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What goes where: How AI is forcing a new workload placement strategy

ID: 29a24bfe-57a1-5367-ac28-90a39309277e

STIX ID: report--29a24bfe-57a1-5367-ac28-90a39309277e

Feed Name: CIO Security

Date Published: 2026-06-01

Date Updated: 2026-06-01

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The report argues that effective enterprise AI governance must operate at the control plane level and that AI workloads are forcing a shift from broad "cloud-first" postures to a workload-placement discipline, where decisions about training vs inference, data movement, latency, cost, and operational constraints determine whether workloads run on hyperscalers, private cloud, or edge environments.

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