JCPAR Workforce
Congressional Black Caucus Foundation publication on workforce policy, hosted on Issuu. Described from title; details not checked page by page.
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129 resources
Congressional Black Caucus Foundation publication on workforce policy, hosted on Issuu. Described from title; details not checked page by page.
Joint Center report (PDF) with policy recommendations on voting rights, economic opportunity, workforce, education, healthcare, criminal legal system, technology and immigration.
An op-ed arguing that the U.S. and China need to talk about self-spreading malicious software before AI makes such attacks easier to build. A readable introduction to why computer worms are back in the policy conversation.
The U.S. Mission to the United Nations' intervention at a UN Security Council meeting on artificial intelligence and international security, setting out the U.S. position on how AI should be governed in the security sphere. Note: the mission site blocks automated checks, so this description is based on the page title and context rather than a fresh read.
Why I recommend it: Governments are writing the rules for AI in real time. Reading one primary statement like this beats ten opinion pieces about what governments might do.
A 2024 open-access article in Big Data & Society by Kerry McInerney arguing that the "AI arms race" narrative between the United States and China is deeply racialized, building on "Clash of Civilizations" rhetoric and older anti-Asian tropes such as techno-Orientalism and the Yellow Peril. The author coins "Yellow Techno-Peril" and offers recommendations for policymakers, journalists, and media organizations. Free to read (open access).
Why I recommend it: The arms-race framing shows up constantly in AI coverage. This paper names what that framing carries with it and gives concrete guidance for talking about competition without the racialized baggage.
A July 2026 open-access article in the Cambridge Forum on Technology and Global Affairs by Elisabeth Siegel (University of Oxford) examining how "hybrid epistemic experts" — figures straddling technical expertise, corporate leadership, and policy influence, with Eric Schmidt as the central case — constructed and amplified the "U.S.–China AI Race" narrative between 2015 and 2023. The article raises concerns about democratic governance and the concentration of AI knowledge production in private hands. Free to read (open access).
Why I recommend it: Explains how the AI race narrative was built by people who sit in boardrooms and policy rooms at the same time. Read it alongside the Yellow Techno-Peril paper for two complementary critiques of the same framing.
A July 2026 research report from risk intelligence firm Alethea documenting how Russian, Chinese, and Iranian state media, covert influence operations, and AI-generated content farms amplified genuine local opposition to U.S. data center construction between January and June 2026. The findings were featured in The New York Times. Alethea is a commercial firm publishing its own research; the report is free to read.
Why I recommend it: Two things are true at once here: local opposition to data centers is real, and foreign actors are amplifying it. Useful reading for anyone working in policy, infrastructure, or community advocacy — and a case study in how AI-generated content scales a narrative.
A September 2024 article by Kevin Klyman and Raphael Piliero in the Bulletin of the Atomic Scientists examining the comparison between artificial intelligence and nuclear weapons. The authors argue the analogy offers some lessons for risk mitigation but that the differences are more significant: AI development is diffuse across tens of firms and countries, making it far harder to contain than nuclear technology. Free to read.
Why I recommend it: The nuclear analogy drives a lot of AI policy proposals, from IAEA-style agencies to licensing regimes. This piece is the clearest short explanation of where that analogy helps and where it breaks.
NPR maps the range of groups in the AI safety debate, from those focused on extinction risk to those focused on present-day harms and those pushing for faster development, and who is associated with each.
Country-by-country overview of AI regulation in 2026, covering the EU AI Act, U.S. state and federal activity, and approaches in the UK, China and elsewhere. Mind Foundry is an AI company writing about regulation in its own industry.
A library guide tracking major academic publishers' policies on AI use in research and writing, including rules on AI authorship, disclosure requirements and image generation, with links to each publisher's policy.
Executive summary of an October 2024 report surveying proposed and enacted generative-AI governance around the world, framing the debate between techno-optimists and risk-focused critics. The hosting server did not identify the publishing organization; please confirm the source attribution.
Open-access paper in AI & Society (2023) by Andrew Dana Hudson, Ed Finn, and Ruth Wylie. Draws on expert interviews and an analysis of nearly 100 science fiction stories to examine how popular AI narratives shape technology policy.
Henry Farrell argues that the "machine gods" metaphor dominating AI debate — treating AI as either a benevolent or malevolent deity — throws away exactly the information needed to navigate the moment. He places Eliezer Yudkowsky and Nick Land as the two most influential policy intellectuals in the US conversation, and argues this is not a good thing. The essay proposes an alternative framing of AI as a social and cultural technology rather than a godlike entity.
