In 2026, AI Infrastructure Will Face a Reckoning
SMRTR summary
After two years of AI experimentation, 2026 will force companies to confront major infrastructure challenges as AI agents strain legacy databases and create exponential data demands. Organizations must adopt Model Context Protocol standards, rebuild data governance systems, avoid vendor lock-in through independent data architectures, and implement durable execution engines to handle complex AI workloads reliably.
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