Labor and AI: the meta-aggregator

Anthropic Economic Index: a report series with data releases: six reports and their datasets, from the operator's own product usage. Operator: Anthropic (its Economics team). Its unit: a sampled Claude conversation (Claude.ai consumer chat and Cowork) or a 1P API prompt-response record, classified by Claude to an O*NET task and to economic primitives; since June 2026 also a survey respondent linked to up to 20 of their own sessions. Whose labor: the tasks people bring to Anthropic's own product Claude, mapped to the O*NET tasks of the occupations that typically perform them; observed on Claude.ai, Cowork, Claude Code and Anthropic's first-party API only.

Bossware and Employment Tech Database: a database. Operator: Coworker.org. Its unit: a labor-focused technology product (one table row per product, with its parent company, category, type, targeted workers, investors, and assessments of its data practices against worker-rights criteria). Whose labor: the work of hourly, contract, salaried, non-management and management workers whose hiring, productivity, safety, benefits and pay pass through these products; the report centres low-wage and hourly workers.

Canaries Dashboard: a working paper and monthly-updated dashboard, one of the Lab's AI Economic Indicators. Operator: Stanford Digital Economy Lab with ADP Research (paper by Erik Brynjolfsson, Bharat Chandar and Ruyu Chen). Its unit: monthly employment in a five-year balanced sample of firms using ADP payroll services, by occupation (over 730), age group, gender and AI-exposure group. Whose labor: the employment of workers in firms using ADP payroll services, matched to an occupation code, grouped by age and by their occupation's AI exposure.

Data Workers' Inquiry: a global, radically participatory research initiative; community-based research project with a public repository of worker-made inquiries. Operator: Distributed AI Research Institute (DAIR) and the Weizenbaum Institute, with TU Berlin; project lead Milagros Miceli. Its unit: an inquiry: research by one or more data workers in their own workplaces, with their colleagues, published in a format the workers chose (zine, documentary, comic, essay, podcast, animation, report); several inquiries are co-authored ('Behind the Face of AI' by Clara and B; a podcast by two anonymous content moderators; a podcast by Aaliyah, Omar and the Data Labelers Association). Whose labor: data labeling, content moderation, data annotation, chatbot impersonation and other data processing that enables AI systems, done by workers at outsourcing companies and platforms (Sama, Cloud Factory, Remotasks, Telus International, Scale AI, Amazon Mechanical Turk, TikTok and Apple's outsourced workforce among those named); invited pieces extend it to artists, translators, writers, nurses and internet users who produce data for AI without compensation.

Digital Labour Platform Policy Tracker: a global policy tracker (a database of legislation, policies and decisions, with a collective bargaining agreements component and a third category, Other initiatives). Operator: International Labour Organization (ILO), within its Observatory on AI and Work in the Digital Economy. Its unit: a national or regional legislative or policy initiative on platform work; in the CBA component, a collective bargaining agreement between trade unions and platform companies; in Other initiatives, a regional or local initiative (guidelines, protocols). Whose labor: work and employment on digital labour platforms.

Fairwork Cloudwork Ratings: a rating programme: a ratings report (league table) scoring cloudwork platforms against the five Fairwork Cloudwork Principles. Operator: the Fairwork project, based at the Oxford Internet Institute, University of Oxford, and the WZB Berlin Social Science Center; funded by BMZ, commissioned by GIZ; on fair.work, Fairwork describes itself as a non-profit spun out of the Oxford Internet Institute (OII) and the Berlin Social Science Center (WZB). Its unit: a cloudwork platform, scored out of 10 on ten thresholds (two per principle: fair pay, conditions, contracts, management, representation). Whose labor: cloudwork: online remote work through digital labour platforms, from microwork (data labelling and processing, AI training, image categorisation) to freelance work (translation, design, web development, writing); the report names AI data work for clients such as Amazon, Google, Microsoft and Nvidia.

GDPval: a benchmark (an evaluation dataset with an experimental automated grader). Operator: OpenAI: the paper's 19 authors (Tejal Patwardhan first; nine marked equal contribution) give OpenAI as their affiliation, with correspondence to an openai.com address; OpenAI's own post at this address answered 403 and is unread. Its unit: a task: a request (often with reference files) and a deliverable, constructed from actual work product of an expert professional; graded by blinded pairwise expert comparison of model and human deliverables (win rate). Whose labor: the work product of recruited industry professionals in 44 predominantly digital occupations across the 9 sectors contributing over 5% of U.S. GDP, recast as tasks for models; the same professionals' labor as task writers, reviewers and graders.

Generative AI and Jobs: A Refined Global Index of Occupational Exposure: an index of occupational exposure, published as a working paper with a research brief. Operator: International Labour Organization (ILO), whose Research department partnered with NASK, the National Research Institute of the Ministry of Digital Affairs in Poland; the expert group includes the ILO, NASK and the Polish Ministry of Family, Labour and Social Policy. Authors: the paper's title block lists seven, Paweł Gmyrek, Janine Berg, Karol Kamiński, Filip Konopczyński, Agnieszka Ładna, Konrad Rosłaniec, Marek Troszyński; the ILO's publication and brief pages list eight, adding Balint Nafradi. Its unit: a task's automation score, aggregated to a 4-digit ISCO-08 occupation (mean and standard deviation) and placed in one of four exposure gradients; employment shares then estimated by country income group, region and sex. Whose labor: the tasks of occupations in ISCO-08 and in Poland's 6-digit classification (29,753 tasks in 2,541 occupations), and the global employment in the 112 occupations classed as exposed.

