
A daily news analysis show on all things artificial intelligence. NLW looks at AI from multiple angles, from the explosion of creativity brought on by new tools like Midjourney and ChatGPT to the potential disruptions to work and industries as we know them to the great philosophical, ethical and practical questions of advanced general intelligence, alignment and x-risk.
| Publishes | Daily | Episodes | 993 | Founded | 3 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

As OpenAI and Anthropic move toward IPOs, NLW looks at the growing fight over who gets access to AI’s financial upside, from Google’s massive equity raise to Bernie Sanders’ proposal for a public stake in frontier labs. In the headlines: Nvidia’s per... more
One of the most consequential AI months of 2026, May marked a major shift from the AI subsidy era into a new period defined by token scarcity, usage-based pricing, enterprise sticker shock, and a broader scramble for compute. NLW argues that the next... more
A practical primer on /goal, the new AI primitive showing up in Codex and Claude Code. NLW explains how /goal differs from a normal prompt, why it matters for longer-running agent tasks, what makes a good goal, and how to think about using it beyond ... more
Claude Opus 4.8 arrives as a modest but meaningful upgrade, with early users pointing to better judgment, less bluffing, stronger self-checking, and a greater willingness to push back. NLW breaks down first impressions, benchmark comparisons with GPT... more
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Listening to the entire series in reverse to get a sense of the history as AI news continues to break daily. Want this foundation as I’m working on implementing AI in my daily workflow as an orthodontist. The only worker I’m looking to replace is myself getting spread thin doing menial administrative tasks.
This is the only way I’m able to keep up with the way AI is moving.
So much high quality content.
Love the information density and pacing of this pod. Essential listening.
I deeply appreciate the balance of news and information related to AI covering so many aspects in a non-technical way. I’ve learned a lot from this podcast that has helped me personally and professionally and I deeply appreciate it….. thank you Nathaniel!!!
Enjoy the podcast a ton. Found it so insightful that I opted to subscribe for an annual subscription so that
1. I directly support the podcast
2. Get ad-free episodes
The problem I’m coming across is that the “Subscriber Edition” of the episodes vary wildly in terms of their posting schedule.
Most days there are literal hours between the posting of the ad-supported episode and the appearance of the ad-free version.
I’m getting notified that there’s a new episode available, but I either hav... more
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How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Spotify | #195 | |
Spotify | #5 | |
Spotify | #75 | |
Apple Podcasts | #243 | |
Apple Podcasts | #5 | |
Spotify | #4 |
Recent interactions between the hosts and their guests.
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A daily AI news and analysis program that synthesizes rapid developments across AI tooling, enterprise adaptation, policy, and ethical considerations. Episodes frequently focus on new models and features, enterprise deployment, industry dynamics, and governance questions, with a clear emphasis on practical implications for leaders and teams in business settings. Notable strengths include crisp briefing of complex topics, structured synthesis of industry moves, and sponsor-integrated insights that illustrate real-world adoption. Listeners likely include technology leaders, product and strategy professionals, and decision-makers who want fast, business-focused context on AI progress and its implications for work, policy, and society.
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1. This Day in AI Podcast
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3. You can with AI.
4. NVIDIA AI Podcast
5. AI Hustle: Make Money with AI
this podcast launched 3 years ago and published 993 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on this podcast include:
1. Mike Cannon-Brookes
2. Alex Imas
3. Nat Eliason
4. David Haycock
5. Anton Osika
6. Sean Wang
7. Azeem Azhar
8. Asha Sharma
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