Origins - Inside Venture Capital, Hosted by a GP and an LP · OpenLP from Sapphire Partners

Becoming AI Native with Benchmark’s Sarah Tavel

·42 min·3 clips

Even successful VCs feel left behind by AI

Origins opens with Nick Churros and Beezer Clarkson introducing Sarah Tovel as a guest they have wanted on for some time and as a respected thought leader in venture, especially around generative AI. They also note that she is an excellent writer and point listeners to her Substack. The conversation starts with her investment lens and the kinds of companies she likes: businesses with the potential to escape competition, including marketplace, network-effect platforms, and vertical applications. That framing sets up the AI discussion. The hosts ask what it means to be AI native. Sarah draws a line between shallow adoption and deeper transformation. In the shallow version, a CEO uses ChatGPT for quick informational queries, engineering uses AI tools to be more productive, and the company may add vertical AI tools in isolated pockets. That can improve productivity, but it is not the same as transforming how the company operates. She treats the question as one of real transformation, not just a feature rollout. Sarah uses concrete examples to make the difference legible. She points to Toby at Shopify, Aaron Levy at Box, and the Recce team as examples of people who deeply immerse themselves in the shift. That immersion matters because it changes what happens inside the business, not just on the surface. The hosts also push on the signs that reveal whether a company is serious. One of those signs is the product roadmap: if it talks about future AI plans without a clear link to what the company is doing today, that can be a warning sign. From there, the conversation expands into the broader market context. Sarah describes a world in which model competition is intense enough that prices fall quickly and users benefit from the churn. The hosts use that idea to keep the listener grounded in the practical consequences of competition. The discussion also leaves room for the fact that AI adoption is not evenly distributed across a company. Some functions move first, others lag, and the result can look productive without actually being transformative. That tension gives the episode its shape. The hosts keep the tone conversational and a little skeptical, which helps the ideas land without turning the episode into a lecture. They let Sarah build out her arguments, then pull them back toward examples and implications. The result is a discussion that is less about hype and more about judgment. It asks what real adaptation looks like, who is doing it well, and what venture investors should notice when everyone else is still talking in broad strokes.

As heard by us

A grounded look at AI-native company building, from venture philosophy to operating reality.

The episode treats AI-native company building as a real venture question: which teams are reorganizing around AI, and which are only adding tools at the edges.

Read the full review in PlayNext →

Why you'd press play

You want the real test of whether a company is actually AI-native.

Read the full recommendation in PlayNext →

Listen to the show on

Apple Podcasts Spotify

Play clips from this episode More from Origins - Inside Venture Capital, Hosted by a GP and an LP