Automation vs. Augmentation: the difference that decides your job
When people ask "will AI take my job?" they are usually picturing automation — the task disappears and so does the role. But most current AI exposure is augmentation: the task gets faster or cheaper while a human stays in the loop. The gap between those two outcomes is the single most important thing to understand about AI and work.
Automation: the task leaves the human entirely
A task is automated when AI performs it end-to-end with no person required — keying data from invoices, generating a routine status report, transcribing a call. These are the tasks driving real job loss today, and they cluster in routine, cognitive, high-volume work.
Augmentation: the human does more, faster
A task is augmented when AI assists but a person still owns the outcome — a developer reviewing AI-written code, a radiologist confirming an AI-flagged scan, a lawyer editing an AI-drafted contract. Augmentation can even grow demand for a role by making each worker more productive and the output cheaper.
Why ReplacedYet scores both
Our AI-Risk Index uses the Anthropic Economic Index — real measurements of how AI is actually used across tasks — to split each occupation into an automate share and an augment share. A 70% exposure score that is mostly augmentation is a very different career situation than a 70% that is mostly automation, and no competitor shows you which one you are looking at.
Related occupations
Software Engineer (51%) · Paralegal (62%) · Radiologist (33%) · Copywriter (62%)