The agentic AI distraction | InfoWorld

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Cloud providers are chasing agentic AI while core infrastructure remains unfinished. As outages, complexity, and platform inconsistency become harder to ignore, is this what customers really want?

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I’ve been watching the cloud market long enough to know when a useful innovation becomes a strategic distraction. That’s what is happening now with agentic AI . The concept itself is not the issue. There is real value in autonomous and semi-autonomous systems that can coordinate tasks, assist developers, optimize workflows, and eventually reduce the amount of manual effort required to run complex businesses. However, just because a technology has promise does not mean it deserves to dominate the road map.

Right now, many cloud providers are acting as if agentic AI is the next unavoidable layer of enterprise computing, and therefore the best use of executive attention, engineering investment, and marketing energy. I think that is a mistake. In fact, I think it is the wrong priority at the wrong time.

The cloud providers are not operating from a position of solid fundamentals. They are still struggling with platform fragmentation, operational complexity, uneven service integration, confusing product overlaps, and, most importantly, resilience issues that have become far too visible. You can’t keep telling the market that fleets of intelligent agents are the future while the underlying infrastructure continues to wobble in ways that damage trust.

That is the part the market hype tends to ignore. Customers don’t buy cloud narratives. They buy cloud execution. They buy uptime, performance, support, predictability, governance, and a platform that does not require heroic effort just to hold it all together. If those basics are under pressure, putting agentic AI at the center of the road map is not visionary. It is evasive.

What customers actually notice

Cloud providers seem to believe that customers are waiting breathlessly for mature multi-agent deployment frameworks. Some might be. Most are not. Most customers, especially large enterprises, are still trying to get better control over costs, simplify operations, improve observability , modernize architectures, and reduce the blast radius when things go wrong.