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Morgan Stanley raises AI data center spending expectations for major cloud platforms

Analysts are raising long-range capex estimates as AI compute demand keeps increasing across cloud and platform companies.

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Why it matters for builders
• AI product economics depend on provider capacity, hardware supply, and inference demand.
• Teams should measure token cost, latency, cache hit rate, and model fallback frequency from the beginning.
• Overbuilding agent workflows without cost observability creates hidden margin risk.

Builder take
• Put per-feature AI cost dashboards beside normal product analytics.