The blogs that actually move the needle for AI product managers. No SEO fluff, no recycled takes — these are the writers shaping how AI products get built in 2026.
How We Picked These
There are thousands of AI blogs. Most repeat each other. The ones below pass three filters: original analysis (not summaries of someone else's work), shipped-product perspective (writers who've actually built things), and signal density (you finish a post smarter, not just more informed).
We update this list every quarter. If a writer goes quiet or starts phoning it in, they get cut.
📚Reading is the warm-up. The AI PM Masterclass turns these ideas into shipped products in 4 weekends with a Salesforce Sr. Director PM.
For Product Strategy and Craft
1. Lenny's Newsletter (Lenny Rachitsky)
The default product management blog of the industry, with deep AI coverage in 2025–2026. Lenny interviews PMs at OpenAI, Anthropic, Notion AI, Linear, and Perplexity. Long-form, structured, ruthlessly edited.
Why AI PMs need this: The "How AI is changing product management" thread alone is a masterclass. You'll see how the best teams are actually working, not how Twitter pretends they are.
Visit Lenny's Newsletter2. Stratechery (Ben Thompson)
The strategy lens on every major AI move. Ben's frameworks — aggregation theory, the smiling curve, conservation of attractive profits — explain why OpenAI, Anthropic, Google, and Meta are positioning the way they are. Daily updates plus deep weekly analysis.
Why AI PMs need this: Most AI coverage is breathless and short. Stratechery is patient and structural. If you want to predict where the puck is going, this is the source. See our defensibility playbook for related thinking.
Visit Stratechery3. Every (Dan Shipper, Evan Armstrong, Nathan Baschez)
The best blog about how AI is actually changing knowledge work. Dan's "Chain of Thought" series reads like field notes from someone running a real company on top of AI tools. Practical, weird, opinionated.
Why AI PMs need this: You'll see real workflows you can copy this week. Plus Every spawns its own software, so the writing is always grounded in shipped product.
Visit EveryFor Technical Depth
4. Simon Willison's Weblog
Simon is the single best public log of "what's actually possible with LLMs this week." Co-creator of Django, builder of Datasette and llm CLI. He posts daily, links generously, and benchmarks new models against real tasks the same day they ship.
Why AI PMs need this: If you only follow one technical blog, follow this one. You'll know about new models, capabilities, and security issues before your engineers do.
Visit simonwillison.net5. Latent Space (swyx & Alessio Fanelli)
The AI engineering blog and podcast that defined the term "AI engineer." Deep technical interviews with the people building the stack — Modal, LangChain, Cursor, Anthropic, Pinecone, Together — plus weekly news roundups that actually filter signal from noise.
Why AI PMs need this: If you work with engineers, this is how to speak their language. The "AI Engineer Reading List" is the curriculum your ML lead wishes you'd read.
Visit Latent Space6. Interconnects (Nathan Lambert)
Nathan runs RLHF and post-training at AI2 and writes the clearest explainer blog on frontier model training methods. RLHF, DPO, RLAIF, reasoning models — if you want to understand why o-series and Claude reasoning models behave the way they do, this is the source.
Why AI PMs need this: Reasoning models changed the product surface area in 2025. Nathan explains the mechanics in PM-readable English. Pair with our reasoning models guide.
Visit Interconnects7. Lilian Weng's Blog (lilianweng.github.io)
Lilian was Head of Safety Systems at OpenAI. Her long-form survey posts on agents, RLHF, prompt engineering, and hallucination are the deepest free educational material on those topics anywhere. Updated less often, but every post is a syllabus.
Why AI PMs need this: When you need to actually understand a concept (not just have an opinion), Lilian's the cleanest reference. Read alongside our hallucination guide.
Visit Lil'LogFor Honest Skepticism
8. AI Snake Oil (Arvind Narayanan & Sayash Kapoor)
Two Princeton researchers who systematically debunk overclaims in AI. They're not anti-AI — they're anti-BS. When a benchmark looks too good, when a startup's claims smell off, when an academic paper has data leakage, AI Snake Oil shows the receipts.
Why AI PMs need this: Your job involves making bets. AI Snake Oil keeps you from betting on hype. Required reading before any "AI agent" pitch deck.
