Getting up to speed on the incredible capabilities of AI can feel overwhelming, especially given how rapidly it's changing. There's a ton of information out there; the challenge is wading through it to find what's actually useful versus simply clickbait.

Below is a shortlist of resources I've either used myself or recommended to others as good learning options.

This article was current as of June 2026

What I read to stay on top of the news

People also like tl;dr AI and the Rundown AI.

Learning resources

  • The most important: AI itself. To learn it, you need to use it. Try to push yourself to experiment, or practice asking yourself "is this something AI could do" every time you undertake a new task on your computer. Odds are, it's something AI can at least help with. You can learn an incredible amount by directly asking Claude and Codex to teach you, or asking them to explain how they'd approach a particular task.
  • Anthropic and OpenAI's own materials. Anthropic, in particular, has built out useful tutorials and how-to guides. The trick is to make sure none of them are too out of date for whatever the product's current capabilities are.
  • Hilary Gridley's AI Couch to 5k program for people who are truly new to using AI
  • DeepLearning AI's courses for specific, often technical, use cases. If you're newer to AI, try filtering for the beginner courses.
  • The "How I AI" podcast, run by the excellent Claire Vo. This podcast spun out of Lenny's newsletter, which was focused on product managers, and so can definitely be a bit more technical at times, but there are a lot of gems in there.
  • The AI Daily Briefing's Claw Camp — how to build and launch your very own OpenClaw agent. There's also an enterprise version of this, but it's significantly more expensive and mainly AI-driven.
  • Wyndo AI Maker has a lot of specific use case resources (more technical). The newsletter is pretty much AI-created, but it can be useful if you're willing to wade through complexity.
  • Coursera, Udemy, etc. all have a ton of AI courses. You can search for the ones most applicable to your current needs.
  • Substack has a lot of AI-related newsletters. The best way to find these is to search for a particular topic on Substack and see if any of the posts or writers resonate with you.
  • The Rundown's AI guides.

Software shortlist

Here's my knowledge-worker software shortlist for AI (you'll note that it's not extensive, as I believe part of the major use case of AI is to centralize work into one place — your own AI operating system).

Everyday AI work

I tested out Gemini Spark in Gmail in May 2026 and honestly wasn't impressed with the results.

Dictation and notes

Vibe coding

Deep research

Images

I don't create a lot of images, so I'm just a surface-level user of image platforms. I tend to have Claude or ChatGPT help write up prompts for various platforms and then use the platforms to iterate on the prompts to get what I want.

What you've learned

That's it! These resources should get you pretty far down the learning curve. The goal isn't to read all of them — pick one or two that fit how you learn and build them into your routine. AI moves fast enough that consistent exposure over time matters more than any single deep read.

📋 Try it this week

Subscribe to the AI Daily Briefing and listen to one episode. If you're brand new to AI, start with Hilary Gridley's AI Couch to 5k program instead — it's built for exactly where you are.