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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26 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.
U.S. Department of Labor-sponsored occupational database with information on tasks, skills, education, work activities and career requirements for more than 900 occupations. Free public access for career exploration and occupational research.
Korn Ferry's Talent Trends 2027 outlook on skills-shifting in the workforce.
WEF's 2025 report on expected job growth and decline, skills shifts and employer plans through 2030, based on a global employer survey.
An October 20, 2026 ISC2 announcement of a coalition of employers, tech companies and workforce groups that will build a toolkit describing how cybersecurity jobs, roles and skills are changing with AI.
Google Research post on a three-month randomized controlled trial with patent attorneys: AI use raised work quality across the board, but only senior lawyers showed stronger unassisted judgment afterward; junior lawyers showed no average skill gain.
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.
An April 2026 U.S. Department of Labor announcement of a national contracting opportunity to integrate artificial intelligence skills into Registered Apprenticeship programs. The Employment and Training Administration initiative seeks to expand AI-related training, modernize apprenticeship programs, and build AI literacy and technical skills across industries, aligning with the department's AI Literacy Framework and the Make America AI-Ready initiative.
Why I recommend it: If you want to move into AI-adjacent work without a four-year degree, Registered Apprenticeships are one of the few earn-while-you-learn paths, and this initiative is the signal that AI skills are now part of that pipeline. Watch your state's apprenticeship sponsor list for AI-related openings.
An article on using AI to support skilled work instead of hollowing out the know-how people build over a career.
Why I recommend it: Opinion piece from a trade site — good prompts for thinking, not research findings.
Rize Education's blog on higher-ed trends, enrollment, program adoption and career-ready courses, told from a tech-and-academics angle.
Why I recommend it: Free to read. Rize sells course partnerships to colleges, so its view of what schools should offer isn't neutral.
DeepLearning.AI's weekly newsletter. This issue introduces Andrew Ng's AI Engineering Skills Map, plus news on Meta, Google robotics and MiniMax's open video model.
Why I recommend it: Useful for mapping which AI engineering skills to learn next. DeepLearning.AI sells courses, so the skills map points toward its own catalog.
IBM Institute for Business Value survey of 1,500 chief HR officers and 8,800 employees worldwide, published 21 September 2026. 71% of CHROs call the ability to supervise, validate and override AI outputs the workforce's most essential skill, while only 29% of employees rank judgment as important. 60% of employees worry AI is eroding their skills, naming critical thinking most often; three in four of those say the erosion has already begun. CHROs name critical thinking (57%) and human judgment (48%) among the most important capabilities. 46% of organisations leave the CHRO out of AI strategy entirely.
Why I recommend it: The one number to take into an interview or a performance review: employers say the skill they now value most is checking and overruling the machine, and most employees have not caught up. That gap is your opening — say out loud that you review AI output rather than forward it. Read the rest carefully. This is IBM's own survey, run by IBM's consulting arm, and IBM sells the AI systems and the workforce redesign advice the study concludes you need; the free press release gives the figures, while the full report asks for your details. The 18% risk reduction and 20% quality improvement are self-reported by the companies surveyed, not measured by anyone independent, and 'employees worry their skills are eroding' is how people feel, not a test of whether their skills actually declined.
Hosseinioun and colleagues use US survey and resume data to show skills sit in a nested order — some can only be learned once others are in place — and link that structure to wage gaps and long-term wage penalties after job loss.
Why I recommend it: Open access, so the full paper is free — no library login needed. The useful takeaway for career work: skill order matters. Learning a foundation skill first opens more later moves than stacking another surface skill, and the paper shows why some people recover from a layoff faster than others.
A free online jeopardy-style capture-the-flag run as part of the 7th EOCON conference. 20 November 2026, 10:00 UTC to 22 November 2026, 10:00 UTC.
From the site: EyesOpenCTF 2026 is a FREE CTF competition organized as part of the 7th edition of EOCON. This year, the competiti...
Details: The organizers state plainly that it is free to enter. Good weekend practice across a range of challenge types.
Published research and analysis on education, skills and workforce markets from HolonIQ, including global market reports and outlook pieces.
From the site: Published research and analysis on education, skills and workforce markets.
Why I recommend it: The research pages are free to read, though HolonIQ sells paid intelligence products — treat the reports as vendor research and check who funded any figure you plan to quote.
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.
Andrew Ng on the skills that let a developer shape what gets built, not just implement someone else's spec: driving the build loop, product decisions, communication and high-agency ownership.
Why I recommend it: A clear answer to "what should I actually learn next" in AI work.
A free conversation with Veronica Salcido of GrowthAssistant on hiring for durable skills that outlast specific tools, and what that means for how candidates present themselves.
Why I recommend it: Hear how a hiring leader actually judges candidates, then mirror that language in your applications.
edX research on which AI skills employers are hiring for, across industries and seniority levels, with data on how postings have shifted.
Why I recommend it: Use it to pick what to learn next, not to panic. Two skills learned well beats ten skimmed.
Guide to choosing and phrasing resume skills, with examples of hard and soft skills employers actually screen for.
Why I recommend it: Use this to cut the generic skills list most resumes carry. Keep only skills you can back up with a story from your last three roles.
A guided system where AI builders share insights, contribute projects, evaluate real-world impact, and amplify practical skills alongside an AI mentor.
Why I recommend it: I like the emphasis on building and evaluating impact rather than just consuming AI news. Useful if you want to move from "AI curious" to "AI capable."
Visual learning paths and skill maps for modern engineering and tech roles.
Why I recommend it: Pick one track and finish it — the roadmaps are for focus, not collecting.
Labor market research institute studying degree requirements, skills-based hiring trends, and economic mobility using real job posting data.
In plain terms: This research institute analyzes employment data and hiring trends across the country. You can read free reports to learn which job skills are in demand, explore labor market forecasts, and find which credentials lead to higher pay.
Why I recommend it: Their reports tell you which employers actually dropped degree requirements versus which just said they did.
Free Google tool that maps your experience to possible career paths and the skills each one needs.
In plain terms: This free tool uses artificial intelligence to analyze your work experience and skills. You can use it to discover new career paths and see what skills you need for them.
From the site: An AI-powered tool to help you uncover career potential and analyze your skills to suggest new career paths.
Why I recommend it: Use this when you cannot name what you want next. It turns a vague feeling into job titles you can research.
