
The acceleration of the artificial intelligence (AI) revolution is bringing the entire world to a major turning point. The spread of generative AI and the surge in data centers are driving enormous electricity demand, posing new challenges for the energy industry. We now live in an era where the phrase "no energy, no AI" rings true. Yet viewing the relationship between AI and the power industry simply as that of consumer and supplier is a one-dimensional perspective. The power industry now stands at a critical inflection point where it must confront AI as a massive consumer of electricity while also embracing it as a powerful tool to innovate the very systems of power generation and supply.
The power generation industry has long been a large-scale equipment industry and a domain of accumulated empirical science. Given the nature of the field, the seasoned expertise and intuition of veterans have served as a dependable pillar for stable power supply. However, amid the era's push toward carbon neutrality, the power industry must combine "AI transformation (AX)" with this solid foundation to advance equipment operations to a higher level in order to supply flawless electricity around the clock.
At the center of this change lies the "AI digital power plant." An AI digital power plant is an intelligent power generation base that fuses Internet of Things (IoT) sensors, big data, and AI technology to diagnose equipment in real time. For example, "MIRI," an AI-based predictive diagnosis platform that Korea Midland Power has pioneered and operates, along with the "Hi-KOMI" system that leads smart power plant advancement, are cited as representative success models of the AI digital power plant. The advanced AI platform, which has learned power generation big data accumulated over decades, detects minute vibrations or temperature changes to realize predictive maintenance that prevents breakdowns in advance, dramatically lowering uncertainty in power supply.
In addition, AX goes beyond improving operational efficiency to also transform the safety paradigm in the field. At power plants where high-risk work environments exist, when field workers utilize advanced maintenance platforms and digital twin-based AI technology, they can simulate risk factors in advance in virtual space. Robots and drones inspect blind spots that are difficult for humans to access, completing a smart safety environment that fundamentally blocks the possibility of serious accidents in the field.
Furthermore, the aim of AI innovation led by state-owned power companies ultimately lies in public benefit and shared growth of the industrial ecosystem. Improving power generation efficiency stabilizes supply costs, leading to universal energy welfare that reduces the burden on the public. In addition, the technology sharing by state-owned power companies serves as priming water that creates a healthy industrial ecosystem by fostering a virtuous cycle of advanced AI platform technology with domestic small and medium-sized enterprises. Such shared growth extends to joint entry into overseas operation and maintenance markets based on technological capabilities verified at home, completing a transition to a high-value-added industrial structure that creates a new export model for "K-energy."
Now, power plants must be redefined as sites of advanced technology industry that create new value by processing data and fusing technologies, breaking away from the past framework of simply producing electricity. The power industry's AI transformation paradigm is the most dependable pillar to support future advanced industries and a core strategy that will determine national competitiveness. Amid the fierce waves of AI, I hope that Korea's power industry will soar as a "first mover" leading the global energy market on the wings of the "AI digital power plant."






