AI PC Battle: Don't Bet on Camps, Bet on Toll Booths

Roger Lee | BIT Special Equity Analyst

With 21 years of experience in investment banking, asset management, and financial institutions, he has long focused on AI industry chains, US stock macro liquidity, and options strategy research.

NVIDIA and MediaTek entering the AI PC space seems on the surface like a new chipset combination for consumer PCs, but the essence is that the Windows on-device AI ecosystem is moving from tentative single-player trials to multi-player competition. My assessment is that this battle should not be simplified into an "x86 vs. Arm" religious alignment; what is truly worth studying is who can navigate the upgrade cycle, sustain gross margins, cash flow, and pricing power within the industry chain.

I view the AI PC opportunity through three layers:

• The first layer is the advanced manufacturing tollbooth; regardless of who wins, TSMC is more likely to collect the toll.
• The second layer is the spillover of computing power and platforms, with AMD and NVDA representing x86's offensive and the extension of the GPU software stack, respectively.
• The third layer involves architectural diffusion and turnaround plays; both ARM and INTC offer upside elasticity, but position discipline must be stricter.

1. Industry Assessment: AI PCs Move from Concept to Shipment Validation

In 2024, Gartner estimated that AI PC shipments would reach 114.225 million units in 2025, accounting for 43% of the PC market. After updates in 2025, impacted by tariffs and procurement pacing disruptions, the forecast was revised down to 77.792 million units (31% share), but 2026 still expects shipments of 143.113 million units, with a penetration rate of 54.7%. The insight I draw from this data isn't that "AI PC demand is falsified," but rather that short-term rhythms will fluctuate while the long-term trend towards standardization remains unchanged.

From an investment perspective, the real challenge for AI PCs isn't "whether they have an NPU," but whether users are willing to upgrade their devices for a local AI experience. If application layers remain limited to meeting minutes, image generation, and simple assistants, the upgrade elasticity will be lower than the market's most optimistic expectations. However, if enterprise users begin standardizing privacy computing, low-latency inference, and local knowledge base deployment, AI PCs will transform from a consumer electronics narrative into an enterprise IT upgrade story.

2. Competitive Landscape: Chipmakers Battle, TSMC Collects the Toll

The surface narrative of AI PCs is Arm challenging x86, but I am more concerned about where the profit pool migrates. NVIDIA excels in its GPU and AI software stack, AMD in its x86 CPU and GPU combination, Qualcomm in low power consumption and connectivity, and Intel in its existing ecosystem and enterprise channels. Each has its advantages, but they share a commonality: high-end chips cannot bypass advanced manufacturing processes.

TrendForce reports that global wafer foundry revenue in Q2 2025 was approximately $41.7 billion, with TSMC holding a 70.2% share; in Q4 2025, global revenue was about $46.3 billion, with TSMC's share around 70.4%. This indicates that as long as AI PCs, AI servers, mobile APs, and edge AI chips continue competing for advanced nodes, TSMC is not a simple cyclical stock but rather a tollgate for the entire AI hardware era.

I don't believe in chasing every new product launch, but I do believe that every instance of intensified industry competition should prompt a reverse question: if the winner is uncertain, who can charge tolls to all winners? In the AI PC arena, my answer remains advanced manufacturing, packaging, key IP, and platform software, rather than simply betting on a single architectural narrative.

3. Target Ranking: TSM as Core Holding, AMD for Offense, Intel/ARM for Elasticity

Over the past year, semiconductor stocks have already priced in AI PCs, on-device AI, and computing power spillovers. Based on Yahoo Finance daily prices, AMD, Intel, ARM, and TSM have all shown strong elasticity within the sample period, but represent different risk-reward profiles. My approach isn't to buy all AI PC-related names together, but to layer them based on certainty, valuation discipline, and position in the industry chain.

My core conclusion is simple: this is not a war where you must pick winners; it is a war where you should buy tollbooths, platforms, and companies with predictable cash flows. If the market prices in hype on a news day, I prefer to wait. If a correction brings the risk-reward of good companies back into a reasonable range, I will prioritize TSM and AMD, followed by the opportunity for elasticity in ARM and Intel.

4. Risk Warning

The risks along this theme cannot be ignored:

First, AI PC applications may underperform expectations, leading to a weaker-than-expected upgrade cycle.

Second, if Windows on Arm compatibility improvements are too slow, the narratives of Qualcomm and new entrants will face headwinds.

Third, tariffs, corporate procurement pauses, and macroeconomic uncertainties could impact PC demand.

Fourth, if supply and demand for advanced manufacturing processes experience temporary mismatches, TSMC could also face valuation corrections.

Fifth, the entire AI chain is valued at a premium; once US stock risk appetite declines, the most elastic names often decline the fastest.

Therefore, I lean towards treating AI PCs as a long-term industrial migration rather than a short-term news trade. The truly professional approach is not to buy the narrative on product launch day, but to wait for the emotional tide to recede and then buy the ecosystem, the tollbooths, and the companies capable of consistently generating cash flow.

This report is prepared by a special analyst. The views expressed in the report represent the personal stance of the author and do not represent the views of BIT. This material is for reference only and does not constitute investment advice.