Reaching production isn't the finish line for agentic AI - it's where the problems start
Agentic AI is forcing enterprises to confront a problem they have been working around for years: their data infrastructure was not built for systems that can act on their own.
For much of the past 18 months, the enterprise technology industry has talked about agentic AI as if production deployment were simply a matter of time. But moving agents into production is exposing a harder reality. If the data behind them is fragmented, stale or poorly governed, the consequences are no longer confined to a bad dashboard or a slow report. They can show up in live decisions, automated workflows and customer-facing systems.
That is the context for Confluent’s 2026 Data Streaming Report. Based on responses from 4,625 IT leaders across 14 countries, the report finds that just around a third (32%) of organizations are currently using agentic AI in production, up from 29% in 2025. That suggests progress,...
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