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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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102 resources
An explainx.ai guide on positioning a career as AI automates more work, covering recent layoff figures and which skills it recommends building. The site also promotes paid workshops.
A Brookings report outlining a four-part policy framework (brakes, steers, buffers, and shifts) for supporting workers as AI changes jobs.
Apollo's October 2026 Daily Spark commentary examining economic indicators of AI-related gains outside technology companies. Its conclusion is the firm's interpretation of the data shown.
The Guardian’s October 23, 2026 article examines Anthropic’s account of how AI agents have changed its workforce and hiring. Researchers question the report’s methods and whether its company-specific findings establish wider labor-market effects. Anthropic did not respond to the Guardian’s request for comment.
Clara Collier's essay in Asterisk Magazine on what people will do if AI surpasses humans at economically necessary labor.
UC Today article by Kristian McCann on whether companies will use AI productivity gains to cut headcount or reinvest them in capacity, citing research suggesting the technology's impact on jobs remains uneven.
A research coalition that develops and compares progressive policy visions for a U.S. economy in which AI has replaced or disrupted many jobs, with the stated aim that AI's gains reach all Americans. Its site lists research, advisors, an open request for information and jobs.
A worker survey on whether AI is already causing job losses finds a more complicated picture than the headlines suggest, looking at how AI is actually affecting employment and day-to-day work.
An argument that "zillennials" — the micro-generation bridging Millennials and Gen Z — carry a career advantage because they grew up across both analog and digital worlds.
Accenture's recurring Pulse of Change survey of C-suite executives and workers on business, technology and workforce trends, including how organizations are approaching AI adoption, talent and reinvention. The page presents the latest edition's findings with charts and analysis.
McKinsey Global Institute report (September 2026) on how AI, automation and structural trends are reshaping US jobs, examining which skills are growing or declining in demand and the pathways workers take into future jobs.
Google's first ATLAS report on how AI is being adopted across the economy, with findings on usage, productivity and work.
USA Today reports experts saying the traditional career path is fading as workers embrace AI and portfolio careers for more stability.
Joseph Politano examines U.S. job losses across media, film and the arts and asks how much of the change can be attributed to generative AI. Free to read.
SHRM's annual look at the challenges employers and HR teams expect in 2026, including workload pressure, skills gaps and shifting employee expectations.
Allwork.Space article on how artificial intelligence is changing corporate real estate planning and flexible workspace decisions. Free to read.
A Dreamforce 2026 conversation in which Salesforce Chief Platform & Engineering Officer Rohan Kumar sits down with Social Capital founder Chamath Palihapitiya on the future of tech, the true ROI of enterprise AI, and scaling the AI era. Free to stream on Salesforce+ with a free account.
Owl Labs' tenth annual survey report on how US employees work across office, hybrid, and remote arrangements, including attitudes toward return-to-office policies and workplace technology. Owl Labs sells video-conferencing hardware, so it has a commercial interest in hybrid work.
aboutamazon.comAn Amazon company-news post in which CEO Andy Jassy outlines how Amazon is using generative AI across its businesses and what he expects it to mean for the company's workforce. Published by Amazon about its own plans.
aboutamazon.comAdded Sep 27, 20260 opensJFF's explainer on three-year bachelor's degree programs: how schools are redesigning degrees around fewer credits and clearer career outcomes, which accreditors have approved them, and what the model could mean for cost and time-to-degree.
Why I recommend it: Worth reading before you or someone you advise commits to a four-year price tag. JFF is a workforce nonprofit with its own agenda around shorter pathways, so treat the optimism as advocacy — but the accreditation facts and school examples check out.
A Forbes Business Development Council column (Sept 15, 2026) arguing that the habit of continuous learning matters more for AI-era careers than any single technical skill.
Why I recommend it: Forbes Councils columns are written by paying council members, not Forbes journalists, so treat this as one practitioner's opinion. Forbes may limit free articles per month.
Allwork.Space roundup of business leaders predicting AI will shorten the workweek.
Why I recommend it: Predictions, not plans. None of these companies has announced a three-day week.
Pew Research Center short read, 18 August 2026, on a survey of US adults conducted 22-28 June 2026. 52% now say they are more concerned than excited about AI in daily life, up from 37% in 2021. Among adults aged 18-29, 55% are more concerned than excited and 11% more excited than concerned, and 73% think AI will mean fewer US jobs over the next 20 years, up from 61% in 2024.
Why I recommend it: Useful when a client says the worry is just in their head — it is not, and the numbers are free to download as a spreadsheet. Read it as what people expect, not as what has happened to employment: it measures opinion, not job counts.
Stanford Digital Economy Lab working paper by Bharat Chandar and Bouke Klein Teeselink, separating what happens to jobs after a firm adopts generative AI into a company-wide productivity effect and changes in what specific kinds of workers are asked to do.
Why I recommend it: Free, with the full PDF on the page. It is a working paper dated 21 September 2026, meaning it has not been through peer review yet, so read it as early evidence. Useful because it does not answer 'will AI take jobs' — it asks which workers get asked to do more and which get asked to do less.
