As generative AI moves from novelty to necessity, startups are rapidly exploring how to harness this technology. Venture capitalists are urging these new companies to incorporate AI, creating a surge of activity across varied AI business models. Startups differ widely: some develop foundational AI models; others build infrastructure, apply AI to specific problems, enhance business operations, or experiment with AI use.
To help make sense of this diversity, six types of AI startups have been identified based on how they create and deliver value:
1. AI Originators: Build core AI models and foundational technology, often requiring heavy capital and top-tier AI expertise.
2. AI Explorers: Push scientific boundaries with high-risk, high-reward research in emerging AI fields.
3. AI Infrastructure Builders: Provide the platforms, tools, and frameworks that enable AI development and deployment.
4. AI Enhancers: Use existing AI models to create tailored products solving specific business or vertical problems.
5. AI Optimizers: Integrate AI to improve internal processes and operations but do not sell AI products directly.
6. AI Experimenters: Trial AI tools without strategic commitment, often a starting point before deciding how to scale AI adoption.
This typology helps founders clarify their current position and future path, assists investors in evaluating startup maturity and potential, and guides corporate customers in choosing suitable AI partners. Recognizing the type of AI startup is crucial for strategic decisions in building, investing in, or buying AI solutions.
