After two years of rapid experimentation and deployment, 2026 will be the year when enterprises confront the realities of scaling AI systems. Every layer of the data stack is being stress-tested by AI workloads, and the infrastructure that powered the past decade of digital business wasn’t designed for the relentless, context-hungry demands of AI agents.
The next year will separate companies that treat AI as a side project from those that rebuild their data foundations to support it. Here are six infrastructure shifts that will define…

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