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How Gen AI will revolutionize the semiconductor industry

Sanjiv Agarwal
May 30, 2024

The semiconductor industry drives every industry in the world, yet the semiconductor value chain is complex as components travel more than 25,000 miles and cross 70 borders before completion.

During COVID-19, the semiconductor industry got a big boost due to changing consumer habits – driven by remote work, distance learning, gaming, and online shopping – which increased the demand for consumer electronic devices. This unprecedented growth in semiconductor demand resulted in increased supply chain complexities, forcing companies to deploy makeshift solutions across their supply chain and manufacturing processes to handle the various challenges.

Then Gen AI happened

The launch of Chat GPT in late 2022 propelled the technology industry to take a closer look at generative AI, a broad field of artificial intelligence, thus bringing Gen AI into the zeitgeist. Truth be told, like many industries, Artificial Intelligence (AI) and Machine Learning (ML) have always been used in Semi, but the availability of large language models (LLMs) and foundational models encouraged companies to quickly realign their technology roadmaps to include generative AI for enterprise use. At most companies, the initial focus was first, to find ways to improve customer experience via marketing content creation, and second, to deploy touchless solutions to respond to customer queries efficiently and accurately. But as generative AI gained significant visibility and popularity, it became clear to consumers and enterprises from all industries, including the semiconductor industry, that its potential is much deeper and wider.

We see generative AI is poised to influence the entire value chain of the semiconductor industry. On one hand, it will uncover applications that will drive up growth in chip demand. On the other hand, it will drive up demand for generative AI enabled chips for processing specialized applications. As more and more companies are launching new ‘AI enabled chips’, it is expected that Gen AI will also change the way companies do business with process and task automation and intelligence along the entire value chain. We call this “Simulated Futures” because it brings a whole new ease and intelligence to design and simulation at every turn.

The substantial benefits

The adoption of Gen AI promises substantial benefits for semiconductor value chain companies, including streamlined design workflows, accelerated exploration of design alternatives or layout optimization, efficient bug tracking, predictive analytics for manufacturing optimization, simulating manufacturing and supply chain challenges, improved equipment utilization, and yield improvement. These advancements translate into tangible improvements in Time-to-Market (TTM), cost reduction, and overall product quality, offering a competitive edge in the market.

At the same time, integrating Gen AI offers semiconductor companies numerous Go-to-Market (GTM) benefits, including competitive differentiation, automated product specs documentation, innovation opportunities, and the creation of valuable IP assets through collaborative ventures. By leveraging Gen AI across the enterprise, companies can enhance productivity, profitability, and operational efficiency, thereby solidifying their position in the industry.

The immense opportunities in the horizon

In this multi-part thought leadership series, we will talk about ways Gen AI is revolutionizing the semiconductor value chain. We’ll explore the comprehensive integration of AI throughout the silicon design workflow, from conception to high-volume manufacturing. and look at how it underscores the critical collaboration between AI specialists and semiconductor Subject Matter Experts (SMEs) in realizing its full potential. We’ll explore how the future can now be simulated.

Read further on how we will share what we already see today (Now technology) and predict the near future (Near technology) on ways semiconductor ecosystem companies can leverage Gen AI to develop intelligent products and services, operations, innovation, and customer experience.

Our next article will focus on How Gen AI will Revolutionize the Chip Design Process.


Sanjiv Agarwal

Global Semiconductor Lead, Capgemini
With about 30 years of experience in the TMT sector, Sanjiv is experienced with enabling digital transformation journey for customers using best-of breed technology solutions and services. In his current role as a global semiconductor industry leader, he is working closely with customers on their journey on producing sustainable technology, driving use of AI/ ML, digital transformation, and global supply chain.

Ravi Gupta

Senior Director, Trend Lead – Semiconductors Tech and Digital, Capgemini
Ravi brings over 30 years of experience in IT and High-tech. Prior to joining Capgemini in October 2023 , he held leadership roles in Systems Engineering, Platform Validation, Product Design, Presales, and Business Development at Intel for Asia Pacific region. Ravi played a key role in Intel’s market strategy, contributing to the growth of Intel’s Datacentre Platform business with multinational OEM customers. Ravi holds a bachelor’s degree in Electronics Engineering from the University of Mumbai, specializing in Microprocessor design, and has earned many industry certifications in technical and management streams.

Mourad Aberbour

CTO for Silicon Engineering at Capgemini Engineering
Mourad Aberbour is the CTO for Silicon Engineering at Capgemini Engineering. He comes with over 25 years of experience in the silicon domain. He has managed large silicon organizations across the globe (Europe, America and Asia Pacific) in his successful tenure. Previously, Mourad held technical and senior executive leadership positions at Texas Instruments, Intel Corporation and AMD and led teams that have delivered over 1B silicon units across many semiconductor businesses: wireless modem, phone, tablet etc.