AI is transforming into enterprise infrastructure—not as a nice-to-have, but as the backbone of operations.

The shift has been remarkably fast. Just a few years ago, companies were still testing AI in isolated pockets. Today, the picture looks completely different:

Over 70% of enterprises now have AI embedded across 2 or more business functions. That's not experimental anymore—that's operational reality.

When you push to 3+ functions, adoption sits around 50%. Companies are moving beyond one-off use cases into genuine multi-departmental workflows.

Even the ambitious target of 5+ functions across the organization? It's already hit ~20% adoption. The frontier is forming.

What this means: AI isn't staying in the data science lab or the innovation silo. It's woven into how work actually gets done—customer service, finance, supply chain, HR, product development. The organizations winning in Web3 and traditional sectors alike are the ones treating AI as infrastructure, not a feature.