Why I recommend it: The author acknowledges his own dog in the fight — he and co-authors developed the competing "AI as social and cultural technology" approach the essay advocates for. Programmable Mutter is a Substack newsletter; some posts may be for paying subscribers, but this one is free.
Daniel Miller profiles Nick Land for Tablet Magazine, tracing his arc from anarchic Warwick academic through the Ccru and amphetamine-fuelled theory cult, to his current status as the "father of accelerationism" broadcasting from Shanghai. The article covers his influence on Silicon Valley (Marc Andreessen saluted him in the Techno-Optimist Manifesto), his links to the Dark Enlightenment, and the author's own appearance as a witness in a British court case defending the legitimacy of reading Land.
Why I recommend it: Tablet Magazine is a Jewish magazine of politics and culture; the author is a staff critic. The article is descriptive of Land's influence and does not endorse his views. Some of Land's positions are extremist and anti-democratic.
Economist Gabriel Zucman's letter setting out his case on California's Proposition 40.
Why I recommend it: An advocacy letter from a leading wealth-tax economist — read it alongside the official voter guide.
The California Secretary of State's official voter guide page for Proposition 40, with the legislative analyst's summary and arguments for and against.
Why I recommend it: The official source — the "for" and "against" arguments are written by campaigns, so read both.
Reporting on New York City's growing AI and tech industry, what the Mamdani administration's plans could mean, and how CUNY students are positioning for the jobs.
Why I recommend it: Local reporting with a policy angle — useful for New Yorkers, less so elsewhere. The page blocked automated checks but opened in a browser.
Transcript of the Australian Prime Minister's New York press conference, covering AI, technology and international questions put to him there.
Why I recommend it: A politician's own words on the record — useful as a primary source, but it is a political performance, not analysis.
Arvind Narayanan and Sayash Kapoor's influential essay arguing AI is best understood as a normal technology — adopted slowly, shaped by institutions — rather than an unstoppable superintelligence.
Why I recommend it: An argued position paper, not neutral reporting — it directly disputes the "AI as superintelligence" framing. One of the most-cited counterpoints in the AI-risk debate.
Timothy B. Lee's newsletter explaining how AI works and what it means for the economy and policy, in plain language.
Why I recommend it: Many posts are free; some are for paying subscribers only. Stick to the free posts — they're plenty.
Stanford's economic policy institute, publishing free research briefs on work, productivity, AI and public policy.
Why I recommend it: Useful plain-language policy briefs. Research reflects the views of its authors, not a consensus.
Politico report (23 September 2026) on the contrasting positions the United States and China took on global AI rules at the United Nations.
Why I recommend it: News reporting on diplomatic positions; I couldn't open the page directly, so this description comes from its headline and search results.
Politico report (Sept. 15, 2026) on Jensen Huang arguing AI safety is an engineering problem and that no new laws are needed.
Why I recommend it: Nvidia sells the chips AI runs on and gains from fewer rules. The site blocked my automatic check, so the title is my summary.
Tracks AI laws, bills and policies across 110+ countries, with links to official sources for each entry.
Why I recommend it: Free to use. Counts (1,142 laws as of September 2026) are the site's own; check the linked official source before relying on any single entry.
The Tony Blair Institute's hub explaining compute — the hardware, software and infrastructure stack that stores, processes and moves data at scale — and arguing that access to it now determines which countries and public services can use AI at all. Collects its work on infrastructure, digital skills, regulation and international collaboration.
Why I recommend it: Useful for the plain definition and for seeing how governments are being asked to think about this. It is advocacy, not neutral analysis: the Institute campaigns for rapid state adoption of technology and is funded in part by technology donors, so it rarely dwells on the land, water and electricity costs that the same build-out imposes locally. Read it alongside the data-center cases on our impacts page.
Press release from the Norwegian Prime Minister's office, dated 21 September 2026, announcing a joint international appeal by Finnish President Alexander Stubb and Norwegian Prime Minister Jonas Gahr Støre for stronger oversight of frontier AI models, backed by 22 world leaders and pressed further at the UN General Assembly.
Why I recommend it: Filed as a primary document so you can quote the actual wording instead of a headline about it. Keep the distinction clear: this is a call, not a law. It commits no country to anything, creates no regulator and sets no deadline — its value is in showing which heads of government are now willing to say it publicly.
