Here are eight observations I've shared recently on the Cohere blog and videos that go over them. The post serves as a brief overview of key insights on generative AI and what creates sustainable competitive advantages, or "moats," in AI products[reference:47].
The Enterprise AI Landscape From early 2023 through 2024, three independent model providers ruled the generative AI market: OpenAI, Anthropic, and Cohere[reference:48]. Cohere, founded by alumni including Nick Frosst, Ivan Zhang, and Aidan Gomez (a coauthor on the seminal "Attention Is All You Need" paper), has carved out a niche in the enterprise market[reference:49]. The company has doubled revenue since January 2025 and surpassed $100M in ARR[reference:50].
The Moat Question In a rapidly evolving market, what creates a sustainable moat? The observations likely touch on several themes:
- Efficiency: The winners will be those who make advanced reasoning practical and affordable for enterprises—not just bigger models[reference:51].
- Enterprise Fit: Native support for 100+ languages and the ability to handle long documents (up to 128K tokens) are key differentiators[reference:52].
- ROI over AGI: Cohere has been chasing "ROI over AGI," focusing on delivering tangible business value rather than chasing the frontier of general intelligence[reference:53].
The Bigger Picture The generative AI market is becoming increasingly competitive, with new entrants and open-source models challenging the incumbents. The ability to build a sustainable moat will depend not just on model quality but on the entire ecosystem around it: data, distribution, and enterprise integration.