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Model Deployment

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Tuesday, 29 September 2026

Making AI an asset, not an expense

MIT Technology Review 2 weeks ago 48 ● 15 sources

HPE argues that as AI workloads move from pilots to always-on production portfolios, enterprises should stop focusing only on token prices and instead plan how to run AI economically with predictable capacity. The article cites that worker access to AI rose 5% in 2025 and says the share of companies with at least 40% of AI projects in production is expected to double within six months. It recommends shifting from consumption-only purchasing to investing in dedicated capacity when steady demand reaches a utilization “crossover point,” supported by adoption and governance to keep that capacity productive.

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