Who should I follow to learn about AI in product management?

If you want to learn **AI through a product management lens**, I’d follow a mix of product operators, AI builders, technical explainers, and strategy thinkers. The best people are not necessarily “AI PM influencers”; they’re people who show how to decide what to build, validate it, and ship it. [Best AI Product Management Blogs to Follow in 2026 | Curated List](https://www.institutepm.com/knowledge-hub/best-ai-pm-blogs-2026?utm_source=chatgpt.com) ## Product leaders building AI products - Lenny Rachitsky - Great for product craft, growth, discovery, and interviews with AI product leaders. His newsletter and podcast increasingly cover how teams at AI companies operate. [Best AI Product Management Blogs to Follow in 2026 | Curated List](https://www.institutepm.com/knowledge-hub/best-ai-pm-blogs-2026?utm_source=chatgpt.com) **Follow for:** product strategy, PM career growth, AI product case studies. - Claire Vo - Strong practical perspective on AI-native PM workflows, PRDs, and building AI products. [🖐 5 product leaders to follow if you want to know what to build with AI, and how to do it. These aren't people who just talk about AI. They build it, ship it, and show you how they did it. 1… | Jillian Lee Stout | 13 comments](https://www.linkedin.com/posts/jillianleestout_5-product-leaders-to-follow-if-you-want-activity-7463367634491842560-R0ZZ?utm_source=chatgpt.com) **Follow for:** “how do I actually work differently as an AI PM?” - Marily Nika - Focuses on GenAI product management, from ideation through deployment and evaluation. [🖐 5 product leaders to follow if you want to know what to build with AI, and how to do it. These aren't people who just talk about AI. They build it, ship it, and show you how they did it. 1… | Jillian Lee Stout | 13 comments](https://www.linkedin.com/posts/jillianleestout_5-product-leaders-to-follow-if-you-want-activity-7463367634491842560-R0ZZ?utm_source=chatgpt.com) **Follow for:** AI PM frameworks and hands-on examples. ## AI strategy and product thinking - Ben Thompson - Best for understanding why AI companies are making strategic moves, not just what features they launch. [Best AI Product Management Blogs to Follow in 2026 | Curated List](https://www.institutepm.com/knowledge-hub/best-ai-pm-blogs-2026?utm_source=chatgpt.com) **Follow for:** competitive strategy, platforms, business models. - Ethan Mollick - Excellent for understanding what current AI systems can actually do in real workflows. [Best AI Product Management Substacks to Subscribe to in 2026](https://www.institutepm.com/knowledge-hub/best-ai-pm-substacks?utm_source=chatgpt.com) **Follow for:** experiments, practical AI adoption, human-AI collaboration. - Dan Shipper - Explores how AI changes knowledge work and product opportunities. [Best AI Product Management Blogs to Follow in 2026 | Curated List](https://www.institutepm.com/knowledge-hub/best-ai-pm-blogs-2026?utm_source=chatgpt.com) **Follow for:** finding new AI product ideas. ## Technical people PMs should understand - Andrej Karpathy - One of the clearest teachers for understanding how neural networks and LLMs work. [Best AI Product Management YouTube Channels for 2026 | Curated List](https://www.institutepm.com/knowledge-hub/best-ai-pm-youtube-channels?utm_source=chatgpt.com) **Follow for:** enough technical depth to make better product decisions. - Simon Willison - Great for tracking what is actually possible with LLMs and new AI tooling. [Best AI Product Management Blogs to Follow in 2026 | Curated List](https://www.institutepm.com/knowledge-hub/best-ai-pm-blogs-2026?utm_source=chatgpt.com) **Follow for:** capabilities, limitations, experiments. - swyx - Strong bridge between AI engineering and product thinking. [Best AI Product Management Blogs to Follow in 2026 | Curated List](https://www.institutepm.com/knowledge-hub/best-ai-pm-blogs-2026?utm_source=chatgpt.com) **Follow for:** AI developer ecosystem, agents, tooling. ## Company builders worth studying - OpenAI product announcements and research - useful for understanding how frontier AI capabilities become products. - Anthropic - especially useful for thinking about AI safety, enterprise use cases, and model behavior. [Inside the tiny Anthropic team designed to kill bad ideas fast and keep starting over](https://www.businessinsider.com/anthropic-labs-team-ai-innovation-ipo-2026-9?utm_source=chatgpt.com) - Google DeepMind - useful for understanding research trends