Where Does Consumer AI Stand at the End of 2025?
The a16z Show
a16z
4.2 • 1.2K Ratings
🗓️ 29 December 2025
⏱️ 44 minutes
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| 0:00.0 | For most of the year, less than 10% of chatchipt users even visited another one of the big LLM providers. When you open Gemini, it has a pop-up, says, we got a nanobanana. Would you like to do something with it? A little pain where you have to type something. Yeah. I don't know what to do. Yeah. Eat our product nuances that I think makes people actually take the first thing. The models have gotten to the level of quality that you can build a real scalable app on top of them. |
| 0:26.0 | And so the hope is 2026 will be a huge year for consumer builders. |
| 0:31.1 | As 2025 comes to a close, consumer AI is starting to look very different than it did at the beginning of the year. |
| 0:37.4 | A small number of products now dominate everyday usage. |
| 0:40.8 | New multimodal models have gone viral and the big labs have pushed harder than ever into |
| 0:45.0 | consumer experiences. |
| 0:46.6 | To take stock of the year, the A16Z team, Anisha Charya, Olivia Moore, Justine Moore, and |
| 0:52.4 | Brian Kim break down what actually worked in 2025 and what |
| 0:55.9 | didn't. |
| 0:56.7 | They discuss which model launches and interfaces change user behavior, why small product |
| 1:01.3 | details matter more than raw model quality, and whether the consumer AI market is trending |
| 1:06.0 | toward win or take most. |
| 1:07.8 | The conversation also looks ahead to 2026, where there is still room for startups, |
| 1:12.4 | how templates and multimodality are reshaping creation, and why this may finally be the moment |
| 1:17.1 | when scalable consumer AI apps break out. Today we're talking about who won consumer AI in 2025. |
| 1:26.4 | This was arguably the year that we saw the big model providers, |
| 1:30.0 | OpenAI and Google, most out of everyone, make a major push of their own into consumer, |
| 1:35.2 | both in terms of new models they release, but also in terms of new products, features, and |
| 1:39.6 | interfaces that target the mainstream user. You might wonder, why does it matter who is in the lead here? |
| 1:45.0 | There are some early signs that the general LLM assistant space |
| 1:49.0 | might be trending towards winner take all or at least winner take most. |
| 1:54.0 | So only 9% of consumers are paying for more than one out of the group of Chat ChippyT, Gemini, Claude, and Cursor. And for most of the |
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