103 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Free Substack newsletter from Andrew Yeung on people, events and trends in tech and business, with tens of thousands of subscribers.
Newsletter on LinkedIn profile optimization and job search tactics from recruiter Kristof Schoenaerts. Free to read.
Newsletter teaching data science fundamentals to self-taught learners, written by David Langer. Free to read.
About page for Where's Your Ed At, Ed Zitron's newsletter and podcast taking a critical look at the tech industry, including its coverage of AI companies and spending.
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.
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.
Free Substack newsletter by a principal cybersecurity engineer sharing career tips and cybersecurity news, including a recurring 14-day U.S. cyber threat forecast (e.g. the September 22, 2026 VECTR-CAST report on actively exploited Cisco, ScreenConnect and VMware vulnerabilities).
Why I recommend it: Good for people moving into cybersecurity who want a practitioner's read on current threats. The threat levels and forecasts are the author's own analysis, not an official CISA rating — cross-check CVEs against the CISA KEV catalog.
Free weekly newsletter and articles from EX Research on internet culture, online communities, music, games and 'super-online' trends, plus free research reports.
Why I recommend it: EX Research is a paid marketing agency; the newsletter and articles are free and double as their advertising. Useful for marketers who need to understand online communities.
Free daily-ish newsletter covering robotics developments — humanoid launches, self-driving expansion, home robots — written for a general technical audience by the Rundown team, with a stated readership of 300,000+.
Why I recommend it: Free and quick to skim if you want to know what robots are actually shipping rather than what is promised. Two honest limits: it summarises company announcements far more often than independent testing, so a capability claim in it is usually the manufacturer's own; and it publishes no public story feed, so it cannot be wired into the headlines here — you read it by subscribing.
Technical newsletter by Vinoth Govindarajan taking AI agents apart: control loops, memory, orchestration, evaluation and what breaks in production. Recent series walks through the OpenCode architecture end to end.
Why I recommend it: Free to subscribe, over 2,000 readers; written for people who build software, not for beginners. Substack publications can add paid-only posts at any time, so check the top of a post before counting on it.
Manoush Zomorodi (NPR's TED Radio Hour) coins p(joy) as a deliberate counterpoint to p(doom), the probability-of-catastrophe number traded around AI circles: instead of estimating disaster, estimate whether satisfying moments are increasing in your life and what reliably creates them. The second half is a long interview with Brian Elliott of Work Forward on knowledge work right now — identity loss as machines take a skill you spent decades building, cognitive overload from supervising AI agents, and executives privately saying their best people and heaviest AI users are the likeliest to quit. Elliott's summary: human-led, AI-enabled, because nobody's competitive advantage is being average faster.
Why I recommend it: Read this the next time an AI doom number is quoted at you as though it were measured. The piece cites Gizmodo's plain point that no one at the frontier labs has an actual method for producing a p(doom) figure. The useful part is Elliott's three patterns in companies getting value from AI: a scorecard covering business impact, quality and employee engagement rather than tool usage; aiming at teams instead of individuals; and leaders using the tools in public, mistakes included. Free to read in full, no paywall.
A free newsletter and news site for IT professionals from Morning Brew, published four times a week, covering cybersecurity, cloud, hardware, IT operations, software and the practical side of AI adoption inside companies. Stories are short, reported, and written from the perspective of the people who have to run the systems — patching, asset inventories, wi-fi troubleshooting, legacy migration — rather than the vendors selling to them. Also runs free virtual events and digital guides.
Why I recommend it: Free to read on the site and free to subscribe — the subscribe box asks for an email, but nothing is paywalled. This is one of the better free ways to learn the vocabulary of an IT job you have not had yet, because it covers the unglamorous work that interviews actually ask about. Two things to keep in mind: it is ad and sponsor funded, so sponsored posts sit alongside the reporting and you should check the byline and any 'presented by' line; and it is written for people already inside IT departments, so expect jargon on first read.
Long-running free publication on data science, machine learning and AI, mixing daily tutorials with roundups of tools and techniques. Free to read, supported by ads and affiliate links.
Why I recommend it: Strongest on hands-on tutorials, weakest on product roundups — several posts carry affiliate links to courses, so treat recommendations as suggestions rather than independent verdicts.
