Will AI Take Your Job?
Get a personalized automation risk score, a realistic safety runway, and a concrete 90-day survival plan — based on O*NET task data, OECD exposure research, and WEF Future of Jobs 2025. Runs 100% in your browser. No sign-up, no data stored.
- Task-level breakdown
- Safety timeline
- 90-day action plan
- 100% private
Check your job’s AI risk in 10 seconds
Type your job title. We map it to O*NET-style task data, OECD exposure research, and WEF 2025 forecasts to estimate your runway and show you exactly what to do next.
Your level
Popular searches
This is an educational estimate based on public occupation-level data, not a prediction about you personally. It does not use your name, resume, or employer.
- 100% Private
- No Sign-up
- O*NET + OECD Data
- Runs in Browser
- No Data Stored
How this AI job risk score actually works
Most “AI job risk” tools give you a vague percentage and a scary headline. This tool is built on three layers of public research, and it shows its work.
Task exposure
Each occupation is broken into O*NET-style tasks. We estimate how much of the core work current AI can perform at high quality — not the job title, the actual tasks.
Occupational exposure
We map the role to the OECD’s AI Capability Gap Index and exposure gradients, plus WEF 2025 displacement and growth signals. This captures how employers are actually adopting AI.
Seniority adjustment
Entry-level roles lose 12 points of safety; leadership roles gain 25. The same job title can have a very different risk profile depending on what you actually own.
The result is a 0–100 score and a runway estimate. It is deliberately conservative: a high score means “this role will be restructured,” not “you will be fired.” The OECD is explicit that exposure is not the same as displacement — adoption costs, regulation, and organizational capacity all slow the transition.
The 2026 AI job market in numbers
The headline is not “robots take everything.” It is churn: old tasks disappear, new roles appear, and the transition is uneven.
92M
roles displaced by 2030
WEF Future of Jobs 2025
170M
new roles created by 2030
WEF Future of Jobs 2025
39%
of core skills changing
WEF Future of Jobs 2025
41%
of employers cutting roles where AI automates tasks
WEF Future of Jobs 2025
What each risk tier means for your timeline
The score is not a countdown to unemployment. It is an estimate of when the role’s task mix will change enough that you need to adapt.
| Score | Tier | Safety runway | What it means |
|---|---|---|---|
| 75–100 | Critical | 0–2 years | Core tasks are already automatable. Reskill now. |
| 55–74 | High | 2–5 years | Major restructuring likely. Move toward judgment work. |
| 35–54 | Moderate | 5–10 years | AI augments most tasks. Build complementary skills. |
| 15–34 | Low | 10–15 years | Strong moats. Keep deepening physical or relational skill. |
| 0–14 | Minimal | 15+ years | Highly resistant. Your moat is presence, trust, or liability. |
The four moats that make a job harder to automate
Across the research, the same four factors keep showing up. The more of them your role has, the safer you are.
Physical dexterity
Working with your hands in unpredictable, unstructured environments. Electricians, plumbers, surgeons, and mechanics all benefit.
Human relationships
Trust, empathy, persuasion, and care. Therapy, nursing, teaching, and leadership all rely on relational work that AI can assist but not own.
High-stakes accountability
Someone must be legally and ethically responsible. Judges, physicians, CEOs, and engineers stamp, sign, or carry liability that a model cannot.
Creative judgment
Deciding what matters, what is good, and what to do next when the problem is ambiguous. Strategy, design direction, and original research live here.
Why this tool is different
Most AI job risk tools are lead magnets, black boxes, or vague quizzes. This one is transparent, private, and actionable.
| Feature | TToolDeck | Typical AI risk tools |
|---|---|---|
| Free with no paywall | Yes | Partial |
| Personalized by seniority level | Yes | No |
| Task-level breakdown | Yes | Partial |
| 90-day action plan | Yes | No |
| No email or sign-up | Yes | No |
| Runs entirely in your browser | Yes | No |
| No personal data collected | Yes | Partial |
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How to check your AI job risk
- 1
Type your job title
Choose from the suggestions or type any common title. We match it to an occupation profile with task-level data.
