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3505 hand-picked resources for students, job seekers, career changers, founders, and AI learners — 100% free to browse with no account required.
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34 resources
Elaine O. Nsoesie and Nuredin Ali Abdelkadir discuss the mental-health toll of content moderation in Africa, including exposure to harmful material and the need for workplace preparation and support.
An October 2026 Cosmonaut essay by Nicolas D. Villarreal revisiting his 2023 predictions about AI and arguing that artificial general intelligence is a real possibility with major implications for class politics.
Arundhati Roy reflects on AI's effects on language, authorship, cultural memory and social trust. The essay critiques the concentration of AI power in corporations and connects its labor and resource demands to wider political and economic structures.
MIT News covers an effort to document the growing movement of tech workers organizing around how their work is used, including AI development.
Truthout on internal Amazon documents, obtained by a Canadian labor board, showing how the company uses AI to track workers' movements and anticipate union organizing.
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.
The December 2020 open letter from Google Walkout for Real Change supporting Timnit Gebru after her departure from Google's Ethical AI team, with its list of signatories. An advocacy document written by her supporters.
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.
A DAIR Institute project for unions, labor organizations and worker-organizers dealing with AI and automation at work: case studies, primers and a resource library on worker-led oversight of new technology.
From the site: Research and case studies.
Why I recommend it: Free. Written from an explicitly pro-worker position, which it states openly — useful if you want the labor perspective on workplace AI rather than the vendor one.
A free newsletter briefing on AI developments from a pro-human standpoint, covering labor, safety, policy and the campaigns pushing back on automation-first decisions.
Why I recommend it: A steady weekly read if you want the human-impact side of AI news rather than product launches.
Washington, D.C. think tank publishing free research and policy briefs on jobs, apprenticeships, career pathways for non-college workers, trade, AI and the economy — all readable without a subscription.
Why I recommend it: Useful when you want numbers rather than opinions about where jobs and training money are actually going. Their work on apprenticeships and career pathways for people without a degree is the part I send clients most.
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.
An advocacy organization working on the human cost of mineral extraction that supplies the global electronics and AI supply chain.
Why I recommend it: The hardware behind AI starts in mines — this is the part of the story most coverage skips.
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.
A directory of worker-owned technology cooperatives you can hire instead of a conventional agency.
Why I recommend it: Practical if you or a client need tech work done and want a different ownership model.
Partnership on AI's open library of guidance, frameworks, and case studies on responsible AI: synthetic media, labor and the economy, AI safety, fairness, and inclusive AI development.
Why I recommend it: When you need a credible source instead of a hot take, cite these. The labor and economy work is the most useful set for career conversations about automation.
A Liberty Street Economics post from the New York Fed arguing that, so far, AI adoption is being used to change how work is done rather than to reduce headcount, based on regional business survey data.
Why I recommend it: A useful counterweight to AI job-loss headlines; helpful for understanding how employers are actually deploying the technology right now.
Economic policy organization researching corporate power, prices, and worker outcomes.
Why I recommend it: Their work on corporate power explains a lot about the labor market job seekers are facing.
Cory Doctorow essay on AI hype, market incentives, and who bears the cost of the buildout.
Why I recommend it: Doctorow is a useful counterweight to any week where the AI news feels inevitable.
