“AI Safety’s Biggest Talent Gap Isn’t Researchers. It’s Generalists.” by Topaz, Agustín Covarrubias 🔸, Alexandra Bates, Parv Mahajan, Kairos

This post was cross posted to LessWrong TL;DR: One of the largest talent gaps in AI safety is competent generalists: program managers, fieldbuilders, operators, org leaders, chiefs of staff, founders. Ambitious, competent junior people could develop the skills to fill these roles, but there are no good pathways for them to gain skills, experience, and credentials. Instead, they're incentivized to pursue legible technical and policy fellowships and then become full-time researchers, even if that's not a good fit for their skills. The ecosystem needs to make generalist careers more legible and accessible. Kairos and Constellation are announcing the Generator Residency as a first step. Apply here by April 27. Epistemic status: Fairly confident, based on 2 years running AI safety talent programs, direct hiring experience, and conversations with ~30 senior org leaders across the ecosystem in the past 6 months. The problem Over the past few years, AI safety has moved from niche concern toward a more mainstream issue, driven by pieces like Situational Awareness, AI 2027, If Anyone Builds It, Everyone Dies, and the rapidly increasing capabilities of the models themselves. During this period, over 20 research fellowships have launched, collectively training thousands of fellows, with 2,000-2,500 fellows [...] --- Outline: (01:18) The problem (03:41) Why the pipeline is broken (05:59) Why this matters now (07:31) Counter-Arguments (10:11) The Generator Residency --- First published: April 13th, 2026 Source: --- Narrated by TYPE III AUDIO .