Free reports and data on small business conditions in New York City. Current findings include a Manhattan storefront vacancy rate of 12.99% as of Q1 2026 (against a 12.79% pre-pandemic benchmark, with 8 of 12 community districts at or below it), non-resident visits down 2.1% year over year — the first decline in five years — an estimated $4.5bn in annual tariff costs absorbed by NYC small businesses and roughly $4,200 in added annual household costs, business formation at a five-year low, and an analysis of 211,000+ Department of Consumer and Worker Protection inspection records showing 62.3% of city business inspection cases end in default judgment, with summonses to unlicensed businesses up 171% in a year.
Why I recommend it: If you run or plan a business in New York, the inspection findings matter most: a default judgment means the business never showed up to contest the summons, and 62.3% is a warning about how easily a fine becomes final. Use the storefront tracker to argue about a specific neighborhood rather than the city average. One flag to keep in view — a chamber of commerce advocates for its members, so the tariff and enforcement figures are produced by an organization with a position on both.
Free, ad-supported daily AI news covering models, research, business and policy, with an open RSS feed.
From the site: Artificial Intelligence is changing the world. THE DECODER brings you all the news about AI.
Why I recommend it: A good daily read if you want AI news without a paywall. It moves fast, so check the linked source before repeating a claim.
Five plain-language protections people should expect from automated systems — safe systems, protection from discrimination, data privacy, notice and explanation, and a human alternative — each with a section on what organisations should do.
From the site: Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public. Too often, these tools are used to limit our opportunities and prevent our access to critical resources or services. These problems are well documented. In…
Why I recommend it: Led by Alondra Nelson at the White House science office in 2022. It was never binding and has since been removed from whitehouse.gov, so this link goes to the official archive — still the clearest short statement of what people are owed.
OpenAI's published specification for how its models are supposed to behave: red-line principles, the chain of command between platform, developer and user instructions, content boundaries, and how conflicts should be resolved. Free to read in full, no sign-up.
From the site: The Model Spec specifies desired behavior for the models underlying OpenAI
Why I recommend it: Useful as a primary source when people argue about what an AI assistant "should" do — this is the maker's own stated rulebook, so read it as OpenAI's intent rather than an independent audit of actual behavior.
The Royal Institute of International Affairs, an independent policy institute based in London, publishing research on international affairs, governance and technology.
From the site: Chatham House, the Royal Institute of International Affairs, is an independent policy institute based in London. Discover what we do, visit our website today.
Develops and advocates for policies that reduce the risk of severe harm from advanced AI, promoting transparency, accountability and safe development.
From the site: We develop and advocate for policies that reduce the risk of severe harm from advanced AI. Our work promotes transparency, accountability, and safe development.
Nathalie Maréchal in Tech Policy Press on why we are betting the economy and democracy on cult-like beliefs about AI.
From the site: Nathalie Maréchal asks, why are we betting the economy and the future of democracy on cult-like beliefs?
Microsoft's own announcements and positions on AI, work and policy.
Why I recommend it: This is the company speaking for itself, which makes it a primary source and an advertisement at the same time. Useful for knowing what it is committing to publicly.
Cambridge research centre studying risks that could threaten humanity's long-term future, with open papers, seminars and policy submissions.
From the site: We study existential and global catastrophic risks & foster a worldwide community of academics, technologists and policy-makers working to mitigate these risks.
Why I recommend it: Academic and careful. Their reading lists and seminar recordings are the fastest way into the field's actual literature.
Non-profit working on risks from advanced technology, publishing policy work, the AI Safety Index, open letters and a large free podcast and newsletter archive.
From the site: FLI works on reducing extreme risks from transformative technologies. We are best known for developing the Asilomar AI governance principles.
Why I recommend it: Their AI Safety Index is the most readable scorecard of what the big labs actually do about safety. They campaign, so read the policy pages as arguments.
Oxford research group on AI governance, publishing open papers and briefings on regulation, compute governance and international coordination.
Why I recommend it: The clearest writing anywhere on how AI rules might actually be enforced. Start with their briefings, not the full papers.
A long-running technology news publication with careful, technical reporting on computing, science, policy and security — deeper than most tech headlines and clear about what is known versus claimed.
From the site: News and reviews, covering IT, AI, science, space, health, gaming, cybersecurity, tech policy, computers, mobile devices, and operating systems.
Why I recommend it: One of the few tech outlets that reads a filing or a paper before writing about it. Free to read, with an optional paid subscription that removes ads.
