GS E&C headquarters in Jongno-gu, Seoul.
GS E&C announced on the 10th that it has officially launched its self-developed AI platform, “AI LAB.” The move is drawing attention not merely because another AI tool has been introduced, but because it structurally addresses two key tasks: security and the internalization of technology.
Most companies today are bringing external AI services such as ChatGPT or Claude into their workflows, but the situation is somewhat different in the construction industry. Core operations depend on materials that absolutely cannot be exposed outside the company, such as design drawings, construction data, and bidding information. No matter how convenient AI may be, if sensitive data must be sent to an external server, adoption becomes difficult in practice, which has effectively forced many construction firms to acknowledge the necessity of AI while still keeping its use scope limited.
GS E&C addressed this issue with an on-premise approach. Instead of using external cloud services, the company runs AI on GPU servers it owns directly. Because data does not leave the internal environment, materials tied to intellectual property rights, such as drawings, can now be uploaded and used with AI more freely.
There is another noteworthy aspect. AI LAB is designed so that the more employees use it, the more related data and operational know-how accumulate on the in-house GPU infrastructure. When external AI services are used, the experience and data ultimately become assets of external platforms, but AI LAB works in the opposite way. As use by executives and employees builds up, GS E&C’s proprietary AI capabilities are naturally internalized. In the long term, this creates a foundation for evolving into in-house AI systems specialized for construction sites, design, and process management.
A GS E&C employee uses AI LAB. GS E&C
Rather than insisting solely on AI LAB, GS E&C has adopted a “hybrid AI strategy” that uses it together with existing external AI tools. Highly secure internal data are processed with AI LAB, while routine document work or tasks requiring external information are handled by existing external AI tools. Instead of trying to change everything from the outset, the company has designed a transition path that can naturally integrate into on-site operations, representing a pragmatic approach.
A GS E&C official stated, “AI utilization is not just a technology issue but a strategic choice for business innovation,” adding, “We will foster a culture in which employees can freely use AI and share their experiences with one another.”
CEO Heo Yoon-hong had previously emphasized strengthening competitiveness through the use of AI in daily work at this year’s New Year’s kick-off ceremony. The launch of AI LAB represents the first concrete step in translating his policy direction into actual infrastructure.
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