Enterprise AI is in 1991. Where’s its web?

06.05.2026

Author - Enrique Dans

Enterprise AI today feels strangely familiar: the infrastructure is powerful. The capabilities are real. The demonstrations are impressive. Models can write, summarize, reason, code, search, retrieve, translate, classify, plan, and increasingly act.

It is clear that the raw machinery is there, but it does not yet have the web. Enterprise AI is in 1991.

The internet worked before the web. TCP/IP moved packets. Email connected people across institutions. FTP moved files. Telnet enabled remote access. Universities, research labs, and technically sophisticated organizations could use the network. But for a normal company, the internet was still not a business environment in the modern sense. It was powerful, but not yet consumable.

Then the World Wide Web added a thin but decisive layer: URLs, HTTP, HTML, servers, and browsers, making networking legible, usable, and buildable for the rest of the world.

That is exactly the distinction enterprise AI is missing today. It needs a structured application layer that turns raw intelligence into something organizations can use repeatedly, safely, and at scale.

That layer has to provide persistent context, business semantics, process state, permission and governance models, feedback loops, interoperability and repeatability.

Many organizations are hitting a wall because they are trying to automate processes designed for humans instead of reimagining how the work should actually be done.

Someone need to define the missing layer well enough that everyone else can build on it. 

And until that appears, the industry will remain trapped in a paradox: extraordinary intelligence, delivered through extraordinary effort.

Where’s the web for enterprise AI?