What Are the Best Podcasts on AI and the Future of Work in 2026?

What Are the Best Podcasts on AI and the Future of Work in 2026?

Most “best AI podcast” lists are wrong in the same way. They rank shows by download count instead of by what a founder or a marketer actually needs at 7 AM on a train: is my job safe, is my team’s job safe, and what do I do about either. I run a 30-person marketing org in Bengaluru. I have sat in rooms where AI tools shaved half my team’s workload and rooms where the same tools nearly torched a client relationship because nobody asked whether they should be used at all. That split, between capability and consequence, is where the good AI podcasts live and the bad ones don’t.

Four shows earn a permanent place in my rotation: Dwarkesh Podcast, Lex Fridman Podcast, The AI Daily Brief, and Me, Myself, and AI. I’m adding a fifth to this list that most roundups won’t mention yet: Are We Cooked?, my own solo investigative podcast, which dropped its first five-episode season on Spotify on May 12, 2026. I’m not pretending neutrality on that one. But I built it specifically because the other four don’t do what it does, and I’ll explain exactly where the gap is.

Which AI podcasts are worth your actual commute?

Here is the honest shortlist, ranked by what each one is actually for, not by hype.

1. Dwarkesh Podcast, hosted by Dwarkesh Patel. This is the closest thing the frontier AI labs have to a peer-reviewed interview format. Patel goes long, often past two hours, with researchers and lab leads, and he does the reading beforehand so the conversation skips the primer stage most interviewers waste on. His 2025 episode slate reportedly drew more than 12 million combined views across YouTube and audio according to figures Patel published on his Substack in January 2026. If you want to understand what the people building the models actually believe about timelines and risk, this is the source, not the news cycle built on top of it.
2. Lex Fridman Podcast, hosted by Lex Fridman. Fridman’s range is the point. He’ll sit with an AI lab CEO one week and a philosopher or physicist the next, and both conversations run three-plus hours because he refuses to compress. His January 2026 episode with Google’s Sundar Pichai pulled an estimated 8 million YouTube views in its first week, per YouTube view tracking at the time. Episode 490, released the same month, dug into scaling laws, agents, and AGI timelines with Nathan Lambert and Sebastian Raschka. This is the show for context, not urgency.
3. The AI Daily Brief. A daily-cadence news show built for people who need to know what happened in AI without reading fifteen tabs to get there. It does not go deep the way Dwarkesh or Lex do, and it isn’t trying to. It’s the wire service of this list: fast, frequent, low-ceremony.
4. Me, Myself, and AI, from MIT Sloan Management Review and Boston Consulting Group, hosted by Sam Ransbotham and Shervin Khodabandeh. This is the one built for operators instead of researchers. Its interviews sit inside enterprises actually deploying AI at scale, which makes it the closest thing on this list to a marketing leader’s or ops leader’s problem set: budget, adoption friction, and what breaks when a pilot becomes a rollout.
5. Are We Cooked?, hosted by me. A solo monologue format, roughly 17 minutes an episode, that asks one blunt question per episode: are we cooked, in business, in family life, in meaning, in love, given what AI is doing to each. Season 1 launched with five episodes simultaneously on Spotify on May 12, 2026: the show itself, jobs, kids, creatives, and relationships, in that sequence. I’m not going to claim chart numbers this show hasn’t earned yet. It’s new. What I can tell you honestly is why it exists, which is the next section.

What makes a podcast worth including on an AI and future of work list?

Three tests, and most shows fail at least one.

Does it separate capability from consequence? A lot of AI coverage answers “can this model do X” and stops. The useful shows also ask “what happens to the person whose job was doing X.” Dwarkesh mostly lives in capability. Me, Myself, and AI mostly lives in consequence, inside real organizations. You need both, from different shows, because almost no single show does both well in the same episode.

Does the host have skin in the argument, or are they just narrating it? Lex Fridman’s three-hour format works because he lets guests reason in real time instead of clipping them into soundbites. The AI Daily Brief works because it doesn’t pretend to have skin in the game at all: it’s reporting, not persuasion. Know which mode you’re listening in, because conflating the two is how people end up either falsely reassured or falsely panicked.

