Every time a new AI chip promises faster training or smaller, cooler processors, there's a quiet instrument working behind the scenes that rarely gets any credit. The atomic force microscope, or AFM, has been around for decades, but the current AI-driven chip race is giving it a second wind. As transistors shrink toward sizes measured in a handful of atoms, the tools used to check whether those structures were built correctly matter just as much as the chip design itself.
It's easy to focus on the flashier parts of the AI boom: bigger models, faster GPUs, new data centers going up overnight. But almost none of that is possible without an unglamorous layer of manufacturing tools working in the background, catching flaws that would otherwise ruin entire batches of chips.
Why AFM Is Back in the Spotlight
Semiconductor manufacturing has always depended on measurement tools that can see what the human eye never could. But the current push toward smaller process nodes and AI-optimized chips has raised the stakes. A single misaligned pattern at the nanometer scale can ruin an entire wafer, and traditional optical inspection simply can't resolve features that small anymore. That's where AFM steps back into the conversation, offering a level of surface precision that's hard to match without damaging the very sample being checked.
The renewed attention isn't just technical, either. It's tied to money. Industry leaders have pointed to staggering AI infrastructure spending as the real driver behind demand for precision metrology tools. According to industry estimates cited by Park Systems' leadership, global investment in AI data centers could reach roughly seven trillion dollars by 2030, and every one of those data centers depends on high-performance chips built with atomic-level precision. Companies that supply the measurement tools behind chipmaking have been compared to the merchants who sold jeans and pickaxes during a gold rush: they don't need any single mine to strike gold to keep making steady money.
That comparison captures something important about how the semiconductor equipment industry tends to behave. Chip designers and AI labs compete fiercely, and some will inevitably win bigger than others. But the companies supplying the measurement and inspection tools behind the scenes tend to see steadier, more predictable growth, since virtually every fab needs their equipment regardless of which chip design ultimately wins in the market.
How an Atomic Force Microscope Actually Works
Unlike an electron microscope, an AFM doesn't fire a beam of electrons at a sample. Instead, it uses a finely sharpened physical probe mounted on a flexible cantilever, which drags or taps lightly across a surface. As the probe encounters bumps, ridges, and atomic-scale forces, the cantilever bends in response. A laser bounces off the back of the cantilever and lands on a photodetector, which tracks even the smallest movements with nanometer-level precision.
This physical, contact-based approach gives AFM a major advantage: it doesn't require a vacuum chamber or a conductive coating on the sample. That means researchers can examine soft materials, polymers, and even living biological samples without altering them first. Electron microscopes can offer extraordinary resolution, but their sample preparation is often invasive, which limits what can be studied and how naturally it can be observed. AFM, by contrast, allows real-time surface profiling under normal or even liquid conditions, which makes it especially valuable for studying sensitive materials like DNA, proteins, and delicate nano-polymers.
Beyond a simple image of a surface, AFM can also generate full three-dimensional topographical data and reveal mechanical, magnetic, or electrical properties of a sample, all from the same instrument. That combination of depth and versatility is part of why it's held onto relevance even as electron microscopy technology has advanced.
AFM vs. Electron Microscopes
| Feature | Atomic Force Microscope | Electron Microscope |
|---|---|---|
| Sample preparation | Minimal, no coating needed | Often requires coating or vacuum prep |
| Sample environment | Works in air or liquid | Requires vacuum chamber |
| Sample damage risk | Low, gentle physical contact | Higher, especially for soft materials |
| Data type | 3D topography plus mechanical/electrical properties | Primarily 2D high-resolution imaging |
| Scan speed | Slower, smaller area per pass | Generally faster for large-area imaging |
Where AFM Delivers Real Industrial Value
First, in semiconductor manufacturing, AFM is used to inspect nanoscale pattern fidelity, detect surface defects after etching, and monitor process uniformity to keep yield rates high across a production line.
Second, in biotechnology, researchers rely on AFM to image biomolecular structures such as cell membranes and nucleic acids, measure the stiffness and elasticity of living cells, and map how viruses or bacteria interact with surrounding surfaces.
Third, across nanomaterials and advanced coatings, AFM supports roughness analysis of nano-surfaces, characterization of adhesion and hardness, and evaluation of thin-film coatings used in optical and energy applications.
Fourth, in polymer and chemical sciences, it helps track structural transitions in polymer blends, profile surface energy before and after chemical reactions, and map the thickness and uniformity of functional films.
The Business Race Behind the Microscope
The AFM market itself has quietly become one of the more interesting corners of the broader semiconductor equipment industry. Globally, companies such as Bruker in the United States, Hitachi High-Tech in Japan, and Oxford Instruments in the UK and Germany have long been recognized names in this space. But one of the more notable players today is a Korean company: Park Systems.
Founded in 1997, Park Systems has grown from a domestic nanotech venture into a global leader, and the company has positioned itself as the top-ranked AFM supplier worldwide while expanding its broader semiconductor metrology lineup. Its systems are used not only by universities and research institutes but also by some of the world's largest semiconductor manufacturers, and the company has continued expanding through moves like its recent acquisition of Rocky Mountain Nanotechnology in the United States, broadening its footprint beyond its home market.
Park Systems' leadership has framed the company's ambitions around the idea that measurement tools are becoming as strategically important as the chips themselves, pointing to KLA, a major American metrology firm with roughly thirteen billion dollars in revenue, as a benchmark for how large this space could eventually become.
For South Korea specifically, this matters beyond one company's stock price. As domestic chipmakers push toward two-nanometer production and new packaging technologies like glass substrates, the availability of world-class, homegrown measurement technology becomes a quiet but real advantage for the broader national semiconductor ecosystem, reducing dependence on foreign suppliers for a critical piece of the manufacturing pipeline.
South Korea's semiconductor industry has historically been defined by its chip manufacturers rather than its equipment makers. Park Systems represents something a little different: a case where a domestic company has managed to lead globally in a specialized equipment category rather than simply supplying a domestic market, pointing toward a broader capability across the supply chain.
What's Next for AFM
AFM isn't without its limitations. It remains relatively slow compared to some non-contact scanning methods, and the area it can cover in a single pass is limited, which makes large-area imaging more time-intensive than some alternatives. To address this, manufacturers are working on faster scanning mechanisms, hybrid sensor arrays, and automated multi-point scanning systems designed to cover more ground without sacrificing the gentle, high-resolution character that makes AFM valuable in the first place.
As chipmaking pushes further into two-nanometer territory and beyond, and as AI-driven demand keeps pulling investment into data centers and the hardware behind them, the case for atomic-level measurement tools only gets stronger. AFM's ability to reveal what's invisible to the naked eye, without damaging the sample in the process, positions it as a quiet but essential part of how the next generation of chips, materials, and even biological research will move forward.
None of this is likely to make headlines the way a new AI model release does. But every leap in chip performance celebrated in the news ultimately depends on a long chain of unglamorous manufacturing steps, and precision metrology sits near the start of that chain.
FAQ
What makes AFM different from a regular microscope?
A regular optical microscope uses visible light and can't resolve features smaller than roughly the wavelength of light itself. AFM instead uses a physical probe to feel out a surface at the atomic scale, allowing it to detect features far too small for light-based imaging to capture.
Is AFM only used in semiconductor manufacturing?
Not at all. While chipmaking is one of its biggest current growth areas, AFM is also widely used in biology, materials science, and chemistry, anywhere researchers need to study a surface without damaging it.
Why is a Korean company like Park Systems significant in this space?
Park Systems has built a reputation as a global leader in AFM technology, and its growth reflects South Korea's broader push to strengthen its position across the semiconductor equipment supply chain, not just chip production itself.
Will AFM eventually be replaced by faster technologies?
Unlikely in the near term. Its unique combination of gentle sample handling and rich data output means it's more likely to be improved through faster scanning methods than replaced outright.
Explore more curated guides, local insights, and stories on Korea360.
👉 Browse All PostsEnjoy free web mini-games right in your browser. No download, 100% free!
🕹️ Play Free Games Now ➔