AI Compute News – Qualcomm Incorporated has unveiled an ambitious diversification strategy centered on the data center and emerging AI opportunities, positioning the company for significant long-term growth in the agentic AI era. During its 2026 Investor Day in New York, the company raised its fiscal 2029 non-handset revenue target to $40 billion—roughly double the previous target—signaling strong confidence in its expansion beyond traditional mobile handsets.
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Key financial targets include more than $15 billion in data center revenues, $10 billion in automotive, over $14 billion in IoT, $8 billion in industrial, networking and robotics, and $6 billion in personal AI and compute by fiscal 2029. Handsets are expected to represent about one-third of QCT revenues by that time. The company also expanded its automotive design-win pipeline to $65 billion and set a $10 billion automotive revenue goal. Qualcomm anticipates more than $18 in non-GAAP EPS for fiscal 2029.
CEO Cristiano Amon emphasized Qualcomm’s evolution into a full-stack platform company delivering AI solutions from edge to cloud. The strategy leverages strengths in low-power computing, AI, and connectivity across a $1.7 trillion combined addressable market by 2030. Major inflection points include
- agent-ready edge devices,
- data center infrastructure,
- automotive,
- industrial systems,
- networking, and
- robotics.
Qualcomm is expanding into robotics and industrial AI platforms as part of the next wave of Physical AI. An agent-driven upgrade cycle across intelligent connected devices is also expected in coming years. The approach builds on proven operating leverage while funding new growth areas, with AI compute becoming increasingly distributed across devices, edge, and cloud over the next 3-5 years.
This diversification marks Qualcomm’s next chapter, moving beyond silicon to comprehensive platforms. Presentations by Amon, CFO Akash Palkhiwala, Tony Pialis (Data Center), and Nakul Duggal highlighted the roadmap. The company sees continued secular growth in data center, robotics, ADAS, autonomous driving, industrial AI, personal AI, and 6G.
Forward-looking statements note risks including customer concentration, geopolitical tensions, competition, and execution challenges on new initiatives. Qualcomm remains focused on engineering human progress through intelligent computing at scale. The full strategy underscores its commitment to capturing opportunities in the evolving AI landscape across the entire compute continuum.
Source : Qualcomm