A research institute publishing free books, articles and policy analysis on economics, technology and civil liberties from a market-liberal perspective.
From the site: Explore Independent Institute’s latest research, articles, and insights on policy, liberty, and economics. Stay informed with expert analysis and innovative solutions.
Why I recommend it: Openly ideological — read it alongside sources that argue the other side.
Google's official blog — product launches, AI announcements and policy posts, straight from the company.
From the site: Get the latest news and stories about Google products, technology and innovation on News from Google, Google's official blog.
Why I recommend it: Primary source for what Google is shipping. Marketing language included — read the "what changed" parts.
Free global research on jobs, skills and technology — including the Future of Jobs reports that most workforce coverage is based on.
Why I recommend it: Go to the source. The Future of Jobs report is free and is what half the "jobs of the future" headlines are quoting.
The Verge's technology section: daily reporting on the companies, products and policies shaping the industry.
From the site: The latest tech news about the world’s best (and sometimes worst) hardware, apps, and much more. From top companies like Google and Apple to tiny startups vying for your attention, Verge Tech has the latest in what matters in technology daily.
Why I recommend it: Free to read and readable. Good for keeping current on the companies you might interview with.
SSRN's browsable index of working-paper series across economics, law, management and technology — most papers are free to download.
Why I recommend it: A good way to read serious research on labor markets, hiring and AI before it hits paywalled journals.
A free academic paper examining whether effective altruism's focus on individual giving overlooks institutional and political change as the larger lever.
Why I recommend it: Useful counterweight if you have read the pro-EA material — it argues the case from inside academic philosophy rather than online debate.
Engineering and policy writing from Palantir on data platforms, government deployments, defence technology and how the company approaches privacy controls.
Why I recommend it: Read it critically — it is a company blog on a contested subject, which makes it useful primary material for understanding the industry's own arguments.
Free reports from the Computing Research Association on evaluating computing researchers, undergraduate AI education, hiring and tenure practices, and building research capacity.
Why I recommend it: Useful if you are heading into academia or research hiring — it spells out how committees are told to evaluate people.
Ed Elson's Simply Put essay on how AI, cost and weakening returns on a degree are reshaping education and the entry-level job market.
Why I recommend it: Useful context if you are deciding whether more school is the answer. It argues the credential is worth less than the proof of work.
A free Joint Center for Political and Economic Studies brief (September 2026) on Black employment, wages, unemployment and the sectors driving the gaps.
Why I recommend it: Data you can quote. Useful if you are making the case for a hiring or pay decision and need a source rather than an opinion.
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.
A Georgetown law-center project on privacy, records and what happens when everything is searchable.
Why I recommend it: Academic but readable work on privacy and searchable records.
An open-access framework for questioning the claim that current AI development is inevitable and cannot be steered.
Why I recommend it: Hand this to anyone who says "this is happening whether we like it or not".
A reporting channel for people who believe an automated system treated them unfairly, run by a European accountability nonprofit.
Why I recommend it: If a hiring or benefits algorithm has affected you or a client in Europe, this is where it gets documented.
A regional platform for assessing new technologies from the perspective of African communities and policymakers.
Why I recommend it: Technology assessment led from the region rather than imported into it.
A legal organization representing people harmed by technology products, including families in mental-health cases against platforms.
Why I recommend it: Where technology harm turns into actual legal claims.
A campaign toolkit on health data contracts, written for people organizing locally rather than for policy specialists.
Why I recommend it: A rare example of a plain-language toolkit about a data contract.
Stanford economist Charles I. Jones works out, in plain economic terms, how much money it would be worth spending to lower catastrophic risks from advanced AI — comparing it to the roughly 4 percent of GDP the U.S. effectively spent during Covid-19.
Free journalism and analysis on nuclear risk, climate change and disruptive technologies including artificial intelligence, from the group behind the Doomsday Clock.
Why I recommend it: Good grounding if you want to argue about AI risk with facts rather than vibes.
Writing of Adam Elkus on technology, security, AI and political violence — long-form essays connecting computing history with policy and human values.
Why I recommend it: Follow for the slower, historically grounded take on AI debates.
Free open-access working-paper series from the Annenberg Institute at Brown University with Stanford's SCALE Initiative — early education research with strong policy implications, downloadable before journal publication.
Why I recommend it: If you work in education or workforce programs, citing a current working paper makes a proposal much harder to dismiss.
