Apple expects Q1 revenue to rise 7%-10% YoY, above 6% est., and gross margins of 45%-46%, below 47% est., as John Ternus says memory costs are "unprecedented"

Memory chip costs are rising sharply, forcing Apple to increase prices on its devices.

Apple has warned investors of an "unprecedented" increase in memory chip prices, which is expected to impact its gross margins in the upcoming quarter. Despite this, the company anticipates its first-quarter revenue will grow between 7% and 10% year-over-year, surpassing previous estimates of 6%. However, gross margins are projected to be between 45% and 46%, falling short of the estimated 47%. John Ternus, Apple's CEO, attributed the memory cost surge to high demand from AI data centers, a situation dubbed "RAMageddon" in the tech industry. Apple has implemented price increases on iPads, MacBooks, and iPhones to partially offset these rising costs. In the previous fiscal third quarter, Apple reported revenue of $114.5 billion, a 12% increase from the prior year, and earnings per share of $2.10, exceeding analyst expectations.

The surge in memory chip prices, driven by intense demand from AI data centers, poses a significant challenge for hardware manufacturers like Apple. While Apple's strategy of raising product prices has provided some relief, it indicates a potential shift in consumer affordability for premium electronics if these cost pressures persist. The company's ability to maintain strong revenue growth despite these headwinds suggests robust demand for its core products, particularly the iPhone, and a successful market strategy in key regions like China.

Apple's relatively cautious approach to AI infrastructure investment, contrasted with its rivals, appears to be a deliberate strategy to protect its cash flow and profitability. By forming partnerships for AI capabilities, Apple may be able to integrate advanced features without the substantial upfront capital expenditure seen elsewhere. This approach could influence how other tech companies balance R&D investment in AI with financial prudence, potentially leading to more collaborative or phased AI development across the industry.