Market analysis of education technology and the higher-education business: online program managers, learning platforms, enrollment trends, microcredentials, and the labor-market outcomes of degrees. Written by Phil Hill, a long-standing independent analyst of the sector.
Why I recommend it: Freemium: a good share of posts are free to read and there is a paid tier for the deeper market analysis. Useful if you are weighing whether a bootcamp, online degree or microcredential is worth the money — this is one of the few places that reports on the finances behind those programs rather than their marketing.
Sabrina Ramonov's practical guide to making money, creating content that gets customers, and getting started with AI-assisted work.
Why I recommend it: Public site and newsletter are free; coaching and courses are paid offerings listed separately.
Arvind Narayanan and Sayash Kapoor's newsletter separating AI that works from AI that is oversold, with close readings of specific product and research claims.
From the site: Analyzing AI as transformative but normal technology, not superintelligence. Click to read AI as Normal Technology, a Substack publication with tens of thousands of subscribers.
Why I recommend it: The archive is free to read and the best regular antidote to launch-post hype. The book of the same name is a paid purchase — you do not need it to follow the newsletter.
AI-powered trend intelligence that tracks what is going viral on TikTok, Instagram, X, YouTube and more. Browse public trend reports or subscribe to the newsletter to spot rising sounds, formats and aesthetics before they peak.
From the site: Discover emerging social media trends before they explode. Advanced AI predicts viral content across all major platforms.
Why I recommend it: Public trend reports and the newsletter are free to read. The full real-time dashboard appears to be invitation-only or not yet launched.
Publishing platform for newsletters, podcasts and video. Free to start and publish with no fees until you choose to charge readers; Substack takes 10% of paid subscriptions if you do.
From the site: The app for independent voices
Why I recommend it: Free tier covers everything you need to publish and grow; you only share revenue if you turn on paid subscriptions.
Newsletter and blog covering transformative AI risk, AI alignment, forecasting, longtermism and how to navigate the century ahead. By Holden Karnofsky; posts are freely readable with an optional audio version.
From the site: For audio version, search for "Cold Takes Audio" in your podcast app
Émile P. Torres's weekly newsletter examining the ideologies driving Silicon Valley — effective altruism, longtermism, TESCREAL, and the race to build artificial superintelligence — from a critical, insider-turned-skeptic perspective.
From the site: Stop doomscrolling and just read this! Click to read Realtime Techpocalypse Newsletter, by Émile P. Torres, a Substack publication with thousands of subscribers.
Site of the XPRIZE and Singularity founder: newsletters, podcasts and talks on exponential technology and longevity.
From the site: Founder of XPRIZE and pioneer in exponential technologies. Building a world of Abundance through innovation, longevity, and breakthrough ventures.
Why I recommend it: Relentlessly optimistic by design — he is selling a worldview as well as describing one. Read for the trends he spots, discount the certainty.
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.
A free newsletter explaining ideas in AI in plain English — mostly what and why, a little how.
From the site: Ideas in AI, preferably in English. Mostly what and why, a little how. Click to read Very Sane AI Newsletter, by SE Gyges, a Substack publication with thousands of subscribers.
Why I recommend it: A good weekly read if you want to understand AI without the hype or the math.
A free daily briefing on the AI economy — funding, regulation, model releases and safety incidents, summarised with links to primary sources.
From the site: Superpower Daily covers the AI economy with concise daily stories on models, products, agents, startups, business, infrastructure, policy, and culture.
Why I recommend it: Fast way to stay current without living on social media; the regulation items are the ones worth reading closely.
A free newsletter of operating playbooks for software companies, organised by function — sales, marketing, operations, product and finance.
Why I recommend it: If you are building or joining a startup, the function-by-function playbooks are the practical part most advice skips.
A free newsletter briefing on AI developments from a pro-human standpoint, covering labor, safety, policy and the campaigns pushing back on automation-first decisions.
Why I recommend it: A steady weekly read if you want the human-impact side of AI news rather than product launches.
Faine Greenwood's independent newsletter on drones, data and technological anxiety, including her global map of drone attacks on civilians.
Why I recommend it: Follow this if you want a specialist voice showing how to build authority in a niche.
