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Why ​Physical AI Needs A New Architecture To Scale

Greg Ombach, a Forbes Councils Member, argues in a Forbes Innovation piece that physical AI requires a new architecture to scale, proposing a path of defining the operating domain, proving performance under real conditions, and expanding only when more variability can be managed. The article offers no specific figures, dates, or named companies.

by read1 min views1 publishedSep 17, 2026
Why ​Physical AI Needs A New Architecture To Scale
Image: Machinebrief (auto-discovered)

By Greg Ombach, Forbes Councils MemberSource:

Forbes Innovation The path should be similar: Define the operating domain, prove performance under real conditions, and expand only when you can manage more variability.

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source & further reading
machinebrief.com — original article Rethinking The Infrastructure Behind Intelligent Workspaces Hidden Token Costs Make AI Prohibitively Expensive, But FinOps Can Trim The Bill Grassroots coalition asks politicians to choose voters over Big AI's $140M machine
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