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# Scaling AI in the Enterprise: How Technical Debt Limits Returns on AI

**[Cisco](https://daily.dev/sources/cisco)** · 5 min read · 0 upvotes · 0 comments

## Summary

Technical debt accumulated from legacy systems, disconnected processes, and fragmented data infrastructure prevents AI initiatives from scaling beyond pilots in enterprise environments. AI Infrastructure Debt—an evolution of traditional technical debt—creates bottlenecks that limit ROI, increase compliance risks, and slow innovation. Successful AI adoption requires building connected, resilient, and trusted operational foundations through continuous debt management, incremental modernization, and treating enterprise architecture as a strategic asset rather than attempting to layer AI on top of fragile existing systems.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blogs.cisco.com/news/scaling-ai-in-the-enterprise-how-technical-debt-limits-returns-on-ai>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#architecture](https://daily.dev/tags/architecture), [#mlops](https://daily.dev/tags/mlops), [#technical-debt](https://daily.dev/tags/technical-debt)

[View this post on daily.dev](https://daily.dev/posts/scaling-ai-in-the-enterprise-how-technical-debt-limits-returns-on-ai-153l2c6t5)

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