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This AI has designed over 100 new kinds of computer chips

Designing computer chips is a hige engineering problem - that AI is now getting better at, accelerating chip design by multiples.

Key takeaways

  • People used to do all the complex silicon design work, but for the first time, AI is helping to build new chips for data centers, smartphones, and IoT devices.
  • AI firm Synopsys has announced that its DSO.ai tool has successfully aided in the design of 100 chips, and it expects that upward trend to continue.
  • SK Hynix says a recent DSO.ai project resulted in a 15% cell area reduction and a 5% die shrink.
Cite or link to this article

Griffin, M. (2025) 'This AI has designed over 100 new kinds of computer chips', 311 Institute, 16 September. Available at: https://www.311institute.com/this-ai-has-designed-over-100-new-kinds-of-computer-chips/ (Accessed: 1 October 2026).

According to ARMs CEO designing new computer chips is one of the most demanding engineering challenges of our time. But increasingly Artificial Intelligence (AI) is having a stab at it – and succeeding in creating new computer chips that are fast, but that confound the experts when it comes to udnerstanding how they work.

Lurking inside your next gadget may be a chip unlike those of the past. People used to do all the complex silicon design work, but for the first time, AI is helping to build new chips for data centers, smartphones, and IoT devices. AI firm Synopsys has announced that its DSO.ai tool has successfully aided in the design of 100 chips, and it expects that upward trend to continue.

Companies like STMicroelectronics and SK Hynix have turned to Synopsys to accelerate semiconductor designs in an increasingly competitive environment. The past few years have seen demand for new chips increase while materials and costs have rocketed upward. Therefore, companies are looking for ways to get more done with less, and that's what tools like DSO.ai are all about.

The tool can search design spaces, telling its human masters how best to arrange components to optimize power, performance, and area, or PPA as it's often called. Among those 100 AI-assisted chip designs, companies have seen up to a 25% drop in power requirements and a 3x productivity increase for engineers. SK Hynix says a recent DSO.ai project resulted in a 15% cell area reduction and a 5% die shrink.

Synopsys says DSO.ai isn't taking anyone's job - yet. But it can automate the tedious, repetitive work that eats into engineering time, allowing humans to spend time on true innovations and new projects. For example, AI chip designing could allow companies without a large engineering staff to design their own chips. DSO.ai is particularly helpful in designing layouts for multi-die silicon, which comes with a lot of repetitive work. That said, no technology that automates the work humans used to do has resulted in more jobs for humans.

With all the AI innovations of late, it is starting to feel like a sea change in how we create things. OpenAI's ChatGPT, now embedded in Microsoft's products, can write stories, create computer code, and answer search queries in natural language. Meanwhile, OpenAI's Dall-e can win art competitions with AI-generated art. AI also plays a larger role in gaming, with many titles supporting AI upsampling technologies like DLSS. AI isn't an abstract idea anymore - we will increasingly see the fruits of AI labor in daily life.

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Designing computer chips is a hige engineering problem - that AI is now getting better at, accelerating chip design by multiples.

Matthew Griffin

About the author

Matthew Griffin Founder, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. 100 AI-assisted chip designs news.synopsys.com

Source: first published by the 311 Institute on 16 September 2025. Cite as: Griffin, M. (2025). This AI has designed over 100 new kinds of computer chips. 311 Institute. https://www.311institute.com/this-ai-has-designed-over-100-new-kinds-of-computer-chips/

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