# AI interviewer

An occupational task catalogue for the US economy now has language models interview workers directly instead of relying only on fixed questionnaires. Standardized surveys like O*NET are slow to catch tasks that have just appeared, and human-led interviews are expensive to run at scale. The interviewer asks follow-up questions to clarify vague descriptions and confirms the resulting task bundles with the worker; on a holdout of 1,184 task reports from 57 workers, TaskNet's lists covered 89.3% of reported tasks on average across six occupations, against 78.6% for O*NET.

An occupational task catalogue for the US economy now has language models interview workers directly instead of relying only on fixed questionnaires. Standardized surveys like O*NET are slow to catch tasks that have just appeared, and human-led interviews are expensive to run at scale. The interviewer asks follow-up questions to clarify vague descriptions and confirms the resulting task bundles with the worker; on a holdout of 1,184 task reports from 57 workers, TaskNet's lists covered 89.3% of reported tasks on average across six occupations, against 78.6% for O*NET.