Blog categorized as Deep Tech

Building a generative AI company in 2025 poses unique challenges due to high, variable costs and fast-evolving technology.

The generative AI landscape is shifting from a focus on raw performance to building trust with users.

The post emphasizes that traditional SaaS growth strategies hinder AI startups, which must adopt new go-to-market approaches.

The prevailing belief that AI startups need vast datasets is misguided. Instead, early-stage founders should focus on acquiring minimal but high-quality datasets to validate their ideas and create value.

The text emphasizes the importance of balancing vision and credibility in AI startup pitches.

The generative AI landscape has evolved dramatically since late 2022, with powerful foundation models becoming essential tools.

Early-stage founders in generative AI face crucial decisions regarding foundational models.

The author reflects on discussions with AI founders, highlighting the risk of creating impressive yet unsustainable products.