Qualcomm (NASDAQ: QCOM) stock surged 9% to $194 on Monday, September 21, after the company unveiled a die-to-die optical interconnect demonstration developed jointly with Lumentum Holdings and Corning.
The three companies showcased the technology at an optical communications conference in Malaga, Spain, marking a significant public step in Qualcomm’s AI infrastructure ambitions.
The demonstration combined Qualcomm’s die-to-die interface subsystem, Lumentum’s laser-based optical interconnect platform, and Corning’s multimode fiber connectivity in a single integrated showcase.
Die-to-die connectivity links separate compute chiplets inside the same package, and as AI accelerators scale in complexity, that link becomes a critical bottleneck for bandwidth, power, and latency.
Senior Vice President Tony Chan Carusone framed the challenge directly, stating the technology addresses how “artificial intelligence scale-up requires die-to-die connectivity delivering high bandwidth density while minimizing latency, power and area.”
That positioning matters considerably for how investors perceive Qualcomm, placing its silicon at the center of AI data center buildouts rather than limiting it to the smartphone chip business it has long been associated with.
The market drew a sharp distinction between this AI data center story and Qualcomm’s traditional handset business, with RF suppliers Skyworks Solutions and Qorvo each rising just 0.4% on a day Qualcomm jumped nine times as much.
Broader macro conditions provided additional tailwind, with the Philadelphia Semiconductor Index gaining roughly 4% on the session as oil prices and Treasury yields fell, lifting growth-oriented technology stocks broadly.
Advanced Micro Devices crossed a $1 trillion market cap for the first time that same day, while Arm Holdings and Intel each jumped double digits, reflecting widespread enthusiasm for AI-linked semiconductor names.
Reports that OpenAI plans to spend $278 billion on computing power through 2030, alongside news that Anthropic struck a $1 billion evaluation partnership with Accenture, reinforced the broader narrative that AI infrastructure spending has significant staying power.
Of the 38 analysts tracked by TIKR covering Qualcomm stock, the ratings break down to 9 buys, 2 outperforms, 23 holds, 2 underperforms, and 1 sell, with a mean price target of exactly $194.
That mean target sitting precisely at Monday’s closing price leaves zero implied upside from current levels, a notable shift from periods when analyst targets ran meaningfully above the stock price.
The median target runs even lower at $175, meaning more than half of Wall Street’s price targets currently sit roughly 10% below where Qualcomm stock closed on Monday.
Buy ratings on the stock have slipped from 13 a year ago to just 9 today, and underperform ratings that did not exist in mid-2025 now number two, suggesting growing caution even as the price climbs.
TIKR’s mid-case financial model values Qualcomm stock at $385 by September 2030, implying a 98% total return from the current price of $194, equivalent to approximately 19% annualized over four years.
That projection rests on the same AI infrastructure narrative Monday’s rally endorsed, including hyperscaler engagements, connectivity partnerships with Lumentum and Corning, and a growing pipeline of data center design wins compounding over years.
Sell-side price targets, which tend to reset closer to the current price after each earnings cycle, have only just caught up to Qualcomm’s current trading level following Monday’s move.
The four-year window in TIKR’s model gives Qualcomm’s diversification story a runway that the Street’s nearer-term, flatter targets have not yet fully priced in.
Qualcomm’s AI interconnect reveal also arrived one day before the Snapdragon Summit was set to open in Maui, where the company was expected to detail its next flagship mobile platforms.
Whether Monday’s rally marks the beginning of a sustained re-rating or simply a single-session repricing is the central question facing investors as Qualcomm pushes deeper into the AI data center opportunity.
