What do I get with the Beginners in AI newsletter?
One short issue every weekday morning. Each issue includes one notable AI story explained in plain English, one tool worth knowing about that day, and one practical tip you can use immediately. Roughly a 5-minute read.
What is in a typical issue?
| Section | What it is | Length |
|---|---|---|
| Top story | One notable AI news item, in plain English with primary sources | ~90 seconds |
| Tool of the day | One specific AI tool with a real-world use case | ~60 seconds |
| Quick tip | One practical AI technique you can apply today | ~30 seconds |
| Recommended reads | Optional books, podcasts, and links worth your weekend | Optional |
| Tomorrow’s preview | What is coming in the next issue | ~15 seconds |
How often does the newsletter ship?
Every weekday morning. Monday through Friday, one issue per day. Sundays are off so the news cycle can settle. Saturdays are quiet too.
Is the newsletter really free?
Yes. No paywall. No credit card. No “free trial” that flips to paid. The newsletter is free forever, and you can unsubscribe in one click whenever you want.
How is this different from other AI newsletters?
Three things. First, every story is human-curated from primary sources. Most “daily AI” newsletters in 2026 summarize 30 RSS feeds with GPT. We do not. Second, every issue is human-edited, not auto-generated. Third, we aim for balance. No breathless hype, no doom. Just what happened and why it matters for a non-technical reader.
Who writes the Beginners in AI newsletter?
James Swierczewski, the operator of Beginners in AI. The about page has the full background. Every issue ships with the author’s name on it. We do not use ghostwriter mills.
Will I get spammed if I subscribe?
No. One issue per weekday, plus the occasional Special Report announcement (about once per quarter). That is it. We do not rent the list. We do not pile on with re-engagement sequences. Unsubscribe is one click.
Can I read past issues somewhere?
Yes. The archive is at beginnersinai.com/archive. Every past issue is browsable without subscribing.
Common questions about the newsletter
What time does the newsletter arrive?
The newsletter ships every weekday morning at roughly 11 AM Eastern. Most subscribers see it in their inbox during morning coffee or commute.
Do I need a Beginners in AI account to subscribe?
No. Just an email address. The signup form on this page is the entire process.
Can I share the newsletter with my team?
Yes, please. Forward any issue you find useful. Sharing the public archive link works too. If your whole team wants to subscribe, point them to this page.
Will the newsletter teach me to use AI?
Not as a course, but yes in practice. Each issue includes one practical tip you can use the same day. Over a few weeks of issues, those tips compound into real fluency. For structured learning, pair the newsletter with the Start Here learning path.
What if I am already overwhelmed by AI news?
The newsletter is the antidote. One curated issue per day means you can ignore the rest of the AI press and still stay current. Many subscribers cite that as the main reason they signed up.
Is the newsletter just about ChatGPT and Claude?
No. The newsletter covers every major AI tool (ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot), plus specialized tools, plus the broader AI industry. The point is to keep you informed, not to push one product.
Do you cover AI for specific industries?
Yes. Industry-specific pieces show up regularly in the newsletter, and the full library at /ai-for-professions/ has guides for dozens of professions, from real estate to law to teaching to medicine.
How do I unsubscribe?
One click at the bottom of any issue. We do not require you to log in. We do not ask why you are leaving. We do not retry to win you back.
Primary sources we draw from
Every issue is sourced from primary publishers. The most-cited sources across the newsletter year-to-date:
- Anthropic news, Claude announcements
- OpenAI blog, ChatGPT and model releases
- Google DeepMind blog, Gemini and research
- Stanford AI Index, annual industry data
- Pew Research on AI, public opinion and policy
- McKinsey AI insights, enterprise adoption data
- Nature on machine learning, peer-reviewed research