[AI x HR Expert Column] ① As AI Takes on More Work, What Should Humans Do?

The Future Competitiveness of Talent Lies in Defining Problems and Creating Value

[Original Column] The Korea Daily - Expert Column Article

Written by Stella H. Kim, SPHR

Published October 15, 2026

Just a few years ago, report writing, market analysis, and talent evaluation required significant time and resources. Today, AI can perform many of these tasks within minutes, providing not only analytical results but also the reasoning behind its assessments. As AI continues to take on more work at greater speed, the question we should be asking is not simply whether jobs will disappear, but how we must redefine the role and value of people in an increasingly AI-driven world.

Stella H. Kim, SPHR, CEO & President of HRCap, Inc.

According to Microsoft's 2025 Work Trend Index, 80% of workers and business leaders reported lacking sufficient time or energy, while 53% of business leaders said productivity needed to improve. Additionally, 81% of leaders expected AI agents to be substantially integrated into their organizational strategies within the next 12 to 18 months. Yet even as technology helps address workforce and time constraints, speed alone does not determine competitiveness.

This transformation is already reshaping the HR landscape. Drawing on 26 years of global HR expertise, HRCap has developed proprietary AI technology that brings practical industry knowledge into talent assessment. Our CAP AI™ solution can analyze a resume in approximately 1.5 seconds, assess job fit, and provide the rationale behind its evaluations, helping our clients accelerate their recruitment processes. Moving beyond basic keyword matching, CAP AI™ examines the context of professional experience and organizes relevant information for further review. This reflects a broader shift in talent assessment, from identifying keywords to understanding how a candidate's experience aligns with the requirements of a role.

One critical point must not be overlooked: AI can execute poorly defined criteria quickly and consistently. Without clearly defining the problem to be solved, identifying reliable data, and determining who is responsible for handling exceptions, efficiency gains can instead amplify errors. Processing speed and decision quality are not the same measure.

The reason outcomes differ even when organizations adopt the same AI technology lies less in the technology itself than in their ability to understand the realities of their work and continuously improve their decision-making criteria.

Therefore, the key to AI transformation is not simply adopting tools, but redesigning how work is structured. Organizations must clearly determine not only which tasks to delegate to AI, but also where human review is needed, who makes the final decisions, and how the time gained should be invested to create value. Technology becomes a sustainable competitive advantage when the time and resources saved are redirected toward understanding customers, developing strategy, strengthening collaboration across teams, and cultivating talent. As less time is spent finding and organizing information, the ability to interpret and apply the results becomes increasingly valuable.

Change is also necessary at the individual level. Knowing more and working faster are no longer enough. Professionals must understand the context of their work, formulate precise questions, and identify risks and opportunities that data alone cannot explain. Without a deep understanding of their own fields, they may struggle even to assess whether AI-generated answers are valid. Ultimately, AI proficiency is not simply about knowing how to use a tool. It requires a combination of professional expertise, critical thinking, and communication skills that bring people and organizations together to take action.

In the AI era, competitiveness depends less on how much work can be completed quickly and more on which new problems we solve and the tangible value we create. As technology takes on more of the work that once occupied our time, we must look further ahead and think more deeply. With AI generating countless answers and opening up new possibilities, we must shape the future through the questions we ask and turn possibilities into reality through the choices we make. Putting those answers into action is an essential responsibility for all of us who will shape the AI era.

Stella H. Kim, SPHR

CEO & President, HRCap, Inc.

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About Our CEO & President

Stella H. Kim is Chief Executive Officer and President of HRCap, Inc., a Global HR Intelligence Partner specializing in Executive Intelligence, HR Consulting Intelligence, and AI Platform Intelligence to support growth-stage companies, multinational corporations, and global

organizations navigating workforce strategy, cross-border hiring, and organizational localization.

Over the past decade, she has led the firm’s evolution from a traditional recruiting partner into an integrated HR intelligence platform, bringing together consulting, executive search, and AI-enabled talent solutions to help organizations navigate expansion across the United States and international markets. Her work focuses on how companies build sustainable teams, leadership pipelines, and culturally responsive operating models in complex global environments.

A 1.5 Generation Korean American women executive and Forbes HR Council member, Stella’s leadership reflects a commitment to legacy, magnetism, and connection as guiding principles for organizational growth. She frequently writes expert columns and speaks on workforce localization, leadership development, and the intersection of culture and business, exploring how institutions and communities shape one another over time.

Through her AI x HR Expert Column series, Stella shares executive leadership perspectives and real-world insights on AI, HR, and global business, connecting practical applications with responsible implementation and long-term organizational growth.

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