Free, authoritative consensus reports and workshop proceedings on science, technology, health, education and the workforce — most titles readable online at no cost.
Why I recommend it: When you need a source no one can argue with, start here instead of a news summary.
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.
Application to join UC Berkeley CITRIS's Tech Policy Working Group: research lab-style weekly meetings, lightning talks, skill-building workshops, and an end-of-semester showcase for students working on a technology policy problem. Applications close 11:59 PM Friday, September 18, 2026.
Why I recommend it: No policy coursework required, and the deadline is September 18. Built for Berkeley students, but they invite others to email — worth one message if you want real policy research on your resume.
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.
A Center for an Urban Future report on how AI is reshaping entry-level tech hiring in New York City and what city leaders, educators, and employers can do to rebuild on-ramps for low-income New Yorkers.
Why I recommend it: Valuable context if you are entering tech in NYC or advising students and early-career talent on which pathways still lead to good first jobs.
A Tech Policy Press essay on how autonomous AI agents could reshape human agency online.
Why I recommend it: Policy framing for the shift from human-driven to agent-driven online activity.
Monthly summary of worldwide digital policy changes across content moderation, artificial intelligence, competition and data governance.
Why I recommend it: Good monthly catch-up if you want to track AI rules without reading every bill.
Job and internship board focused on nonprofits, international development, environmental advocacy, and public policy organizations.
Why I recommend it: If your work is mission-driven, most general boards bury these roles — Idealist is built around them specifically.
Essay from Anthropic's CEO arguing for how the pace of frontier AI development should be managed alongside safety and societal readiness.
Why I recommend it: Read the people building these systems in their own words, then read their critics. Both are part of an informed view.
Announcement of the Leiden Declaration, in which mathematicians warn that AI systems are pressuring the discipline's standards of proof, understanding, and verification.
Why I recommend it: Every field is having this argument right now. Watching mathematics have it clarifies what "understanding" means in your own work.
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.
Guide mapping the political actors, coalitions, and arguments shaping AI policy.
Why I recommend it: Helpful for seeing who is actually funding the AI debate you read about every day.
Coalition advocating for safety standards and guardrails on AI systems.
Advocacy organization pushing for accountability and antitrust enforcement against dominant tech platforms.
Free resources on technology accountability, policy, and building a healthier information environment.
Research and grantmaking analysis on global health, policy, and emerging technology risk.
Why I recommend it: Follow the funding and you learn a lot about which problems get treated as real.
Essay mapping the competing factions in the AI debate and what each one actually believes.
Why I recommend it: The clearest short explainer I have found for anyone confused by the AI shouting match.
Tracker following how AI policy shows up in elections and candidate positions.
Think tank publishing research on economic policy, labor markets, and corporate power.
A free job search engine that indexes listings directly from company career pages instead of relying on job board postings, with unusually deep filters for salary, remote policy, visa sponsorship, and experience level.
Why I recommend it: I like this one because the listings come straight from employers, so you run into fewer ghost jobs and reposted duplicates. Use the filters hard — two or three well-matched searches beat scrolling for an hour.
A Brookings analysis of how traditional labor market data is being challenged and reshaped by the frontier economy.
Why I recommend it: Labor market data is shifting fast. This Brookings piece helps you understand what is really happening beneath the headlines.
OpenAI's policy essay on the current window for AI regulation and the tradeoffs shaping government decisions.
Why I recommend it: Read this as a company making its case, not a neutral source. Useful for understanding the argument you will be asked to react to at work.
An OpenAI-compatible API for unrestricted language models aimed at red teaming, security research, evaluations, and synthetic data, paired with a policy gateway for per-project keys, audit logs, and no data retention.
Why I recommend it: I keep this in the ethics shelf on purpose. Seeing how guardrails get removed for testing is the clearest way to understand why they matter in the tools you actually use at work.
Research exploring possible economic futures as AI capability advances, including labor market effects and policy questions.
Why I recommend it: Scenario planning is a career skill, not just a policy exercise. Read it and ask which future your current job depends on.
Plain-language overview of how AI screening tools evaluate applicants, their common failure modes, and the legal requirements now in force.
Why I recommend it: Read this before your next application. Understanding what the software looks for is not gaming the system, it is fair preparation.
Tracker of AI hiring regulations, enforcement actions, and bias-audit requirements affecting employers and candidates.
Why I recommend it: Worth bookmarking if you suspect an algorithm screened you out. Knowing the rules employers must follow gives you language to push back.
