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Korea’s GS Group Focuses on Transformative Potential of AI, Quantum Computing

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GS Group is integrating AI across its businesses to improve efficiency and decision-making, as it investigates the potential of quantum computing in its business practices.

Insider Brief

  • GS Group is integrating AI across its businesses to improve efficiency and decision-making, as it investigates the potential of quantum computing in its business practices.
  • GS Power developed a data platform to centralize power plant information for machine learning applications.
  • GS E&R implemented an AI-driven system to enhance wind power forecasting using meteorological and terrain data.

GS Group is pushing to integrate artificial intelligence (AI) and quantum computing into its operations as part of a broader strategy to modernize its businesses, the Korea Times reports.

The South Korean conglomerate, the country’s ninth-largest business group, held a high-level strategy meeting last week at its Seoul headquarters. Chairman Huh Tae-soo and around 80 top executives, including affiliate CEOs, discussed how emerging technologies could reshape their industries.

The meeting, the first major executive gathering since the start of the year, underscored GS Group’s commitment to AI and digital transformation.

“Although we do not develop products like AI chips, we will become the winner, if we create new values through well-management of our data and use of AI technology for business transformation,” Huh said, according to Korea Times.

Executives reviewed AI applications in their businesses and explored the potential of quantum computing, a technology that uses the principles of quantum mechanics to process information at speeds beyond the capabilities of traditional computers.

The conglomerate invited Yune Ji-won, CEO of quantum computing startup SDT, to provide insights on its commercial potential. SDT completed a KRW 20 billion ($14.1 million) pre-IPO investment round in December 2024, building on a previous KRW 10 billion ($7 million) investment led by Shinhan Venture Investment and contributions from multiple new investors like DS Asset Management and IBK Investment & Securities.

GS Holdings’ Potential Quantum Connection

Originally part of LG Group, GS Holdings was established in 2004 and officially separated in 2005. GS Group comprises GS Holdings and its subsidiaries across energy, retail, and construction. As of 2019, the conglomerate reported assets totaling 65.4 trillion KRW.

The group’s major subsidiaries include GS Caltex, GS Retail, GS EPS, GS Global, and GS Engineering & Construction, spanning sectors such as energy, retail, and infrastructure. It also owns GS Sports, which operates professional teams including FC Seoul and GS Caltex Seoul KIXX.

With this broad range of businesses, GS Holdings’ firms likely have several use cases particularly suited to quantum computing’s computational power.

Quantum is a Game Changer

“Our executives agreed that quantum computing’s commercialization will become a game changer, which will bring industry-wide innovation,” a GS Group official said, as reported in the newspaper. “As our group engages in oil refining, petrochemicals, power generation and construction, the executives also agreed to the necessity of a ‘quantum transformation.'”

Two of the group’s energy affiliates—GS Power and GS E&R—outlined their use of AI. GS Power presented a data platform that consolidates information from its power plants, allowing for improved machine learning applications.

“GS Power established a platform that shows data from power plants under its supervision, raising prospects for utilizing the data it collects to be used in machine learning,” a GS Group official said in Korea Times.

GS E&R showcased a system designed to improve wind power forecasting. By analyzing wind speed, temperature, atmospheric pressure, and the terrain of mountainous regions, the system enhances energy output predictions.

“GS E&R developed its own system that predicts the size of wind power generation more accurately through the analysis of the characteristics of mountainous areas and various meteorological parameters, such as wind speed, temperature and atmospheric pressure,” the official added.

Matt Swayne
About the author
Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Space Impulse since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses.

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