Apple has recently released its financial results, demonstrating a strong performance amidst the ongoing AI revolution, effectively managing to enhance its growth without incurring substantial infrastructure costs like some of its competitors. This strategic approach has allowed Apple to navigate the evolving tech landscape while maintaining budget discipline.
In its latest fiscal year, Apple achieved record revenue and earnings per share. The tech giant reported a remarkable 17.5% increase in iPhone revenue year-over-year, reaching an unprecedented $57.6 billion in the September quarter. Similarly, Mac sales soared by 24% to $10.8 billion, marking its highest sales figures in four years. However, premarket trading saw a dip in shares following warnings of rising memory costs, which could impact profit margins during the busy holiday season.
While Apple has not provided specific data detailing how much of its revenue increase can be attributed to AI demand, executives see potential for the technology to drive future sales. During the earnings call, CFO Kevan Parekh emphasized various ways AI could fuel revenue growth over time.
According to Parekh, AI could provide compelling reasons for customers to upgrade their devices to access the latest features. He stated, “We also see opportunities both in first-party applications and through partnerships with third-party developers.”
Apple’s extensive user base presents a significant advantage, as the company can sell devices that support AI functionalities, collect subscription fees from AI applications, and charge customers for enhanced access to its own AI features.
John Ternus, Apple’s new CEO, expressed optimism about the potential of AI during the earnings call, with AI and “Apple Intelligence” mentioned a striking 45 times. This interest surpassed discussions that followed Apple’s initial reveal of AI technology and the revamped Siri in June 2024.
Increasing AI Mentions in Earnings Calls
Apple continues to present itself as the primary interface for consumers utilizing AI, even integrating competitors’ technologies. With over 2.5 billion active devices, the company has a vast market for emerging AI services.
Unlike its major tech rivals, Apple is not heavily investing in extensive infrastructure. Its strategy combines on-device processing with its own servers and external AI technology. For instance, the Siri AI utilizes models developed in collaboration with Google’s Gemini, while Apple is reportedly planning to allow users to choose from various AI providers for features like writing assistance and image generation.
In the last quarter, Apple spent $2.2 billion on capital expenditures, significantly less than Amazon’s $77.3 billion and Alphabet’s $51.4 billion. This expenditure covers overall operations, not solely AI. During this period, Apple’s operating expenses rose by 21% to $19.2 billion, due in part to increased research and development spending, including in AI.
The growing use of AI also provides Apple with additional revenue streams. The revamped Siri AI was launched in beta for US users in September and subsequently expanded to several other languages by October.
Plans are in place to transform some of that user engagement into subscription revenue. Ternus indicated that features reliant on server-based models would have usage limits, with customers offered opportunities for expanded access in the future.
Furthermore, Apple profits when customers invest in its hardware to run AI locally, especially models from other companies. Ternus noted that the Mac is experiencing its own surge in AI applications.
Illustrating this, companies like Gap have been utilizing Mac Mini systems for in-store AI applications, significantly reducing their reliance on cloud computing expenses. Similarly, Christie’s is employing Mac Studio computers for local AI models to optimize workflows and pricing strategies.
The rise of the Mac Mini and Mac Studio as AI platforms has attracted developers and hobbyists seeking a cost-effective means to run models locally. The demand for these systems has exceeded Apple’s initial estimates, as noted by former CEO Tim Cook.
Additionally, Apple’s revenue model allows for earnings through App Store commissions on third-party AI applications. Recent reports suggest that Apple could generate over $1 billion from generative AI app fees in 2026, although some developers, like OpenAI, are opting to bypass the App Store, reducing Apple’s commission income.
Nevertheless, Apple’s strategy continues to leverage AI to its advantage, allowing it to sell hardware, collect subscription fees, and gradually introduce more of its own services without having to construct every model or invest in excessive infrastructure like its competitors.
Editor’s Take
This development underscores Apple’s inclination to harness AI while minimizing infrastructure investments. For consumers, it implies better access to enhanced features without heavy specifications. Businesses and developers may see increased opportunities through Apple’s ecosystem as it expands AI functionalities, providing a competitive edge in the technology market.
Source: www.theverge.com
