HP management says enterprises shift to hybrid AI as cloud costs rise
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- HP management flagged rising AI cloud costs as a driver of hybrid architectures that shift more inference to PCs, workstations, edge devices.
- Local inference cited as improving token economics, lowering latency, reducing security exposure for agentic workflows handling sensitive data.
- Management pointed to growing use of lower-cost open-weight models; noted an estimate that 95% of enterprise AI still uses frontier models.
- Cloud inference expected to remain for the largest, compute-intensive workloads; focus shifting to orchestration across device, edge, cloud.
- Management cited Gartner projecting 20%+ of enterprises run AI locally by 2028; McKinsey sees inference exceeding half of AI workloads by 2030.
Disclaimer:
This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. HP Inc. published the original content used to generate this news brief on September 24, 2026, and is solely responsible for the information contained therein.
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