I work in robotics, so I think about automation's impact on jobs a lot. What does task-level automation actually look like across occupations? Which tasks are genuinely susceptible and which ones aren't? Do certain jobs have a future extinction date? I'm building a platform to answer these questions in real time.

Job Extinction Index (https://jobs.voxos.ai) breaks down ~700 U.S. occupations using BLS employment data and O*NET task data. Each occupation gets a risk score based on analysis of its individual tasks. You can drill into any occupation and see which specific tasks are automatable, by what method (AI, robotics, software), and at what confidence level.

There's also a news aggregator that links AI/automation developments to specific occupations, monthly trend reports, and a play-money prediction market if you want to put your intuitions to the test.

If this kind of granular data is useful to you — whether you're thinking about a career change, working in workforce policy, or just curious — I'd like to hear about it. There's no way to stop automation, but understanding it at the task level is how people and governments can stay ahead of it.