AI Job Risk Calculator
Assess how AI will impact your job. Get a personalized risk score based on your role, work composition, experience, and AI skills — with actionable career recommendations.
How to use this tool
- Pick the role closest to what you actually do day to day, not your job title.
- Set how your week splits between routine, technical, management and strategic work.
- Add your years of experience, industry, and the kind of problems you usually solve.
- Tick the AI skills you already use at work.
- Read your score, the breakdown of what moved it, and the recommendations.
Get a personalized AI displacement risk score based on your role, work composition, experience, and AI adaptation. All calculations run in your browser — nothing is stored or sent to a server.
1. Your Role
2. Your Work Composition
How does your typical week break down? Adjust sliders — they auto-balance to 100%.
3. Technical Depth of Your Work
4. Your AI Adaptation
Check all that apply. Each one reduces your displacement risk.
Your role is partially exposed. Learning AI skills this year will widen the gap between you and at-risk peers.
How you compare
Score breakdown
Your Personalized Recommendations
Build an AI side project this quarter
Your role isn't immediately at risk, but starting now keeps you ahead. A single AI project on GitHub signals you're AI-ready.
Try the AI Prompt Optimizer →Read: AI Job Apocalypse — The Data
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AI Job Apocalypse: The Data →How the AI Job Risk Calculator works
The score starts from a base risk for your role, estimated from industry research on how much of that role’s work current AI tools can already do. Routine, pattern-based roles such as manual testing start high; roles built on judgment, people and ambiguous problems start low.
It then adjusts for how you actually spend your time. Clerical and routine work pushes the score up; technical, management and strategic work pull it down. Experience lowers it (early-career roles are the most exposed), as does working on novel problems rather than known patterns. Regulated industries such as healthcare, legal and banking lower it slightly; BPO and services raise it. Each AI skill you already use reduces it, because people who direct AI tools are the ones least likely to be replaced by them.
The final score is kept between 5 and 95 and falls into one of four tiers: low (under 30), moderate (30 to 54), high (55 to 74) and critical (75 and above). The breakdown shows exactly how many points each factor added or removed, and the recommendations are matched to your role and your weakest factors.
When to use it
- Checking how exposed your current role is before a performance review or job change.
- Deciding which AI skills to learn next, by seeing which ones move your score most.
- Comparing two career paths, for example staying technical versus moving into management.
- Starting a conversation with your team about how AI is changing your work.
Tips
- Be honest about the work split. A senior title with a mostly routine week scores like a routine role.
- Re-run it after you change one thing, such as adding an AI skill, to see what actually moves the needle.
- Share your result with the link so a mentor or manager can see the same breakdown.
Frequently asked questions
Is the score a prediction that I will lose my job?
No. It is a structured estimate of how much of your current work is exposed to automation, based on published research and the inputs you give. It is a prompt to plan, not a forecast.
Where do the role baselines come from?
They are estimates drawn from research including the WEF Future of Jobs Report, NASSCOM’s strategic review, the Stack Overflow Developer Survey and McKinsey’s State of AI. The methodology post explains each assumption.
Why does experience lower the score?
AI tools currently do the most entry-level work, such as boilerplate code, routine testing and first drafts. Experienced people spend more time on judgment, trade-offs and people, which are harder to automate.
Is my data stored?
No. The calculation runs in your browser. Your inputs are only saved in the page link if you choose to share it.