Automation forecast

Will my job exist in five years?

Type in a job and see how much AI will change it, when that could happen, and how to get ready.

Not just about disappearing

Most jobs won't vanish. They'll change.

Look past the risk percentage: every forecast includes ten reasons, practical next steps, and new roles you could move into. Across the whole catalogue, the average replacement risk is 60%.

Good to know

Will AI replace my job? Understanding your career's future

AI is changing work task by task, rather than replacing every occupation at once. Search your job title to explore its replacement-risk forecast, a likely year, the factors behind the estimate, and practical options for your next career move.

Which jobs are most at risk from AI?

Work tends to change first when tasks are repetitive, digital and easy to check. Speech recognition can draft transcripts, software can transfer records, and chatbots can answer standard support questions. Employers may automate these tasks before removing an entire role.

In this catalogue, Telemarketer has a 97% replacement-risk estimate, followed by Data Entry Clerk at 96% and Transcriptionist at 95%. Tier 1 Customer Support Agent, Bookkeeper and Proofreader also rank among the most exposed. Within these roles, handling exceptions, resolving disputes and checking unreliable outputs may remain human responsibilities.

Which careers are harder to automate?

Jobs tend to change later when they require hands-on work in unpredictable settings, personal trust or accountability for consequential decisions. A plumber must diagnose leaks inside unfamiliar buildings; a hairdresser adapts technique to a client's hair and preferences. Nurses and social workers combine judgment with direct human care.

The catalogue's lowest replacement-risk estimates include Hairdresser at 12%, Plumber at 14% and Electrician at 15%, followed by Social Worker, Nurse and Surgeon. Lower risk does not mean untouched: scheduling, documentation and diagnostic assistance can change even when the core job remains human.

How to read and use your job forecast

Treat the risk score and likely year as planning estimates, not a deadline or a personal probability of unemployment. The catalogue average of 61% is not a prediction that the same share of workers will lose their jobs.

Read the 10-factor breakdown: routine tasks, digital work, training data, error tolerance, regulation, physical dexterity, human trust, cost to automate, technology maturity and institutional barriers. Compare those factors with your actual duties and workplace. Use the advice and adjacent roles to identify practical moves: learn relevant tools, build exception-handling skills, and check training or licensing requirements before switching careers.

Questions people ask

Will my job exist in five years?
A job title alone cannot determine that: your duties, employer and working environment matter. Use your forecast to identify which tasks are exposed and which responsibilities could keep the role valuable as tools improve.
What jobs can't AI replace?
No occupation can be guaranteed immune to automation. Roles involving unpredictable physical work, trusted relationships and accountable judgment, such as plumbing, nursing and social work, generally have more barriers to full replacement.
How accurate are AI job replacement predictions?
These forecasts are rubric-based estimates, not validated guarantees about when a job will disappear. The likely year is uncertain because technical capability, implementation costs, regulation and employer adoption can move at different speeds.
Should I change careers if my job has high AI risk?
A high score is a reason to investigate, not automatically quit. Compare your daily tasks with the forecast, learn how your workplace uses automation, and explore adjacent roles where your experience transfers to harder-to-automate responsibilities.