The Links I Actually Click
16 newsletters, reports, courses, and podcasts that I return to regularly. Not a bookmark dump. Every link here has earned its place by making my work or my clients' work measurably better. If something stops being useful, it gets cut.
Updated April 2026
Start Here
If you only have time for three, these are the ones. They cover the research, the daily news, and the deep thinking that informs everything else.
AI intelligence
McKinsey
The business case benchmark. 1,900+ executives across 105 countries on what AI is actually delivering and what's stuck in pilot purgatory. If you need to know where the competitive pressure is building, the stat you need is in here.
Gartner
The calibration tool. Maps where AI technologies actually sit on the maturity curve, from Innovation Trigger to Plateau of Productivity. Prevents you from over-investing in hype and under-investing in what's proven. Paired with Stanford and McKinsey, you have the full analytical triangle.
Stay current
Andrew Ng / DeepLearning.AI
Andrew Ng is the most trusted voice in applied AI. Weekly, curated, educational. He connects research breakthroughs to real-world implications without overhyping either. Pair it with The Rundown: one for daily headlines, one for weekly depth. Different brain, same week.
Ben Tossell
Ben Tossell built and sold companies before he started writing about AI, so the business model questions actually get asked. Weekly deep-dives on how organizations are generating real revenue from AI, not just experimenting with it. Founder-to-founder lens.
Podcasts
Gavin Purcell & Kevin Pereira
The most entertaining way to stay current on AI. Gavin Purcell (Emmy-winning Tonight Show showrunner) and Kevin Pereira (G4TV) cover weekly AI news and tools with genuine wit, accessible enough for total beginners, substantive enough for practitioners. If AI news feels like drinking from a firehose, this is the podcast that makes it feel manageable. New episodes every Friday.
Peter Diamandis
The bigger-picture lens. Peter Diamandis, founder of XPRIZE and Singularity University, hosts weekly conversations with builders, investors, and technologists (Eric Schmidt, Ben Horowitz, Ray Kurzweil) on where exponential technology is taking civilization. Less about this week's model release, more about the 10-year arc. The strategic counterweight to staying in the weeds.
Build skills
Andrew Ng / DeepLearning.AI
The course I point every non-technical leader to, first. Six hours. No code required. Built for people who need to make AI decisions, not build AI systems. Complete this before your next AI budget conversation. It shifts your credibility in the room immediately.
Anthropic
Built by the people who built Claude. Model-specific, hands-on, and more actionable than any third-party prompt guide, because it's written from the inside. If Claude is your primary AI tool, this is your primary playbook. Not optional.
DAIR.AI
The most comprehensive prompt engineering reference that exists. Model-agnostic, community-maintained, used by researchers worldwide. Covers everything from basics to agentic AI workflows. Bookmark it. You'll return to it for months.
Marketing
Paul Roetzer
Paul Roetzer has been writing about AI in marketing longer than almost anyone. The most focused resource at the intersection of AI and marketing strategy: the annual State of Marketing AI Report, the MAICON conference, the podcast. If you lead marketing in 2026, this is required reading.
Rand Fishkin
Rand Fishkin left Moz to build a better way to understand audiences, and the blog that accompanies it is a masterclass in contrarian, evidence-based marketing thinking. He challenges attribution myths, platform narratives, and lazy assumptions. Worth reading even when you disagree with him.
Lenny Rachitsky
Former Airbnb product manager. 1M+ subscribers. Covers growth strategy, product, and AI from someone who has operated at scale, not observed it from the sidelines. The benchmark interviews alone are worth the subscription. Data-driven, practitioner-sourced, consistently actionable.
Ann Handley
Ann Handley wrote the book on content marketing, literally. Total Annarchy is her biweekly newsletter on writing, brand voice, and marketing craft. In a world of AI-generated everything, her work is the persistent reminder that distinctiveness and voice are the actual competitive moat.
These resources inform the work. If you want help applying them to your business, schedule a strategy call.
Go deeper with the reading list
Reading List →Frequently Asked Questions
What AI newsletters are worth reading in 2026?
The Rundown AI for daily five-minute updates with the best signal-to-noise ratio available. The Batch by Andrew Ng for weekly depth that connects research to real-world implications. Ben's Bites for a founder-to-founder lens on how organizations generate real revenue from AI. Together they cover daily headlines, weekly analysis, and business model thinking.
Where can I find free AI learning resources?
Generative AI for Everyone by Andrew Ng is the best starting point. Six hours, no code required, built for people who make AI decisions rather than build AI systems. The Anthropic Prompt Engineering Guide is essential if Claude is your primary tool. The DAIR.AI Prompt Engineering Guide is the most comprehensive model-agnostic reference available.
What marketing newsletters should I subscribe to?
Marketing AI Institute by Paul Roetzer is required reading at the intersection of AI and marketing strategy. SparkToro by Rand Fishkin challenges attribution myths with evidence-based thinking. Lenny's Newsletter covers growth and product strategy from someone who operated at Airbnb. Total Annarchy by Ann Handley focuses on writing craft and brand voice.
What is the best AI research report for business leaders?
The Stanford HAI AI Index Report is the most comprehensive annual benchmark, cited by governments and boards globally. Pair it with the McKinsey State of AI survey for the business case data across 1,900+ executives, and the Gartner Hype Cycle for technology maturity mapping. Together they form the complete analytical triangle for AI decision-making.