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Qualcomm COMPUTEX 2026 Keynote summary

Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.
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COMPUTEX 2026 Keynote summary1 Jun, 2026

Opening remarks and conference theme

  • COMPUTEX 2026 convenes amid major geopolitical shifts and rapid technological transformation, with AI positioned as the catalyst for a new era of civilization.

  • The event's theme, "AI Together," emphasizes collaboration between humans and AI, and among global industry players, reflecting a shift from isolated innovation to integrated system development.

  • COMPUTEX 2026 is the largest in its history, featuring expanded venues and a record number of exhibitors and startups from around the world.

  • The conference highlights Taiwan's central role as a global AI hub, with a focus on building a purposeful, trust-anchored future for AI and humanity.

Keynotes and industry leadership

  • Four global chip CEOs from Qualcomm, Marvell, Intel, and NXP share the stage to discuss the future of AI computing, spanning edge devices to data centers and robotics.

  • Dedicated pavilions and forums spotlight robotics and physical AI, with leaders from NVIDIA, Qualcomm, ABB, and NXP presenting on real-world AI deployments.

  • InnoVEX showcases nearly 500 startups from 23 countries, demonstrating AI's expansion into robotics, healthcare, materials, and industrial intelligence.

  • The Best Choice Award and expanded exhibition areas underscore the industry's shift from raw computing power to system-level value and application.

Qualcomm keynote: The year of agents and AI at the edge

  • AI is evolving from a tool to autonomous agents, fundamentally changing device architecture and user interaction across phones, PCs, cars, and robotics.

  • The digital ecosystem is shifting from device-centric (phone) to agent-centric, with agents orchestrating tasks across all endpoints and operating proactively.

  • Devices must be redesigned for agentic AI, requiring new hardware and software to support autonomous, context-aware, and power-efficient operations.

  • Agentic AI adoption is accelerating, with orchestrators and assistants running natively on Snapdragon platforms and integration into Android and Windows ecosystems.

Hardware architecture for agentic orchestration
Cost efficiency of distributed AI token routing
6G sensing as real-time context for agents
Agentic AI's impact on device architecture
Distributed AI's role in token cost reduction
6G sensing as a context source for agents
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