“The Transformer paper was eight people trying to build a better translation model. We had no idea it would lead to all of this.”
“Enterprise AI is not about the biggest model. It's about the model that fits your data governance requirements and works reliably.”
“The consumer chatbot is the sideshow. The real market is enterprises deploying AI into their existing workflows.”
“We're building for a world where every company has AI embedded in their operations, not where everyone talks to a single chatbot.”
“Open models and closed models will coexist. The question is which is right for which use case.”
“Retrieval-augmented generation is the bridge between general AI capabilities and specific enterprise knowledge.”
Aidan Gomez holds a claim to fame that few AI CEOs can match: he is a co-author of the 2017 “Attention Is All You Need” paper that introduced the Transformer architecture underlying virtually every modern AI system. As CEO of Cohere, he has built a company focused on enterprise AI deployment rather than consumer-facing chatbots, representing a distinct philosophy in the AI industry.
Gomez’s perspective is shaped by his dual identity as both a foundational researcher and a pragmatic business builder. His reflections on the Transformer paper reveal an awareness of how unpredictable technological impact can be — the architecture was designed for machine translation and ended up powering general-purpose artificial intelligence.
His enterprise-focused philosophy at Cohere represents a deliberate counterpoint to the consumer chatbot narrative dominated by OpenAI. Gomez consistently argues that the real value of AI lies in embedding it into business workflows, not in standalone chat experiences. This manifests in Cohere’s focus on retrieval-augmented generation, data governance compliance, and deployment flexibility.
Gomez is also notable for his balanced view of the open-source versus proprietary debate. Rather than taking an ideological position, he frames it as a practical question about which approach serves which use case. This pragmatism reflects an enterprise orientation where customer requirements drive architectural decisions.
As one of the youngest CEOs of a major AI company (he was in his mid-twenties when Cohere launched), Gomez represents a generation of AI leaders who began building companies rather than pursuing traditional academic careers. His combination of genuine research credentials (co-authoring what may be the most influential machine learning paper ever written) and startup execution makes him a distinctive voice in AI leadership.