What is an AI startup?

At a glance

• The test: strip out the AI. If the product still works, AI is a feature; if it collapses, it is an AI startup (often called AI-native)^[2].
• They use techniques like machine learning, natural language, or computer vision to automate work, make predictions, or generate text and images^[1].
• Every one sits on one of three layers: chips, models, or apps built on top^[3].
• AI took nearly half of all venture funding in 2025 (about $202 billion), up from 34% in 2024^[4].

The three layers

Picture a building. The bottom floor is infrastructure: the specialized chips and cloud computing, run by a few giants. The middle floor is foundation models: huge general-purpose AI engines trained at enormous cost. The top floor is applications: software that packages a model for one job, like an AI assistant for accountants. Most startups live up top, closest to the customer.

The catch for app startups

If your product is just a clever prompt wrapped around someone else’s model, a rival, or the model maker, can copy it overnight^[5]. Durable companies own something hard to replicate: proprietary data, deep workflow integration, or a genuinely hard problem the raw model cannot solve.

Bottom line

An AI startup is one that would not exist without AI; to size it up, ask which floor it sits on and what a fast follower cannot copy.