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Enterprise AI

104 summarised stories about Enterprise AI, each linking back to the original source. Browse all topics →

Monday, 13 July 2026

Microsoft CEO Satya Nadella says you’re paying for AI twice — the second price is worse

The New Stack 2 days ago

Microsoft CEO Satya Nadella argued that enterprises using AI systems incur a hidden cost beyond direct payments: they must expose proprietary knowledge and processes to make models effective, which competitors could access. Nadella noted that organizations generate thousands of interactions with AI systems that create institutional knowledge worth potentially more than the original training data. Nadella recommended enterprises maintain control over their AI infrastructure, data, and learning loops rather than depending on specific foundation model providers, positioning Azure as the neutral platform for this model-agnostic approach.

Sticker shock has execs rethinking this whole AI thing

The Register 3 days ago

Enterprise executives are experiencing unexpected cost increases from AI services that switched to usage-based token billing, with a KPMG survey finding 29 percent of senior executives struggling to understand scaling costs and nearly half reconsidering deployments. Gartner research projects that AI coding agent costs per developer will exceed average global developer salaries by 2028, and already exceed salaries in lower-cost regions like India. Companies are responding by deploying cheaper models, using open source alternatives, and adopting tools like a Netflix engineer's token-trimming utility that has saved users hundreds of thousands of dollars by removing redundant input before sending to language models.