The core of this cooperation lies in transplanting LG CNS's AI and robot control capabilities to Doosan's hardware technology. LG CNS plans to design a roadmap to transform Doosan's process into an autonomous system through 'Agentic Works', an enterprise agent AI platform. This refers to a next-generation intelligent system in which AI sets goals and performs complex tasks on its own without human intervention. When combined with the 'Physical Works' platform, which integrates and manages robot learning and operation, robots in manufacturing and logistics sites will evolve into highly intelligent entities that go beyond simple repetitive tasks and can judge and learn situations on their own.

The convergence of energy and IT infrastructure is one of the most disruptive strategies of this alliance. As the amount of AI calculations has rapidly increased, power efficiency has become a topic directly related to the survival of data centers, and LG CNS is actively considering introducing Doosan's high-efficiency hydrogen fuel cells to solve this problem. The plan is to not only reduce data center operating costs by replacing existing fossil fuel-based emergency generators with eco-friendly hydrogen energy, but also achieve the ESG management goal of carbon neutrality at the same time. This suggests that data centers can evolve beyond simple server storage into energy-independent intelligent platforms.

LG CNS CEO Hyun Shin-kyun's actions extend beyond this collaboration to global collaboration with NVIDIA. CEO Hyun is delving into the heart of the global technology ecosystem by visiting Nvidia's headquarters in person to discuss ways to link the humanoid robot foundation model 'Isaac Groot' with LG CNS's platform. This technological combination will be immediately applied to domestic manufacturing sites and serve as a foundation for producing practical results. Cooperation with Doosan, in conjunction with this global technology network, is expected to create a huge domino of industrial innovation encompassing all industries, from predictive maintenance of manufacturing facilities to logistics automation.

In order to achieve practical business results, the two companies plan to form a business cooperation promotion body within one month of signing the agreement and begin speedy implementation. Their priority is to go beyond simple business agreements and develop concrete action plans to apply digital twin technology to manufacturing and power generation facilities and to next-generation logistics projects using hydrogen drones. In particular, we are very determined to establish in the market a manufacturing AX (AI conversion) model that maximizes operational efficiency at actual sites by predicting and optimizing the life cycle of facilities in virtual space through digital twins. This will be an important example of how the two companies' technologies in different areas can create synergy and be replaced by a new business model.