AI and Data Are Tools; Ultimately, the Person Who Defines the Problem Creates the Results [Opinion/Choi Dong-doo]

While AI and data technologies rapidly proliferate, many organizations struggle to realize their expected benefits. The key differentiator between successful and unsuccessful implementations lies not in the technology itself, but in the approach to defining problems, according to this opinion piece.

AI is presented as a means to efficiently solve pre-defined problems, rather than an entity that generates answers independently. Without clear criteria for what needs to be solved, even sophisticated AI tools can lead to scattered or ineffective outcomes. Organizations that merely adopt AI for simple automation or trend-following often see initial interest wane quickly.

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AI is a means to efficiently solve pre-defined problems, rather than an entity that generates answers independently.

Conversely, high-achieving organizations begin by dissecting the challenges they face into specific, manageable tasks. They then focus on how data can illuminate these issues, positioning AI as an execution tool rather than the primary driver. This strategic framing is central to the concept of 'AX' or AI Transformation, which involves fundamentally restructuring problem-solving and decision-making frameworks.

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Especially in the 'Corporate Economics Management Strategy' class, the explanation that business is a process of 'capturing opportunities with economic insight, calculating efficiency with management economics, setting direction with management strategy, and realizing it through management' was impressive.

Ha Sung-yong, a fellow at Korea University of Technology and Education's Graduate School of Business Administration, noted this shift during his studies. He found the perspective that business integrates economic insights for opportunity, management economics for efficiency, strategic management for direction, and general management for realization particularly impactful. This structured approach, combined with AI, broadens the view on tackling business problems.

Ultimately, competitive advantage in an era of widespread AI adoption will depend less on the technology implemented and more on the quality of questions asked. Successful organizations prioritize redefining problems over simply adopting new tools, demonstrating that the starting point, how challenges are framed, determines the direction and success of outcomes.

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Ultimately, competitive advantage in an era of widespread AI adoption will depend less on the technology implemented and more on the quality of questions asked.