An independent publication covering AI policy, safety, and the power dynamics of the AI industry.
Why I recommend it: Clear-eyed reporting on who is steering AI and why. I lean on it when the mainstream coverage feels like press releases.
Economist Noah Smith's newsletter covering labor markets, technology, industrial policy, and the economics behind AI hype cycles.
Why I recommend it: One of the few writers I trust to check the numbers before drawing a conclusion. Worth a standing subscription if you follow the economy at all.
Technology news, analysis, and events on startups, innovation, and digital culture.
From the site: Technology news, analysis, and events on startups, innovation, and digital culture.
Why I recommend it: A long-running European tech-news voice; good for keeping up with startup, AI, and policy trends.
Jordyn Abrams on how environmental and anti-establishment thinking in extremist movements suggests anti-tech violence will grow.
From the site: The combination of environmental and anti-establishment thinking in extremist movements suggest anti-tech violence will grow, writes Jordyn Abrams.
Why I recommend it: A sobering historical read about backlash to technology; important context for anyone building or regulating AI.
Listing of remote roles and internships at the Family Online Safety Institute, a nonprofit working on digital safety, online wellbeing, and technology policy.
Why I recommend it: Nonprofit policy internships are an underused entry point into tech policy careers. Apply even if your background is not technical.
Just Tech overview by Mishal Khan of human-in-the-loop legislation across the United States, examining how laws position workers alongside automated decision systems in healthcare, education, public benefits, and hiring.
Why I recommend it: If your job now includes reviewing an algorithm's output, this explains the rules being written around you and where they fall short.
Harvard Ash Center essay arguing that generative AI adoption has been driven more by vendor hype and institutional pressure than measured results, with a look at what happens as expectations reset.
Why I recommend it: Useful counterweight when your employer says AI will replace your role next quarter. Ask what evidence they are working from.
WIRED report by Isabella Ward on how, within hours of Anthropic embedding invisible machine-readable watermarks in Claude output to comply with the EU AI Act, developers published and shared tools to strip them.
Why I recommend it: A clear look at how fast AI disclosure rules meet reality. Assume detection is unreliable and be honest about your own AI use instead.
Introduction by Kelly Joyce and Taylor M. Cruz to a Socius special collection framing AI as a sociotechnical system, with research on AI in health, work and labor, methods, and policy.
Why I recommend it: A clear entry point if you want the research vocabulary for what you already sense about AI at work.
Worldwide network of entrepreneurship programs, research, and policy work, best known for organizing Global Entrepreneurship Week across more than 180 countries.
Why I recommend it: Use their country pages to find the local ecosystem group nearest you. Entrepreneurship is a local sport played on a global field.
Coverage of law firm founder John Morgan boasting on a podcast about camera-based monitoring of remote staff, after which 23 employees quit within the first week.
Why I recommend it: Monitoring policy is culture policy. Ask in interviews how remote work is measured - output or surveillance - and treat the answer as data about how you would be managed.
Linas Beliūnas's fintech newsletter issue rounding up funding, product launches, regulation, and hiring signals across banking and payments.
Why I recommend it: Industry newsletters are cheap market research. Read a few issues before a fintech interview and you will sound like an insider.
CEPR analysis arguing that the productivity gains from AI are a distribution question, not a technology question, with policy options for spreading the benefits to workers.
Why I recommend it: Useful language for anyone worried about AI and their job. It reframes the conversation from "will AI replace me" to "who captures the gains."
Founder and Executive Director of Latinas in Tech, the global nonprofit connecting Latina technologists, who also engages directly with lawmakers on tech-sector policy.
NCDA on how government relations connects frontline practitioner experience to policy on education, employment, and workforce access.
Why I recommend it: Details: if you do this work, your day-to-day observations are policy evidence — this explains where to send them.
New York City Employment and Training Coalition open letter urging the Economic Development Corporation to invest in workforce development alongside job creation.
Why I recommend it: Read this if you want to understand how workforce funding decisions actually get made — and who is arguing for job seekers at the table.
Upcoming cybersecurity conference calendar with virtual and in-person events, dates, locations, and registration links.
From the site: Find cybersecurity conferences happening this week. Virtual & in‑person events. Get dates, locations, and last‑minute registration links now.
Why I recommend it: Useful for staying current on security trends and finding networking events if you are pivoting into cybersecurity, tech policy, or IT operations.
Long-running technology publication covering AI, security, policy, and the business of tech.
