Here's an odd question: would AI chip companies actually want their core product to become dirt cheap?
Conventional logic says no. Cheaper product, shrinking market, thinner margins.
But one prominent voice in the AI semiconductor world is arguing the exact opposite.
Think about electricity. When it was scarce and expensive, nobody imagined running entire economies on it. Once it became cheap and ubiquitous, whole new industries were born around it.
The same story played out with broadband, cloud computing, even storage.
Every technology that reshaped the world did so by becoming accessible, not by staying scarce and exclusive.
The argument here is simple: the same logic must apply to AI inference, that critical moment when a model actually runs and gives you an answer.
If inference stays expensive, AI remains a luxury only big players can afford. If it becomes as cheap as electricity, small developers and startups start building things that were previously impossible.
Short-term margin pain might just be the smartest long-term bet in tech.
Sometimes the fastest way to grow a market is to make your product boringly cheap for everyone.
🔗 Original Source & Reference: https://siliconangle.com/2026/09/20/why-ai-inference-must-become-a-commodity/
Published automatically via FeedMind AI Content Pipeline.
Top comments (0)