that may become future product capabilities. ## A simple “AI PM feed” I’d build If you only want **10 people/resources**, I’d pick: 1. Lenny Rachitsky 2. Ethan Mollick 3. Ben Thompson 4. Claire Vo 5. Marily Nika 6. Andrej Karpathy 7. Simon Willison 8. swyx 9. Dan Shipper 10. Marty Cagan (for timeless product fundamentals) A good AI PM learning loop is: - **Monday:** strategy (Thompson, Mollick) - **Midweek:** product craft (Lenny, Vo, Nika) - **Friday:** technical understanding (Karpathy, Willison, swyx) The key skill is not just learning AI features - it’s learning **how AI changes discovery, prioritization, UX, metrics, and the definition of a product itself**. [Research Roundup for Product Leaders: How to Survive the Next Decade of AI](https://www.gartner.com/en/documents/7995037?utm_source=chatgpt.com)

**Follow Andrew Ng, Cassie Kozyrkov, Ethan Mollick, and Allie K. Miller for AI \+ product management insights.** They bridge technical AI expertise with practical frameworks for product leaders, making their content especially valuable if you want to understand how AI impacts product strategy, design, and execution.[Top 10 AI influencers to follow on LinkedIn in 2026](https://datanorth.ai/blog/top-10-ai-influencers-to-follow-on-linkedin-in-2026)[10 Trustworthy AI Thought Leaders Worth Following in 2026](https://mondo.com/insights/trustworthy-ai-thought-leaders-worth-following/) ## 🌟 Key People to Follow Name| Role| Why They’re Relevant for AI in Product Management ---|---|--- **Andrew Ng**| Founder of DeepLearning.AI, AI Fund| Simplifies complex AI concepts, focuses on agentic workflows, and emphasizes practical adoption for product teams.[Top 10 AI influencers to follow on LinkedIn in 2026](https://datanorth.ai/blog/top-10-ai-influencers-to-follow-on-linkedin-in-2026)[10 Trustworthy AI Thought Leaders Worth Following in 2026](https://mondo.com/insights/trustworthy-ai-thought-leaders-worth-following/) **Cassie Kozyrkov**| Former Chief Decision Scientist at Google| Expert in enterprise AI decision-making, helps PMs understand how to integrate AI responsibly into product strategy.[10 Trustworthy AI Thought Leaders Worth Following in 2026](https://mondo.com/insights/trustworthy-ai-thought-leaders-worth-following/) **Ethan Mollick**| Wharton professor| Focuses on how AI reshapes business and management, offering practical insights for product leaders navigating AI disruption.[Top 10 AI influencers to follow on LinkedIn in 2026](https://datanorth.ai/blog/top-10-ai-influencers-to-follow-on-linkedin-in-2026)[10 Trustworthy AI Thought Leaders Worth Following in 2026](https://mondo.com/insights/trustworthy-ai-thought-leaders-worth-following/) **Allie K. Miller**| Former Global Head of AI at AWS| Shares hands-on advice for AI adoption, scaling, and productization, with a focus on practical business outcomes.[Top 10 AI influencers to follow on LinkedIn in 2026](https://datanorth.ai/blog/top-10-ai-influencers-to-follow-on-linkedin-in-2026)[10 Trustworthy AI Thought Leaders Worth Following in 2026](https://mondo.com/insights/trustworthy-ai-thought-leaders-worth-following/) **Fei-Fei Li**| Stanford professor, Human-Centered AI Institute| Advocates for human-centered AI design, critical for PMs balancing innovation with ethics.[Top 10 AI influencers to follow on LinkedIn in 2026](https://datanorth.ai/blog/top-10-ai-influencers-to-follow-on-linkedin-in-2026)[10 Trustworthy AI Thought Leaders Worth Following in 2026](https://mondo.com/insights/trustworthy-ai-thought-leaders-worth-following/) **Shreyas Doshi**| Former PM leader at Stripe, Twitter, Google| Known for product frameworks (like LNO System) and commentary on AI’s role in product management.[Thought Leaders – AI PM Bootcamp](https://byu-strategy.github.io/ai-pm-bootcamp/97-thought-leaders.html) **Melissa Perri**| CEO of Produx Labs| Focuses on product strategy and avoiding “build traps,” increasingly relevant in AI-driven product ecosystems.[Thought Leaders – AI PM Bootcamp](https://byu-strategy.github.io/ai-pm-bootcamp/97-thought-leaders.html) ## 📌 Why These Voices Matter * **Balance of technical \+ product expertise**: Ng, Li, and Kozyrkov bring deep AI knowledge, while Perri, Doshi, and Mollick translate it into product strategy frameworks. * **Responsible adoption**: Many emphasize _trustworthy AI_, ethics, and human-centered design - critical for PMs navigating risk.