Summary：We need to write a professional original news article, 300-500 words, SEO optimized, human-like, no

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We need to write a professional original news article, 300-500 words, SEO optimized, human-like, no AI style, clear structure, with analysis. Title: "Enterprises Fear AI Lag, Rethink Where Applications Run". Summary: "Growing demand for compute capacity, power, cooling and low-latency connectivity is prompting organizations to reassess where AI applications run, according to CoreSite. Public cloud continues to support experimentation and rapid deployment, while colocation …". Structure: Introduction, Key Developments, Industry Analysis, Future Outlook, Conclusion. Output only the SEO-optimized content.

We need to embed keywords for SEO: maybe "AI workloads", "enterprise AI", "colocation data centers", "public cloud", "low-latency connectivity", "compute capacity", "power and cooling", "CoreSite". Use them naturally.

Word count 300-500. Let's aim ~380 words.

We need to avoid AI style: no overly formal robotic tone, but still professional. Use varied sentences, some contractions maybe.

Let's craft.

We need to include title and summary? The instruction says Title: ... Summary: ... but then says "Return only the SEO-optimized content." Likely they want the article with title and summary included? Usually they'd want the article with those headings. We'll output title line, summary line, then sections.

Make sure not to mention we are AI.

Let's write.

Word count: Let's draft ~380.

Draft:

Title: Enterprises Fear AI Lag, Rethink Where Applications Run

Summary: Growing demand for compute capacity, power, cooling and low-latency connectivity is prompting organizations to reassess where AI applications run, according to CoreSite. Public cloud continues to support experimentation and rapid deployment, while colocation …

Now body.

Introduction (~70 words): talk about AI adoption surge, infrastructure strain, enterprises evaluating location.

Key Developments (~80 words): mention CoreSite survey, stats: X% of enterprises considering moving AI workloads to edge or colocation, need for power, cooling, latency, hybrid models.

Industry Analysis (~80 words): discuss trade-offs: public cloud scalability vs control, cost, data sovereignty, latency-sensitive apps, rise of AI-optimized colocation, specialized hardware, green data centers.

Future Outlook (~80 words): predict growth of hybrid AI infrastructure, increased investment in liquid cooling, AI-ready edge nodes, regulatory pressure, vendors offering AI-as-a-service in colocation.

Conclusion (~50 words): summarize that enterprises must balance speed and performance, location decision critical for AI ROI.

Let's write.

Now count words roughly.

I'll write and then count.

Text:

Enterprises Fear AI Lag, Rethink Where Applications Run

Summary: Growing demand for compute capacity, power, cooling and low-latency connectivity is prompting organizations to reassess where AI applications run, according to CoreSite. Public cloud continues to support experimentation and rapid deployment, while colocation …

Introduction
Artificial intelligence is moving from pilot projects to core business functions, and the resulting surge in compute demand is exposing gaps in existing infrastructure. Enterprises are finding that the public cloud, while ideal for quick prototyping, can become a bottleneck when models need massive parallel processing, constant power draw, and ultra‑low latency. As a result, many are