1. AI startups require a different investment approach due to their rapid revenue growth and unique algorithmic factors, such as data generation, competitive moat, founder achievements, and product technical depth.
2. Series A investors are applying rigorous standards to seed-stage startups, focusing not only on technology but also on the startup's ability to attract and retain customers through a strong go-to-market strategy.
3. AI startups face pressure to deliver frequent product updates and new features at an unprecedented pace to stay ahead of competitors in the rapidly evolving industry, which is still in its early stages, with no clear winners yet.