# AI can't embed in everyday products — not enough chips

- **Speaker:** Greg Osuri
- **Attribution:** attributed
- **Said:** 2024-06-13
- **Theme:** GPU Economics — https://www.gregosuri.com/predictions/gpu-economics/
- **Source:** "Greg Osuri: Akash – Decentralizing Cloud Computing and Revolutionizing GPU Access (\#10)" (Fluence)
- **Watch at:** 00:42:56 — https://www.youtube.com/watch?v=RYs9UTXv43Q&t=2576s
- **Canonical:** https://www.gregosuri.com/predictions/gpu-economics/2024-06-13-ai-can-t-embed-in-everyday-products-not-enough-chi-pcqz/
- **Cite as:** Greg Osuri, "AI can't embed in everyday products — not enough chips," "Greg Osuri: Akash – Decentralizing Cloud Computing and Revolutionizing GPU Access (\#10)" (Fluence), 13 Jun 2024, 00:42:56. https://www.youtube.com/watch?v=RYs9UTXv43Q&t=2576s

## Quote — verbatim

> From a product standpoint, AI is not even close to being embedded in our everyday products because it's not fast enough, because there's not enough chips... imagine ChatGPT part of Siri... imagine the amount of compute you need when you have to power a Siri \[on\] billions of phones.

## Context — site annotation, not spoken

Explaining why doubling GPU resources for diminishing model gains plus device-level AI means demand keeps compounding.