The ultimate harvester of AI dividends! As giants are mired in the battle for computing power, Apple quietly starts the "toll booth" model

There is an increasingly popular view that the AI era will primarily reward companies that train the largest models. When analyzing the current landscape, this perspective may ultimately become one of the most serious misjudgments.

Zhitong Finance APP notes that Apple (AAPL.US) is not merely trying to compete in the frontier model race but is positioning itself in the most critical spot within the system, while other companies are burning through massive capital in a desperate chase.

Avoiding Capital Consumption Wars

The market largely still tends to frame the AI competition as a contest between OpenAI, Google, Anthropic, and xAI. This old perspective is rapidly becoming outdated. What makes Apple remarkable is that it doesn't even have to participate in this cash-burning race in the same way. Instead, the company has a clear positioning, aiming to become the "toll booth" that cannot be bypassed in the circulation of AI experiences.

This is undoubtedly the most compelling part of the argument. Apple can continue to collaborate with frontier model developers while focusing on optimizing experiences around its ecosystem. Reports suggest that Apple plans to allow users to directly select competitors' AI models in future operating systems. This includes increasingly deep integration with Anthropic and Google AI. Apple can collect "tolls" in a broader and more competitive AI market without bearing the same infrastructure burdens.

The brilliance of Apple's position lies in its ability to continuously evolve its platform while other companies pay exorbitant fees for GPU and data center expansions. Apple has indeed invested a significant amount of capital, but its goal is not to chase jaw-dropping valuations by competing for model leadership; rather, it aims to deepen user lock-in within its ecosystem using its vast capital reserves.

Even more impressively, Apple has earned high consumer trust in privacy and device integration. This is crucial as AI becomes more personalized and increasingly embedded in the main technology stack of consumer software. Consumers need a reliable platform provider that can coordinate all work between applications and services while not exposing sensitive data. Long before competitors fully realized how much value this differentiation could bring, Apple had correctly identified device-side AI and privacy cloud computing as core pillars of its strategy.

Distribution is More Important than Model Leadership

For years, investors have tended to reward companies that most directly meet urgent needs. NVIDIA (NVDA.US) is undoubtedly the uncontested king in the AI infrastructure space today and continues to be favored by the market for its most direct "sales of dreams." However, in the long run, Apple may have the clearest leverage over the broader AI economy.

Apple currently controls many relatively irreplaceable aspects of consumer computing. The iPhone remains the most significant representative of personal technology worldwide. The App Store is still extremely important. Apple's operating system remains the blueprint for delivering digital experiences on billions of devices. Once AI agents become more capable, the most obvious demand will be for consumer interaction layers, not just confined to the interiors of massive data centers This massive change is extremely important because value will quickly shift towards those most irreplaceable "gatekeepers," rather than merely to the companies currently extracting the most profit from computational demand. Clearly, Apple is at the intersection of AI demand and monetizable consumer interactions. This difference arises from Apple's control over the operating system environment itself.

The rise of agent tools further solidifies this opportunity. As AI agents evolve into more autonomous layers of experience, they will require continuous operating environments, payment infrastructures, authentication systems, and consumer trust. Apple is fully committed to becoming the default coordinating layer for these experiences. They can coordinate all the work between models while maintaining the most direct connection with consumers.

This could become a major selling point in just a few years. Developers of AI-native applications will clearly invest heavily in ecosystems that allow them to reach consumers most smoothly. Apple's large installed base and ecosystem cohesion are decisive factors in this.

Services may become a hidden AI monetization engine

Many investors still prefer to view Apple as a hardware company. This greatly underestimates Apple's current situation. In the most recent quarter, service business revenue was approximately $31 billion, and this department's profit margin remains extremely high. Apple is positioning itself as the monetization layer above consumer AI interactions.

The company does not need to be at the center of all AI affairs. It only needs to absorb the demand flowing through its ecosystem. This is crucial because AI usage will translate into greater demand for consumer services. Apple is not merely hoping for a giant model to suddenly dominate the market; rather, it relies on an ecosystem composed of multiple AI providers and diverse experiences.

