AI

Apple's AI Strategy Pays Off in Record Earnings

November 3, 2026•Source: The Verge
Eda Kaplan

Eda Kaplan

Senior Technology Editor

Apple has announced its best-ever fiscal year for revenue and earnings per share, largely driven by strong iPhone and Mac sales. The company appears to be successfully navigating the AI boom without the massive infrastructure costs plaguing competitors.

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Apple has just wrapped up its fiscal year, and the results are in: it's been their best year ever for revenue and earnings per share. The tech giant is showing impressive growth, particularly with its flagship iPhone and Mac lines. In the fourth quarter alone, iPhone revenue saw a significant jump of 17.5% year-over-year, hitting a record $57.6 billion for the September quarter. Mac revenue also climbed a healthy 24%, reaching its highest point in four years at $10.8 billion.

However, it wasn't all smooth sailing. Despite these stellar numbers, Apple's shares experienced a dip in premarket trading. This reaction came after the company issued a warning that increasing memory costs could put a squeeze on its profit margins during the crucial holiday quarter. It seems even tech titans aren't immune to supply chain and cost fluctuations.

What's particularly interesting here, dear readers, is how Apple is handling the current AI frenzy. While many of its competitors are pouring billions into massive AI infrastructure, Apple seems to be taking a more measured, yet effective, approach. Their latest earnings report suggests they are capitalizing on the AI boom without succumbing to the budget-busting infrastructure spending that's consuming others. This strategy appears to be paying off, allowing them to maintain healthier margins while still integrating AI capabilities into their products.

This approach is something worth keeping an eye on. As AI continues to evolve and become more integrated into our daily lives, the way companies manage the underlying costs will be a key differentiator. Apple's current success might just offer a glimpse into a more sustainable future for AI development, one that doesn't solely rely on astronomical hardware investments. We'll be watching closely to see how this strategy unfolds in the coming quarters.

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