Learning is forever
The era of the monolithic AI is ending. What's replacing it looks less like a single powerful model and more like a well-coordinated team — with all the complexity that implies.
Responsible AI governance is no longer just about avoiding fines. The organisations realising that are building something the rest can't easily copy.
Multi-agent AI is moving from demos to deployments. The surprising bottleneck isn't the AI — it's the orchestration layer holding it all together.
Enterprise AI teams are quietly stepping back from building and moving toward assembling. The shift in how AI gets deployed is more telling than the headline spending numbers.
Responsible AI frameworks are everywhere. Implementation is not. The gap between principles and practice is where the hardest decisions actually live.
Generative AI responds to prompts. Agentic AI pursues goals. That distinction is small on paper and enormous in practice — here's what it actually means
AI scales up. Governance moves centre stage. Startups prove their models. Here's what the opening signals of a new chapter suggest.
harish.balasubramanian 