The next phase of AI is agentic, and it starts with data architecture

If you look at the last decade of AI progress, most of it has been measured in a single dimension: bigger models and better benchmarks.

That approach worked for a while, but we’re now running into the limits of what “bigger” can buy.

The next breakthrough isn’t about cranking parameters into the billions. It’s about the architecture underneath, the part most people don’t see but absolutely feel when it isn’t working.

That’s where agentic AI comes in. Not agents as a buzzword, but as a practical shift in how intelligence is distributed.

Instead of one model waiting for ...