Amazon may sell its AI chips to third parties as the business heads toward $20 billion

Amazon is considering selling its own AI chips to other companies — not just using them within its own cloud infrastructure. Amazon CEO Andy Jassy said the company's internal semiconductor division is already moving toward annual revenue exceeding $20 billion.

Amazon's New Direction

Amazon has long bet on proprietary technologies within AWS to better control the cost and performance of cloud services. Now the company appears to be considering the next phase: turning internal developments into a separate commercial product for the external market. This matters because it's not a startup pilot experiment, but a potential move by one of the largest players in the cloud industry, which already has scale, infrastructure, and demand from corporate clients.

Jassy's statement also shows that Amazon's internal silicon development business has stopped being a supporting function. If the division is indeed moving toward revenue exceeding $20 billion annually, it means the company is already considering chips as a notable source of income, not just as a way to reduce dependence on third-party suppliers. For the market, this is a signal: Amazon is confident that its solutions could be interesting not only within the AWS ecosystem.

What's Changing in the Market

The AI infrastructure market is rapidly shifting from an abstract race of models to a battle for physical resources: computing, memory, energy consumption, and availability of accelerators. Against this backdrop, proprietary chips become not just a technical optimization, but a strategic asset. If Amazon opens them to other companies, it will be able to compete not only as a cloud provider, but also as a supplier of critical hardware for training and running modern models.

For Amazon itself, it's also a way to capitalize on years of investment in its own hardware platform. While most companies discuss AI through models and applications, major providers are increasingly fighting for the bottom layer of the stack — the computational foundation. Whoever controls the chip controls the service economics: inference cost, scaling flexibility, supply predictability, and the ability to launch new offerings for corporate clients worldwide faster.

• For clients, this is potentially more choice in AI infrastructure.
• For Amazon — a new source of revenue beyond traditional cloud services.
• For competitors — pricing pressure and the need to develop their own chips faster.
• For the market — another sign that chip control is becoming the central part of AI strategy.

Why This Number Matters

The estimate of more than $20 billion is especially important because it changes how the scale is perceived. Usually, internal hardware initiatives of large tech companies look like investments in the future for a long time: expensive, complex, and not always clear from the outside. But such a volume of annual revenue means the division is already close to the level of a large independent business.

For investors and corporate buyers, this reduces the sense of experimentation and increases confidence in the long-term nature of the strategy. At the same time, Jassy's words suggest something else: Amazon is only considering selling chips to other companies, not announcing a full launch. This is an important distinction.

The decision could still depend on demand, production constraints, supply economics, and how ready the company is to separate its own hardware advantages from the AWS cloud offering. But the mere fact of public discussion shows that such a scenario is already perceived as realistic within Amazon.

What This Means

Amazon is gradually turning its own AI chips from an internal tool into a possible market product. If the company truly opens up sales externally, the fight for AI infrastructure will become even fiercer: not only models and clouds will compete, but the computational platforms themselves. This is no longer a matter of prestige, but of margin control.