[10 Trustworthy AI Thought Leaders Worth Following in 2026](https://mondo.com/insights/trustworthy-ai-thought-leaders-worth-following/) * **Practical frameworks**: These leaders share actionable tools (e.g., discovery habits, growth models, agentic workflows) that PMs can apply directly.[Thought Leaders – AI PM Bootcamp](https://byu-strategy.github.io/ai-pm-bootcamp/97-thought-leaders.html) ## ⚠️ Risks & Considerations * **Hype vs. reality**: Some influencers focus on visionary ideas; balance them with practitioners like Allie K. Miller or Ethan Mollick who emphasize operational realities. * **Rapid change**: AI trends shift quickly; following diverse voices helps avoid tunnel vision. * **Ethics & governance**: Leaders like Fei-Fei Li and Cassie Kozyrkov highlight responsible AI - essential for PMs to avoid reputational or regulatory pitfalls.[10 Trustworthy AI Thought Leaders Worth Following in 2026](https://mondo.com/insights/trustworthy-ai-thought-leaders-worth-following/) 👉 If you want a **practical starting point**, follow Andrew Ng for technical clarity, Cassie Kozyrkov for decision frameworks, and Ethan Mollick for business impact. Would you like me to curate a **short “starter feed” list with direct LinkedIn profiles** so you can follow them right away?

To master AI in product management, a mix of top product leaders, AI practitioners, and educators regularly share actionable frameworks, prompt workflows, and strategic insights. The top voices to follow, primarily across LinkedIn, Substack, and X, include: ### 1\. Industry Practitioners & Thought Leaders * **Aakash Gupta** (Author of _Product Growth_): One of the most prolific writers on modern product management. He frequently publishes deep dives, newsletters, and breakdowns on AI product management, tech stacks, and career growth. * **Dr. Marily Nika** (AI Product Lead, ex-Google): A leading voice in AI PM education. She specializes in breaking down complex machine learning and generative AI concepts into practical workflows for non-technical product managers. [The 12 Best AI PM Courses to Supercharge Your Career in 2025](https://www.aakashg.com/ai-pm-courses/#:~:text=Table_title%3A%2012%20AI%20Product%20Management%20Courses%20%E2%80%94,\(6%E2%80%938h\)%3B%20hands%2Don%20exercises%20%26%20frameworks%20%E2%9C%A8%20%7C) * **Sachin Rekhi** (Founder of Connected / ex-LinkedIn): Regularly shares mental models, case studies, and essays on how generative AI is transforming traditional software product management and UX. * **Claire Vo** (CPO at LaunchDarkly): Excellent follow for practical perspectives on "vibe coding," agentic workflows, and how product teams can build and ship AI-native products rapidly. ### 2\. Newsletters & Communities to Watch * **Reforge Blog & Programs:** While Reforge is a paid platform, their public blog and essays written by top-tier tech leaders (from OpenAI, Google, and Meta) provide some of the sharpest strategic frameworks on AI product strategy. [The 12 Best AI PM Courses to Supercharge Your Career in 2025](https://www.aakashg.com/ai-pm-courses/#:~:text=For%20experienced%20product%20managers%20aiming%20to%20master,practitioner%2Dled%20insights%2C%20Reforge%20is%20the%20premium%20destination.) * **Product School:** Beyond their training programs, they host regular webinars, AMAs, and content featuring AI product leaders from companies like Amazon, Salesforce, and TikTok discussing real-world AI implementation. [AI Product Management Certification for PMs - Product School](https://productschool.com/certifications/ai-for-product-managers#:~:text=*%20%22It%20was%20the%20right%20time%20to,plans%20for%20individuals%20and%20teams.%20Single%20Certification.) * **Lenny’s Newsletter (Lenny Rachitsky):** While broader than just AI, Lenny frequently features deep-dive guides on how top PMs transition into AI, manage LLM-based products, and handle AI evaluation and prompt engineering. ### Where to start your daily feed: If you want a steady stream of immediate, high-value insights, start by following **Aakash Gupta** and **Dr. Marily Nika** on LinkedIn, and subscribe to a few product-focused Substacks. Pair that with hands-on experimentation - using tools like ChatGPT, Claude, and Perplexity to build your own mini-prototypes or manage product requirements documents (PRDs). [AI for Product Managers: How to Learn and Grow your AI Skills](https://www.pragmaticinstitute.com/resources/articles/product/how-to-learn-ai-as-a-product-manager-start-here/#:~:text=*%20Exercise%3A%20Use%20AI%20to%20analyze%20industry,and%20identify%20gaps%20in%20the%20competitive%20landscape.)

