No Worker Left Behind
The gains from AI are real. We measure whether they reach workers.
In the loudest AI-safety year on record, the defining documents said nothing about workers. Nobody independent measured what deployment does to the people it is deployed on. That is the job of WEIGH, No Worker Left Behind's research institute, and of the open data below.
WEIGH: the worker side of AI prosperity and safety.
Workforce Effects of Intelligent systems: Gains & Harms. An institute of No Worker Left Behind.
The Load Line
The annual index, every May 1, of what deploying AI does for and to workers: gains first (pay, tasks, mobility, access to tools), harms as the deductions. Open data, methods note, known-limitations box, model policy at the back.
Checkweigh
Audits of workplace AI deployments against one test: does this tool make this worker's skill worth more? Pilot with 3–5 Boston employers.
Quarterly Tracker
Layoff disclosures (California SB 951 data from 1 Jan 2027), employer surveys, and worker-reported access and safe use.
The independence charter
No money from AI labs or from the employers and vendors we measure. Funder list public. No funder review before publication. No single source above 25% of funding.
Open data and tools.
Twenty pieces. One argument: the future of work is a worker-level question.
The 2026 flagship series. Named sources, original frameworks, citation-ready.
WorkCongress 2027.
Free and online, every May 1. The one day a year workers, employers, researchers and AI labs stand at the frontier together. The Load Line launches here.
annual WorkCongresses
attendees
research reports
policy partners
Add your voice to the evidence.
Ten minutes. Get the final report free.