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, add analysis, unique wording. Title: "AI Fuels Rising Costs, Fed Warns Pressure Won't Ease Soon". Summary given. Structure: Introduction, Key Developments, Industry Analysis, Future Outlook, Conclusion. Output only the SEO-optimized content. So we need to produce article with those sections, likely headings. Must be 300-500 words. Let's aim ~380 words. Ensure SEO: include keywords like "artificial intelligence", "inflation", "Federal Reserve", "price pressure", "costs", "AI-driven inflation", etc. Use natural language. Avoid AI style: meaning not overly robotic, but human. Provide analysis. Let's craft.

We need to ensure not to mention we are AI. Just produce article.

Let's write ~380 words.

Check word count: We'll count roughly.

Draft:

Title line maybe as heading? Usually article starts with title. We'll include title as first line.

Then sections with headings.

Let's write.

Word count estimation: We'll write and then count.

Article:

"AI Fuels Rising Costs, Fed Warns Pressure Won't Ease Soon"

Introduction paragraph (~70 words).

Key Developments (~80 words).

Industry Analysis (~90 words).

Future Outlook (~80 words).

Conclusion (~60 words).

Total ~380.

Let's write.

Now count manually.

I'll write then count.

Text:

AI Fuels Rising Costs, Fed Warns Pressure Won't Ease Soon

Introduction
The Federal Reserve’s June meeting minutes revealed an unexpected contributor to persistent inflation: artificial intelligence. Policymakers noted that AI‑driven automation and data‑intensive services are beginning to lift prices across several sectors, adding a new layer of complexity to the central bank’s fight against rising costs. While traditional factors such as supply chain bottlenecks and labor shortages remain in play, the Fed warned that AI‑related price pressure is unlikely to subside in the near term.

Key Developments
In the minutes, Fed officials highlighted specific examples where AI applications have translated into higher expenses. Cloud‑computing providers reported increased demand for GPU‑powered instances, pushing up service fees. Software firms that embed generative models into their products have raised licensing rates to cover the cost of training large language models. Additionally, manufacturers adopting AI‑optimized supply‑chain tools have seen short‑term spikes in component prices as suppliers scramble to meet the surge in specialized hardware orders. These observations led the committee to label AI as a “contributing factor” to the current inflationary environment.

Industry Analysis
Economists point out that the inflationary impact of AI is twofold. First, the capital intensity of building and maintaining AI infrastructure—data centers, semiconductors, and energy‑intensive computing—creates upward pressure on input costs. Second, the productivity gains promised by AI often materialize with a lag, meaning firms initially pass on higher technology expenses to consumers before realizing efficiency savings. Sector‑specific studies show that technology and telecommunications have experienced the steepest price increases, while traditional manufacturing feels a more modest effect. Analysts caution that if AI adoption accelerates without corresponding productivity improvements, the inflationary bias could persist