Resource Hub
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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505 resources
A free directory of 2,500+ curated job search resources — job boards, coaching and training — plus a Quick Start Checklist. No account or paywall.
Why I recommend it: A handy starting map. It is a directory, so check each linked service yourself — some of the places it points to charge money.
An AI tool that builds tailored résumé and job-application pieces from reusable modules of your experience.
Why I recommend it: Freemium: there is a free starting tier, but the paid plans unlock more. Always reread what an AI writes about you before sending it — it can overstate or invent.
Stanford HAI's annual flagship report tracking AI progress across research, the economy, education, policy, and public opinion. The 2025 edition compiles data on model capability, training costs, industry investment, and workforce effects, with downloadable charts and datasets.
Why I recommend it: Free to download from Stanford HAI. It is a self-published report from a university institute; figures are sourced within the report, but some industry-investment and capability numbers rely on data supplied by the companies being measured. Treat headline rankings as the report's own synthesis, not neutral fact.
Fast Company argues schools should prepare young people for many careers and changes, not a single job for life.
Why I recommend it: Opinion piece. Fast Company blocked my check, so I wrote this from the title — confirm it opens free.
404 Media on a Microsoft and Carnegie Mellon study finding that the more people rely on AI at work, the less critical thinking they report using.
Why I recommend it: The study is based on workers describing their own habits, not tests of their thinking, so it shows a link rather than proof that AI causes the decline.
Yale Insights on research by Yale SOM's Menaka Hampole and co-authors: when AI automates a task it fades from job descriptions, but workers often shift to other work and firms become more productive.
Why I recommend it: A readable summary of one study, written by the business school that produced it. Useful balance to "AI will take every job" headlines, but it is one data set, not the final word.
eFinancialCareers on which programming languages finance employers want most.
Why I recommend it: Based on the site's own job listings, so it reflects finance roles posted there.
Fast Company on what AI-era layoffs reveal about how companies value and structure work.
Why I recommend it: An opinion-style business feature; Fast Company sometimes limits free reads.
Writer Brian Merchant's collected work, including Blood in the Machine, on technology, labour and the Luddites.
Why I recommend it: A tech critic with a clear pro-worker stance. His newsletter has paid posts, but most work linked here is free.
Monster research on how commute times affect job satisfaction and whether workers would take a job with a long commute.
Why I recommend it: A job board's own survey — useful for negotiating hybrid work, but not an independent study.
Monthly ranking of programming-language popularity, based on search-engine results.
Why I recommend it: Measures how much a language is searched for, not how many jobs use it — check job boards too before choosing what to learn.
CNBC's August 2026 survey report on the split between workers and managers over whether junior staff should use AI tools on the job — and what that means for entry-level careers.
Why I recommend it: Free to read. It's one survey of CNBC's own audience panel, so treat it as a snapshot of opinion, not a measurement of the whole workforce.
Bank of America's September 2026 press release announcing 1,000 more paid apprenticeships and a $150 million workforce-development commitment across the US.
Why I recommend it: This is the bank's own press release, so it presents the program in the best light — but the numbers are checkable, and the apprenticeships are real paid roles.
The research arm of the Indeed job site: free reports and data on job postings, wages and hiring trends, mostly US-focused with some international coverage.
Why I recommend it: The data comes from Indeed's own job listings, so it reflects what employers post on Indeed — not the whole labor market.
A large free job board with salary tools, resume advice and career tests. Rebranded as career.org after CareerBuilder's 2025 restructuring.
Why I recommend it: Free to search and apply. Like all big job boards, it makes money from employers and ads, so check listings against the employer's own site before applying.
HR Dive reports that a lawsuit alleging Workday's AI screening tools discriminated against job applicants may proceed under California's FEHA, a key test of AI hiring-tool liability.
Why I recommend it: HR Dive blocked our automated check, so confirm the article opens for you; the case is ongoing, so treat outcomes as unsettled. If you use AI screening in hiring, this case matters.
ProFellow's guide to using AI chat tools to shortlist fully funded graduate programs in the United States, with prompt ideas and advice on verifying what the tool tells you.
Why I recommend it: Free to read. ProFellow also sells paid fellowship databases and courses, so treat the article as a lead-in to their products. AI tools invent funding details — always confirm anything they list on the university's own page.
Allwork.Space looks at whether hiring really picks up in September and how job seekers should plan their fall search.
Why I recommend it: Seasonal hiring patterns are averages — your field may differ. Use this to time applications, not to pause your search.
Research page of labour economist Kory Kantenga, with papers on labour markets, hiring and how technology changes work.
Why I recommend it: Academic papers — skim the abstracts first. Some linked journal versions may be paywalled; working-paper versions are usually free.
angld.ai analysis of 20,973 posts on Reddit's r/recruitinghell finding that being ghosted after applying now rivals rejection as job seekers' top complaint.
Why I recommend it: Written by angld.ai, which sells a paid tool for reaching hiring managers directly — the answer to ghosting it points to is its own product. Reddit complaints also skew toward the most frustrated job seekers.
Nicholas Bloom, Gordon B. Dahl and Dan-Olof Rooth study whether the rise in remote work explains the recent jump in employment among people with disabilities (American Economic Review: Insights, June 2026).
Why I recommend it: Peer reviewed. Bloom has long argued for remote and hybrid work, so it's worth knowing where the authors stand.
Personal site of the Stanford economist who directs the Digital Economy Lab, with links to his research on AI, productivity and work.
Why I recommend it: One of the most cited voices on AI and jobs. He is broadly optimistic about AI augmenting workers, so read him alongside more skeptical economists.
The non-profit, non-partisan research organisation behind most influential US economics working papers, including much of the research on AI and jobs.
Why I recommend it: NBER working papers are free to download, but most are not yet peer reviewed. Treat headline findings as early evidence.
Research Square preprint using an audit study run during the COVID-19 pandemic to compare how race affects callbacks for internships versus entry-level jobs.
Why I recommend it: A preprint — not yet peer reviewed — and collected during the pandemic, when hiring was unusual.
