Cristiano Amon, President and CEO of Qualcomm, said India is rapidly emerging as a global manufacturing hub, with artificial intelligence poised to accelerate automation across industries. Speaking at the India AI Impact Summit 2026, Amon emphasized that major technological shifts create transformative opportunities—and India stands at the center of this AI-driven transition.
According to Amon, AI will play a pivotal role in India’s industrialization journey. From the outset, manufacturers can deploy smart automation systems powered by AI, allowing the country to leapfrog traditional industrial models. He noted that AI integration in factories, logistics, and supply chains could drive productivity and global competitiveness.
Beyond manufacturing, Amon highlighted AI-enabled infrastructure as a catalyst for smarter cities, improved healthcare delivery, and enhanced educational access. Intelligent digital assistants and AI “agents,” he said, will increasingly support users in daily tasks, learning, and professional decision-making.
He also pointed to emerging AI-powered devices, such as smart glasses, that could transform sectors like agriculture by providing real-time insights and contextual data to farmers. Such innovations reflect the broader potential of embedding AI into everyday technologies.
San Diego-based Qualcomm has embedded AI capabilities across its chipsets and platforms and is expanding into AI data center solutions, including inference accelerators. Amon stressed that democratizing AI—making it widely accessible—will define the near future and create new services, experiences, and devices globally.
In a significant development, Qualcomm announced a partnership with Tata Electronics to manufacture automotive modules at its upcoming OSAT semiconductor facility in Jagiroad, Assam, strengthening India’s semiconductor ecosystem.
Looking ahead, Amon underscored that AI will be central to sixth-generation (6G) networks. Future telecom systems will not only deliver data and voice but also integrate sensing capabilities, enabling applications such as autonomous vehicles, drone management, and AI-driven network intelligence—marking a transition as significant as the shift from voice to mobile data.
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