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# AI Inference Must Become a Commodity, Not a Premium Service
- URL: https://adjacent.media/signals/ai-inference-must-become-a-commodity-not-a-premium-service/
- Published: 2026-09-21T23:18:25.000Z
- Updated: 2026-09-21T23:18:25.000Z
- Description: The economics of AI adoption hinge on moving inference—the computational work of running trained models—from expensive, centralized infrastructure to cheap, distributed systems. If inference remains costly and siloed, AI stays a luxury good for large enterprises.
- Author: Jonathan Greene
- Tags: #signal, theme-ai, inference optimization, model deployment, ai infrastructure

Source: [SiliconANGLE](https://siliconangle.com/2026/09/20/why-ai-inference-must-become-a-commodity/?ref=adjacent.media)

The economics of AI adoption hinge on moving inference—the computational work of running trained models—from expensive, centralized infrastructure to cheap, distributed systems. If inference remains costly and siloed, AI stays a luxury good for large enterprises. Commoditization forces broader adoption and enables use cases where real-time, on-device, or edge inference becomes economically viable. Whoever owns the infrastructure layer that achieves commodity-grade inference efficiency—through specialized chips, optimized software, or novel architectures—captures enormous leverage over which AI applications reach market.