A HubSpot guide to the email habits that make people unsubscribe, with practical fixes for frequency, subject lines, personalization and list hygiene. Useful for anyone sending a newsletter for a business or a job search.
Why I recommend it: Read this before you send your first newsletter; most of the mistakes are easy to avoid up front.
A free community space for readers of The Rundown AI newsletter, where you can ask questions about AI tools, share what you are building and see what other people are testing.
Why I recommend it: A low-pressure place to ask beginner AI questions without burning a favor with a colleague.
A practical walkthrough of building a good slide deck with AI: what to hand the model, what to keep yourself, and how to avoid the generic deck AI produces by default.
Why I recommend it: Decks are where AI output looks laziest fastest. Use the prompts here for structure, then write the words yourself.
A Substack essay from Prof. Pilyoung Kim on a recent study showing that warning users about sycophantic AI changes how they judge it — but not how much it shifts their views.
Why I recommend it: A sharp reminder that AI assistants can shape our opinions even when we know they are agreeing with us; relevant to anyone using AI for research or decisions.
A weekly newsletter rounding up cybersecurity news, threats, breaches, and career signals for anyone keeping pace with digital safety.
Why I recommend it: Curated security digest — good for staying current and spotting emerging roles.
A Substack essay from Ruben on privacy, data ownership, and the human side of digital trust.
Why I recommend it: Personal take on privacy that connects policy to everyday choices.
Mike Monteiro on making written communication sound as natural and convincing as conversation.
Why I recommend it: A short, useful read for anyone polishing cover letters, bios or LinkedIn posts.
Curated weekly newsletter covering AI research, tools, industry moves and practical applications.
Why I recommend it: A readable weekly roundup for staying current without drowning in AI news.
A weekly newsletter on the science of focus, energy and habits, written while balancing a full-time job and a growing creator business.
Why I recommend it: Practical habit writing from someone doing it alongside a day job.
Newsletter and essays on developments at the intersection of AI and the law, by Damien Charlotin, who also tracks AI hallucinations in court filings.
Why I recommend it: The go-to source for how courts are actually handling AI misuse.
Application-only founder showcase series and newsletter covering early-stage New York founders and funding as a hiring signal.
Why I recommend it: Funding news is a hiring signal. A company that just raised is usually about to open roles.
Newsletter on technology, business models, and the economics behind the products we use every day.
Why I recommend it: Good for understanding why companies behave the way they do, which matters when you are choosing an employer.
Career community and newsletter for early-career professionals, with job-search guidance and curated opportunities.
Why I recommend it: If you are in your first few years of work, a community that normalizes the confusion is worth as much as any tactic.
High-trust talent referrals from top founders, operators, and VCs. Built for fast-growing startups.
Why I recommend it: A referral-driven newsletter for people who want to break into high-growth startups through trusted introductions. If you're tired of cold applications, this is worth following.
A newsletter publishing platform with a free tier covering website, subscriber management, and growth and monetization tools.
Why I recommend it: A newsletter is the one audience nobody can take from you. Start it before you need it.
A newsletter analyzing what actually performs on LinkedIn and social platforms, based on running experiments and reporting the data rather than repeating best-practice folklore.
Why I recommend it: Most LinkedIn advice is guesswork dressed up as expertise. This one tests things and shows the numbers, which is why I read it.
Newsletter on career growth, leadership, and navigating work as a professional woman.
Why I recommend it: Short, honest writing about the parts of career growth that do not fit in a framework. Worth a subscription.
Regularly updated roundup of open roles, warm introductions, and opportunities shared through a personal professional network.
Why I recommend it: Curated lists like this beat job boards because a real person vouched for the posting. Reply and introduce yourself.
Daily writing and research publication covering AI, business strategy, and how knowledge workers actually use new tools, plus its own suite of AI products.
Why I recommend it: I read Every when I want thinking about AI that goes beyond hype cycles. The essays are long but they change how you work.
Economist Noah Smith's newsletter covering labor markets, technology, industrial policy, and the economics behind AI hype cycles.
Why I recommend it: One of the few writers I trust to check the numbers before drawing a conclusion. Worth a standing subscription if you follow the economy at all.
