Microsoft, Oracle, and ArcelorMittal Deepen Cloud and AI Ties
ArcelorMittal (MT) named Microsoft Azure its primary cloud platform on August 3, using Fabric, Purview, and Foundry to modernize IT and consolidate data. Separately, Oracle (ORCL) expanded its Google Cloud partnership to embed Gemini models in Fusion Applications and NetSuite, sending ORCL shares up over 8%. Both deals point to accelerating enterprise cloud and AI adoption outside of Big Tech itself.
Two separate deals announced this week underline how deep the cloud and AI buildout has spread beyond the hyperscalers themselves and into traditional industry. Steelmaker ArcelorMittal (MT) announced on August 3 that it has selected MSFT Azure as its primary cloud platform, expanding an existing collaboration as part of a 'cloud-first, data-centric' strategy [doc7, doc8]. The company plans to integrate Azure infrastructure services, including Microsoft Fabric, Purview, and Foundry, to modernize core IT systems, consolidate enterprise data onto a single platform, and deploy AI-driven analytics across its global steel operations.
Separately, ORCL expanded its Google Cloud partnership to bring Google's Gemini models directly into Oracle's enterprise software, including Fusion Applications, NetSuite, and Oracle AI Agent Studio. Customers will get access to Gemini 3.1 Flash Lite for high-efficiency workloads and Gemini 3.5 Flash for more complex reasoning tasks such as video and presentation generation. The move builds on an April 2026 alliance that linked Oracle's AI Database and lakehouse tools to Google's Gemini Enterprise Agent Platform, and Oracle shares rose more than 8% on the announcement.
Both deals reflect a broader pattern: enterprise customers in capital-intensive, non-tech industries like steelmaking are adopting AI infrastructure from multiple cloud vendors rather than consolidating with a single provider, while software vendors like Oracle are embedding third-party foundation models (from Google, in this case) rather than relying solely on in-house models. Neither deal implies any change in corporate ownership between the companies involved, only vendor and technology partnerships.
What to watch: whether ArcelorMittal's Azure rollout produces measurable cost or efficiency gains that other industrial companies point to as a template, and whether Oracle's multi-model AI strategy (mixing its own tools with Google's Gemini) helps it keep pace with AWS and Microsoft in the enterprise AI applications race.
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