Synopsys, the maker of software used to design computing chips, announced on September 30 that it has struck a revenue-sharing Synopsys OpenAI deal to co-develop an artificial intelligence model built specifically for the chip business — a partnership that sent Synopsys shares up as much as 7% and signaled how quickly AI is moving from designing content to designing the silicon itself.
The model, to be called GPT-Synopsys, will be trained and tuned to take on chip design tasks that today span from describing a chip’s circuits in a code-like language all the way to determining how to lay out billions of transistors on a small square of silicon, Reuters reported. OpenAI’s model will learn how to operate Synopsys’ software tools to help engineers work through the trade-offs and optimizations of the design process.
What GPT-Synopsys will do
Chip design is among the most complex engineering disciplines on Earth: a modern processor packs tens of billions of transistors, and squeezing them onto silicon takes teams of specialists months of painstaking iteration. According to Reuters, the goal is for the AI to “be able to shave off weeks, months from the design process and to bring more chips to the world,” in the words of OpenAI co-founder Greg Brockman, who appeared in a video announcing the news.
Synopsys announced the deal at an investor summit, where CEO Sassine Ghazi also raised the company’s financial outlook. Synopsys now expects 15% revenue growth for its fiscal 2027, above the 11.19% growth analysts had estimated, according to LSEG data — and investors responded immediately, pushing shares up as much as 7% after the partnership and forecast announcement.
The economics are structured around performance. Ghazi told Reuters in an interview that OpenAI will pay Synopsys a training subscription fee for learning to use Synopsys’ tools. When Synopsys customers use the resulting product, the two companies will share revenue based on how well the model actually improves the design of a chip — aligning both parties’ incentives with real engineering gains rather than mere usage.
Guardrails against hallucinating hardware
A chip that doesn’t work is a multimillion-dollar mistake, so Synopsys is emphasizing verification. Ghazi said the GPT-Synopsys model’s work will still be double-checked by Synopsys tools that use traditional computing techniques to verify whether a chip will actually function — the industry’s standard sign-off process.
“The model needs these guardrails in order to check the physics,” Ghazi said. “The need for validating with the highest level of fidelity, what we call sign-off or ground truth, is essential.”
That framing matters for the business model too. Ghazi stressed that the partnership is designed to grow Synopsys’ business rather than cannibalize it: “We structured the agreement in a way that it will not be cannibalizing our business. It will be an upside to our business given we’re delivering more value to the customer.”
Why it matters for the chip industry
Synopsys is one of two dominant players in electronic design automation (EDA) software — the tools virtually every chipmaker on the planet relies on — so a model trained directly on its toolchain could ripple across the semiconductor industry. If AI assistants can compress design cycles by weeks or months, chipmakers from startups to giants could iterate faster at a moment when AI hardware demand is straining supply chains.
The deal also deepens the entanglement between AI labs and the chip ecosystem. OpenAI has been moving aggressively across the silicon stack — from custom-chip ambitions to partnerships with foundries — and this agreement puts its models directly inside the engineering workflow where chips are born. For Synopsys, it offers a way to monetize AI-assisted design without handing its crown-jewel tools to a competitor.
Analysts will be watching whether the revenue-sharing formula — tied to measurable design improvement — becomes a template for AI deals in other specialized engineering domains. If GPT-Synopsys demonstrably produces better chips faster, expect rivals in EDA and beyond to follow with their own model partnerships.
For more on the AI hardware race, see our report on Nvidia’s RTX Pro 5500 China approval and chip sales and AMD’s $8.2 billion acquisition of World Labs.
Sources
Reuters: Synopsys, OpenAI strike deal to develop AI model for chip design work (Stephen Nellis, Sept 30, 2026) | Channel News Asia: Synopsys, OpenAI strike deal (Reuters syndication)
FAQ
What is the Synopsys OpenAI deal?
Synopsys and OpenAI agreed on September 30, 2026, to co-develop an AI model called GPT-Synopsys, trained for chip design tasks, with the two companies sharing revenue from the product.
What is GPT-Synopsys?
GPT-Synopsys is the planned AI model that will learn to use Synopsys software tools to assist engineers with chip design — from circuit descriptions to transistor layout — with the goal of shaving weeks or months off design cycles.
How will Synopsys and OpenAI share revenue?
OpenAI will pay Synopsys a training subscription fee to learn its tools, and the companies will split revenue when customers use the product, based on how well the model improves chip designs, according to CEO Sassine Ghazi.
How did the market react to the announcement?
Synopsys shares rose as much as 7% after the partnership announcement, and the company raised its fiscal 2027 revenue growth forecast to 15%, above analyst estimates of 11.19%, according to LSEG data.
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