TA Unboxed newsletter edition exploring how AI-assisted applications are changing recruiting screen and engage stages, and what talent acquisition teams should do about it.
Why I recommend it: Read this to understand the recruiter's side of the desk. The same AI tools candidates use are flooding their applicant tracking systems, which changes how you should stand out.
Sifting through the techno-cultural debris. A newsletter that examines technology, culture, and AI with a critical, humanistic lens.
From the site: Sifting Through the Techno-Cultural Debris.
Why I recommend it: A critical, humanistic lens on AI hype. Good for staying skeptical about the culture technology creates.
Personal Substack by 0xMovez AI covering AI, automation, and emerging technology for thousands of subscribers.
From the site: My personal Substack. Click to read 0xMovez's Substack, by 0xMovez AI, a Substack publication with thousands of subscribers.
Why I recommend it: AI and automation commentary; sample a few posts to see if the angle matches where you are in your career.
Economic news and analysis explained in plain English by Mark Hamrick.
From the site: Economic news and analysis explained in plain English by Mark Hamrick
Why I recommend it: Mark Hamrick translates labor-market and Fed news into practical career context. Worth reading before making a big move.
The Job Hopper's roundup of no-cost tools for people switching careers — skills mapping, resume and profile help, research, and job tracking.
Why I recommend it: Start with the skills-translation tools. Career changers lose interviews on vocabulary far more often than on ability.
Guide arguing that nearly every paid job-search service has a free equivalent, with the specific free resources to use instead of coaching and resume packages.
Why I recommend it: This is the whole premise of this library too. Spend money only after free help has run out, not before.
LinkedIn newsletter on age bias in hiring, with tactics for experienced candidates on positioning, interviewing, and answering the "overqualified" objection.
Why I recommend it: Being over fifty is not the problem; being framed as expensive and inflexible is. This newsletter works on the framing.
A large curated list of free courses, certificates, and training programs across tech, business, and professional skills, organized by provider.
Why I recommend it: Do not try to work the whole list. Pick one credential that matches a job posting you actually want and finish it.
Linas Beliūnas's fintech newsletter issue rounding up funding, product launches, regulation, and hiring signals across banking and payments.
Why I recommend it: Industry newsletters are cheap market research. Read a few issues before a fintech interview and you will sound like an insider.
Culture and trends newsletter breaking down what Gen Z is actually doing and feeling right now, from counterculture shifts to anxiety about AI at work.
Why I recommend it: Read it if you market to, manage, or compete with early-career workers. Trend reports age fast, but the mood it captures is real.
Daily three-minute AI newsletter covering tools, prompts, and industry news for professionals, with a library of free AI resources.
Why I recommend it: A low-effort way to stay current on AI without doom-scrolling. Three minutes a day beats a weekend of catch-up.
Daily short playbooks, templates, and case studies for turning content into income across LinkedIn, X, Facebook, and newsletters, plus a free offer vault of creator resources.
Why I recommend it: Useful if your personal brand is part of your career plan. Take the templates, skip the hype about overnight income.
A Substack essay from the Side Work newsletter built on direct conversations about pay, showing what people in different roles actually earn and how they talk about it.
Why I recommend it: Real numbers from real people beat any salary calculator. Use it to set a floor before your next negotiation, and notice how plainly these folks discuss money.
Career accelerator newsletter and coaching from an executive career strategist — job search positioning and senior-level moves.
Why I recommend it: Worth following if you are targeting senior or executive roles where positioning matters more than volume.
Psychologist and professor Jacqueline Nesi translates new research on technology, attention, and mental health into practical guidance for digital life.
Why I recommend it: A research-backed counterweight to hot takes about screens and AI. Good source material if you write or speak about technology and people.
Newsletter breaking down system design and backend engineering concepts with clear diagrams — interview-grade explanations of how large systems work.
Why I recommend it: Use the diagrams as interview prep. If you can redraw one from memory and explain the tradeoffs out loud, you are ready to talk about it in a system design round.
Newsletter testing and comparing AI coding tools and prompts, with side-by-side results for developers.
Why I recommend it: Skip the hype cycle and read the comparisons. Pick one tool from a recent test, use it on a real project, and write up what happened.
