Low Investment Isn't Apple's Immunity Pass

marsbitPublished on 2026-08-01Last updated on 2026-08-01

Abstract

While Meta and Google face investor scrutiny over ballooning AI capital expenditures, Apple's minimal AI investment has paradoxically become a strength. Its market cap recently reclaimed the global top spot, surpassing $5 trillion. The irony is deep: Apple's own AI efforts have lagged, with "Apple Intelligence" delayed and core talent lost, forcing reliance on partners like Google Gemini and Alibaba's Qianwen. Its Q3 FY2026 (Q2 CY) earnings initially seemed stellar. Revenue hit $109.4B (up 16% YoY), with iPhone and Mac sales, growing 22% and 29% respectively, driving most of the growth. However, the stock fell over 8% post-earnings. The primary concern was a weaker Q4 revenue growth forecast of 9-11%, below expectations, due to looming supply chain constraints. Apple is feeling the indirect cost of the AI boom. Soaring memory and chip prices, fueled by massive data center investments from Microsoft, Amazon, and others, are forcing Apple to raise Mac and iPad prices significantly. The upcoming iPhone launch is also expected to see substantial price hikes. Despite avoiding heavy AI infrastructure spending—its capital expenditures are actually down 28%—Apple cannot escape the industry-wide supply and cost pressures. While Apple's operating cash flow remains robust, its substantial R&D spending (up 32% YoY) has yet to yield major AI breakthroughs. As Tim Cook prepares to step down as CEO, Apple faces a challenging transition: balancing its premium hardware success against the ...

By Shan Shang, Author: I Xue Xingxing, Editor: I Jiang Jiao

While tech giants like Meta and Google face skepticism due to their ever-ballooning AI capital expenditures, Apple's unproductive AI efforts have ironically become a bright spot.

This week, Apple's market cap surpassed Nvidia's, reclaiming the top global spot, with its intraday market value briefly breaking through $3 trillion. Prior to the earnings release, Apple's stock price had accumulated a gain of over 24% this year, making it the only one among the "Magnificent Seven" to achieve double-digit growth.

This is somewhat ironic. Over the past two years, Apple has suffered repeated failures in the AI field. Apple Intelligence has been repeatedly delayed, core AI talent has been continuously lost, ultimately forcing the company to rely on Google's Gemini and Alibaba's Qianwen for implementation. As domestic automakers would say, this is handing over one's soul.

However, as peers' AI spending wars become increasingly extravagant and blind, investors are beginning to panic about whether these investments will ever see returns. Although Apple is behind in AI, it also hasn't burdened itself with heavy capital expenditures. People used to criticize Apple for its slow AI progress, but now they're praising its virtue of restraint.

——This is probably the so-called 'benefit from peer comparison'; standing still can also be a form of leading.

However, the market's enthusiasm didn't last long. In the early morning of July 31, Beijing time, Apple released its Q3 2026 fiscal year (calendar year Q2) earnings report. Revenues from iPhone, Mac, and other businesses significantly exceeded market expectations, driving quarterly revenue up 16% year-over-year, setting a new historical record for the period.

But after the report's release, Apple's stock price fell over 8% in after-hours trading. Meanwhile, Microsoft, Nvidia, and Amazon's stock prices saw noticeable recoveries. Microsoft surged 15.51% in a single day, and Amazon, which also reported earnings alongside Apple, rose over 10% in after-hours trading.

iPhone Saves Apple Once Again

Looking solely at the quarter's performance, Apple delivered a quite outstanding earnings report, with multiple metrics hitting historical highs for the period. The report shows Apple's quarterly revenue was $109.417 billion, up 16.4% year-over-year; net profit was $29.789 billion, up 27.1% year-over-year.

Cook proudly announced in a press release, "We delivered our strongest June quarter ever, with double-digit revenue growth in iPhone, Mac, Services, and across all geographic segments."

iPhone and Mac once again saved Apple, together contributing to about 78% of Apple's quarterly revenue increment, the biggest drivers of its revenue growth. iPhone revenue for the quarter grew 21.7% year-over-year to $54.252 billion, accounting for about 63% of Apple's revenue increment. iPhone's share of total company revenue also rose from 47.4% in the same period last year to 49.6%.

Apple Earnings Report

Omdia's previously released Q2 2026 global smartphone shipment data shows that while global smartphone shipments declined 6% year-over-year for the quarter, Apple achieved 23% year-over-year growth, ranking second globally, with shipment volume hitting a historical high for the period. In contrast, Samsung's market share only grew 5% for the quarter, while Xiaomi, OPPO, and Vivo all saw significant declines, with Xiaomi down 26% year-over-year.

The facts prove that although the marketing narrative of AI phones has been building wave after wave, at least from the current market perspective, what consumers are more willing to pay for is hardware performance and product design. The unintelligent Siri hasn't affected iPhone's popularity at all.

