Apple released its fiscal second-quarter 2026 results after the closing bell on April 30, 2026, and for the first time in years the loudest question on the call was not about iPhone gross margin — it was about artificial intelligence. Wall Street entered the print expecting roughly $109.7 billion in revenue, about 15% year-over-year growth, with EPS near $1.95 and iPhone revenue tracking near $56.5 billion. Services were projected at about $30 billion with gross margins above 70%, according to Visible Alpha consensus figures circulated by analysts ahead of the release.
The report lands at an unusual moment. Tim Cook is winding down a fifteen-year run as CEO and is set to hand the company over to hardware engineering chief John Ternus on September 1, 2026. That makes today's call one of his final scripted appearances opposite analysts — and it arrives as investors openly question whether Apple's measured approach to AI is a strength or a strategic risk.
A capex picture that does not look like the rest of Big Tech
Meta, Amazon, Alphabet, and Microsoft are collectively committing well over half a trillion dollars this year to AI-related capital expenditure, building out GPU fleets, custom silicon, and gigawatt-scale data centers. Apple has not joined that race in any comparable form. Analysts at Evercore ISI told clients heading into earnings that Apple has "memory costs well under control" relative to peers, in part because it has not had to absorb the sharp HBM and DRAM price spikes that pushed Meta's and Microsoft's infrastructure budgets sharply higher this quarter.
That restraint has a strategic logic. Apple's pitch is that the iPhone itself is the AI compute layer — a "private AI server in the pocket," as the company has framed it — with most inference happening on-device rather than routed to a cloud cluster.
Siri, Gemini, and the partnership safety net
Apple is not going it alone. In January 2026, Apple and Google reached a multi-year strategic AI partnership under which Google's Gemini model will provide underlying language-model support for Siri inside Apple Intelligence. The deal was widely read as Apple buying time: outsource the frontier model work, ship a credible Siri rebuild, and protect on-device computation as the differentiator.
Investors will judge whether the math holds. Bulls argue that Apple's installed base — and 23% iPhone sales growth in China during the first nine weeks of 2026, against a market that contracted around 4% — gives the company the runway to defer hyperscale AI spending. Bears worry that without a clear demonstration at WWDC in June, Apple risks looking like a permanent customer in the AI value chain rather than a builder.
What to watch on the call
Three things matter more than the headline numbers: any forward commentary on AI-related capex, Cook's framing of the Gemini deal as the Siri rebuild approaches, and the first detailed signals from Ternus about how the next chapter of Apple Intelligence will be paid for and shipped. With Big Tech's AI accountability moment now in full swing this earnings season, Apple is the most-watched data point left on the calendar.
