Where the network is landing
Anonymized patterns drawn from member hires over the last 90 days. The point isn't to make displacement feel less painful — it's to show what new roles are forming on the other side, so the path forward is something you can actually see.
A single transition told in full, so the abstract numbers above have a face on the other side of them.
Lina W. lost her data-entry role at a regional healthcare insurer in March, when the company brought in an LLM-assisted intake system that absorbed about 70% of her former team. She joined OYFS the same week.
For six weeks her Pulses were quiet — a lot of "still here, still looking." She picked up small AI-output validation gigs from two other network members who needed someone fast and careful with insurance forms. That work taught her where the new models actually break: edge cases, ambiguous diagnoses, multi-payer codes.
In September she joined a Series C health-tech company as their first AI Data Quality Lead. Same industry vocabulary. Higher salary. Work that builds on the five years she already had, rather than asking her to throw them away.
The ten role-to-role transitions we've seen most often in the last 90 days. Each arrow represents members of the network who moved from the role on the left into the role on the right.
Job titles that barely existed two years ago, now hiring at scale. Counts reflect members who landed in each role in the last 90 days.
Sectors hiring the most members from the network this quarter. Percentages are growth versus the previous quarter.
The skills that translated most often. If you have these from a former role, they're worth more than the role title suggests.
Numbers come only from members who explicitly consent to share their before-and-after when they mark themselves as hired. All names, employers, and identifying details are removed before anything is shown here. Aggregate counts under 50 are not displayed.