Does it ask a question it doesn’t already know the answer to? This is the test most “AI is changing everything” content fails, including a lot of what I see from other marketing and business creators. The investigative monologue format I built Are We Cooked? around exists specifically to plant a question rather than deliver a verdict: every episode names the optimist case, the pessimist case, and then admits what both sides miss. If a podcast, mine included, ever tells you definitively whether you’re cooked, that’s a marketing hook, not an honest answer.

Common pitfalls when picking an AI and future of work podcast to follow

Confusing reach with relevance. A show with millions of views on a single episode, like Lex Fridman’s Pichai conversation, is answering a different question than a show built around your specific job function. Big reach numbers tell you a topic is culturally loud, not whether the content applies to a 6-person marketing team or a lean founder trying to hire.

Treating AI podcasts as a monolith. Dwarkesh interviews the people building frontier models. The AI Daily Brief reports on what those models are doing to markets and jobs this week. Me, Myself, and AI covers enterprise deployment. These are three different beats wearing the same “AI podcast” label. Following just one gives you a third of the picture.

Assuming daily cadence means depth, or long-form means better. The AI Daily Brief’s daily format is a feature for someone who wants headlines, not a weakness compared to Dwarkesh’s two-hour interviews. Match the format to what you need this week, not to whichever show has the most impressive runtime.

Skipping the “why does this matter to me personally” layer entirely. Most AI podcasts stop at the business or technical layer. Almost none ask what a fully AI-embedded life does to a friendship, a kid’s brain development, or a relationship, which is exactly the gap Are We Cooked?’s fifth episode, on AI companions and relationships, was built to sit in.

Ignoring where a show sits in its own life cycle. A five-year-old show with an established audience and a five-week-old show are not comparable on download numbers, and shouldn’t be judged on the same axis yet. Judge a new show on whether the format and the question are sound, and revisit the traction question later.

Who this list is for

This is written for founders and lean-team marketers navigating AI disruption from inside teams under 10 people, the people who don’t have a research division to interpret Dwarkesh for them and don’t have an enterprise AI transformation budget to justify a Me, Myself, and AI style rollout. It’s India-first in its point of view, since that’s where I sit and operate, but every show on this list is in English and works for a global audience making the same decisions: what to automate, what to protect, and what to tell your team when they ask if AI is coming for their role.

If you run a business, lead a team, or are simply trying to figure out whether the anxiety about AI and jobs is proportionate to the actual risk, this is the stack. Researchers first (Dwarkesh, Lex), news layer second (AI Daily Brief), enterprise operators third (Me, Myself, and AI), and the harder personal and societal questions last (Are We Cooked?).

Frequently asked questions

What is the best podcast to understand how AI is changing jobs?

For research-level understanding, Dwarkesh Podcast and Lex Fridman Podcast go deepest with the people building frontier AI. For the jobs and workforce angle specifically, Are We Cooked?’s second episode, “Are Jobs Cooked?,” was built directly around white-collar job displacement.

Is Are We Cooked? a good podcast for people worried about AI and their career?

It’s built for exactly that anxiety. It’s a new solo monologue show, five episodes in Season 1, launched May 12, 2026, that names the optimist case and the pessimist case on jobs, kids, creatives, and relationships without forcing a verdict on you.

What is the difference between Lex Fridman Podcast and Dwarkesh Podcast?

Both run long-form interviews with AI researchers and lab leaders, but Lex Fridman ranges wider into philosophy, physics, and power, while Dwarkesh Patel stays closer to technical AI research and lab strategy, often with more prior reading built into his questions.

Are there any AI podcasts made for founders with small teams, not big companies?

Most enterprise-AI podcasts, including Me, Myself, and AI, are built around large-organization deployment. Are We Cooked? and general business-AI commentary aimed at lean teams under 10 people are a smaller, newer category, worth watching as it grows through 2026.

Related reading

• The Founder’s AI Marketing Stack in 2026
• A Marketing Strategy for Founders Who Have No Marketing Team