Amazon stock rose about 0.9% to roughly $248.50 as Amazon Web Services signed a multiyear chip-design licensing agreement with Synopsys worth more than $1 billion, strengthening AWS’s push into custom AI silicon.
The agreement gives AWS access to Synopsys chip-design intellectual property and engineering tools as Amazon develops its own Trainium AI accelerators and Graviton processors. The companies did not disclose which specific AWS chips will use the licensed designs.
The deal adds another layer to Amazon’s strategy of bringing more of the AI infrastructure stack in-house instead of relying entirely on outside chip suppliers.
AWS Pushes Deeper Into Custom Silicon
Amazon has been expanding custom silicon as AI demand drives enormous spending across cloud infrastructure.
Trainium is designed for AI training and inference, while Graviton processors target general-purpose cloud workloads. Synopsys can help AWS shorten chip-development cycles by supplying reusable IP and design technology rather than forcing Amazon to build every component from scratch.
That matters because AWS has become the main growth engine behind the broader Amazon stock rally. AWS revenue recently grew about 37% year over year to $42.2 billion, its fastest growth rate in 18 quarters.
Amazon is also planning roughly $220 billion in 2026 capital spending, much of it tied to data centers, servers and AI infrastructure.
Why the Deal Matters for Amazon Stock
For Amazon stock, the key question is whether custom chips can improve the economics of that massive AI investment.
Amazon’s custom-silicon business has already reached roughly a $25 billion annual run rate, according to management. If Trainium and Graviton can take a larger share of AWS workloads, Amazon could reduce reliance on third-party processors and keep more value inside its own cloud ecosystem.
That is one reason Wall Street has remained constructive. Goldman Sachs recently raised its AMZN price target to $375, citing stronger AWS growth and momentum in custom chips.
The broader challenge is that AI spending is already putting pressure on free cash flow. Investors therefore need evidence that higher capex translates into stronger cloud revenue and margins, a theme explored in Coinpaper’s look at Big Tech AI returns.
