[Future Wave] Does Attaching a Navigation System to a Carriage Bring Innovation?

The transition to AI has become a major topic across Korean society. The government is competitively announcing policies and strategies to promote AI, while companies are establishing AI departments and declaring "digital innovation." However, the voices from the field tell a different story. Despite adopting AI, many report that results have been minimal, and instead, work complexity and fatigue have only increased. The reason is simple: we are essentially attaching a navigation system to a horse-drawn carriage.

Mounting the latest navigation system on a carriage does not turn it into an automobile. While the directions may become more precise, it remains a horse-drawn carriage. This is how many organizations today are approaching AI. They leave their organizational functions, structures, and work processes unchanged, merely layering AI automation tools on top.

Ultimately, what is needed is not just the introduction of technology, but organizational change that can drive enterprise-wide innovation. Without fundamental organizational transformation, AI adoption becomes nothing more than a "high-tech ornament." As global consulting reports commonly point out, the most critical factor determining the success or failure of AI transformation is not technology itself, but "organizational culture." Overlooking this exponentially increases the risk of transition failure.

AI is not a simple tool; it is a technology that operates on the premise of system transformation. If you simply add algorithms while leaving existing procedures and rules intact, AI will not spark innovation but will instead reinforce the inefficiencies of the current system. For example, while AI may speed up report writing, if the approval process remains unchanged, the overall work speed does not improve. The carriage remains a carriage, and the navigation system is merely attached.

The situation is much the same in education, healthcare, and administration. Schools have introduced AI learning tools, but their assessment methods remain stuck in the past. Hospitals have adopted AI-assisted diagnostic technologies, but without changes to decision-making systems, improvements in efficiency are limited. Administrative agencies have built AI-based civil service systems, but with analog personnel management and decision structures in the background, the public hardly feels any difference. This is not a technological issue, but a problem of system design.

True innovation in the AI era does not end with the adoption of technology. It begins with fundamentally redesigning the purpose, flow, and responsibility structure of work. No real change will occur if you simply add AI automation tools to work systems that have remained unchanged for decades. Technology should not be a device to supplement existing methods, but the starting point for new ways of working. This is what true "transformation" means.

Innovation is not about acquiring new technology, but about creating organizations and systems in which that technology can function properly. The transition from the era of carriages to automobiles did not happen just because the engine was invented, but because road systems, fuel supply chains, driving rules, insurance systems, and urban design all changed together. The same is true in the AI era. The technology has already arrived. Now, what must change is our "approach."

Attaching a navigation system to a carriage does not bring about innovation. The question we need to ask now is simple: will we retrofit the carriage, or will we switch to an automobile? In the AI era, the winners will not be organizations that merely possess technology, but those that can restructure themselves to fit the technology.

Suh Yongseok, Professor at KAIST Graduate School of Future Strategy

This content was produced with the assistance of AI translation services.