HRD in Korea: train staff to use AI, redefine skills, match motivation

This guide is for HR and training managers in Korean companies, and for foreign managers who run training for Korean teams. The author picks three keywords for human resource development (HRD, 인적자원개발): AI, skills and motivation. Survey figures are from 2024~2026.

Why HRD is changing

Business uncertainty, fast technology change, new ways of training and a generational change in the workforce are pushing HR teams to rethink how they work. The author argues that HRD should grow from designing training programs into a business partner that builds the organization's core capabilities. The three keywords are linked: AI demands new skills, and learning new skills depends on motivation.

Recent Korean data show why. In a July 2026 survey of 1,482 workers (382 training staff and 1,100 other employees) by the Korea Productivity Center (한국생산성본부, KPC), 95% said AI tools made them more productive, and 57% said AI cut their working time by 30% or more (91% said by 10% or more). Only 56% said AI had changed the way their organization works, a gap of 39 percentage points. KPC named three HRD keywords for 2027: AI-driven work redesign, human-centered skills and future-ready leadership.

Keyword 1: pair AI tools with training

The author describes a common scene. A marketing team gets a new AI platform for customer analysis but cannot interpret the customer segments it produces, and a product planning team quotes an AI-generated competitor analysis in a report without noticing it is inaccurate. When a company focuses on buying AI tools and neglects practical training, productivity can fall instead of rising.

Surveys show the same gap between expectations and practice. A 2024 study by the Upwork Research Institute, covering 2,500 workers in the United States, the United Kingdom, Australia and Canada, found that 96% of C-suite leaders expected AI tools to raise productivity. Yet 47% of employees using AI said they had no idea how to achieve the productivity gains their employers expected, and 77% said AI tools had lowered their productivity and added to their workload in at least one way.

In Korea, AI is already a daily tool. In KPC's 2026 survey, 62% used AI every day and another 30% once or twice a week, 92% in total. The most common uses were content creation, data analysis and visualization, and information search. Training staff used AI most for content creation (61.5%) and data analysis (61.0%), other employees for information search (69%). About two in three (67.5%) had received AI training, while 32.5% had not.

HRD teams can close this gap with hands-on training and clear guidelines on using AI in each job.

Keyword 2: redefine skills for fast-changing work

The author gives a typical result of a skills review: developers with more than 10 years' experience may understand the latest cloud and AI development frameworks less well than new hires, while being much stronger in soft skills such as communication and problem solving. The same shift is under way in finance, marketing and sales. A finance employee now needs data analysis and AI tool skills on top of accounting knowledge.

KPC's 2025 HRD Trend Report, based on a 2024 survey of 771 workers and corporate training staff, ranked the most pressing AI-related training issues:

Each of the top four was chosen by more than 40% of respondents.

Keyword 3: motivation fit

Motivation fit means how well what drives each person matches the rewards and recognition the organization offers. The author contrasts two teams doing the same work: one is motivated with performance bonuses and promotion chances, the other with flexible working, support for self-development and a free choice of projects. The author argues that the second approach can bring higher productivity and lower turnover.

The reason, in the author's view, is that many employees worry AI may threaten their jobs, and external rewards alone do little to ease that worry. HRD should address anxieties such as falling efficiency while people learn AI tools or doubts about whether AI adoption pays off, and it should build intrinsic motivation.

Two obstacles to watch

• A weak basic understanding of AI. Many employees do not understand how AI works and struggle with the tools. Without that understanding they cannot apply AI to real work, and practical process innovation slows down.
• Uneven AI skills across jobs and too little tailored training. AI skills vary widely by job, and demand for job-specific AI training is rising. Many employees feel their company offers too little systematic training or information sharing, which weakens their motivation to learn.

Korean rules that touch training budgets

Employers in Korea already pay for training through employment insurance (고용보험). The employer alone pays the premium for the employment stability and vocational skills development programs (고용안정·직업능력개발사업):

Some workplace training is also required by law. See Korea's five mandatory workplace training duties vary by industry and size.

Checklist

• Pair every AI tool rollout with job-specific training and usage guidelines.
• Review the skills each role needs, including data and AI skills, and plan upskilling.
• Check how well your rewards match what motivates your staff: pay, flexibility, learning support and choice of work.
• Talk openly about fears around AI and build intrinsic motivation.
• Measure whether training changes how teams work, in addition to individual productivity.
• Position HRD as a strategic partner in the business.