Trillions in compute commitments come due in 2027–2028. The Reset Wall reveals how the AI boom breaks, and when.
From the site: Trillions in compute commitments come due in 2027–2028. The Reset Wall reveals how the AI boom breaks, and when.
Why I recommend it: A clear-eyed look at where the AI build-out may hit a financing and infrastructure wall — useful context for anyone advising job seekers or founders betting on the sector.
LinkedIn newsletter with resume strategies and actionable job search advice.
Why I recommend it: Subscribe and treat each issue as one small edit to make. Steady weekly tweaks beat rewriting your resume from scratch every few months.
Newsletter on building media and creator businesses that last, including the economics behind AI-generated content.
Why I recommend it: A good weekly counterweight to platform hype — it focuses on revenue durability instead of view counts.
Hue is the community-powered media company building a more connected future. Brands partner with us to sponsor events and content (podcast, email newsletters, digital mag, and social media) to build relationships with an engaged audience of leaders.
From the site: Hue is the community-powered media company building a more connected future. Brands partner with us to sponsor events and content (podcast, email newsletters, digital mag, and social media).
Why I recommend it: Community-powered media platform for leaders, creators and culture-makers.
Futurist and author of six books on employee experience and the future of work; publishes "The Future Of Work" newsletter.
Why I recommend it: Bridges the gap between "AI is coming" panic content and what it actually means for how you are managed day to day.
next play's breakdown of the different categories of AI companies hiring right now and where the momentum is heading.
Why I recommend it: Read it as a target list: pick two or three categories that match your background before you start applying.
Newsletter roundup of vetted freelance networks, AI interview tools, and free AI learning resources.
Why I recommend it: The source article behind this batch — worth skimming for the framing.
Founder, The Rundown AI. Publisher of the largest daily AI newsletter (2M+ readers), sharing breaking AI news and tool roundups.
Why I recommend it: Fastest way to keep up with new AI tools without reading a dozen sites.
Practical AI guidance for small business owners who aren't high-tech, from a fellow small business owner.
In plain terms: This newsletter provides practical artificial intelligence guidance written by a small business owner. You can learn how to use AI to help your business succeed, even if you are not high-tech.
Why I recommend it: Written for Main Street, not for engineers — start here if AI feels like it is not for you.
Daily business news with a sharp, irreverent tone — startup stories, market shifts, and unconventional trends.
In plain terms: This free media site provides daily news, podcasts, and videos covering business trends, startups, and technology. You can follow industry shifts and browse guides to find new side hustle and business ideas.
Why I recommend it: Fun read that quietly teaches you how small businesses make money.
Fast daily digest of AI news and tools, part of the TLDR newsletter network.
In plain terms: This free daily email newsletter summarizes artificial intelligence news, research papers, and developer tools. You can use it to stay updated on technical industry releases in a quick five-minute read.
Why I recommend it: The shortest of the daily AI digests — good if your inbox is already full.
Analysis at the intersection of finance and technology trends, by Byrne Hobart.
In plain terms: This newsletter provides in-depth articles analyzing trends, strategies, and news across the technology and finance industries. You can read detailed company profiles to understand market shifts and explore an included job board.
Why I recommend it: Dense, but it explains where the money behind tech is actually going.
Actionable insights from world-recognized founders, for aspiring and early-stage entrepreneurs.
In plain terms: This education platform provides free training, podcasts, and guides for aspiring and early-stage entrepreneurs. You can learn how to launch an online store, run digital marketing campaigns, and build a business using advice from experienced founders.
Why I recommend it: Practical founder interviews rather than motivation for its own sake.
Reporting on the intersection of Silicon Valley and democracy, by Casey Newton.
In plain terms: This publication delivers reporting and analysis on artificial intelligence, social platforms, and the tech industry. You can read free articles to stay updated on how new technology impacts modern work and business.
Why I recommend it: Independent accountability reporting on the platforms we all depend on.
Machine learning research explained clearly, by Sebastian Raschka. 199K+ subscribers.
In plain terms: This newsletter breaks down recent machine learning and artificial intelligence research into clear explanations. You can read it to stay up to date on new developments in the field.
