Skip to main content
  1. Home
  2. Computing
  3. Smart Home
  4. News

Amazon wants to design in-house chips for Kindles, Fire TV, and Echo speakers

Apple did it first. Amazon is doing it now, starting with 40 million chips a year and a partner most people have never heard of.

Add as a preferred source on Google
Amazon Kindle Scribe dark mode featured image.
Amazon

Apple’s decision to design its own chips reshaped the consumer electronics industry. Amazon may be about to make the same call, just about two decades later.

Supply chain analyst Ming-Chi Kuo reports that Amazon is preparing to shift away from externally sourced processors for its consumer electronics lineup, marking what he describes as the company’s first major processor procurement change in 20 years. The transition is expected to begin in 2027.

So what exactly is Amazon planning?

According to Kuo’s industry checks, Amazon plans to adopt a COT (customer-owned tooling) model for its self-developed chips, the same approach it already uses for its Trainium AI chips (via @mingchikuo). 

Recommended Videos

Under this model, Amazon would design chips in-house rather than buying processors from third-party suppliers. The affected products span a wide range: Kindle, Fire TV, Echo, Alexa-enabled devices, Blink cameras, and Ring doorbells are all included in the shift. 

Kuo says Amazon has selected Alchip as the exclusive partner for back-end chip design and testing. Once the transition is complete, annual shipments of Amazon’s in-house processors are estimated at around 40 million units.

Why is Amazon making this move now?

The timing is financially driven. Kuo notes that Amazon’s free cash flow for the 12 months ended Q1 2026 fell 95% year-over-year to roughly $1.2 billion, squeezed by its aggressive AI investment cycle. Kuo’s report also found corroboration the same day it was published. 

In an interview with CNBC, Amazon’s hardware chief, Panos Panay, confirmed that the company already designs end-to-end silicon for devices such as the Echo Show 8, Echo Show 11, and Fire TV. 

Panay didn’t address the specific products, partners, or timeline in Kuo’s report, though. The company unveiled its AZ3 (powers the Echo Dot Max) and AZ3 Pro chips (found in Echo Studio and Echo Show devices) in October 2025, designed to run AI models locally rather than routing everything to the cloud. 

Amazon still uses third-party chips from companies like Qualcomm where it makes sense, but Panay was clear that critical devices are heading toward proprietary silicon. He also teased “a whole roadmap of on-the-go devices,” hinting the chip strategy extends well beyond the smart home.

Shikhar Mehrotra
For more than five years, Shikhar has consistently simplified developments in the field of consumer tech and presented them…
Google’s new Magic Pointer Play Store listing reveals a Gemini shortcut built for Googlebooks
The unannounced app turns the cursor into a contextual AI tool for search, image creation, and shopping
Plant, Text, Business Card

Google has quietly published a new Play Store listing for Magic Pointer, an unannounced app built for Googlebooks. Updated on July 10, the app turns the cursor into a Gemini shortcut that can act on whatever a user selects on screen.

Magic Pointer can send an image to Lens, generate a related image, or surface a shopping action without forcing users to open a separate chatbot. Regular Android devices currently show as incompatible, so the listing offers an early preview rather than a broad release.

Read more
You can stop using AI, but this new report says you probably can’t escape it
A UK survey found that most people feel AI exposure is unavoidable, raising harder questions about consent, privacy, and whether opting out is still realistic
AI Chatbots

More people are trying to use less AI, but avoiding it altogether may already be impossible.

A survey of 2,055 UK adults found that 42% deliberately limit how much AI they use. Another 70% said avoiding AI exposure would be difficult or impossible, even when they actively wanted less of it.

Read more
The face on an AI interviewer may matter as much as the decision it makes
Researchers found that race and gender matching changed how fairly rejected applicants viewed an automated interview, even though everyone received the same outcome
File, Computer Hardware, Electronics

An AI hiring system can treat every applicant the same and still leave some people feeling targeted. Researchers found that rejected candidates judged an automated interview differently depending on the race and gender of the avatar delivering the result.

Around 220 participants completed a simulated interview for a fictional customer support role with one of four photorealistic AI avatars. Everyone was rejected, yet perceptions of fairness shifted with the interviewer’s appearance. An algorithm audit could miss that reaction because candidates don’t experience the system as raw code. They experience a face asking questions and judging their answers.

Read more