Beyond LLMs: Why CTOs Must Prepare for the Era of Active Information Capital

Transforming Enterprise Data into Active Information Capital

Originally published in French on LinkedIn on June 29, 2026. Translated into American English, preserving the original arguments, hypotheses, examples, and conclusions.

For more than two years, Large Language Models (LLMs) have profoundly transformed the way we use information. They can read, summarize, explain, generate, and reason over vast amounts of unstructured knowledge. This revolution is still being rolled out across most organizations.

Companies are investing millions in AI. Yet their most valuable asset is often already there, lying dormant in their databases.

This emerging technology has a name: TFMs — Tabular Foundation Models.

I am deliberately publishing this article at a very early stage, not because TFMs are already widely deployed in enterprises, but because the recent history of AI suggests that organizations anticipating technologies of this kind can develop maturity ahead of their market competitors.

In a world where innovation cycles are now measured in months rather than years, the Red Queen principle becomes more relevant than ever.

The Red Queen principle: You have to keep running…