Resource Hub
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17 resources
USA Today reports experts saying the traditional career path is fading as workers embrace AI and portfolio careers for more stability.
Help Net Security roundup of colleges and universities offering degrees, courses and certificates that meet cybersecurity industry demand.
A free job board focused on AI, machine learning, data science, and data engineering roles, with company listings and a career insights blog. Job seekers can browse and search openings at no cost; employers pay to post roles.
LeadDev feature on software developers who refuse to use AI tools, even when it costs them clients, job offers and career progress.
Why I recommend it: A set of personal stories, not a survey — useful for understanding the trade-offs, not how common this is.
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.
Job board built around company culture, pairing curated listings with an AI-powered application autofill and a Slack community for peer career support.
Why I recommend it: Free to search and apply. The AI autofill can speed up repetitive forms, but review every answer before submitting — a hiring manager's first impression should be yours, not the model's.
A communal blog where working mathematicians — professors, PhD students, sceptics and enthusiasts alike — write about what AI is doing to their field: authorship, what counts as understanding, where papers will go, and whether the job changes. Recent pieces include Martin Hairer on why he joined the AGMAI advisory group and Jonny Evans on the choices ahead. Submissions are open to anyone in the field, any length.
Why I recommend it: Free to read and free to write for. Worth reading even if you never touch mathematics: it is one of the few places where a whole profession is arguing in public about what AI does to its craft, in its own words rather than a journalist's. These are individual opinions, not findings — the value is the range of them, and the disagreement is the point.
An internal-talk write-up in which AWS's chief AI and technology officer lays out how he expects AI and cloud work to change, including what he thinks engineers should get good at. Free to read, no sign-up.
From the site: At the AWS Global Meeting, Matt Wood drew a parallel between AI today and cloud's early days—and brought a live demo to prove the future is already here.
Why I recommend it: Worth reading as an industry leader's view of where the work is heading — it is also Amazon talking about Amazon, so treat the optimism as a company position, not a neutral forecast.
Open-access study in Frontiers in Artificial Intelligence on how workers' career satisfaction holds up as AI enters their jobs, and why feeling supported by an employer does not fully cushion the effect over time.
From the site: IntroductionThe growing integration of Artificial Intelligence (AI) into the workplace is reshaping employees’ perceptions of job and career stability, poten...
Why I recommend it: Useful if you are coaching people through AI-driven change at work: the finding is that reassurance from an employer alone does not protect long-term satisfaction. Peer-reviewed and free to read in full.
Workplace and tech news site covering AI, careers, startups and hiring, with a focus on the Indian tech industry.
From the site: OfficeChai is India’s top platform dedicated to the workplace, office buzz and Indian business. We profile interesting startups, feature inspiring career stories, break news from the corporate world, and provide a glimpse of the work culture at top organizations. - See more at: https://officechai.com/about/#sthash.deB…
Why I recommend it: Useful for AI hiring and workplace stories that Western outlets skip. Short posts, so treat them as pointers.
Substack from historian Rutger Bregman on moral ambition and doing work that matters, aimed at people considering a career built around impact.
From the site: Historian | Author of ‘Moral Ambition’ (2025), ‘Humankind’ (2020) and ‘Utopia for Realists’ (2014) | Co-founder of The School for Moral Ambition. Click to read Rutger Bregman, a Substack publication with tens of thousands of subscribers.
Why I recommend it: Directly relevant if you are rethinking what your career is for. It argues a position hard; take the questions, not the prescriptions.
IBM's free tech publication — explainers, news and market analysis aimed at people working in and around technology.
From the site: Experience an integrated media property for tech workers—latest news, explainers and market insights to help stay ahead of the curve.
Why I recommend it: Clear explainers, but it is a vendor publication — the conclusion usually favors enterprise software.
Personal essays from OpenAI's president on engineering careers, hiring, self-teaching and building technical teams.
Why I recommend it: His writing on how he taught himself and how he hires is the useful part — read those posts first.
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.
Open roles at SYNRG, posted on the company UltiPro job board.
Why I recommend it: Direct employer board — check regularly for posted openings.
Careers hub for MITRE, a not-for-profit operator of federally funded research and development centers, with internships, early-career roles, and research positions.
Why I recommend it: Mission-driven tech employers often get overlooked by job seekers chasing big tech. Less competition, real work.
Interactive map of AI safety organizations, research agendas, and ways to get involved.
Why I recommend it: If you are curious about AI safety as a career field, this is the fastest orientation.
