Inside Qualcomm's AI Strategy: Opportunities, risks & outlook

Qualcomm is undergoing a strategic transformation, positioning itself as an AI infrastructure company rather than relying primarily on its smartphone chip business. The company has significantly raised its long-term revenue targets for businesses outside handsets, prompting analysts to reassess its growth prospects following its recent Investor Day. (Sources: Yahoo Finance, Insider Monkey)

Qualcomm has doubled its long-term non-handset revenue target to $40 billion by fiscal 2029, with its data center business expected to contribute more than $15 billion. The company is focusing on high-growth areas such as AI inference chips, automotive technology, industrial Internet of Things (IoT), edge AI computing, and enterprise infrastructure to drive future expansion.

Qualcomm believes that the AI opportunity extends well beyond cloud computing. Its strategy centers on enabling AI directly on devices through edge computing while also expanding into AI-enabled PCs, intelligent automotive systems, enterprise servers, and custom AI processors designed for hyperscale data centers. This approach is aimed at reducing dependence on the cyclical smartphone market.

Following Qualcomm's Investor Day, Bank of America raised its price target on the stock to $220 from $195, reflecting improved confidence in the company's long-term AI opportunity. However, the brokerage maintained an Underperform rating, indicating that much of the optimism surrounding Qualcomm's AI ambitions may already be reflected in its current valuation.

Despite the stronger long-term outlook, analysts remain cautious about execution risks. Qualcomm faces intense competition from established AI chipmakers such as Nvidia and AMD, while the smartphone business continues to account for a significant share of earnings. Successfully entering the highly competitive AI data center market will be critical to achieving its ambitious growth targets.

Supporters of Qualcomm point to its diversified business model and strong technological foundation. The company continues to benefit from its leadership in wireless intellectual property and premium smartphone chips, while its automotive and IoT businesses are expanding steadily. Strong cash generation also provides the financial flexibility needed to invest in future AI initiatives.

Investors will closely monitor whether demand for Qualcomm's AI infrastructure products develops as expected. Other risks include intense competition in AI semiconductors, fluctuations in smartphone demand, the potential loss of modem business with key customers, and higher investment spending before new AI businesses contribute meaningfully to earnings.

Qualcomm is pursuing one of the most significant strategic transformations in its history. If the company successfully executes its AI, automotive, and data center strategy, it could emerge as a diversified leader in AI computing. However, the pace of execution and its ability to compete effectively against established players will remain key factors for investors.

Qualcomm is actively reducing its dependence on smartphones by expanding into AI, automotive, IoT, and data centers. While analysts acknowledge the company's stronger long-term growth potential, opinions remain divided on valuation. Over the next several years, successful execution of its AI strategy is expected to be the primary driver of future shareholder returns.