# AI Post
> AI news, decoded — daily artificial intelligence news on models, research, and business, in plain language.
Public Ghost content for AI and LLM tooling. This file includes a bounded export of public pages first, then recent public posts.
Append `.md` to any post or page URL to get the content in Markdown (for example, `/example-post.md`).
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URL: https://www.aipost.ai/about/
Last updated: 2026-07-06T12:18:45.000Z
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## Posts
### Anthropic, OpenAI and Amazon are all racing to build their own AI chips
URL: https://www.aipost.ai/anthropic-openai-and-amazon-are-all-racing-to-build-their-own-ai-chips/
Last updated: 2026-07-06T19:05:02.000Z
The scramble to design custom silicon is really one bet: loosen Nvidia's grip on the cost of running AI.

This week made something clear. The biggest names in AI no longer just want to buy their chips — they want to build them.

On July 2, TechCrunch reported that Anthropic is in early talks with Samsung to develop a custom AI chip of its own. It doesn't stand alone. The move follows OpenAI's reported effort to build a custom inference processor with Broadcom, and lands the same week Amazon confirmed it is designing its own AZ3 and AZ3 Pro chips for Echo and Fire TV devices — silicon Amazon says improves wake-word detection by more than 50%, with plans to expand into Kindle and Ring hardware from 2027.

Three different companies, three different strategies, one direction: away from off-the-shelf hardware and toward chips designed in-house.

## Why everyone suddenly wants their own silicon

Almost every serious AI system today runs on Nvidia's GPUs. That has made Nvidia one of the most valuable companies on earth — and made its chips scarce, expensive, and rationed. For a company whose entire business is training and serving AI models, that is a dependency on a single supplier for its single largest cost.

Designing your own chip is a way to take that back. Custom silicon can be tuned for the exact way a company's models run, which can mean lower cost per query, more predictable supply, and less exposure to Nvidia's pricing and waitlists.

## The real shift

For the last few years the AI race was about one question: who has the best model. The next race is quieter and more industrial — who can run their models most cheaply, reliably, and at scale. When Anthropic, OpenAI and Amazon all move the same way in the same week, it stops looking like a coincidence and starts looking like the industry's next battleground.