AI Listening Dashboard
A curated feed for AI strategy, enterprise adoption, governance, and technical fluency.
This week's queue
Three shows that consistently earn a spot in a Data/AI leader's week, and why.
Nathaniel Whittemore (NLW)
Why it matters
The fastest signal-to-noise ratio for staying current on AI news between board meetings — built for a five-minute commute, not a research sprint.
Swyx & Alessio
Why it matters
The technical fluency check: enough implementation depth to ask engineering teams sharper questions without needing to write the code yourself.
Tristan Harris & Aza Raskin
Why it matters
The governance counterweight to product-and-ROI coverage — useful for board-level conversations about responsible deployment, not just capability.
Start with
The AI Dilemma
Full lineup
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Listening time
Topic
Daily (weekdays)
Nathaniel Whittemore (NLW)
A daily rundown of AI news, product launches, and industry moves, with regular deep-dive episodes on business strategy, alignment, and societal impact. The fastest way to stay current without reading ten newsletters.
Weekly
Jason Calacanis
A CEO-level roundtable on the week's biggest AI news and trends, in the style of Calacanis's All-In podcast but AI-focused. Jason plus rotating executive guests connect the dots across a fast-moving week.
Biweekly
Craig S. Smith
Interviews spanning AI research, enterprise applications, and industry strategy, putting incremental technical advances into broader context. A slight lean toward the researchers and technologists behind the headlines.
Biweekly
Dr. Nicol Turner Lee & Darrell West (Brookings Institution)
Policy-focused conversations on technology and governance from a leading public policy think tank, with regular coverage of AI regulation, algorithmic bias, and public-sector adoption. Shorter, policy-brief format.
Weekly
Swyx & Alessio
The AI Engineer podcast: technical interviews with the researchers and builders shipping frontier models and tooling, with guests from labs like OpenAI, Anthropic, and Meta. Dense, practitioner-grade, and unafraid of implementation detail.
Weekly
Daniel Faggella (Emerj)
Emerj's long-running show (since 2013, 1,200+ episodes) interviews AI executives from Fortune 2000 firms and startups on where AI investment actually pays off. Consistently focused on ROI and what separates a funded pilot from a shelved one.
Multiple times per week
Nathan Labenz & Erik Torenberg
Long-form conversations with researchers and founders on frontier AI capability, safety, and policy. Goes deeper and more technical than most business-facing shows without losing the strategic thread.
Weekly
Daniel Whitenack & Chris Benson
A practitioner's show on making AI work in production: MLOps, tooling, and the unglamorous engineering that determines whether a model actually ships.
Start here
Welcome to Practical AI
A short intro episode that orients you to the show's format before you dive into a topic episode.
Biweekly
Tristan Harris & Aza Raskin
From the Center for Humane Technology: a close look at the societal and psychological effects of AI and social technology, and what responsible design and policy should look like.
Start here
The AI Dilemma
CHT's widely-cited 2023 episode warning about generative AI risks — the clearest single primer on why governance matters.
Weekly (concluded Aug 2026)
Kevin Roose & Casey Newton
The New York Times' weekly tech show, with heavy and consistent AI coverage alongside broader industry and culture stories. Journalistic, skeptical, and easy to recommend to a non-technical audience. Note: Roose and Newton wrapped this show in August 2026 to launch an independent successor with NPR — check the feed before recommending it as an ongoing subscription.