GL

Garrett Lord

Things Garrett Says on Podcasts

Where to Find Them

Garrett Lord has been a guest on The Information's TITV (3 times) , Grit (2 times) , RiskReversal Pod , Bloomberg Tech , Latent Space , Lenny's Podcast: Product | Career | Growth and The Peel with Turner Novak .

Recently: “What Frontier Labs Buy: A Data Deep Dive with Handshake AI — Garrett Lord & Team” on Latent Space (November 2026); “The AI Impact Overstatement, ByteDance’s Profit Drop, Meta Muse Agent Impresses” on The Information's TITV (September 2026); “Netflix’s Warner Bros. Play to Beat YouTube, Ex-OpenAI Head of Sales on Selling AI | Jan 21, 2026” on The Information's TITV (January 2026); “Inside the expert network training every frontier AI model | Garrett Lord (Handshake CEO)” on Lenny's Podcast: Product | Career | Growth (August 2025); “The Future of AI with Bret Taylor, Winston Weinberg, Garrett Lord and Aaron Holmes | Aug 20, 2025” on The Information's TITV (August 2025); “Sleeping in Parking Lots to $250M+ Revenue: How Handshake Built Gen Z's Career Platform, Inside its Fast Growing AI Data Labeling Business, Scaling a Three-Sided Marketplace, How AI Changes Hiring” on The Peel with Turner Novak (July 2025).

What They Said

“I'm having hundreds of conversations. I'm on a plane basically nonstop most weeks, meeting with C-suite leaders, large enterprises. And outside of using co-pilots in the workplace, very, very, very few companies outside of SWE itself are actually deploying end-to-end automation with AI… I'm actually quite shocked with how few companies I can find leveraging beyond copilot and building end-to-end AI processes. And that is, I think, going to be a really big question mark in 2027.” — Garrett Lord, Latent Space

In the closing segment on the enterprise side of the AI data business, Handshake's CEO says enterprises are far behind the labs in actually deploying AI. He frames it as a big open question for next year.

Latent Space · 2026-11-09 Permalink → Listen →
Latent Space Around 2:35:17 into the episode
Sahil Bhaiwala

seem quite far from your normal business.

Speaker 3

…trust it. And if the labs core part of their business model is how do our systems actually get used in the real world, you need to have evals for everything. Everything. We get hit up by labs all the time being like, we just are thirsty for evals. We want more and more and more and more and more.

Garrett Lord

I love the quote of like a new public benchmark is like fresh snow, fresh snow to ski. You know, it's like, I think a lot of the research lately. Yeah, it's a winning brown code. Yeah, it's GNOME. Yeah, it's like, you know, it's, it's come out there and ski some powder. So, but, but I think also we didn't talk on the enterprise side of the house, like a lot of their IP is really evals. Yeah. Like really codifying how processes work internally. I mean, we didn't talk a lot about just like enterprises really seeing high ROI out of AI yet today, but like I'm having hundreds of conversations. I'm on a plane basically nonstop most weeks, meeting with like co-large leaders, large enterprises. And like outside of using like co-pilots in the workplace, like very, very, very few companies outside of SWE itself are actually deploying end-to-end automation with AI. And I think, you know, I see our mission longer term is not only, you know, helping labs continue to change the world in all these positive ways, but it's also helping enterprises like take advantage of this technology. And I'm actually quite shocked with how few companies I can find leveraging Beyond Copilot and building end-to-end AI processes. And that is, I think, going to be like a really big question mark…

Sahil Bhaiwala

Yeah. Would

Speaker 3

you guys dip into like held out evals benchmarks of your own? One of the things of hill climbing on benchmarks is you can hill climb on them and they become kind of useless. Some companies like Cognition keep them held out, right? So they'll publish a subset and keep the rest internal. Yeah, it's…

Garrett Lord

And maybe one more thing to add on feature is that all the tasks we walk through today are single point in time kind of tasks. So for. For example, if we look back on lab essays, a person doing the life sciences task, lab essays is a core atomic unit. Imagine the situation where a person is not…

Speaker names come from our own diarization. The position is estimated from where the line sits in the episode.

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