4.4 • 1.1K Ratings
🗓️ 27 May 2024
⏱️ 47 minutes
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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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