The profits ultimately brought by this strategy may far exceed many investors' expectations. Due to high inference costs and increasing competitive pressure, companies training cutting-edge models may face extremely volatile growth trajectories. Meanwhile, Apple can achieve relatively stable monetization through its installed base and service ecosystem.

The recent positive shift in market sentiment towards Apple aligns with the increasing evidence that AI upgrades are stimulating hardware demand. Earlier this year, Apple announced quarterly revenue of $143.8 billion, a 16% year-over-year increase, with iPhone revenue soaring by 23%. Subsequently, widespread demand for the new iPhone helped its revenue in the March quarter reach a new high of $111.2 billion.

This alone should influence investors' thinking about "Apple Intelligence." The key point is not whether Apple will release the most advanced chatbot tomorrow morning, but rather the most critical aspect of the system: whether AI capabilities can keep consumers within the Apple ecosystem and accelerate device upgrade cycles. Early evidence has clearly indicated that this dynamic is forming.

Apple may be playing a completely different game

One of the more confusing aspects of the current landscape is that many investors still seem to misunderstand Apple's broader positioning. Apple does not aim to become another OpenAI. It is preparing for the impending deep structural explosion of AI-driven consumer activities while avoiding the most unfavorable economic models in the infrastructure race This point is crucial because the truly scarce resource in the AI field may ultimately be more than just computing power. Consumer trust, distribution channels, payment infrastructure, and control over operating systems are all stubbornly rooted in the physical world. These assets are difficult for startups with strong models but limited ecosystem coverage to replicate.

Apple's approach also reduces risk. Many AI companies may face overly high short-term expectations from investors as they actively invest in infrastructure while monetization pathways remain uncertain. Meanwhile, Apple is vigorously promoting the monetization of existing ecosystems. The company can continue to advance in an orderly manner, while competitors plan to invest heavily in computational expansion.

This alleviates the pressure on Apple's profit margins and capital intensity. The company can generate astonishing numbers for any business while continuing its large-scale stock buyback program. The generation of free cash flow remains crucial as it provides management with flexibility during potentially volatile periods in the AI economy.

Apple's choice to collaborate rather than compete in all areas simultaneously also has strategic advantages. Reports about deeper integration of Gemini into Siri and providing a broader extensibility framework for third-party AI models clearly indicate this direction. Apple quickly pointed out that the demand for devices compatible with Apple Intelligence is rapidly growing, while emphasizing that AI experiences should always prioritize privacy.

Clearly, analyzing Apple solely through the lens of iPhone sales growth is no longer effective. Apple is extending its influence into the next computing era. This includes wearable devices, AI-enhanced devices, and potentially deeper integration layers that cover consumer software experiences.

Risks and Challenges Remain

None of this means that Apple is without risks. The superficial argument that Apple can forever rely on ecosystem advantages should not be fully accepted. The company still needs to execute well on AI integration, particularly with Siri. Delays in advanced Siri features have led to lawsuits and public criticism.

Apple also faces the risk of AI interfaces fundamentally changing consumer behavior at an unexpected pace. If consumers begin to interact primarily through AI-native environments that detach from traditional operating systems, some of Apple's platform advantages may also weaken over time.

Another challenge is valuation. Relative to some of its historical ranges, Apple's valuation multiples are at unusually high and aggressive levels. The market has, to some extent, priced in optimistic expectations for AI. If this aggressive expansion strategy slows down, or if Apple fails to deliver compelling consumer AI features, the stock price may experience relatively volatile periods.

Apple still faces significant backlash regarding App Store policies and ecosystem control. The company is also highly dependent on a complex supply chain spanning China and Asia. These issues remain critical, as the availability of hardware is still fundamental to driving ecosystem participation.

Conclusion

Apple is one of the most attractive companies in the world because it is approaching AI from a direction that is completely different from most competitors. The company does not expect to win a pure model intelligence race but focuses on becoming a coordinating layer above increasingly commoditized AI capabilities This strategy may ultimately be more important than the leadership position of cutting-edge models themselves. AI models may be eroded by competition over time, while a consumer ecosystem with billions of users is difficult to replace. Apple is increasingly resembling a highly durable consumer AI pillar, rather than just another participant in the AI race