Data Moats in AI: Why Most AI Data Is Not a Competitive Advantage Most AI companies believe they have a data advantage. Most of them don’t. They assume that more data leads to better models, and better models lead to competitive advantage.That assumption is wrong. Not all data creates advantage. And in many cases, the… Continue reading Data Moats in AI
Category: AI × IP Strategy
The AI Defensibility Framework
The AI Defensibility Framework: How AI Startups Build Sustainable Competitive Advantage Artificial intelligence is becoming easier to build. Defensible AI is not. That is the shift most founders have not fully internalized. For a while, the logic of AI competition looked simple. Build a better model. Train on more data. Move faster than everyone else.That… Continue reading The AI Defensibility Framework
The AI Ownership Gap
The AI Ownership Gap Why many artificial intelligence companies cannot prove they legally own their most valuable assets Artificial intelligence companies love to talk about their models. They talk about training pipelines.They talk about benchmark scores.They talk about the size of their datasets. But when investor due diligence begins, the conversation often changes. A much… Continue reading The AI Ownership Gap
Why Most AI Startups Are Not Defensible
Why Most AI Startups Are Not Defensible AI Defensibility Series : Article 2 Why Most AI Startups Are Not Defensible Most AI startups believe their competitive advantage lies in the model they have built. But as foundation models become widely available and AI infrastructure improves, the algorithm itself is becoming less of a differentiator. Many… Continue reading Why Most AI Startups Are Not Defensible