Why I recommend it: The free articles alone are enough to track where AI and security policy are heading. Bookmark one story a week that touches your field and save the takeaway.
Official YouTube guidance on when and how creators must disclose AI-generated or altered content.
Why I recommend it: If you use AI in any video, read this once and set your disclosure habit now — retroactive cleanup is far more painful.
Forbes DEI columnist, author, and organizational psychologist.
Why I recommend it: She is writing in real time about policy shifts affecting equity in hiring — the most current voice on this list.
Paralympic champion and member of the House of Lords working on AI and technology legislation and accessible design in the UK Parliament.
Why I recommend it: A unusual combination — elite disabled athlete turned actual AI policymaker, worth following for where accessibility and tech regulation intersect.
Network of New York tech companies with jobs, policy work, and local events.
Why I recommend it: If you are job hunting in New York, their events put you in the same room as hiring teams.
Wired's weekly security roundup covers OpenAI, Anthropic, and 100+ companies cosigning a letter warning that organizations have mere months to prepare for AI-enabled cyberattacks. The piece also tracks rogue AI agent hacking incidents, attacks on over 100 U.S. water systems, license-plate-reader surveillance abuse, Meta's $16.7B child-safety settlement, and ICE buying robot dogs — a snapshot of where AI, surveillance, and critical-infrastructure security collide.
From the site: OpenAI, Anthropic, and more than 100 companies have cosigned a letter saying that everyone else has mere months to prepare for AI-enabled cyberattacks.
Why I recommend it: A stark signal that AI-enabled cyberattacks are no longer hypothetical. The cosigned letter from OpenAI and Anthropic calling for a 'collective response' is exactly the kind of industry accountability move worth watching — pair it with the Hugging Face incident reporting and the water-system attacks to see how AI agents are already being used offensively. Useful for anyone tracking the gap between AI capability and AI governance.
Harvard Business School AI Institute breakdown of new research on agentic AI: how autonomy and context integration shift the cost structure of knowledge work, expanding both productivity and the scope of what workers take on.
Why I recommend it: Read this before you assume AI just speeds up your current tasks. The useful takeaway for job seekers: agents lower the cost per step, so the valuable human skills become specifying goals clearly and verifying output. Practice describing outcomes, not keystrokes, and put "agent workflow design" language in your resume bullets.
Jake Taylor argues that public, standardized AI testing with formal reasoning checks is needed to close the widening "verification asymmetry" between AI capability and oversight.
Why I recommend it: If you want to work in AI governance or assurance, this is the vocabulary hiring managers use — verification, benchmarks, interpretability.
Cole Donovan connects US fiscal pressure and bond market weakness to coming budget decisions about science, R&D, and technology programs.
Why I recommend it: Useful context if your job or grant depends on federal science and tech spending — plan for tighter budgets, not looser ones.
Full proposed consent judgment and settlement agreement in the social media adolescent addiction litigation, covering teen daily use limits, nighttime blocks, age assurance, parental tools, and COPPA claims.
Why I recommend it: Primary source, not a summary. Skim the injunctive terms — they show exactly which product design choices regulators now treat as harmful.
Created by U.S. District Court, Northern District of California (public court filing)
National nonprofit conducting research and providing free guides on small business policy, access to capital, and entrepreneurship support for underserved owners.
In plain terms: This nonprofit organization provides free educational guides, tools, and webinars to support small business owners. You can use it to learn about managing finances, securing funding, and connecting with local lenders and support programs.
Why I recommend it: Their free webinars are short and practical — good for capital and healthcare questions.
Nonpartisan coalition advocating for public policy that expands access to skills training and job quality for lower-income and underserved workers.
In plain terms: This organization advocates for public policies that expand access to job training and career education. You can read their articles and reports to stay informed about workforce programs, credentials, and skills training initiatives.
Why I recommend it: Good source for what training funding exists in your state.
Independent nonprofit researching the social implications of data-centric and automated technologies, informing policy and public understanding.
In plain terms: This nonprofit research institute studies how artificial intelligence, automation, and data technologies affect work and society. You can read free reports, guides, and articles or attend public events to understand how emerging technology impacts labor and the economy.
Why I recommend it: Excellent on automated management and surveillance at work.
NYU-based research institute examining the social and political implications of AI, publishing influential annual reports on AI's societal effects.
In plain terms: This research institute analyzes the social, economic, and workplace impacts of artificial intelligence. You can read free reports, policy toolkits, and expert analyses to better understand how AI affects society and the economy.
