Samsung Electronics Chairman Lee Jae-yong said the company will continue AI innovation designed to enrich humanity and improve human life [1, 2].
This strategy signals a shift toward a more integrated global approach to artificial intelligence. By emphasizing the interdependence of hardware and software, Samsung aims to position itself as the primary bridge between U.S. software capabilities and Asian manufacturing power.
Lee said that the way humans work, think, and live is being fundamentally changed [1]. He said that the AI era cannot be opened by the power of a single company or nation alone [1]. To navigate this transition, Lee proposed a comprehensive global ecosystem that integrates AI models, advanced semiconductors, data centers, power supply, and international cooperation [1, 2].
Lee said the most effective path forward involves leveraging the specific strengths of different regions. He said there is a need to combine AI expertise from the U.S. with the semiconductor strengths of South Korea [1, 2]. This collaboration is intended to create a stable and scalable infrastructure for next-generation intelligence.
Lee said Samsung will continue to innovate in alignment with the global community to ensure AI remains safe and beneficial. The chairman's vision focuses on a holistic infrastructure where the physical hardware—such as chips and power grids—is as critical as the algorithms driving the software [1, 2].
This approach seeks to mitigate the risks of isolationism in the tech sector. By advocating for a shared ecosystem, Samsung intends to ensure that its hardware remains the standard for the world's most advanced AI models [1, 2].
“The AI era cannot be opened by the power of a single company or nation alone.”
Samsung's emphasis on a 'global ecosystem' reflects the reality that AI dominance requires both massive compute power and sophisticated software. By explicitly linking US AI expertise with South Korean hardware, Lee is positioning Samsung not just as a component supplier, but as a strategic orchestrator of the AI supply chain. This strategy aims to secure Samsung's relevance as AI models become increasingly dependent on specialized, high-efficiency semiconductors.
