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AI as Infrastructure

Cory Underwood· ·5 min read · 0 reactions · 0 comments · 6 views
#artificial intelligence#infrastructure#compliance#business continuity#cybersecurity
AI as Infrastructure
⚡ TL;DR · AI summary

The article discusses the evolving perception of AI as critical infrastructure rather than just a tool, emphasizing the need for robust engineering and governance practices. As businesses increasingly build on AI systems, issues around compliance, business continuity, and security must be proactively addressed. Treating AI as infrastructure requires careful consideration of contracts, failure scenarios, and access controls to ensure reliability and safety.

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Original article
Development & Analytics · Cory Underwood
Read full at Development & Analytics →
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AI as Infrastructure Published by Cory Underwood on May 1, 2026 I recently attended the IAPP Global Privacy Summit and noticed something I have seen repeated in various podcasts. The conversation around Artificial Intelligence is changing. No longer are we asking if we should use AI, or having discussions on how to use AI, instead we’re talking about building on top of AI powered systems. In this context, AI and the related systems it runs on are infrastructure supporting other business functions. This shift in discussions is notable and means how we think about AI has to change. If AI truly is infrastructure, then I see a disconnect between how people approach using AI to support business processes, and actually treating it as infrastructure backed by sound engineering considerations.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Development & Analytics.

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