Why I recommend it: Their reports connect AI directly to jobs and worker power.
UK-based independent research institute (established by the Nuffield Foundation) ensuring data and AI work for people and society.
In plain terms: This independent research website examines the ethical and legal impacts of artificial intelligence and data. You can read policy reports, explore industry analysis, and attend events to understand how emerging technology affects society.
Why I recommend it: Clear, public-interest research with plain-language summaries.
Interdisciplinary Stanford institute advancing AI research, education, policy, and practice to improve the human condition, with strong ethics and governance focus.
In plain terms: This university center shares research, policy updates, and educational resources focused on artificial intelligence. You can browse an AI glossary, read industry reports, and explore professional courses or research fellowships.
Why I recommend it: Their policy briefs are readable and free — a good first stop if AI governance feels opaque.
Foundation working to close gaps of access, achievement, and opportunity for underrepresented communities in tech, funding equitable tech policy initiatives.
In plain terms: This organization works to remove barriers and increase diversity in the technology industry. You can explore STEM programs for students of color, read research on tech equity, and learn about early-stage startup funding.
Why I recommend it: Their research explains the leaky tech pipeline — and they fund fixes for it.
Weekly synthesis of AI research and policy by Jack Clark, Anthropic co-founder. 130K+ subscribers.
In plain terms: This weekly newsletter summarizes the latest artificial intelligence research and policy. You can read it to keep up with developments in AI technology.
Why I recommend it: Best place to understand the policy fights that will shape AI jobs.
A team writing about improving how government operates, with an open hub for people who want to work on public-sector capacity.
Why I recommend it: If you want mission-driven work, this is a doorway into the public-sector and civic-tech world most job boards never show you.
Small-business columnist and owner writing on taxes, hiring, and regulations for Main Street businesses.
In plain terms: This site features columns and presentations from small-business adviser and accountant Gene Marks. You can explore practical insights on economic trends, workplace rules, and technology to help run or grow your business.
Why I recommend it: One of the few voices writing for a ten-person business rather than a venture-backed one.
Plain-language rundown of which insurance types a small business actually needs — general liability, workers' comp, property, and more.
In plain terms: This government guide explains the different types of insurance coverage small businesses need to protect their assets. Use it to learn how policies like general liability and workers' compensation work so you can choose the right coverage for your startup.
Why I recommend it: Start here before you buy anything from a broker. Knowing the four basic policy types keeps you from being upsold.
Nonprofit publication covering the intersection of technology, platforms, and democratic institutions.
In plain terms: This nonprofit publication provides news, opinion, and analysis on how technology impacts government and democracy. You can read articles and listen to podcasts to stay informed on tech laws, platform regulations, and artificial intelligence ethics.
From the site: Tech Policy Press is a nonprofit media and community venture intended to provoke new ideas, debate and discussion at the intersection of technology and democracy. We publish opinion and analysis.
Why I recommend it: They publish outside contributors — a real place to build a byline in this field.
Newsletter reporting on the fight to reshape technology in the public interest.
In plain terms: This newsletter reports on efforts to reshape technology in the public interest. You can read regular articles to stay informed about technology ethics and industry reform.
From the site: Idea Trafficking. Click to read Hard Reset, by Trafficker 01, a Substack publication. Launched 5 years ago.
Why I recommend it: Skimmable and current — good for staying briefed in ten minutes a week.
The nation's Black think tank, with a technology policy program focused on equity in the digital economy.
In plain terms: This research organization provides reports and data on workforce policy, technology, and economic issues affecting Black Americans. You can explore their research briefs, reports, and events to learn about labor trends and policy solutions.
From the site: About The Joint Center for Political and Economic Studies is a 501(c)(3) non-profit organization based in Washington, D.C. that creates ideas to improve the socioeconomic status and civic engagement of African Americans. Founded in 1970 to support newly-elected Black officials who were moving from civil rights activis…
Why I recommend it: Their tech policy team publishes work you can cite and hires people from nontraditional paths.
Ongoing research archive on how AI and automation affect wages, workers, and economic power in the U.S.
In plain terms: This research archive provides articles and reports on how artificial intelligence affects the workforce. You can explore these studies to learn how new technologies and automation impact jobs, wages, and worker protections.
From the site: Content archives for the Washington Center for Equitable Growth’s work on AI, tech, & the economy.
Why I recommend it: Use this when you need real numbers on AI and jobs for a proposal or interview.