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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

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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.

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.