AI job exposure maps model capabilities to the tasks performed within an occupation. High exposure means many activities could change, accelerate or become automatable, but it does not prove that the whole job will disappear.
Observed employment effects depend on whether systems are reliable, adopted and integrated into organizations. Workers may also use AI to take on more complex work, offsetting reductions in time spent on exposed tasks.
ELI5
AI job exposure estimates how much of an occupation's work could be changed by AI capabilities. High exposure means many tasks may become faster or automatable, not that the entire job will disappear.
For example, AI may draft routine reports while a worker still handles judgment, exceptions and responsibility. Actual employment effects depend on reliability, adoption and how organizations redesign the remaining work.
Is AI job exposure the same as job loss?
No. Exposure measures potential task impact, while job loss depends on adoption, workflow redesign, demand, complementary work and organizational decisions.
How is job exposure measured?
Researchers compare occupation task descriptions with observed or estimated AI capability, then aggregate the share and importance of affected tasks.
