Most AI projects look brilliant at the demo stage. The prototype runs smoothly, stakeholders nod enthusiastically, and the use case feels almost inevitable. Then the project hits a wall — and stays there. According to Confluent’s 2026 Data Streaming Report, only 32% of organizations report having agentic AI running in production, a figure that reveals just how wide the gap between AI promise and AI production challenges really is.
Key takeaways
Only 32% of organizations have agentic AI running in production, per Confluent’s 2026 Data Streaming Report.
Two-thirds of organizations cite data infrastructure and data quality as the main barriers to successful agentic AI deployment.
71% of IT leaders identify a shortage of relevant skills as a barrier to AI adoption.
88% of IT leaders say real-time data streaming platforms help overcome data infrastructure and quality challenges.
For the first time, investment in data streaming has outpaced investment in AI/ML — 88% vs.
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