The next AI phase is better agents not bigger models
For organizations looking to gain an edge by adopting AI tools, the decision has been dominated between large language models.
Every new release promises better reasoning, greater accuracy and more capabilities than the last.
But as foundation models become increasingly powerful and widely available, the real differentiator for organizations won't be which model they choose - it will be how effectively they deploy agentic AI to solve real business problems.
Solution Architect at Digital Modus.
At the recent 2026 Gartner Data and Analytics Summit, the message from analysts was clear; standalone AI models are outdated and autonomous, interconnected AI agents are the future. But to get real value from agentic AI, IT leaders should prioritize “high-frequency, low-complexity use cases, apply guardrails and upskill the workforce.”
To this statement, I would add that the next phase of enterprise AI isn't about having access to the biggest model. It's about building...
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