Visit AI Snake Oil9. Marginal Revolution (Tyler Cowen & Alex Tabarrok)
Not technically an AI blog, but Tyler is the most consistently interesting public thinker on AI's economic and societal effects. His "model this" posts and book reviews are dense with second-order thinking most AI commentary lacks.
Why AI PMs need this: Your products live inside an economy. Tyler trains your eye for the systems your AI features will reshape — labor markets, education, attention, trust.
Visit Marginal RevolutionFor News and Trends
10. Import AI (Jack Clark)
Jack co-founded Anthropic and previously ran policy at OpenAI. His weekly newsletter rounds up the most consequential research, with a short fiction "Tech Tales" coda that's somehow always on point. Sober, sharp, no hype.
Why AI PMs need this: One email a week, and you're caught up on the research that will become product capabilities in 6–18 months.
Visit Import AI11. Last Week in AI (Andrey Kurenkov & Sharon Zhou)
Comprehensive weekly news digest with categorized coverage: applications, business, research, policy, and concerns. The closest thing to a "newspaper of record" for AI.
Why AI PMs need this: Skim it Monday morning, skip the hype cycle for the rest of the week. The categorization helps you focus on what's relevant to your role.
Visit Last Week in AI12. The Pragmatic Engineer (Gergely Orosz)
Engineering management blog with growing AI coverage. Gergely's deep dives on how AI is changing engineering org design, hiring, and code review are the best PM-adjacent reads on those topics.
Why AI PMs need this: Your engineering counterparts are reading this. Read it too, and you'll have better conversations about velocity, hiring, and AI tooling decisions.
Visit The Pragmatic EngineerFor Frontier Lab Insight
13. Anthropic Engineering Blog
Anthropic's engineering posts on Claude tool use, agent design, prompt caching, and Constitutional AI are some of the clearest writing on building with frontier models. Practical, with real code.
Why AI PMs need this: If you're shipping with Claude, OpenAI, or any frontier model, this is the implementation reference. Read with our tool use patterns guide.
Visit Anthropic Engineering14. OpenAI Blog
Less technical depth than Anthropic's engineering blog, but the OpenAI blog is the official launchpad for new models, products, and policy positions. Skim everything, read the API and research posts in full.
Why AI PMs need this: When ChatGPT or the OpenAI API ships something, your roadmap probably moves. This is your earliest signal source for those changes.
Visit OpenAI Blog15. Hugging Face Blog
The applied open-source AI blog. Posts on quantization, fine-tuning, evaluation, and model releases are detailed, reproducible, and free. The reference for "how do I actually do X with open models."
Why AI PMs need this: Open models are a real option for cost, privacy, and control. Hugging Face teaches you what the trade-offs actually are. Pair with our make-or-buy guide.
Visit Hugging Face BlogReading Strategy
Don't subscribe to all 15. Pick three: one strategy, one technical, one news. Read them well for a month before adding anyone else. Most PMs drown in feeds and learn nothing. Three sources, deeply absorbed, beat fifteen sources skimmed.
How to Actually Read These
Use an RSS reader. Feedly, Reeder, or NetNewsWire. Algorithmic feeds will not show you the most useful posts — they'll show you the most engaging ones. Those are different.
Block 30 minutes, twice a week. Tuesday and Friday mornings work for most people. Skim, star three pieces, read them carefully. That's your AI input diet.
Take notes that link to a project. If you can't connect what you read to a decision you're making, you're not reading — you're consuming.
For a structured way to convert reading into shipped product, see our personal learning OS and AI PM reading list.
What to Skip
Three categories of blogs we deliberately left off this list.
VC content marketing. Most firm blogs are recruiting funnels disguised as analysis. A few exceptions exist; almost all are skippable.
"10 Prompts That Will Change Your Life" SEO posts. If a blog is mostly LinkedIn-style listicles, the writer hasn't shipped anything in a while. Move on.
Pure benchmark hot-takes. Twitter is full of new-model reactions. Wait 48 hours; the people on this list will tell you what actually matters.
Build Your Feed in 10 Minutes
If you do nothing else after reading this, do this.
Open Feedly. Add Lenny's, Simon Willison, Latent Space, Stratechery, and Import AI. Five sources, fifteen minutes a week, and you'll be in the top decile of AI PMs by signal quality. Add more only when you find one of the original five repeating itself.
Then go build something with what you read. Reading is preparation. Shipping is the job. Our AI Product Management Masterclass is the fastest bridge from input to output we know how to build.