Samsung’s Biggest AI Investment Yet May Be Worth $648 Billion

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Samsung may be getting ready to make one of the biggest AI investment announcements in its history. According to reports from South Korea, Samsung plans to invest 1,000 trillion won (about $648 billion) over the next 10 years to expand its AI and semiconductor business.
Samsung could announce the $648 billion AI investment on Monday
The announcement is expected to be made on Monday during a meeting with South Korean President Lee Jae Myung. Samsung executives are reportedly expected to attend, along with officials from SK Hynix.
The investment won’t be limited to chips. Samsung is also said to be spending heavily on AI data centers, batteries, and advanced display technologies. A large chunk of the money, reportedly around 300 trillion won, could go toward building new semiconductor factories in the country’s southwest.
Most of Samsung’s chip facilities are currently located around Seoul. However, with AI driving record demand for advanced chips, the region is facing shortages of land, power, and water needed for large manufacturing plants.
Instead of keeping everything in one place, Samsung appears to be spreading its investments across different parts of the country. It’s a move that also matches the government’s goal of creating more jobs and economic growth outside the capital region.
Still, the plan isn’t without controversy. Some critics believe the government is pushing companies toward politically preferred regions. Others worry that new chip hubs could reduce future investment in existing manufacturing cities.
Industry experts have also pointed out another challenge. Building state-of-the-art chip factories is only half the battle. Samsung will also need to attract thousands of highly skilled engineers to locations outside Seoul, and that may not be easy.
Samsung hasn’t officially confirmed the reported investment plan yet. If the announcement goes ahead on Monday, however, it could mark another major step in the company’s long-term AI and semiconductor strategy.
















