The AI boom is reshaping the semiconductor industry:Can the world’s chip supply keep up? | Part 1

Artificial Intelligence (AI) has gone from being a futuristic concept to becoming the driving force behind today’s technology revolution. Whether it’s ChatGPT answering your questions, self-driving cars navigating roads, or recommendation engines suggesting your next movie, AI is everywhere. But behind every AI model lies something far less visible yet far more important: semiconductors. Often called the “brains” of modern electronics, semiconductor chips power nearly every digital device we use today. Smartphones, laptops, electric vehicles, medical equipment, satellites, data centers, and even smart refrigerators rely on these tiny silicon components. As AI grows more powerful, the need for faster and more advanced chips is increasing at a pace the industry has never experienced before. Experts now expect the semiconductor industry to generate nearly $1 trillion in annual revenue, driven largely by AI-related demand. But meeting that demand isn’t as simple as building more factories. Chip manufacturing has become one of the most complex engineering challenges on Earth, requiring cutting-edge physics, precision engineering, and an incredibly fragile global supply chain. So, what exactly is happening behind the scenes? Why has AI suddenly made semiconductors one of the world’s most strategic industries? And can manufacturers keep pace with the explosive demand? The tiny technology that powers the modern world Most people never think about semiconductor chips. They’re hidden inside devices, quietly performing billions of calculations every second. Yet they’re among the most important inventions in human history. Today’s semiconductor chips contain microscopic transistors electronic switches that process information by turning on and off billions of times every second. Modern AI chips pack tens of billions of these transistors onto a piece of silicon that’s smaller than your palm. The smallest features inside these chips are roughly 50,000 times thinner than a human hair, making manufacturing an extraordinary feat of precision. Even a tiny speck of dust or a single human skin cell can destroy an advanced chip during production. That’s why semiconductor factories are cleaner than operating rooms, with workers wearing full-body protective suits to prevent contamination. Despite their size, these chips are incredibly valuable. Some of today’s most advanced AI processors sell for more than $30,000 each, highlighting just how critical they have become to businesses building next-generation AI systems. Why AI changed everything The semiconductor industry has always experienced cycles. New smartphones or computers would launch, demand would rise, and eventually slow down before the next upgrade cycle. AI has completely changed that pattern. Unlike consumer electronics, AI requires enormous computing power that operates continuously inside massive data centers. Every time someone generates an AI image, translates text, or chats with an AI assistant, thousands of powerful chips work together behind the scenes. This has created an almost insatiable appetite for advanced processors. Industry analysts estimate that AI chips already account for more than a quarter of semiconductor sales, and that share is expected to grow dramatically over the next few years. At the same time, spending on AI infrastructure including massive data centers is projected to exceed $1 trillion. For semiconductor manufacturers, AI isn’t simply another product category. It’s reshaping the economics of the entire industry. Not all chips are created equal When people hear the phrase “AI chip,” they often imagine every semiconductor performing the same role. In reality, the industry produces several types of chips, each designed for different tasks. These are the workhorses of everyday electronics. They regulate power, measure temperature, control batteries, and manage electrical signals. While they don’t receive much attention, they’re found in almost every electronic product. Central Processing Units handle general computing tasks and remain the backbone of personal computers and many servers. Graphics Processing Units were originally developed to render graphics in video games. Their ability to perform thousands of calculations simultaneously made them ideal for AI workloads, turning companies like NVIDIA and AMD into major players in the AI race. These highly specialized chips are purpose-built for training and running artificial intelligence models. They process enormous amounts of data simultaneously while maximizing speed and energy efficiency. Modern AI processors often combine multiple chips and advanced memory technologies into a single package, creating computing systems far more powerful than traditional processors. What it really takes to build a modern chip? Creating a semiconductor isn’t like assembling a smartphone or manufacturing a car. It’s closer to constructing a microscopic city. A single chip may undergo hundreds of manufacturing steps over several months. It begins with ultra-pure silicon wafers before moving through repeated stages of deposition, etching, cleaning, inspection, and patterning. Each layer must align with extraordinary precision often measured in nanometers. Even the slightest deviation can render the entire chip useless. The complexity doesn’t end there. Different parts of the manufacturing process depend on suppliers spread across multiple countries. Silicon wafers may come from Japan, manufacturing equipment from the Netherlands, specialty components from Germany, chemicals from the United States, and final production from Taiwan. This global network makes semiconductor production incredibly efficient but also highly vulnerable to disruptions. The company quietly powering the AI revolution One company has become indispensable to the world’s most advanced semiconductor manufacturing: ASML Unlike AMD or NVIDIA, ASML doesn’t design or sell chips. Instead, it builds the machines that make advanced chips possible. Its flagship Extreme Ultraviolet (EUV) lithography machines are engineering marvels. Roughly the size of a double-decker bus and weighing as much as a blue whale, each system costs around $400 million. These machines project an incredibly short wavelength of light through mirrors and lenses to etch microscopic circuit patterns onto silicon wafers with astonishing accuracy. Without EUV technology, today’s most advanced AI processors simply couldn’t exist. What makes ASML even more remarkable is that no other company has successfully replicated this technology at scale. That has effectively made the Dutch company one of the most strategically important businesses in the global technology ecosystem. In Part 2, we’ll cover: