From the Apple supply chain to the "AI supply chain", from the "Old World" to the "New World"

A single stone stirs up a thousand ripples.

Recently, after Apple raised the prices of its MacBooks and iPads, investors worried that the soaring costs of semiconductors such as memory would suppress consumer demand. This concern was quickly reflected in the stock prices of Apple and its supply - chain related companies: Apple's stock price came under pressure, and the stock prices of related companies such as SK Hynix, Samsung Electronics, Luxshare Precision, TDK, and Murata declined.

The market's concerns are straightforward: if the hardware cycle is under pressure, suppliers within the Apple ecosystem will also be downgraded in the market's view.

However, short - term stock price fluctuations do not mean a decrease in the value of Apple's supply chain. The market sees the pressure on costs and demand; what enterprises really need to answer is whether they are just a cost item in Apple's hardware cycle or have already opened up a second or even an Nth growth curve.

The just - concluded China International Supply Chain Expo may provide another perspective for observation.

On June 22, the 4th China International Supply Chain Expo opened in Beijing. Apple, which participated in the expo for the fourth consecutive year, remained the focus of the event. Alongside Apple on the exhibition stand were three supply - chain enterprises: AAC Technologies, Sunny Optical, and CoreTech.

From Lens Technology and Changying Precision to Goertek and Sunwoda, and then to AAC Technologies, Sunny Optical, and CoreTech this year, Apple's annual adjustment of the list of joint exhibitors is itself a dynamic indicator of the "Apple supply chain". But what really deserves attention is not who comes, but what they bring and where the supply - chain capabilities developed through long - term training by Apple are headed.

If you pause in front of Apple's exhibition stand, you will notice an interesting phenomenon. AAC Technologies presented an automated production line for magnetic levitation tactile engines. Sunny Optical showcased an AI - powered intelligent visual inspection system. CoreTech brought an automatic assembly line for the Apple Watch crown. The exhibits of the three enterprises are different, but they all revolve around a high - frequency term: AI.

This raises several questions worth exploring.

1. When Apple supply - chain enterprises "adopt AI", is it just to create a new narrative for the expo, or has AI become the path forward after precision manufacturing has reached a certain critical point?

2. When Apple adjusts the list of joint - exhibiting suppliers each year, is it selecting the best - performing ones or the ones that are "evolving the fastest" in the new era?

3. When companies that have been making mobile phone parts for more than a decade start using AI for real - time closed - loop correction of production lines, optimizing process parameters with AI, and selecting structural parts using natural language, are they still just so - called "parts manufacturers"? Will the Apple supply chain be replaced?

These questions are the key to understanding the current situation of Apple supply - chain enterprises.

In fact, to answer these questions, we need to look beyond Apple and turn our attention to the supply - chain enterprises themselves. In the past, Apple defined the products, and the supply - chain enterprises were responsible for implementation. Now, changes are taking place: Apple still defines the products, and the supply - chain enterprises still work with Apple to implement these definitions. At the same time, the supply - chain enterprises themselves are also starting to "define capabilities".

These "capabilities" no longer only serve a particular generation of iPhones, Macs, or Apple Watches. They are also flowing into new hardware scenarios in the AI era, such as AI mobile phones, XR devices, robots, AI servers, and smart cars.

The Apple supply chain has not left Apple, but it is applying the capabilities developed for Apple to a larger "new world".

01 "Adopting AI" is not a fad

At the supply - chain expo, Apple supply - chain enterprises' "adoption of AI" is not a fad.

As manufacturing precision reaches the micron level, the detection objects become invisible defects to the human eye, and the assembly space is too small for manual operation. The traditional "human - supervised machine" model has become ineffective. If AI is only used to replace humans in repetitive inspections, it is at best an efficiency tool. However, from the displays of the three enterprises, AI is doing much more complex things than just replacement.

AAC Technologies has been collaborating with Apple for 18 years, supplying products across all categories including mobile phones, computers, watches, and wireless earphones, with a cumulative supply of over 8.6 billion units. At this year's supply - chain expo, AAC Technologies' core exhibit was an intelligent closed - loop assembly line for magnetic levitation tactile engines.

The tactile engine may seem like just a small component in consumer electronics, but it actually tests the comprehensive capabilities of micro - motors, precision structures, tactile feedback, and automated control. Public information shows that AAC Technologies can control the assembly deviation within 15 microns, which is 1/4 of the thickness of a human hair, and complete real - time performance detection, anomaly tracing, and parameter correction through an AI system.

In the past, manufacturing systems mostly detected problems after production; now, AI closed - loop systems are starting to establish real - time feedback between assembly, detection, tracing, and correction.

Sunny Optical started collaborating with Apple on lens projects in 2019, and its products have gradually extended to imaging lenses, sensing lenses for iPhones and iPads, as well as camera modules for MacBooks. The core of Sunny Optical's exhibition this year was the ultra - small module for the MacBook Neo camera and the supporting AI - powered intelligent visual inspection system.

This system addresses the detection challenges in precision optical modules. When solder joint anomalies, gold wire deviations, and tiny defects enter the micron - level range, it is difficult for the human eye and traditional rule - based detection methods to stably identify them. The value of AI visual inspection is not just to replace humans and detect faster, but to enable machines to have the ability to recognize, judge, and learn new types of defects.

CoreTech has been collaborating with Apple for over 13 years, delivering over 10,000 production equipment units in total and serving Apple's entire hardware product line. CoreTech showcased an automatic assembly line for the Apple Watch crown this time. To ensure waterproof and dust - proof performance, the equipment needs to evenly apply oil on the micro O - ring, assemble the small crown under a fixed torque, and avoid surface damage.

Meanwhile, CoreTech is also developing an internal AI engineering tool that allows engineers to select standard parts using natural language, transforming the process that used to rely on experience and manual retrieval into an intelligent matching process driven by a knowledge base.

Although the three paths seem different, they point in the same direction:

In the past, the core competitiveness of the three enterprises was to perfect a certain part, such as the sensitivity of the tactile engine, the resolution of the lens, and the precision of the assembly equipment. Now, their core competitiveness has added an AI - enabled layer of "enabling the manufacturing process to have its own sensing, judgment, and correction capabilities".

But this is not all. The supply - chain expo presents the changes on the manufacturing site, while greater changes are taking place outside the manufacturing site.

The Old World and the "New World"

Can the AI capabilities of these Apple supply - chain enterprises only serve Apple?

Obviously, the answer is no. If we examine the business maps of the three enterprises, we will find an emerging trend: they are transferring their precision manufacturing capabilities accumulated in the consumer electronics field to new products in the AI era, such as XR glasses, humanoid robots, AI servers, and smart cars.

This can be summarized as a concept of "Accumulation and Intelligent Application": through in - depth accumulation in the consumer electronics field, they are migrating their capabilities to new products in the AI era.

XR is a typical area in this regard.

AAC Technologies acquired the Finnish AR diffractive waveguide technology enterprise Dispelix because the waveguide is one of the key elements for AR glasses to become truly lightweight and suitable for consumer - level applications. In the past, AAC Technologies was mainly regarded as a supplier of acoustic, tactile, and precision structure components. However, in XR devices, the capabilities of acoustics, touch, optics, structure, and system integration should no longer be considered in isolation.

Similarly, Sunny Olea and Goertek jointly increased the capital of Goertek Optics, further strengthening their position in the optical field. Goertek Optics' business focuses on micro - nano optical components, XR optical lenses and modules, projection light engines, automotive optics, and other areas. Sunny Optical's optical capabilities and Goertek's acoustic and XR manufacturing experience have found a new intersection in this area.

This shows that Apple supply - chain enterprises are not simply switching from one part to another but are complementing their capabilities around new entrances in the AI era.

Humanoid robots are also an area of focus, but not the only one.

At CES 2026, AAC Technologies fully demonstrated its humanoid robot solutions covering the execution system and the sensing system for the first time, including dexterous hands, linear joints, inertial and torque sensing, and acoustic sensing. The significance lies not in AAC Technologies becoming a robot company, but in the fact that robots are re - utilizing AAC Technologies' past accumulations in areas such as micro - motors, precision transmissions, sensing control, and acoustic sensing. This is an application scenario after the spill - over of AAC Technologies' "AI for All" capabilities.

Sunny's subsidiary and Sony jointly developed an AMR navigation and obstacle - avoidance module, which has achieved the first batch of mass production and delivery. Its humanoid robot vision solution was presented at the 2025 World Robot Conference. In the automotive and XR fields, Sunny is also extending its optical capabilities to scenarios such as lidar, automotive sensing, AR/VR, and smart glasses.

The real and greater change is that the hardware forms in the AI era are fully emerging.

From AI mobile phones, XR devices, smart cars to robots and AI servers, the terminal experiences in the AI era almost all rely on the underlying capabilities of these supply - chain enterprises, including sound, touch, vision, sensing, execution, heat dissipation, and precision structure.

In the past, they were defined as consumer electronics parts suppliers because Apple and mobile phones defined the largest application scenarios. Now, as AI enters mobile phones, glasses, robots, cars, and servers, their capabilities are being re - evaluated.

Guo Dan, the CFO of AAC Technologies, summarized AAC Technologies' positioning as an "AI sensing infrastructure builder", providing integrated technical solutions for sensing interaction and thermal management for AI - native hardware and computing power terminals such as AI mobile phones, robots, XR devices, and AI servers. AI has become the core foundation driving the continuous growth of AAC Technologies' multiple product lines.

If we look at the entire Apple supply chain, we will find that similar migrations are occurring in large numbers.

Lead Intelligent Manufacturing is accelerating its transformation into an AI hardware manufacturing platform. On one hand, it is strengthening its AI hardware business by partnering with giants such as Apple. On the other hand, it is exploring the "Nth growth curve" and aiming to become one of the top 3 global embodied intelligent hardware manufacturers. Luxshare Precision has made a strategic investment in Zhongqing Robot. Longcheer, Huaqin, Lens Technology, etc. are also participating in the embodied intelligence track through business cooperation, self - developed production lines, and supply - chain support.

