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Equity

Investing in the consumer AI products OpenAI ‘won’t want to kill’

Equity

TechCrunch

Entrepreneurship, Business News, News, Business, Technology

4.2372 Ratings

🗓️ 7 January 2026

⏱️ 31 minutes

🧾️ Download transcript

Summary

Vanessa Larco, partner at Premise and former partner at NEA, thinks 2026 will finally be the year of consumer AI.  Larco, who's been investing in consumer and prosumer for years, thinks we're about to see a shift in how consumers spend time online, with AI powering “concierge-like” services. The question is, will legacy consumer products like WebMD and TripAdvisor continue to exist as standalone apps, or will they just get absorbed into ChatGPT or Meta AI? And where can startups carve out an AI-powered niche for themselves?  Today on TechCrunch's Equity podcast, Rebecca Bellan sat down with Larco to talk about why consumer is back, what OpenAI won't kill, and where the real opportunities are hiding.  Listen to the full episode to hear about:  Why Larco thinks OpenAI won't build marketplace businesses that require managing real humans.  Larco’s take on "disposable software" and why AI apps “should be treated like Word docs.”  How Meta Ray-Ban smart glasses turned Larco into a believer in voice interfaces (and why she thinks screens are optional for most tasks).  More predictions for 2026, including another huge year for M&A.  What new business models stablecoins could unlock.   00:00 - Introduction   00:53 - Why founders are excited about consumer again   04:40 - The moat against OpenAI: Managing real humans   09:22 - Apps as disposable as Word docs   12:48 - Social media in the AI era  18:48 - Meta Ray-Bans and why wearables are actually good   23:35 - Stablecoins and consumer fintech opportunities   26:54 - M&A predictions for 2026  Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

Ready to ship AI that works, start building at MongoDB.com slash build.

0:06.0

Hello and welcome back to Equity TechCrunch's flagship podcast about the business of startups.

0:10.8

I'm Rebecca Boulon, and this is the episode where we bring on industry experts to help us explore a trend in the tech world and dive deep.

0:22.1

Today, we're going to talk about where consumer tech, specifically consumer AI, is heading

0:26.7

in 2026 from wearables to stable coins to what happens when the hype cycles actually

0:32.2

meet the real market needs.

0:34.6

To sort through it all, I'm joined by Vanessa Larko, a former partner at

0:38.8

NIA, and current co-founder and partner at her own firm venture that we can't really talk about,

0:44.9

but it's called premise. And I'll let you take it from there. If there's anything at all

0:49.7

you can say about it, Vanessa, please let us know. If not, we can move on to some of your

0:54.0

thoughts. Let's talk about what's going, please let us know. If not, we can move on to some of your thoughts.

0:54.7

Let's talk about what's going on in Consumer.

0:58.6

Happy New Year. Like, I can say nothing. Yes, happy New Year. So then tell me, what are some of

1:04.7

your top predictions for consumer in 2026? I think this is going to be your consumer. I've been meeting with

1:13.2

founders, you know, repeat founders who built enterprise companies in the last cycle, both PLG and

1:19.9

top-down sales motions, and they're excited about consumer. And specifically, you know, I was having

1:25.8

to see with a founder last week and he was saying,

1:28.8

it feels like selling AI tops down is great, but slow, really slow. Like these big enterprises,

1:36.5

they know they need it, they know they want it, they have big budgets, they'll sign you on.

1:39.1

But to see users actually using it takes forever because they don't know where to start. The fun thing about consumer and prosumer is people already have prosumer, right? Like people, individuals, they're buying it like a consumer, but they're using it for work. They're using it for personal life. They're using it for all kinds of things, right? Kind of like how we use chat GPT and cloud. We use it for work.

2:01.3

We use it for personal stuff.

2:02.3

We use it for kind of everything. Is that people already have in mind what they want to use it for. And they purchase it. And if it meets the need, they just keep using it. And they're like, it's so vast. You can get it adopted so quickly. Yeah. And you don't lie to yourself on whether you have product market fit.

...

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