Podcast thumbnail for Product-Led AI

Product-Led AI

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by Greylock

3.8(4 reviews)
11 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇺🇸

Podcast Overview

How do you make AI useful? While a lot of money and attention have been focused on foundational models and chips – the "picks and shovels" of AI – it takes a different skill set to create AI products that change the way we work, learn, and live. We’re seeing this in AI co-pilots, AI-first networks and marketplaces, and entirely reimagined software categories where AI is solving long-standing challenges in new ways.  But how do they actually do it? Greylock partner and former product builder Seth Rosenberg talks with founders about their inspiration and process to build, test, and continually reimagine how AI and humans work together. Learn more about the series at productledaipod.com

Language

🇺🇲

Publishing Since

4/30/2024

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Recent Episodes

Episode thumbnail for Building a CRM That Takes Action

November 19, 2025

Building a CRM That Takes Action

Traditional CRMs compress customer relationships into rigid database fields, losing critical context along the way. AI needs rich, unstructured data to do meaningful work—but most companies have their customer information scattered across email, call recordings, Slack, and support tickets that never talk to each other. Lightfield co-founders Keith Peiris and Henri Liriani (who previously scaled Tome to 20 million users) believe the solution is a "database-first" AI CRM that automatically captures and indexes every customer interaction, creating a queryable lake of context. They're building for a new generation of technical founders who are approaching go-to-market like engineering a machine rather than industrializing traditional sales processes. The vision: transform the CRM from a sales tool into a company-wide "hub of customer truth" that keeps entire organizations connected to what customers actually need, democratizing access to customer insights beyond just the sales team. You can read a transcript of this interview here: https://productledaipod.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode thumbnail for Balaji Srinivasan on Crypto as an AI Accelerant

July 9, 2024

Balaji Srinivasan on Crypto as an AI Accelerant

AI is great at making things up (and very quickly, in large quantities). Crypto excels at verifying what's real. How can the two technologies complement one another? Former Coinbase CTO Balaji Srinivasan believes crypto can be an accelerant to AI development and adoption in finance, employment, government, and more by providing "proof of human" verification through open blockchain and open backends that can be indexed. Along the way, he says, this pairing of technologies can create jobs, mitigate AI's damage to the public web (in the form of excess spam and corrupted training data), and help democratize disciplines such as science and journalism. You can read a transcript of this interview here: https://productledaipod.com/podcasts/is-crypto-an-ai-accelerant/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode thumbnail for Defining Intelligence

June 18, 2024

Defining Intelligence

Getting AI to do what we want it to comes down to understanding how intelligence actually works. AI pioneer Mustafa Suleyman has been at the forefront of the technology through several major leaps forward, and believes we're getting very close to the day where AI fades into the background as it intelligently powers nearly everything we do on computers. Now the CEO of Microsoft AI, Suleyman has had a long and impactful career that includes co-founding DeepMind, serving as Google’s VP of AI Policy and Products, and co-founding Inflection. You can read a transcript of this interview on https://productledaipod.com/ You can watch the video of this interview on YouTube Learn more about your ad choices. Visit megaphone.fm/adchoices

11 total episodes available

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Frequently asked questions

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What is Product-Led AI?

How do you make AI useful? While a lot of money and attention have been focused on foundational models and chips – the "picks and shovels" of AI – it takes a different skill set to create AI products that change the way we work, learn, and live. We’re seeing this in AI co-pilots, AI-first networks and marketplaces, and entirely reimagined software categories where AI is solving long-standing challenges in new ways.  But how do they actually do it? Greylock partner and former product builder Seth Rosenberg talks with founders about their inspiration and process to build, test, and continually reimagine how AI and humans work together. Learn more about the series at productledaipod.com

How often does this podcast release new episodes?

This podcast updates weekly.

Where can I listen to this podcast?

This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

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