The actions of enterprises such as Goertek, Sunny, and AAC Technologies in the XR field also indicate that the consumer electronics supply chain is regrouping around AI glasses and spatial computing.

Becoming Part of the "AI Chain"

Let's return to the initial question: Will the Apple supply chain be replaced?

Before answering, we need to understand a fact: More than 80% of Apple's 200 major global suppliers have factories in China. This network supports the mass production of Apple's entire hardware product line, including iPhones, Macs, AirPods, Apple Watches, and Apple Vision Pro.

Such a large - scale manufacturing network cannot be replicated or transferred overnight. The stock price fluctuations triggered by Apple's price increase indicate that the market is re - evaluating the risks of the hardware cycle. But what really needs to be distinguished is which companies are still just cost items in a single product cycle and which companies have migrated their capabilities to the new cycle of AI hardware.

Apple's Chief Operating Officer, Sabih Khan, said during the supply - chain expo: "Our relationship with our Chinese supply - chain partners is one of mutual achievement. Our cooperation has exceeded 1 + 1> 2 and has become 1 + 1> 3, 4, 5..."

What this means is that the relationship between Apple and suppliers such as AAC Technologies, Sunny Optical, and CoreTech has changed from a simple buyer - seller relationship to a symbiotic one. The stronger the suppliers' capabilities, the better Apple's products; the higher Apple's standards, the stronger the suppliers' capabilities. Once this positive cycle is established, it cannot be easily disrupted by simple replacement.

So, what will be the next form of these Apple supply - chain enterprises?

A possible answer is that they are becoming part of the "AI chain".

This transformation is not an isolated event. From the 14th Five - Year Plan to the 15th Five - Year Plan, macro - policies have continuously encouraged industrial upgrading, promoting the transformation of the manufacturing industry towards high - end and intelligent directions. Apple supply - chain enterprises are key participants in this transformation process. They not only serve Apple but are also becoming an important support for the country's industrial structure upgrading. In other words, the capability leap of Apple supply - chain enterprises is both the result of market - driven factors and in line with the national strategy.

It's not about giving up Apple's business to focus on AI. Instead, the capabilities accumulated in serving Apple happen to be the most scarce capabilities in the AI era.

If we were to summarize the changes happening to the Apple supply chain in one sentence, it might be: Apple supply - chain enterprises are changing from being defined to defining capabilities. In the past, Apple defined the products, and they were responsible for implementation; now, they are starting to define their own capabilities and find their own application scenarios.

This does not mean that Apple supply - chain enterprises no longer need Apple. Apple is still an important customer, partner, and "training ground" for them. However, the survival logic of these enterprises is no longer just relying on a single large customer but mastering a set of AI capabilities that can serve multiple industries.

This is also what makes the "AI for All" concept of Apple supply - chain enterprises more understandable. It is not simply about "AI making manufacturing smoother" but points to a larger strategic judgment: AI will not only stay in the cloud and in models but will enter every terminal, every device, and every interaction scenario. Those who master the underlying capabilities of sound, touch, vision, sensing, execution, heat dissipation, and precision manufacturing will have the opportunity to become the cornerstone of experiences in the AI era.

Therefore, instead of asking "Will the Apple supply chain be replaced?", we should ask "What is the Apple supply chain becoming?" The answer is that the Apple supply chain will not be simply replaced; it is being re - evaluated: in the short term, it is affected by hardware costs, terminal price increases, and demand expectations; in the long term, it depends on whether it can become part of the AI hardware capability chain.

This also responds to the market fluctuations triggered by Apple's price increase. The capital market can re - evaluate the risks of the Apple supply chain overnight, but the enterprise value is not determined by one day's stock price or a single price increase. What really determines the future of the Apple supply chain is whether it can migrate the capabilities developed in the Apple ecosystem to a broader AI hardware cycle.

Apple still defines the products, but Apple supply - chain enterprises are starting to define capabilities. They are no longer just the executors behind a particular generation of iPhones, Macs, or Apple Watches. Instead, they are migrating the old assets accumulated in the consumer electronics field to the new continent of the AI era.

Regarding the market fluctuations triggered by Apple's price increase, short - term emotions are understandable. However, if we take a long - term view, the value coordinates of some Apple supply - chain enterprises are no longer tied to the price fluctuations of a few Apple products.

The price increase will pass, and the cycle will rotate, but this set of capability systems refined by Apple's standards and reusable across industries will not depreciate due to a single price adjustment.

Therefore, Apple supply - chain enterprises that achieve a capability leap first will show more promising commercial value in the next wave of hardware development led by AI. This is not blind optimism but a judgment based on the evolution logic of the manufacturing industry: the real moat always lies in deep - seated capabilities.

This article is from the WeChat public account "Economic Observer". Author: Pu Zhenyu. Republished by 36Kr with permission.