The Aboard Podcast

Can AI help heal our broken healthcare system? On this week’s podcast, Paul and Rich are joined in the studio by Erynn Petersen, a longtime technologist and the current CEO of Emme, a healthtech startup that works to lower medical costs for both providers and patients. First, she lays out some of the systemic problems that saddle Americans with huge bills (or lead them to avoid seeking care entirely). Then, she discusses how AI tools might revolutionize the industry—as well as the ways the technology could make an unequal system even worse.

People are constantly talking about how AI is transforming engineers’ work, but where does that leave the product manager? On this week’s podcast, Paul (who has hired many PMs) and Rich (who is also a PM himself) tilt the AI-and-code lens away from the engineers and onto the role they describe as the diplomat of software creation, liaising between business, design, and engineering needs. Should PMs feel threatened by LLMs, or empowered by them? How can they use these tools to add value to the org and their role within it?

Public opinion on LLMs like Claude varies widely—but how do the people who actually work at Anthropic think about it? On this week’s podcast, Paul and Rich are joined in the studio by New Yorker staff writer Gideon Lewis-Kraus to discuss his recent feature, which he reported from within Anthropic HQ. They discuss the piece, and then they hash out the real questions: What’s the correct literary metaphor for an LLM? Does an AI company really need psychologists for its chatbots? And, perhaps most importantly, should you be polite to Claude?

Anthropic founder Dario Amodei wants AI to be regulated. Will anyone listen? On this week’s podcast, Paul and Rich dive into Amodei’s recent (lengthy) essay, “The Adolescence of Technology,” which argues for social responsibility both from within and around the AI industry. Amodei might have the best intentions, but with less mindful competitors in the space, are his ideas nothing more than wishful thinking?

Is Moltbook—aka “Reddit for Robots”—merely a novelty, or does it contain bigger ideas about the future of tech? On this week’s podcast, Paul and Rich start by discussing the autonomous agents of OpenClaw before they move on to Moltbook, the social network where said agents can hang out. (No humans allowed!) How do these LLM developments fit into the broader history of the web, and what do they suggest about where AI might be headed?   

AI is poised to transform the healthcare sector—but what does that mean in practice? Fresh off hosting a healthtech event in Aboard’s Manhattan offices, Paul and Rich talk through the ways AI is reshaping this massive segment of the American economy. AI might lead to breakthroughs for researchers and diagnosticians alike, but is its real superpower…cutting down on paperwork? Plus: What happens when every patient arrives at their appointment armed with a diagnosis from Dr. ChatGPT?

“I built it in six hours. Let’s deploy it to production!” On this week’s podcast, Paul and Rich engage in one of their favorite pastimes: Corporate roleplay. Taking on the personas of Doug, a vibe-coding engineer, and (Mr.) Jeremy, his skeptical boss, they act out a scenario that’s surely unfolding at organizations large and small right now. Doug might be too hasty when he declares his vibe-coded software ready for client use, but is Jeremy actually being too cautious?

Claude Code has emerged as a true development tool—but will non-tech people actually use it? This week on the podcast about “software in the age of AI,” Paul and Rich discuss, well, software in the age of AI: Specifically, what the rise of Claude Code means for the world of software on a whole. Are we really at a point where a layperson could create the software they need via a prompt? And if we are, what are the barriers stopping people from doing so today?

How is one of the internet’s biggest spaces for human creativity adapting in the AI era? On this week’s podcast, Paul and Rich are joined in the studio by Rafe Colburn, the Chief Product and Technology Officer at Etsy. After discussing Rafe’s long history at the company, they tackle the AI topic two ways: First, how the Etsy engineering org is using AI tools, and second, Etsy’s recent deal with OpenAI to display their products directly in ChatGPT searches. Plus: Rafe and Paul teach Rich the proper term for those little charms you stick in the holes of your Crocs. 

What will the AI story be in 2026: Society-wide transformation or incremental change? On the first podcast of the new year, Paul and Rich (gently) argue over what they expect to see in the AI space over the coming months. These tools might allow people to build software far faster than before, but how much will that disrupt the industry itself? Plus—perfect for a podcast full of tech predictions—they discuss why humans are terrible at predicting the future of tech. 