- 2
Pick your level
Entry, mid, senior, or leadership. Seniority changes both the exposure score and the estimated runway.
- 3
Get your plan
See your score, task breakdown, safety timeline, survival plan, and lower-risk pivot paths — instantly.
Everything you get for free
Task-level breakdown
See exactly which parts of your job AI can already do, which it will amplify, and which remain human. Not a vague percentage — a real task map.
Safety runway estimate
A clear 0–15+ year window showing how long your current role is likely to remain largely intact before significant restructuring.
Seniority adjustment
A senior nurse and an entry-level nurse do not have the same exposure. Your level changes the score and the runway.
90-day survival plan
Concrete moves you can start this week — certifications, skills, portfolio projects, and positioning — tailored to your occupation.
Lower-risk pivot paths
See adjacent roles with better automation resistance and the skills that transfer, so you can plan a realistic next step.
Grounded in public research
Built on O*NET task data, OECD AI exposure gradients, and WEF Future of Jobs 2025 — not vibes or a black-box model.
Questions people ask
How accurate is this AI job risk calculator?
It is an educational estimate, not a prediction about you. Scores are built from occupation-level research: O*NET task descriptions, the OECD AI Capability Gap Index, and WEF Future of Jobs 2025. It cannot see your specific company, manager, or performance, and it does not use your resume or personal data.
What does the 0–100 risk score mean?
It estimates how much of your occupation’s core work can be performed or significantly accelerated by current AI systems. 0–14 is minimal exposure, 15–34 low, 35–54 moderate, 55–74 high, and 75–100 critical. A high score does not mean you will lose your job — it means your role is likely to be restructured, and you should adapt deliberately.
Why do senior roles get a lower risk score?
Senior and leadership roles typically combine technical work with judgment, accountability, and relationship management. AI can assist with the technical layer, but it cannot own outcomes, manage people, or carry liability. The tool adjusts the base score to reflect that.
Are software developers really at high risk?
Software development has very high AI exposure because so much of the work is digital. But exposure is not the same as unemployment. Demand for developers who can design systems, review AI output, and own production reliability is still growing. The risk is concentrated in routine, junior-level coding tasks.
Which jobs are safest from AI?
Roles with physical presence, human relationships, high-stakes accountability, and unpredictable environments score safest. Examples include electricians, plumbers, nurses, physicians, firefighters, physical therapists, and skilled trades. The OECD also finds chief executives, judges, psychiatrists, and anesthesiologists among the most protected.
What is the WEF Future of Jobs 2025 finding?
The WEF projects 92 million roles displaced and 170 million new roles created by 2030 — a net gain of roughly 78 million, but with massive churn. It also reports that 39% of workers’ core skills will change and that 41% of employers plan to reduce staff where AI automates tasks.
What should I do if my score is high?
Do not panic — act. Start with the 90-day survival plan on your result page. Focus on tasks AI cannot own: judgment, relationships, physical work, and accountability. Pick one skill to deepen, one certification to pursue, and one project to build. The goal is to move from “doing the task” to “directing and verifying the work.”
Does this tool store my job title or personal data?
No. Everything runs in your browser. The job dataset is bundled with the page, and no query, result, or personal information is sent to a server. There is no sign-up and no tracking of your inputs.
Can I check a job title that is not in the list?
Try a broader or more common title. The dataset covers around 30 occupations across technology, healthcare, trades, education, finance, legal, creative, sales, administration, logistics, science, social services, hospitality, and management. If your exact title is missing, the closest category match will appear in suggestions.
Is a low-risk score a guarantee?
No. Every occupation is being reshaped by AI to some degree. A low score means the core tasks are harder to automate, not that the role is frozen. Keep building judgment, relationships, and hands-on capability — those are the durable moats.
Your job title never leaves your browser
There is no upload, no account, and no server call. The occupation dataset is bundled with the page, and the analysis happens in your browser memory. We do not store your query, your result, or anything else. Read how we keep it private.