HRD Trends · Next-Year Corporate Training Trends
HRD Trends
What are HRD trends?
- Trends explain courses; they don’t pick them
- Never cite figures without source, date, and survey population
- Reflect trends in this order: diagnose, select, pilot
What reading HRD trends actually changes is the “Why this course?” column of next year’s training plan. Executives ask why you are running the same courses again and why you are adding new ones, and trends supply outside evidence for those answers. But a trend report’s job is not to choose courses for you. Your company’s strategic priorities and competency gaps come first; trends are a map you consult when choosing how and on what topics to address them. Adding courses because of a trend is different from using a trend to explain a course.
Four themes recur in corporate training discussions of recent years. First, the use of generative AI in producing training content and supporting learning, alongside employees’ own AI skills becoming a training topic in themselves. Second, a skills-based approach that defines competencies by skill rather than job role and matches training to them. Third, a shift in delivery from long classroom training to short-unit learning and learning in the flow of work. Fourth, a change in evaluation, demanding on-the-job application and performance linkage instead of satisfaction scores. These four are directions, not numbers; a particular organization’s 'No. 1 trend for next year' or adoption percentage varies with survey population and timing, so rather than quoting them as is, note the source and survey scope. In Korea, regulatory and organizational culture factors overlap—expanded statutory training, safety training under the Serious Accidents Punishment Act, communication across generations—so some points differ from global reports.
To reflect trends in next year’s plan, follow this order: diagnose, select, pilot. Start by writing down the challenges that came out of your organizational diagnosis or competency gap analysis, pick only the trends that help solve them, then run a pilot course in one or two departments and expand once you see results rather than rolling out company-wide. In the training plan, don’t write 'because it’s a trend.' Write 'why this approach fits a specific problem at our company,' and you will be ready for executive questions. Keep trend information as a one-line summary noting source, publication date, and survey population so you can reuse it next year.
Where plans most often go wrong is when a trend keyword becomes a course title. A team adds 'AI literacy training for all employees' regardless of competency gaps, and when application rates are low the next year, it concludes the trend was wrong. Quoting numbers from external reports as if they described your own company is another common mistake; when executives ask, 'Does that figure apply to us?', you have no answer. Chase each year’s new trend and swap courses, and nothing accumulates, so three years later you are repeating the same introductory course. Ignore trends and run a ten-year-old course list, and sign-ups among younger employees drop first. Keep to this order and your plan holds steady: your own challenges set the standard, and trends are options for solving them.
Junyoung NohConsumer and generational trend analyst & AI content marketing expert
John KimInstructor John Kim, author of B2B Marketing Design and CEO of Nanum ConsultingTraining institutes and consulting firms now routinely publish next-year outlooks at year-end, and these forecasts have become part of training teams’ annual planning. A trend does not come from a single source; it emerges from multiple surveys and field observations, and its content varies by research organization and timing.
Consider a hypothetical case. The training team at Company A, a chemical manufacturer with 900 employees, put 'AI literacy for all employees' in last year’s plan and trained 850 people. In a survey six months later, only 12% said they were using it at work. When submitting next year’s plan this November, the CEO told the team: 'This time, let’s start with our own problems, not fads.'
- Training manager Oh first listed the five issues from the September organizational diagnosis, then read three external trend reports and pulled into a table only the items that touched those issues.
- Figures in the report such as “AI adoption rate of X%” were kept only as footnotes naming the research firm and date, and cut from the main text. Manager Oh told the team lead, “If someone asks whether that number describes our company, we have no answer.”
- The skills-based approach was scaled down from a company-wide rollout to a pilot of job-skill mapping and customized courses for 40 people in quality control, and AI training was redesigned as hands-on practice tied to actual report-writing work in production planning and purchasing.
- When the CEO asked in the executive briefing, “Why start with this department?”, Manager Oh showed the competency-gap figures from the diagnosis alongside quotes from the department head interview. The trend appeared only on the second line of the rationale column.
- In next year’s plan, the number of courses fell from 14 to 11, yet the full requested budget was approved. The first-half on-the-job application target for the two pilot departments was set at 50% instead of 12%.