Although Mac's contribution to absolute revenue increment is not as high as iPhone's, its growth rate far exceeded market expectations. Quarterly Mac revenue grew 28.7% year-over-year to $10.352 billion, $1.84 billion higher than market expectations. This was achieved despite supply constraints for high-end chips and some Mac products being in short supply. Apple management previously stated that demand for the MacBook Neo far exceeded expectations, and products like the Mac mini and Mac Studio have also been selling well driven by AI development demand.

Apple achieved double-digit growth in nearly all global markets. Americas revenue grew 11.1%, Europe and Greater China both grew 22.4%, Japan grew 13.4%, and other Asia-Pacific markets grew 15.6%. However, this quarter's revenue growth rate in the Greater China region was slightly below market expectations and also lower than last quarter's 28% growth rate.

Apple Earnings Report

Apart from iPhone and Mac, Apple's other businesses performed relatively flat. iPad revenue fell 5.9% year-over-year to $6.191 billion, the only product line to decline year-over-year. Cook attributed this to a high base from last year's cheaper iPad. Wearables, Home, and Accessories revenue grew 6.5% year-over-year to $7.883 billion.

Against the favorable backdrop of product revenue growing 18.1% year-over-year, Apple's quarterly Services revenue was $30.739 billion, growing only 12.1% year-over-year, both lower than the company's overall growth rate and below market expectations. In comparison, Apple's Services revenue growth last quarter was 16.3%.

The slowdown in Services growth is partly due to the "Apple Tax" beginning to loosen. In recent years, more and more countries and regions have begun challenging the closed ecosystem of the App Store.

The EU has already required Apple to open up to third-party app stores, and the Epic Games lawsuit against Apple forced it to allow external payment links in the US. In March this year, under domestic regulatory pressure, Apple also lowered the commission rate for China's App Store.

The gross margin for the Services business reached 75.6%, far higher than the Products business's 40.1%. Its slowing growth has somewhat impacted Apple's profit performance. Apple's gross margin last quarter was 49.3%; this quarter, after deducting tariff refunds, the gross margin is approximately 48.1%, an actual sequential decline of about 1.2 percentage points.

However, Apple's Services revenue may see some growth with the landing of the new Siri. Apple's new AI-powered Siri and Apple Intelligence are set to launch next quarter. Cook hinted during the earnings call that due to rising computing costs, some AI features might require payment to use.

Avoided AI Spending Burn, But Not AI Price Hikes

Although Apple delivered a quarter of bright growth, the market generally held a pessimistic view. After the earnings release, Apple's after-hours stock price plunged over 8%.

The direct trigger was Apple's pessimistic guidance for the next quarter. Apple expects next quarter's revenue to grow only 9% to 11% year-over-year, below market expectations. Apple management stated during the earnings call that besides the impact of foreign exchange fluctuations, the negative effects of supply chain constraints will intensify quarter by quarter after Q3, adversely affecting the iPhone, Mac, and iPad business lines.

Cook stated that supply chain constraints are mainly concentrated in the Mac product line, with the root cause being extremely strong market demand that they don't have enough capacity to absorb. "In the coming quarter, we will face tremendous pressure on the supply chain side." Apple's M-series chips are mainly manufactured by TSMC, but TSMC's capacity is also increasingly being ceded to AI chips.

Prior to this, Apple has already had to significantly raise prices due to rising memory and chip costs, covering many product lines including Mac and iPad, with some product prices increasing by over 3,000 yuan at the highest. Cook described during the earnings call that the current rise in memory prices is equivalent to a once-in-a-century flood, showing exponential growth, forcing them to adjust prices.

But the last price increase did not include Apple's most important iPhone product line. The market expects Apple's new iPhone to be released this autumn to see significant price hikes, with the starting price of the foldable iPhone possibly as high as over $2,000. The hot sales of iPhone last quarter might partly be related to consumers' panic buying before the price adjustment—considering new models are about to be released, the past second quarter has typically been a slow sales season for iPhone.

Under the pressure of price hikes, market confidence in iPhone sales next quarter is insufficient. Apple management's guidance for iPhone revenue growth next quarter is only around 15%, below Wall Street's expectation of 17.6%.

Apple is already preparing for the increasingly severe supply chain constraints. This quarter, Apple's inventory rose from last quarter's $6.747 billion to $11.092 billion, a sequential increase of 64.4% and an 87.2% year-over-year increase from $5.925 billion in the same period last fiscal year, nearly doubling year-over-year.

According to Bloomberg, Apple is negotiating memory chip purchases with ChangXin Memory Technologies (CXMT) and Yangtze Memory Technologies Corp (YMTC). But this move faces opposition from the US government and Micron Technology. Cook said during the earnings call that the global DRAM market is currently controlled by three companies—Samsung, Micron, and SK Hynix—and adding suppliers would help improve supply and prices.

