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# The impressive AI demo is dead. Here’s what actually reaches production

**[The New Stack](https://daily.dev/sources/newstack)** · 5 min read · 1 upvotes · 0 comments

## Summary

Only 32% of organizations have agentic AI running in production, according to Confluent's 2026 Data Streaming Report. The core problem isn't model quality — it's data infrastructure. AI demos work with curated, static data, but production systems must handle real-time data from dozens of sources that are often siloed, stale, or poorly governed. 72% of IT leaders cite insufficient real-time data processing infrastructure as a barrier, up from 61% the prior year. A skills gap compounds the issue: 71% cite shortage of relevant expertise. Production-ready AI requires real-time pipelines over batch processes, schema definitions and quality checks at the point of data production, and treating data as reusable products. Notably, investments in data streaming now outrank those in AI/ML (88% vs 82%), signaling that organizations are recognizing data infrastructure as the harder problem.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/ai-production-data-problem>

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---

Tags: [#data-engineering](https://daily.dev/tags/data-engineering), [#agentic-ai](https://daily.dev/tags/agentic-ai), [#confluent-cloud](https://daily.dev/tags/confluent-cloud), [#ai-infrastructure](https://daily.dev/tags/ai-infrastructure), [#data-streaming](https://daily.dev/tags/data-streaming)

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