AIn’t It Interesting – From Capability to Control

Over the past 12-24 months, AI has moved from demo rooms to boardrooms. In recent conversations with enterprise leaders across industries, I am noticing subtle & important shift, the excitement about AI has matured.

On the demand side, the shift is real. The question is no longer ‘what can AI do?’. It is increasingly about ‘where does it create measurable economic value’. Focus is on:
a) ROI and payback periods over experimentation
b) Industry depth over generic copilots
c) Embedding AI inside ERP/CRM/MES/SCM workflows
d) Governance, explainability, and data boundaries
e) Cost predictability at scale, especially inference economics

In short, pilots are relatively easy, scaling is where the real scrutiny begins.

On the supply side, the ground is shifting rather at express pace. Model performance gaps are narrowing. Everyone has access to strong base models. So, differentiation is probably moving up the stack.
a) ‘Verticalization’ is accelerating.
b) Infrastructure efficiency is becoming strategic.
c) Latency and reliability matter more than demo brilliance.
d) Distribution leverage is quietly becoming a major advantage.
e) And there’s a visible race towards orchestration, not just answering questions, but executing workflows.

What strikes me most is:
a) AI conversations are becoming less about intelligence itself, and more about control of data, workflows, costs, risk, and integration.
b) It feels like the market is moving from capability to structure.
c) From experimentation to operational discipline.

AIn’t it interesting how quickly the question has changed from ‘can AI do this’ to ‘can we operationalize this without destabilizing everything else’