Disclosure: I built this. It’s a free tool on my site, no signups or paywalls (because they annoy me so very much) I combined three public datasets to generate a career outlook score (0-100) for each occupation: Anthropic’s Economic Index(CC-BY) - task-level AI penetration scores. They assessed how much of each ONET task can be performed by current AI systems, scoring 0 to 1 across 17,000+ tasks. ONET task statements -the full task breakdown per occupation from the US Department of Labor. BLS Employment Projections 2024-2034 - employment counts, growth rates, and annual openings per SOC code. The 756 roles come straight from these datasets, but you can also search for niche roles that aren’t in the official data. When you do, the tool finds the closest matching occupations in the database, blends their data together, and generates a predicted score. So if you search “prompt engineer” it’ll match against similar roles, then builds your score from there. Each role also gets a task breakdown showing exactly which parts of your job AI handles, which it speeds up, and which are fully yours. Limitations Anthropic’s data measures what AI can do, not what’s actually been adopted in workplaces. Real-world displacement lags behind capability. BLS projections don’t factor in AI disruption. They’re based on historical trends and demographics. So the growth and exposure components are somewhat independent. The scoring formula weights growth and resilience equally. You could argue for different weightings. A few findings Most roles have surprisingly low AI exposure. The data is way more optimistic than the discourse suggests. The roles genuinely at risk combine high task automation AND shrinking employment. High exposure alone isn’t enough. Physical, high-judgment, and interpersonal work barely registers on the exposure index. submitted by /u/BowlerEast9552
Originally posted by u/BowlerEast9552 on r/ArtificialInteligence