Resource Hub
2467 hand-picked resources, updated every week. Search it, filter it, or just browse a collection and see what catches your eye. Want today’s headlines instead? Read the free AI news feed.
Answers come only from resources in this hub, with the sources listed underneath.
7 resources
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.
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.
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.
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.
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.
Company that supplies training data, evaluations and AI systems to labs, businesses and governments.
Why I recommend it: A company site, not a course. Useful for understanding the AI data industry; its products are paid and enterprise-only. Scale has faced reporting on contractor pay and conditions.
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.