Why I recommend it: Patient, teacherly explanations of ML research — great for career switchers.
Power dynamics and inside stories from Big Tech, by Alex Kantrowitz.
In plain terms: This newsletter and podcast covers inside reporting on major tech companies and their impact on society. You can read weekly updates and listen to interviews to stay informed about the technology industry.
Why I recommend it: Good on how decisions inside big companies land on workers.
Executive-level career strategy from a 10+ year career coaching practice.
In plain terms: This site offers resume writing and career strategy services tailored for senior leaders and executives. You can get help creating leadership resumes, board bios, and LinkedIn profiles to support your next career move.
Why I recommend it: Strong on senior and executive positioning if you have outgrown the standard resume advice.
Daily AI news and tools digest written for a broad professional audience.
In plain terms: This free daily newsletter covers the latest artificial intelligence news and technology trends. You can read quick guides to discover new tools and learn how to use practical AI programs for your work.
Why I recommend it: Written for people who want to use AI at work, not build it.
Weekly, deeply researched advice on building products, driving growth, and accelerating your career, for product leaders and founders.
In plain terms: This weekly newsletter provides in-depth advice on building products, driving business growth, and advancing your career. You can read it to learn practical strategies for founder and product leadership roles.
Why I recommend it: The most useful single source I know for how promotions, scope, and product careers actually work.
Analysis of the strategy and business side of technology and media, by Ben Thompson.
In plain terms: This website provides articles and podcasts that analyze the business strategy and impact of technology companies. You can explore in-depth commentary to better understand industry trends and how modern tech businesses operate.
Why I recommend it: Teaches you to read industry news as strategy instead of headlines.
Daily, witty business news digest for entrepreneurs and professionals.
Why I recommend it: The easiest way to sound current in interviews and networking calls.
Weekly synthesis of AI research and policy by Jack Clark, Anthropic co-founder. 130K+ subscribers.
In plain terms: This weekly newsletter summarizes the latest artificial intelligence research and policy. You can read it to keep up with developments in AI technology.
Why I recommend it: Best place to understand the policy fights that will shape AI jobs.
The largest daily AI news email, with over 2 million readers.
In plain terms: This website offers a daily newsletter covering the latest artificial intelligence news and trends. You can explore practical guides, courses, and categorized tools to learn how to use these technologies in your everyday work.
Why I recommend it: Five minutes a day is enough to stop feeling behind on AI.
Long-form strategy deep dives on companies, markets, and the people shaping them.
Why I recommend it: One long piece at a time — good weekend reading if you are building something.
Technical AI newsletter for engineers building on AI systems, covering evals, inference, and agentic architectures.
In plain terms: This technical newsletter and podcast covers how leading teams build artificial intelligence models, agents, and infrastructure. You can use it to learn how modern AI systems are built and keep your engineering knowledge up to date.
Why I recommend it: If you want an AI engineering job, this is the vocabulary you need.
Career intelligence, industry deep dives, and Big Tech analysis for senior engineers and engineering leaders, by Gergely Orosz.
In plain terms: This newsletter offers inside perspectives on Big Tech, startups, and the software industry. You can read its career insights and industry analysis to help navigate engineering and technology leadership roles.
Why I recommend it: Read this before a tech interview loop or a comp negotiation — it tells you how the other side thinks.
Newsletter of career opportunities, tech trends, and industry insight for current and aspiring Black technologists and entrepreneurs.
In plain terms: A newsletter mixing tech job opportunities with industry trends and commentary, built for Black technologists and entrepreneurs. A steady source of leads without scrolling job boards.
From the site: Career opportunities, tech trends, and industry insights delivered straight to your inbox. For current and aspiring technologists, entrepreneurs, and professionals.
Why I recommend it: Job leads plus honest industry commentary in one place. Subscribe and treat the opportunity posts as a weekly search prompt.
Analytics and Excel teacher helping professionals build real data skills and use AI to increase their impact at work.
In plain terms: An Excel MVP and author teaching practical analytics skills you can apply at work, including how to pair them with AI tools. Self-paced and beginner-friendly.
From the site: Helping you build real-world analytics skills so you can partner with AI to accelerate your impact at work. Author, LinkedIn Top Voice, Microsoft Excel MVP.
