Is your career AI-proof?
Many AI job risk tools just look up your job title. RankedIn analyses your career history, skills, education and profile headline from your LinkedIn export, then generates an AI Resilience Score (0-100) with suggested actions for your situation.
No credit card · Built on your LinkedIn data · Analysis usually takes about a minute
Two different results from your LinkedIn data
RankedIn gives you two different kinds of result from your LinkedIn data export. The LinkedIn Score rates how your profile and network read across eight dimensions (see the LinkedIn Profile Analyzer). The AI Resilience Score is a 0–100 estimate, generated by an AI language model, of how exposed your career looks to AI-driven change. Higher means more resilient.
What the AI Resilience Score reads, and what it can't see
The estimate is generated from these parts of your LinkedIn export: your current role and company; your profile headline; your years of experience; the titles and companies in your work history; your education; up to 20 of your endorsed skills; and, if your export includes them, up to 10 of the job titles you applied for.
It does not read your About text, posts, connections, certifications or courses, or any record of what you actually do day to day. Because it works from titles, skills and history rather than your actual tasks, it is an estimate based on a partial picture of your work.
How to read your score
Your results label the score Resilient (70–100), Moderate (40–69) or At Risk (0–39).
Your results also show a Role Risk Level (Low, Medium or High). It is generated by the same model in the same step as the score, and no fixed rule links the two, so read each as a separate output of the model.
The score is an estimate generated by an AI language model, not a measurement or a forecast. It doesn't predict whether your job will change or disappear, doesn't measure your actual tasks, and doesn't compare you with your employer or local job market.
Your AI impact, across three horizons
Personalised to your actual career data — not your job title
What AI is already automating
Which parts of your current role AI may already be starting to handle, and what that could mean for your day-to-day work in the near term.
How your job function changes
How your broader job function may shift as AI matures — which responsibilities could grow in importance and which could diminish.
AI-resilient paths from where you are
AI-resilient career directions that may be open from your current position, based on your skills and trajectory.
How RankedIn differs from a job-title lookup
A title lookup gives everyone with your job title the same answer
| Feature | Job-title-only estimate | RankedIn |
|---|---|---|
| Based on | Job title lookup | Your actual career data |
| AI-vulnerable and AI-resistant skills | No | Yes |
| Suggested actions | No | Yes |
| LinkedIn score | No | Yes |
| Pivot directions | No | Yes |
What the benchmark data does and doesn't show
Where there are enough members, RankedIn publishes the median AI Resilience Score for a profession. As of October 12, 2026, these are the professions with at least 20 members behind the figure, listed by number of members, not by score.
| Profession | Median | Middle half of members | Members |
|---|---|---|---|
| Software Engineering | 70 | 60–80 | 119 |
| Founder / Entrepreneurship | 80 | 72–88 | 64 |
| IT / Infrastructure | 70 | 65–78 | 51 |
| Project / Program Management | 72 | 68–80 | 45 |
| Data & Analytics | 70 | 60–82 | 37 |
| Business Development / Partnerships | 70 | 60–75 | 34 |
| Education / Academic | 70 | 62–85 | 32 |
| AI / Machine Learning | 85 | 75–90 | 31 |
| General / Executive Management | 78 | 70–82 | 31 |
| Supply Chain / Logistics | 67 | 55–72 | 26 |
| Product Management | 78 | 72–85 | 23 |
| Cybersecurity | 80 | 75–85 | 21 |
| Marketing | 60 | 45–70 | 21 |
| Strategy / Consulting | 75 | 70–80 | 21 |
| Accounting | 68 | 50–75 | 20 |
What this can show: how AI Resilience Scores are distributed among RankedIn members in each profession, with the sample size. What it can't: that one profession is more or less exposed to AI than another. Members chose to upload, the samples are small, and the scores are AI-generated estimates, so small differences between rows should not be read as meaningful. See the benchmark methodology.
Common questions
- What is the AI Resilience Score?
- A 0–100 estimate, generated by an AI language model, of how exposed your career looks to AI-driven change. Higher means more resilient. It is produced from your LinkedIn data export and is an estimate, not a measurement or a forecast.
- What does the score use, and what does it not see?
- It uses your current role and company, your profile headline, your years of experience, the titles and companies in your work history, your education, up to 20 endorsed skills and, if your export includes them, up to 10 job titles you applied for. It does not read your About text, posts, connections, certifications or courses, or any record of what you do day to day.
- Is my career at risk from AI?
- The score is one estimate of exposure based on the data above. Results label 70–100 Resilient, 40–69 Moderate and 0–39 At Risk, and show a separate Role Risk Level generated by the same model. Neither predicts whether your job will change or disappear. Read them alongside the skills flagged as AI-resistant or AI-vulnerable in your results.
- Will AI replace my job?
- Nobody can say for certain, and RankedIn does not predict job loss. It estimates exposure from your data and points to skills the model reads as AI-resistant or AI-vulnerable and skills worth building, so you can decide what to act on.
- How do I prepare my career for AI using RankedIn?
- Your results include near-, medium- and long-term considerations, skills read as AI-resistant or AI-vulnerable, skills to build and possible pivot directions. Check them against what you actually do, keep what fits, turn one into a focused Sprint, and re-run with a fresh export to see what changed.