — which is exactly the information you want before a downturn forces the issue. Exposure is not extinction: OECD research is explicit that exposure measures overlap, not automation. The decision tree exists precisely so a high score routes you to a concrete climb rather than to anxiety.
Can my tier change, and how fast?
Yes — within months, because the tool scores behavior, not just your job. The clearest example is Q2: someone in a “Reshaped” role who starts deliberately directing AI behaves like the “Augmented” tier. That is why the 30/60/90-day plan focuses on changing what you do, not changing employers. Move one capability and you can re-score into the tier above.
Why does using AI tools lower my exposure score?
Because the dividing line between augmentation and replacement is who is steering. When you direct AI — prompting, reviewing, deciding what ships — you sit above the work; when AI quietly absorbs your output while you compete on volume, you become interchangeable with it. Stanford HAI data shows AI adoption is now mainstream, so fluency alone is table stakes. The score rewards direction, not mere usage.
I’m in Tier 4 (Resilient). Do I still need to do anything?
Yes — get leveraged rather than complacent. WEF projects strong absolute growth in care, trades, education, and frontline roles, so demand is on your side. But the people who pull ahead in resilient roles are the ones who offload admin overhead to AI and reinvest that time in the human core, then add a credential to move up. Resilient means low task-overlap with AI, not “nothing to optimize.”
Is this career advice I can rely on?
Treat it as a structured starting point, not a verdict. The scoring model and reposition paths are an original framework informed by public labor-market research; they are designed to turn that research into one clear next step. Your specific circumstances — industry, location, finances, stage of life — matter and aren’t captured by seven questions. Use the tool to decide your direction, then validate the specifics against your own situation before making large moves.
Sources
World Economic Forum. Future of Jobs Report 2025. Geneva: World Economic Forum, January 2025.
OECD. OECD Employment Outlook 2023 — Artificial Intelligence and Jobs: No Signs of Slowing Labour Demand (Yet). Paris: OECD Publishing, 2023.
OECD. Who Will Be the Workers Most Affected by AI? Paris: OECD Publishing, 2023.
OECD. Artificial Intelligence and the Changing Demand for Skills in the Labour Market. Paris: OECD Publishing, 2024.
Stanford Institute for Human-Centered Artificial Intelligence (HAI). The 2025 AI Index Report. Stanford University, 2025.
Editorial note: This tool is part of CEOtudent’s fully AI-assisted editorial process. The scoring model and reposition paths are an original framework informed by the publicly available sources listed above, verified as of June 2026. It is a self-assessment aid, not professional career advice.