Why I recommend it: A good fit if you want data skills without a bootcamp. His lessons are built around work you actually do in a job.
A walkthrough of how to find and place the right keywords in your LinkedIn profile so recruiters and search actually surface you.
In plain terms: A short guide on choosing the keywords recruiters actually search and where to place them on your LinkedIn profile. Practical first step if your profile gets views but no messages.
From the site: Where it all starts
Why I recommend it: Start here before rewriting your whole profile. Keywords in your headline and About section do more work than clever wording.
Interview prep and career advice for developers from Fahim ul Haq, drawing on 15+ years in big tech.
In plain terms: A newsletter of coding interview prep and tech career advice from a longtime engineer and founder. Focused on interview patterns, system design, and growth in engineering roles.
From the site: Interview prep and career advice for devs. Tips and takeaways from 15+ years in tech.
Why I recommend it: Pair this with mock practice. The system design and interview breakdowns map closely to what big tech actually asks.
A team writing about improving how government operates, with an open hub for people who want to work on public-sector capacity.
Why I recommend it: If you want mission-driven work, this is a doorway into the public-sector and civic-tech world most job boards never show you.
Founder-turned-investor writing a widely-read AI newsletter covering new tools, launches, and what is actually useful.
In plain terms: An exited founder and investor sharing what he learns about AI tools, products, and startups. A low-effort way to keep up with a fast-moving space.
From the site: Exited founder turned investor. Sharing what I see and learn along the way.
Why I recommend it: The fastest way to stay current on AI tools without living on social media. Skim it weekly, try one tool.
Executive recruiter writing about how search firms really screen candidates, plus LinkedIn and job-search tactics.
In plain terms: An executive recruiter shares what happens behind the curtain of a search process and how to run a tighter job search. Aimed at experienced and senior professionals.
From the site: Executive recruiter by day and LinkedIn expert by night, giving executives a peek behind the executive search curtain and helping them run an efficient job search.
Why I recommend it: Follow someone who sits on the hiring side. His posts explain what recruiters skip past in seconds, which is hard to learn any other way.
Free, hands-on AI tutorials and automation walkthroughs for people who want to actually build with the tools.
In plain terms: Free AI tutorials and automation guides written for practitioners rather than theorists. Good for learning tools you can use in your job this week.
From the site: Free AI tutorials, prompts, and automation walkthroughs.
Why I recommend it: Her tutorials are step-by-step, not hype. Pick one workflow you repeat weekly and automate it.
Small-business columnist and owner writing on taxes, hiring, and regulations for Main Street businesses.
In plain terms: This site features columns and presentations from small-business adviser and accountant Gene Marks. You can explore practical insights on economic trends, workplace rules, and technology to help run or grow your business.
Why I recommend it: One of the few voices writing for a ten-person business rather than a venture-backed one.
Weekly newsletter read by recruiters worldwide — where hiring is heading, told to the people doing the hiring.
Why I recommend it: Reading what recruiters read gives you months of advance notice on how hiring is changing.
Long-running advice blog and newsletter on workplace questions — offers, bosses, boundaries, and awkward interviews.
In plain terms: This workplace advice website answers real reader questions about job hunting, difficult bosses, interviews, and office dynamics. You can browse practical guidance for tricky career situations or submit your own question for advice.
Why I recommend it: When you are not sure whether something at work is normal, the archive has already answered it.
Newsletter reporting on the fight to reshape technology in the public interest.
In plain terms: This newsletter reports on efforts to reshape technology in the public interest. You can read regular articles to stay informed about technology ethics and industry reform.
From the site: Idea Trafficking. Click to read Hard Reset, by Trafficker 01, a Substack publication. Launched 5 years ago.
Why I recommend it: Skimmable and current — good for staying briefed in ten minutes a week.
Brookings fellow writing on AI, workers, and the future of good jobs.
In plain terms: This newsletter features writing from a Brookings fellow about artificial intelligence, workers, and the future of jobs. You can read it to stay informed about how technology impacts the modern workplace.
From the site: Click to read Molly Kinder on Substack. Launched 15 days ago.
Why I recommend it: Her worker-first framing is exactly how to talk about AI in a job interview.