Not spending on AI doesn't allow Apple to stay out of this AI frenzy. The record-breaking AI data center construction by tech giants like Microsoft, Google, Amazon, and Meta will also directly impact Apple's memory and chip supply, subsequently hurting its revenue.

Currently, the full-year AI capital expenditures announced just by Microsoft, Google, Amazon, and Meta will exceed $720 billion, far surpassing last year's $455.8 billion. Massive AI investments directly caused Google and Amazon's free cash flow to turn negative this quarter, while Meta's free cash flow also plummeted 91%.

In comparison, Apple's capital expenditures this year have not only not grown but have even declined. In the first three quarters of fiscal 2026, Apple's expenditures on purchasing property, plant, and equipment were only $6.799 billion, down 28.2% year-over-year.

Apple Earnings Report

Restrained capital expenditures helped Apple's quarterly operating cash flow hit a historical high for the period. Operating cash flow for the first nine months of this fiscal year reached $117 billion, up 43.1% year-over-year. Cook is truly a master of capital management, helping the company save money even as he approaches retirement.

This is not to say Apple neglects AI investment. Compared to other manufacturers' greater enthusiasm for investing in AI computing power, Apple's investments seem to flow more into the R&D field.

This quarter, Apple's R&D expenses reached $11.729 billion, up 32.3% year-over-year, a growth rate approximately twice that of revenue. For the first three quarters of fiscal 2026, Apple's R&D expenses were $34.035 billion, up 32.5% year-over-year.

Just, such large-scale R&D investment has ultimately failed to yield many significant AI achievements, which is another level of "Only Apple can do."

This was Cook's last time participating in Apple's earnings call. This September, he will officially step down as Apple CEO. Cook specifically thanked the outside world during the earnings call, "Thank you to all our shareholders, especially the long-term shareholders who have trusted us over the years."

He said he has full confidence that Apple's future is bright.

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Related Questions

QAccording to the article, why did Apple's stock price surge despite its lack of significant achievements in AI?

AThe article states that while other tech giants like Meta and Google are facing skepticism due to their massive and escalating AI capital expenditures, Apple's relative lack of such spending became a highlight. Investors began to panic about whether the huge AI investments by others would yield returns. Therefore, Apple's slower pace in AI, which previously drew criticism, was later viewed as a virtue of restraint, leading to a stock price increase. The article sums it up as 'it's all thanks to the contrast with peers, where standing still can also be a form of leading.'

QWhat were the main drivers of Apple's revenue growth in the reported quarter?

AThe main drivers of Apple's revenue growth in the reported quarter were the iPhone and Mac product lines. Specifically, iPhone revenue increased by 21.7% year-over-year, contributing approximately 63% of the company's total revenue increment. Mac revenue also grew significantly by 28.7%. Together, these two product lines accounted for about 78% of Apple's total revenue growth for the quarter.

QWhat factor is cited as the primary reason for the negative market reaction following Apple's strong quarterly earnings report?

AThe primary reason for the negative market reaction (a sharp drop in after-hours trading) was Apple's pessimistic guidance for the next quarter. Apple projected revenue growth of only 9% to 11% for the upcoming quarter, which fell below market expectations. Management cited supply chain constraints, particularly affecting the Mac product line due to high demand and insufficient capacity, as a major factor that would negatively impact several business lines in the quarters ahead.

QHow does Apple's approach to AI capital expenditure differ from companies like Microsoft, Google, and Amazon?

AApple's approach to AI capital expenditure is significantly more restrained. While companies like Microsoft, Google, Amazon, and Meta have announced record-breaking AI capital expenditures (exceeding $720 billion in total for the year), Apple's capital spending on property, plant, and equipment has actually decreased. In the first three quarters of the 2026 fiscal year, Apple's spending in this area was $6.799 billion, a 28.2% year-over-year decline. This financial prudence has helped Apple achieve record operating cash flow. However, the article notes Apple's research and development (R&D) expenses have grown substantially, suggesting its AI investment is more focused on R&D rather than massive infrastructure build-out.

QWhat are the key supply chain challenges Apple is facing, and how is it attempting to address them?

AApple is facing severe supply chain constraints, primarily in memory (DRAM) and chip supply. The article attributes this to the booming demand for AI chips from other tech giants, which pressures the production capacity of suppliers like TSMC. Rising memory and chip costs have forced Apple to significantly increase prices for products like Mac and iPad. To address these challenges, Apple is reportedly negotiating with Chinese memory chip manufacturers ChangXin Memory Technologies and Yangtze Memory Technologies to diversify its supply chain, although this move faces opposition from the U.S. government and Micron Technology.

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Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

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What is AGENT S

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