# The new economics of enterprise AI

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/the-new-economics-of-enterprise-ai
> **Original Source**: [MIT Technology Review](https://www.technologyreview.com/2026/10/20/1146937/the-new-economics-of-enterprise-ai/)
> **Author**: David Sydow (undefined)
> **Published Date**: Tuesday, October 20, 2026
> **Category**: RESEARCH
> **Tags**: AI, MIT Technology Review, research

## Executive Summary
Imagine your company just discovered electricity. At first only a few machines run on it, and nobody worries about efficiency — consumption is low and the value is obvious.



## Full Coverage
As enterprise AI shifts from isolated experiments to becoming foundational infrastructure, companies need to focus on efficiency, not just consumption

Imagine your company just discovered electricity. At first only a few machines run on it, and nobody worries about efficiency — consumption is low and the value is obvious. But once electricity becomes infrastructure, every process depends on it, and the question changes from "can we use it?" to "how efficiently are we using it?"

Enterprise AI is going through the same shift. What began as isolated chatbot and copilot experiments is becoming a foundational layer of the business, with models, agents, and data increasingly interconnected in production workloads. The important question stops being what a token or GPU-hour costs. It becomes how efficiently the AI environment converts paid capacity into useful business outcomes

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