O*NET

O*NET, the Occupational Information Network, is the US Department of Labor’s database of occupational information. It is developed under the sponsorship of the department’s Employment and Training Administration (USDOL/ETA) through a grant to the North Carolina Department of Commerce, and the National Center for O*NET Development provides its core staff and, under ETA’s direction, manages its projects.¹ The database holds more than 900 occupation profiles covering more than 55,000 jobs. They are organized by the O*NET-SOC taxonomy, updated in 2019 to align with the 2018 Standard Occupational Classification, which has 1,016 occupational titles, 923 of them O*NET data-level occupations.¹ The database is free, published under a Creative Commons license and updated quarterly, with a primary update in the third quarter of each year.²

The current release, O*NET 31.0, came out in August 2026 and updated 218 occupations, including new task ratings for 205; data from job incumbents and occupational experts is now available for 912 occupations. In October 2026 O*NET’s websites added the Bureau of Labor Statistics’ updated employment totals and 2025–2035 projections.³ Its task file holds 18,838 task statements, each linked to exactly one occupation and typed as core, meaning critical to the occupation (rated relevant by at least 67% of respondents, with a mean importance of at least 3.0), or supplemental.⁴ A separate file of 165,780 rows gives each task’s importance, relevance and frequency ratings.⁵

MetaRoles anchors every role it covers to an O*NET-SOC code and builds each Role scorecard from that occupation’s core tasks, grading the evidence for AI in each one; the method is set out in how MetaRoles measures AI in roles. For concierges (39-6012.00), for example, O*NET OnLine shows the role’s tasks with their importance ratings, alongside BLS employment of 50,200 in 2025 and a median wage of $18.73 an hour,⁶ the figures used in how a building concierge’s job is shared with robots and AI. Other posts built on O*NET task lists include AI and robot receptionists, Klarna’s AI customer service claims and robotaxis and the taxi driver’s job.