Stocks

The Semiconductor Sector: Understanding the AI Chain

Astron Team · 09/24/2026 · 6 min read

When people talk about artificial intelligence, attention usually goes straight to the models and the applications. But behind every AI model running there's an entire chain of semiconductor companies, responsible for designing, manufacturing, and connecting the chips that make it all possible.

This text doesn't recommend buying or selling any stock in the sector. The goal is to explain how this chain works and why it rarely has a single isolated winner, but rather several interdependent companies.

A sector that crossed $1 trillion in annual revenue

According to industry data, the global semiconductor industry has surpassed the $1 trillion mark in annual revenue, a historically unprecedented level. Unlike previous cycles, driven by personal computers, smartphones, or cloud computing, the current cycle has artificial intelligence as its main growth engine.

The chain has no single winner

A useful way to understand the sector is to see it as a production chain, where each link depends on the others for the final product to exist. According to industry analyses, this chain includes, among others, companies responsible for:

• AI computing platforms: companies that design the processors used to train and run artificial intelligence models at large scale.
• Advanced manufacturing: companies responsible for physically manufacturing the most advanced chips on the market, a process that requires extremely specialized equipment.
• Licensed architecture: companies that license the base design of processors used in billions of devices, from phones to cars.
• High-performance memory: companies specializing in the memory chips needed to accelerate AI processing.
• Manufacturing equipment: companies that supply the lithography machines essential for producing chips at the most advanced process nodes.

None of these links works alone. A cutting-edge AI chip simultaneously depends on design, memory, manufacturing, and advanced equipment, which is why industry analysts tend to talk about an ecosystem, rather than a single dominant company.

The shift from training to inference

According to the original data behind this article, the initial artificial intelligence boom, between 2023 and 2024, was driven mainly by training large models in data centers, requiring huge clusters of processors. By around 2026, this phase would have matured, with the sector's focus shifting to inference: the stage of running already-trained models efficiently, cheaply, and at large scale.

This shift changes which companies benefit most. Inference workloads value energy efficiency, low latency, and integration with sensors and physical-world devices, which opens room for companies specializing in low-power architectures, used in phones, cars, and industrial equipment, in addition to companies focused on heavy training in data centers.

Why this kind of sector analysis is useful

Understanding the semiconductor chain helps interpret sector news in more depth. News about a shortage of a certain type of memory, for example, can affect AI chip production capacity far beyond the company directly named in the headline, because other links in the chain depend on that specific input.

Likewise, government decisions about exporting advanced manufacturing equipment, or incentives for building new factories, affect the sector as a whole, not just a single company.

How to follow the sector responsibly

Before forming any opinion about a specific stock in the semiconductor sector, it's worth considering:

• Which link of the chain the company operates in, and how much it depends on other companies in the same ecosystem.
• Whether the reported revenue growth is consistent across several quarters, not just a one-off result.
• The level of customer concentration: companies that depend on a few large contracts carry additional risk.
• That market data changes quickly, and any specific revenue, market cap, or market share figure should always be checked against the most recent available date, not treated as permanent.

Investing in or trading semiconductor sector stocks, directly or through instruments like CFDs available on Astron, involves risk of loss, especially in a sector marked by heavy investment cycles and rapid technological change. Understanding the production chain helps interpret the landscape, but it doesn't replace your own up-to-date analysis before any decision.