Qualcomm CEO reveals AI firms seek phones for 100B-parameter models by 2028

Summary

Qualcomm CEO Cristiano Amon has revealed that leading AI companies are expressing a strong demand for smartphones capable of running 100-billion-parameter models continuously by 2028, indicating a significant shift in mobile technology. This development aligns with trends in mobile AI, where major AI organizations are seeking dedicated hardware for continuous on-device inference. Furthermore, semiconductor designers are actively collaborating with these AI firms to ensure future phones meet the processing and power requirements needed for these advanced always-on AI features.

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$QCOM

Analysis

Qualcomm: Qualcomm is a leading semiconductor and wireless technology company that designs chipsets and platforms for smartphones, automotive, and IoT devices. Its work focuses on advancing mobile processors capable of handling complex computing tasks. In this news, the company’s CEO highlights direct requests from leading AI firms for phones that can run and sustain very large AI models continuously by 2028. Alex Heath: Alex Heath is a technology journalist who covers major developments in consumer electronics, AI, and the semiconductor industry. He conducts in-depth interviews with tech executives to surface emerging trends. Here, he moderates the discussion that prompts Qualcomm’s CEO to reveal AI companies’ plans for building and deploying advanced phones. Cristiano Amon: Cristiano Amon serves as President and CEO of Qualcomm, overseeing strategy in mobile, computing, and AI hardware. He regularly engages with industry developments around next-generation device capabilities. In the reported interview, he shares anonymized feedback from frontier AI companies about their requirements for on-device AI running on Qualcomm-powered phones. Mobile AI Development: Leading AI organizations are actively exploring dedicated smartphone hardware to enable continuous on-device inference for large models. Semiconductor Collaboration: Chip designers are receiving direct input from AI firms on the processing and power requirements needed for always-on AI features in future phones.

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