To master **AI in Product Management** , you want to follow practitioners who focus on both _building_ AI-native features and _using_ AI to supercharge traditional PM workflows (like writing PRDs, data analysis, and user research). [How to Become an AI PM](https://www.youtube.com/watch?v=GQd54gFtQJE)[Google AI PM Reveals the Tools 99% of Product Managers](https://www.youtube.com/watch?v=Ds7q3vGfyTg&t=136) The top experts, newsletters, and creators leading the space provide tactical, battle-tested insights: * _Dr. Marily Nika_ : An AI Product Manager (formerly at Google and Meta) who runs the [AI Product Academy Newsletter on Substack](https://marily.substack.com/) and co-hosts popular bootcamps on Maven. She is phenomenal at breaking down the distinction between building actual AI/ML models versus managing AI-driven user experiences. [AI Product Management Bootcamp & Certification by ... - Maven](https://maven.com/marily-nika/ai-pm-bootcamp)[Marily’s AI Product Academy Newsletter | Substack](https://marily.substack.com/) * _Aakash Gupta_ : Former VP of Product at Apollo.io and Head of Growth at Affirm, Aakash writes [Product Growth](https://www.aakashg.com/) - one of the largest product newsletters globally. He frequently publishes deep dives on AI product stacks, PM skill shifts in the age of AI, and tactical breakdowns of how tech companies are deploying AI. [Hi, I'm Aakash Gupta! - Product Growth](https://www.aakashg.com/)[Aakash Gupta: The Skill Every Product Manager MUST Learn](https://www.youtube.com/watch?v=whYs9JpLx8I) * _Denis Beslic_ : An AI Product Leader at Spotify (ex-Facebook/Meta, ex-Uber) who writes the AI Product Guy Substack. He focuses heavily on the realities of transitioning into AI product management and scaling machine learning features. [Getting Started and Thriving in the Age of AI | Denis Beslic](https://www.linkedin.com/posts/denis-beslic-30bb6b25_ai-product-management-getting-started-and-activity-7284224813621993472-Muc1) * _Andrew Ng_ : Founder of DeepLearning.AI and co-founder of Coursera, his AI for Everyone and associated AI product curriculums are gold standards for grasping the fundamental mechanics of machine learning and GenAI without getting bogged down in heavy computer science code. [Best AI Courses for Product Managers (2026) #shorts](https://www.youtube.com/shorts/IJZl3PUanZw) * Productboard’s Learning Hub: While not a single person, Productboard's Blog regularly curates modern frameworks, roundups, and interviews with chief product officers navigating AI roadmapping and customer feedback loops. [30 product management thought leaders to follow | Productboard](https://www.productboard.com/blog/30-product-management-thought-leaders-to-follow/) Are you looking to learn how to **build AI-native products** , or do you want to learn how to **use AI tools to speed up your day-to-day PM work** (like user research and PRD writing)? Let me know so I can tailor specific recommendations or frameworks for you.