AI is transforming what we buy—and how we buy it. On the final podcast of the year, Paul and Rich are joined by Dan Frommer, founder of The New Consumer, to talk through his brand-new Consumer Trends Report for 2026. First, they discuss shifting consumer dynamics over the past few decades, from the rise of digital-native direct-to-consumer brands to the omnipresence of the TikTok Shop. Then, they dig into New Consumer survey results around our current moment in AI, particularly the generational differences towards the technology. 

Is there space for everyone in LLM world? On this week’s podcast, Paul and Rich traverse the always-changing AI landscape from one end of the spectrum to the other. First, the Christian LLM company Gloo, currently headed by former Intel CEO Patrick Gelsinger, which is building technologies for the “faith ecosystem.” Then, Sam Altman’s recent announcement that OpenAI will begin producing erotic content for verified users. In one version of our AI future, there’s room for lots of smaller companies with different values and frameworks—but when this technology has been so quickly dominated by just a few giant players, is that future impossible?

AI is reshaping the media, the internet, and the culture at large—and Max Read is writing about it. On this week’s podcast, the longtime journalist and author of the popular “Read Max” newsletter comes into the studio to talk about the intersections of tech and culture in our current AI moment. Topics discussed include Max’s journey from a general-interest journalist to covering tech platforms and internet culture, the ways he uses AI tools in his own work, and whether he thinks the slop flooding our feeds is actually popular with users.

The AI industry teeters on the edge of the bubble, but AI tools are better than ever. What does this mean for the future of the technology? On this week’s podcast, Paul and Rich talk through Paul’s recent experiments with—you guessed it!—synths to illustrate just how good AI-assisted coding tools have gotten, especially for those with programming expertise. But we’re a long way from the average consumer being able to get what they want with the push of a button. What do these two divergent paths suggest about the trajectory of the AI industry? 

As people feed their whole lives into LLMs, how can they protect themselves? On this week’s Aboard Podcast, Paul and Rich are joined by Arushi Saxena, a trust and safety expert who’s worked everywhere from big tech to startups to the U.S. government. What does trust and safety mean in the AI age, both for individuals and for companies working with LLMs? Arushi also gives an overview of the trust and safety world, but sorry, folks: What happens at TrustCon stays at TrustCon.

Big tech doesn’t care about medium-sized businesses—but is AI really the solution? On this week’s podcast, Paul is fresh off the plane from Phoenix, Arizona, where he was speaking to business owners at the Inc. 5000 Conference. As he gives Rich a full report, they discuss the specific needs of the “SMB”—small-to-medium-sized business—and how little interest the software industry has in the very large middle of the business spectrum. Can AI help these orgs get the software they actually need?

AI is making job hunting near-impossible on both sides of the hiring equation. Is there a way out of this automated mess? On this week’s podcast, Paul and Rich look at AI’s effect on an already unpredictable job market. Hirers are getting spammed with AI-generated applications, while sincere job seekers are getting swiftly rejected via AI hiring tools. As AI ushers in a hyper-transactional era of diminished trust between strangers, how can applicants and hiring managers actually connect with each other? 

Traffic to vibe-coding tools is plummeting. Financial analysts are invoking 1929. Is the big AI crash inevitable? On the latest Aboard Podcast, Paul and Rich assess our current moment in AI and its (over)valuation in the global economy. Will the bubble pop—and if it does, how big will that pop be? And as they evaluate the problems with our lopsided AI landscape, they speculate about what AI as a technology—rather than an investment vehicle—could look like in the future.  

AI videos from tools like OpenAI’s Sora and Meta’s Vibes are flooding our feeds. Is this the future? On the Aboard Podcast, Paul and Rich tackle a trio of AI topics. First: They look at a report from the Yale Budget Lab on which industries are adopting AI the fastest. (Spoiler: Only one is fully embracing it. Take a guess!) Then, they talk about spammy AI-generated bug reports submitted to the developer of cURL—and what happened when someone found real bugs with AI. And finally: Welcome to Slopworld! You can generate whatever video you want with a single sentence. Isn’t that kind of…boring?

All over the New York City subway, ads for the AI wearable “Friend” are being defaced. It seems clear that New Yorkers don’t want what Silicon Valley is selling—but will the general consumer bite? On this week’s Aboard Podcast, Paul and Rich assess the tensions between big tech and the public, in New York and beyond. After decades of having our data be packaged and sold, will anyone want to wear a necklace that listens to them 24/7? Plus: Paul describes what his skincare routine would be like if he were a billionaire.