Artificial intelligence is changing how we work, but not every role is exposed in the same way. The free AI Career Risk Assessment Tool from WINSS, also known as the AI job risk checker, scores your job across five research-based dimensions, then compares your result with live AI-adoption data from the OECD. It is completely anonymous, collects no personal data, and takes under three minutes.
Answer the questions below to see where your role sits on the automation-exposure scale, from tasks that AI already handles at scale to work where human skill is still the main bottleneck. You can also read what our first 177 assessments revealed about how people rate their own jobs.
The AI Career Risk Assessment Tool asks 15 questions grouped into five dimensions that automation research links to job exposure. You rate each item on a 0 to 10 scale, where 0 marks work that is highly human, creative, or unpredictable and 10 marks work that is highly structured, repetitive, or automatable. The answers combine into a single score out of 60 and a clear risk band.
Task structure: how routine, rule-based, or data-driven your daily work is.
Human interaction: how much your role depends on reading people, building trust, and emotional judgment.
Creative judgment: how often you produce original ideas or solve genuinely new problems.
Physical and regulatory context: hands-on work in variable settings, and tasks that need a licensed human or human sign-off.
Sector and role position: how fast your sector adopts AI and how easily your role could be restructured.
New: compare your score with live OECD data
The updated tool adds an external benchmark. Choose your country and the results page shows the share of businesses there that use AI, next to the European Union and OECD averages. The figures are drawn live from the OECD “ICT Access and Usage by Businesses” database through the OECD API, so they stay current and each one is labelled with its data year, broken down by business size and by year.
One point matters for reading it: the OECD figure measures how widely businesses have adopted AI, which is a context signal for how fast AI is entering workplaces. It is not a prediction about any individual job.
Take the AI Career Risk Assessment
Assessment tool
Is Your Job at Risk from AI?
This tool evaluates your role against five dimensions that research consistently links to automation risk: task structure, human interaction, creative judgment, physical or regulatory context, and sector adoption pace. Answer 15 questions to receive a scored risk profile.
Results indicate where your role sits on the automation-exposure spectrum – from tasks AI currently handles at scale to tasks where human skill remains the primary bottleneck. Your results page also shows measured AI adoption among businesses in your country, retrieved live from the OECD database at the moment you view it.
Research basis: Scoring dimensions draw from Frey & Osborne (Oxford Martin School, 2013/2017), the OECD Employment Outlook AI and Work series, McKinsey Global Institute automation studies, and the World Economic Forum “Future of Jobs Report 2025.” Country figures are retrieved live from the OECD “ICT Access and Usage by Businesses” database via the OECD SDMX API.
Country comparison
Select where you work. Your results page will show the measured share of businesses using AI there, against the EU and OECD averages.
Question 1 of 15Task Structure
Section 1 – Task Structure
Question 1 of 15
How much of your daily work consists of tasks you perform the same way, day after day?
Question 2 of 15
How much of your work involves processing, organizing, or analyzing structured data – spreadsheets, forms, databases, or standardized reports?
Question 3 of 15
To what extent can your core job decisions be reached by applying a defined set of rules, guidelines, or procedures?
Section 2 – Human Interaction
Question 4 of 15
How much does your work require reading emotional cues, managing interpersonal conflict, or providing direct emotional support?
Question 5 of 15
How often does your work involve unpredictable interpersonal situations – negotiation, conflict resolution, crisis response, coaching, or counseling?
Question 6 of 15
Does your role depend on building long-term trust relationships with specific individuals – clients, patients, students, or community members?
Section 3 – Creative Intelligence and Judgment
Question 7 of 15
How often does your work require genuinely original ideas, strategies, or designs – not adapting an existing template?
Question 8 of 15
How often do you face genuinely new problems – situations with no established procedure, precedent, or rulebook?
Question 9 of 15
Does your role regularly require integrating knowledge from multiple unrelated fields – for example, combining legal, medical, technical, and social expertise in one decision?
Section 4 – Physical Context and Accountability
Question 10 of 15
How much of your role involves physical work in variable, unpredictable settings – construction, patient care, field operations, or hands-on inspection?
Question 11 of 15
Is your role subject to legal or professional requirements that a licensed or qualified human must make the final decision – medical, legal, safety, or regulatory?
Question 12 of 15
How rapidly does your working context shift, requiring you to adapt your approach – new regulations, emergent situations, changing stakeholder needs?
Section 5 – Sector and Role Position
Question 13 of 15
How rapidly is your sector adopting AI and automation in ways that directly affect roles like yours?
Question 14 of 15
How much of the knowledge your role requires is tacit and experiential – built through practice rather than documented procedures or manuals?
Question 15 of 15
How easily could your role be eliminated or substantially restructured without disrupting your organization’s core operations?
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out of 60
Lower riskHigher risk
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Score by dimension
Task Structure
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Human Interaction
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Creative Judgment
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Physical Context
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Sector and Role Position
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Live OECD data
Businesses using artificial intelligence
Question 13 asked how quickly your sector adopts AI. The figures below show measured adoption: the share of businesses with 10 or more persons employed that use AI technologies, as recorded in the OECD “ICT Access and Usage by Businesses” database.
Retrieving data from the OECD API…
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Share of businesses using AI, by year
Adoption by business size
Benchmark, latest available year
Source: OECD “ICT Access and Usage by Businesses” database, indicator “Businesses using artificial intelligence (AI)”, unit: percentage of enterprises with 10 or more persons employed, all economic activities. Survey years differ by country; each figure states its data year. Dataset available via the OECD Data Explorer and the OECD SDMX API (sdmx.oecd.org).
Research basis: C. Frey and M. Osborne, “The Future of Employment: How Susceptible Are Jobs to Computerisation?” (Oxford Martin School, 2013; updated 2017); OECD Employment Outlook and “AI and Work” research series (2023–2025); McKinsey Global Institute, automation potential studies (2023–2025); World Economic Forum, “Future of Jobs Report 2025.” Country figures: OECD “ICT Access and Usage by Businesses” database, retrieved live via the OECD SDMX API. This tool produces a research-informed risk profile, not a definitive prediction. Actual automation timelines depend on industry, employer strategy, regulatory environment, and the pace of AI capability development.
How to read your result
Your score places you in one of five bands, from Lower Risk to Very High Risk. The results page breaks the score down by the five dimensions, so you can see which parts of your role carry the most exposure and which act as a buffer. The OECD panel then sets your personal result against measured AI adoption among businesses in your country.
What the assessment can and cannot tell you
This is a self-assessment. It reflects how you describe your own work, not an independent classification of your occupation, and the risk bands are a guide for reflection rather than a forecast. The OECD comparison adds verified national context, but it measures business adoption, not personal job loss. For occupation-level detail, see our overviews of the 48 jobs AI is set to replace or reshape between 2026 and 2030 and 79 jobs that are AI-proof, for now.
Research behind the AI Career Risk Assessment Tool
The five dimensions draw on established work on automation exposure: Carl Benedikt Frey and Michael Osborne’s “The Future of Employment” (Oxford Martin School), the OECD’s task-based automation research, and the World Economic Forum “Future of Jobs Report 2025”. These sources identify social intelligence, creative intelligence, and work in unpredictable physical settings as the tasks that stay hardest to automate, which is why the tool weighs them alongside routine and data-driven work.
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I specialize in sustainability education, curriculum co-creation, and early-stage project strategy. At WINSS, I craft articles on sustainability, transformative AI, and related topics. When I’m not writing, you’ll find me chasing the perfect sushi roll, exploring cities around the globe, or unwinding with my dog Puffy — the world’s most loyal sidekick.
