My AI Impact Radar
Where will AI change your work first?
Choose four broad signals. Get a transparent, evidence-linked view of task change, opportunity and the next action worth taking.
Public method
No secret score.
The result starts with a broad occupation pattern, applies one visible sector adjustment and turns the result into five bands. Region and priority change context and advice, not the underlying work score.
Read the complete methodInternational Labour Organization
Generative AI and Jobs: A Refined Global Index
Task-level occupational exposure and the importance of distinguishing transformation from job replacement.
Open sourceAnthropic Economic Index
Observed AI use across work tasks
Observed patterns of augmentation and automation across occupations, used directionally rather than as a forecast.
Open sourceReuters Institute
How audiences think about news personalisation
Why the tool is optional, transparent, user-controlled and keeps a route back to important global evidence.
Open sourceThe Alan Turing Institute
Understanding Public Attitudes to AI
Public concern about errors, overreliance and transparency, reflected in the oversight and evidence design.
Open sourceUK Government
AI Skills for Life and Work
Demand for practical AI literacy, privacy understanding and role-relevant skills rather than generic hype.
Open sourcePrivacy by default
Selections are stored locally so you can return. Shared links contain only the four broad categories you chose—never a name or account identifier.
You control whether a link is created.
How could AI change the tasks in your job?
A job combines many tasks: preparing information, checking it, making decisions and working with people. AI may affect each part differently. This free radar helps you organise those questions using your broad role, sector and region, then points you to reporting you can inspect.
AI-generated editorial illustration. The scene does not depict a study participant.
What do the evidence bands mean?
Task exposure, augmentation upside, pace of change, consequence of error and skills urgency are broad editorial signals. They help frame a discussion; they are not measured probabilities of redundancy or a forecast for your employer.
How should I use my result?
Choose one recurring task, identify the mistakes that matter and compare an authorised tool with your usual method. Include review and correction time. Use the linked evidence to ask about training, oversight and how responsibilities will change.
What information do I provide?
Select broad categories. Your choices are stored in this browser; the tool does not need your name, employer or salary. Avoid entering personal or confidential information when testing AI tools in your own work.