Luddite Lab Resource Hub: a resource hub (case studies, primers and a resource library), one of the Luddite Lab's two offerings; the other is trainings for unions, labor organizations and worker organizations around automation and AI. Operator: Distributed AI Research Institute (DAIR); the hub's About page lists Alex Hanna (Director of Research), Adrienne Williams and Hannah Lipstein as its team, and AI Weekly reports the team as led by Alex Hanna and Hannah Lipstein. Its unit: a resource: a case study of worker organizers resisting AI, a primer, or a reviewed resource in the library (research and policy primers, organizing toolkits, political education, contract language, alternative technology projects). Whose labor: the work of union members and worker-organizers facing AI, automation and workplace surveillance, in industries the hub names as journalism, entertainment and nursing.

Negotiating Tech: An Inventory of U.S. Union Contract Provisions for the Digital Age: a searchable inventory. Operator: UC Berkeley Labor Center (Center for Labor Research and Education), Technology and Work Program; researched and compiled by Lisa Kresge. Its unit: a technology-related provision of a U.S. collective bargaining agreement (a direct excerpt or a paraphrased summary), linked to the full contract and coded by bargaining strategy, technology type and function, worker and union rights, and employer obligations. Whose labor: the work of union-represented workers in public and private sectors across a range of industries, where employers introduce or use workplace technologies.

Responsible Sourcing Across the Data Supply Line: a workstream and resource library: recommendations and practitioner tools (guidelines, checklist, templates, a case study, a white paper). Operator: Partnership on AI (PAI), AI, Labor, and the Economy programme; the guidelines developed in partnership with DeepMind. Its unit: a guideline or practical tool addressed to AI practitioners (five guidelines; six resources in the library). Whose labor: data enrichment work: data preparation and cleaning (annotation, intent recognition, sentiment analysis, image recognition, speech-to-text validation) and human-review work (content moderation, feedback loops, validating algorithmic outputs and models).

Tracking the Impact of AI on the Labor Market: an interactive tool (tracker) with regular updates. Operator: The Budget Lab at Yale (Yale University); the first report by Martha Gimbel, Molly Kinder (Senior Fellow, Brookings Metro), Joshua Kendall and Maddie Lee. Its unit: monthly CPS microdata analysed in three sections: occupational churn (dissimilarity), AI metrics (including AI exposure among the unemployed and usage measures), and comparisons of AI-exposed and unexposed workers. Whose labor: the occupational mix of the labor force, employment and unemployment, as they relate to measures of AI exposure and AI usage.

Turkopticon: a worker-run organizing and advocacy project for platform data workers, with a review site and browser add-on that rated Amazon Mechanical Turk requesters until the platform closed (30 September 2026). Operator: Turkopticon: a worker-run committee of Turk workers, maintained with volunteers from Tech Workers Coalition; founded by Lilly Irani and Six Silberman. Its unit: a worker's review of a Mechanical Turk requester, rated on four attributes (communicativity, pay (now pay/hr), fairness, promptness), as recorded until Mechanical Turk's announced closure on 30 September 2026; the API returns a requester's average ratings and review counts. Whose labor: the work of Amazon Mechanical Turk workers (Turkers) on HITs posted by requesters, until Amazon's announced closure of Mechanical Turk on 30 September 2026; since the expansion, platform data workers wherever they work, including AI training and evaluation, data annotation, surveys, transcription and content moderation.

Worker Info Exchange: a non-profit organisation: data access requests, data investigations, data trusts and strategic litigation for gig workers. Operator: Worker Info Exchange, a non-profit in London (Director James Farrar; Research Lead Cansu Safak, as the foundation's post of 29 April 2026 names them); the Uber collective action is brought by Stichting WIE International, a Dutch foundation working in cooperation with Worker Info Exchange, and the foundation's post describes WIE as coordinating it. Its unit: a subject access or data portability request made on behalf of a worker; also a targeted data investigation or report. Whose labor: the work of gig economy workers managed by algorithms (Uber drivers in the UK and Europe named in its news; its reports include a Just Eat Report and a McMisery Report).

Working with AI: Measuring the Applicability of Generative AI to Occupations: a paper with results files (metrics aggregated at the work-activity and occupation level). Operator: Microsoft Research (Kiran Tomlinson, Sonia Jaffe, Will Wang, Scott Counts, Siddharth Suri). Its unit: an anonymized Bing Copilot conversation, classified by an LLM pipeline to the O*NET intermediate work activities (IWAs) it serves as a user goal and as an AI action; metrics aggregated to IWAs and to detailed 2018 SOC occupations. Whose labor: the O*NET work activities that Bing Copilot users seek help with (user goals) and that the AI performs (AI actions), mapped to the occupations whose tasks contain them.