Marina Lubimova
Qualcomm unveiled its Dragonfly Data Center AI Platform and highlighted robotics as a market that could exceed $1 trillion over the next decade.
Dragonfly targets AI inference - the stage where trained models serve real-world applications. As AI adoption expands, infrastructure operators are increasingly focused on performance, power consumption, and operating costs. Qualcomm is leveraging its expertise in energy-efficient chip design to address these challenges in data centers.
The launch also reflects a strategic shift. Smartphones remain Qualcomm’s core business, but AI infrastructure offers a much larger growth runway. Cloud providers and enterprises are investing heavily in AI compute, creating opportunities for new hardware suppliers alongside established leaders.
Robotics represents another potential growth engine. Improvements in AI models, sensors, connectivity, and on-device computing are expanding the range of tasks machines can perform without human intervention. Warehouses, logistics, healthcare, agriculture, construction, and retail are among the sectors expected to see increased automation.
These systems require many of the technologies Qualcomm already develops: AI processors, computer vision, wireless communications, and edge computing. As robotics becomes more intelligent and autonomous, demand for specialized computing platforms is likely to grow.
The company's latest announcements point to a broader objective: securing a role in both AI infrastructure and physical AI. Rather than focusing solely on smartphones, Qualcomm is positioning itself around two markets expected to expand significantly throughout the coming decade.
Marina Lubimova
