Earnings preview highlights slowing handset demand while OpenAI partnership signals long-term shift
Qualcomm (QCOM) is set to report its second-quarter earnings amid a challenging environment for the global smartphone market, even as the company pushes forward with ambitious artificial intelligence initiatives. Investor attention is split between near-term financial pressure and long-term growth opportunities, particularly following reports of a potential partnership with OpenAI to develop next-generation smartphone chips.
According to analyst Ming-Chi Kuo, Qualcomm’s AI-focused chip collaboration with OpenAI could enter mass production by 2028, positioning the companies to challenge the dominance of Apple and Google in the smartphone ecosystem. The initiative reflects a broader industry shift toward AI-integrated devices capable of delivering more personalized and real-time user experiences.
However, these long-term ambitions come at a time when Qualcomm’s core business is under pressure. The global smartphone market has shown signs of contraction, with shipments declining 4.1% in the first quarter, according to industry data. Analysts warn that this could be the beginning of a more prolonged downturn, with some forecasting double-digit declines in unit volumes throughout 2026. Since Qualcomm generates the majority of its revenue from handset-related chips, any sustained slowdown directly impacts its financial performance.
Wall Street expectations for the upcoming earnings report reflect these concerns. The company is projected to post earnings per share of $2.55 on revenue of $10.56 billion, both lower than the same period last year. The handset segment, in particular, is expected to see the steepest decline, while broader chip operations—including automotive and Internet of Things products—are also forecast to soften.
In response, Qualcomm continues to diversify into new markets such as data centers, automotive technology, and robotics. CEO Cristiano Amon is expected to provide further insights into these strategies at upcoming industry events. While near-term challenges persist, Qualcomm’s long-term trajectory may ultimately be defined by its ability to lead in AI-driven hardware innovation.
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