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Korea’s Hyundai Card boosts internal Gen AI use with hands-on training for leaders

Korea’s Hyundai Card boosts internal Gen AI use with hands-on training for leaders

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  • Targeted at team leaders and executives, the LLM programme allowed leaders to directly operate tools and complete real tasks.
  • Vice Chairman and CEO Ted Chung set the tone by personally participating in the training sessions.
  • The company expects the initiative to accelerate AI integration across multiple business areas, including HR.

Korea’s card issuer Hyundai Card is accelerating the internal adoption of generative AI (Gen AI) by conducting Large Language Model (LLM) training for its leadership group – specifically team leaders across business departments and senior executives.

Unlike the common practice in Korea where such training is directed mainly at working-level staff or developer groups, Hyundai Card is taking a deliberate top-down approach, aiming to empower leaders to understand and actively use Gen AI so they can spearhead change across their teams.

“The rationale is clear,” the company explained in a statement shared with HRO.

“Successfully adopting LLM is not just about implementing a new IT tool; it requires a fundamental, company-wide shift in work methodologies. The company believes that Gen AI will take root across the organisation if the leaders spearheading these changes understand the technology, use it firsthand, and fully trust its capabilities.”

Since last month, more than 260 leaders from all departments have participated in one of seven training sessions held to date. Leading by example was Ted Chung, Vice Chairman and CEO of Hyundai Card (pictured above).

In an earlier interview with McKinsey & Company, Chung highlighted that digital transformation requires more than just developers and engineers – it also depends on leaders and project managers who drive and communicate change.

After attending a training session himself, he wrote on social media: “All Hyundai Card leadership is required to complete a four-hour vibe coding class. Although most of the leaders will not directly need to use vibe coding in their day-to-day work, this programme was initiated so that the leaders can understand the basic principles to support communication with their respective teams.”

Another distinctive feature of Hyundai Card’s LLM training programme is its practical, task-focused curriculum. Instead of theoretical overviews of AI trends, the course enabled leaders to directly experiment with widely-used LLM tools and complete tasks tied to their actual daily responsibilities. During the training, participants:

  • curated keyword-based news and drafted briefing materials using various LLM tools
  • summarised extensive documents, such as academic papers and reports, to generate mind maps and structure presentation materials
  • leveraged vibe coding to build web pages and apps
  • learned to automate workflows by integrating AI with existing documentation tools like Excel

Advanced, hands-on exercises were also tailored to the specific functions of each team, such as developing an HR assistant chatbot. To mitigate security concerns, Hyundai Card used dummy data that mirrored the structure of the company’s actual datasets.

Chung added that once all leaders have completed training, it will be opened to employees across all levels.

This leadership-focused LLM training is part of Hyundai Card’s broader initiative to enable executives and employees across all business areas to fully master Gen AI. The company anticipates this initiative to significantly expand the scope of its AI utilisation.

“We expect the upgraded initiative will enable the company to broaden our AI integration into diverse fields, including design, legal affairs, HR, and PR. Ultimately, this move strongly aligns with Hyundai Card’s overarching strategy to ‘strengthen internal capabilities’ based on AI and data science,” the statement read.

“This will not end as a one-off programme – we will continue to conduct training and agilely respond to rapidly evolving AI technologies and to accelerate the utilisation of AI across all our business areas.”


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