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a16z Podcast

The GenAI 100: The Apps that Stick

a16z Podcast

a16z

Science, Innovation, Business, Entrepreneurship, Culture, Disruption, Software Eating The World, Technology

4.41.1K Ratings

🗓️ 27 May 2024

⏱️ 47 minutes

🧾️ Download transcript

Summary

Consumer AI is moving fast, so who's leading the charge? a16z Consumer Partners Olivia Moore and Bryan Kim discuss our GenAI 100 list and what it takes for an AI model to stand out and dominate the market. They discuss how these cutting-edge apps are connecting with their users and debate whether traditional strategies like paid acquisition and network effects are still effective. We're going beyond rankings to explore pivotal benchmarks like D7 retention and introduce metrics that define today's AI market. Note: This episode was recorded prior to OpenAI's Spring update. Catch our latest insights in the previous episode to stay ahead!

Transcript

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0:00.0

We have almost redefined retention for a consumer.

0:04.0

We've been seeing a lot of companies actually get up to tens of millions of dollars of annualized revenue in a very quick manner.

0:12.0

Many of these products are getting floods of users in traffic

0:16.0

like we've never seen before.

0:18.0

The willingness to try and willingness to pay

0:21.0

has been so high for these products that the velocity to get from

0:25.0

nothing to maybe tens of millions of revenue have never been higher.

0:28.8

Consumer AI has been characterized so far by categories where randomness and hallucinations are a feature.

0:36.0

Human connection is important, but maybe it's not the human part that you just need to feel connected.

0:42.0

We have done a ton of recent coverage around consumer AI because

0:46.4

quite frankly the field is moving so quickly. Every day it can feel like the

0:50.8

entire industry is shape shifting so who's really winning here?

0:55.0

Today we bring in A16Z Consumer Partners, Brian Kim, and Olivia Moore to discuss our Gen AI 100

1:00.8

list and what it really takes to stay at the top and withstand the AI tourist phenomena.

1:06.6

So what categories are capturing the attention of consumers?

1:09.7

Are broad or niche models pulling ahead?

1:12.1

Where are these apps actually getting their

1:13.2

distribution? Does paid acquisition make sense? And do network effects exist like

1:17.9

they did in prior cycles? These are all things to think about. But here's a thing.

1:22.3

We're finally at the point in the cycle or we're starting. These are all things to think about, but here's a thing.

1:23.0

We're finally at the point in the cycle where we're starting to get that data, not just

1:26.8

in rankings but other key consumer benchmarks like D7 retention.

...

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