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13 resources
The Maine Center for Economic Policy's State of Working Maine 2026 report, focused on protecting workers from artificial intelligence.
A coalition of employees across the companies building frontier AI systems that helps AI staff act on their concerns about how their work is used, through cross-lab meetings, working groups and mutual support.
The methodology paper behind Data Workers' Inquiry, by Milagros Miceli, Alex Hanna, Timnit Gebru and colleagues at the Distributed AI Research Institute. It lays out a participatory framework for centering workers' own questions and epistemic authority in AI research, turning hidden and precarious labor into a site for knowledge-making and change.
A global participatory research initiative spanning nine countries where data workers themselves become community researchers, documenting labor conditions in the AI industry through zines, documentaries, comics, essays, podcasts and animations. Inquiries cover workers at Sama, CloudFactory and Remotasks in Kenya, Venezuela, Syria, Brazil, France and Germany.
A nonprofit that works to make the tech industry share its prosperity and answer for economic harms. It focuses on housing and working conditions, and publishes research such as the 2026 California AI Compass.
Why I recommend it: An advocacy group, so its reports argue a position. Its research on contract workers and AI in the workforce is useful for anyone weighing a tech job.
Research and policy papers from the Roosevelt Institute on labour, pay and social policy, aimed at making the economy fairer for workers.
Why I recommend it: A progressive think tank, so its papers argue for one side. Useful for understanding worker-rights debates.
amazonclimatejustice.orgThe open letter and campaign from employees pressing their employer on climate and data-center energy use.
Why I recommend it: An example of workers using an open letter as leverage — worth reading for the wording alone.
amazonclimatejustice.orgAdded Sep 16, 20260 opensAn investigation into healthcare workers striking over conditions and automation in mental-health care.
Why I recommend it: A reminder that automation debates land hardest on care work.
A running database of strikes, petitions and campaigns by workers responding to AI in their workplaces.
Why I recommend it: Good evidence base if you are writing or speaking about AI and jobs.
Worker-led research and mental-health resources by and for the data annotators who label the material AI systems learn from.
Why I recommend it: Written by the workers themselves, not about them.
An association organizing the data-labeling workforce behind AI training data around pay, conditions and recognition.
Why I recommend it: A concrete answer to "who actually built this model" — and what they were paid.
A volunteer network of technology workers organizing around labor conditions, ethics and accountability inside the industry.
Why I recommend it: If you work in tech and want to push from the inside, start with their local chapters.
Glassdoor research on worker attitudes toward AI in 2026 — covering adoption, concerns, and what employees expect from employers.
Why I recommend it: A useful snapshot of public sentiment around AI at work. Helpful for coaching conversations about which skills matter and how to talk about AI on the job.
