Building higher-touch AI products that are applicable across the entire customer base of an existing enterprise SaaS provider on release does feel impossible.
It's very obvious when you look at the AI companies that have 'exit-velocity' in this space that they are playing in that they are either one of the following:
1. Targeting a need within that org that's narrow enough to be MVP-able enough across a diverse customer base
2. Targeting IC work directly
As we add more complexity here, it's going to be a long, long slog to market - even with model advancements.
Would be interested if anyone else sees these dynamics playing out. It seems there’s a really powerful combination of larger players starting later and a rising tide of AI improvements that mean the smaller shops can leap frog ahead, in ways that I haven’t seen before.
Building higher-touch AI products that are applicable across the entire customer base of an existing enterprise SaaS provider on release does feel impossible.
It's very obvious when you look at the AI companies that have 'exit-velocity' in this space that they are playing in that they are either one of the following:
1. Targeting a need within that org that's narrow enough to be MVP-able enough across a diverse customer base
2. Targeting IC work directly
As we add more complexity here, it's going to be a long, long slog to market - even with model advancements.
Author here, thanks for posting!
Would be interested if anyone else sees these dynamics playing out. It seems there’s a really powerful combination of larger players starting later and a rising tide of AI improvements that mean the smaller shops can leap frog ahead, in ways that I haven’t seen before.