80% of South Korean Workers Fear Falling Behind in AI Era
Translated from Korean, summarized and contextualized by DistantNews.
At a glance
- Eight out of ten South Korean office workers fear falling behind in the AI era if they don't adapt quickly.
- This anxiety is higher than the global average, yet the adoption of AI within organizations lags behind international benchmarks.
- The situation reveals a paradox where individual willingness to use AI is high, but organizational changes in culture and leadership are slow.
A significant majority of South Korean office workers, approximately 80%, express deep concern about being left behind in the rapidly evolving artificial intelligence era. This anxiety surpasses the global average, highlighting a pronounced sense of urgency among the Korean workforce regarding AI adoption.
Despite this high level of individual apprehension, the report indicates that the actual implementation and integration of AI within South Korean organizations are lagging. The '2026 Future of Work Index,' based on a survey of 20,000 knowledge workers across 10 countries by Microsoft, reveals that while 78% of Korean respondents feared falling behind, only 16% felt their organization's leadership provided clear and consistent direction on AI. This figure is considerably lower than the global average of 26%.
The findings suggest a 'paradox of AI transformation' in South Korea. While employees show a growing willingness to leverage AI tools in their work, the necessary shifts in organizational culture, leadership support, and reward systems are not keeping pace. Only a small percentage of Korean respondents felt that innovation through AI, even without immediate measurable results, is adequately recognized or rewarded within their companies, compared to global averages.
This gap between individual readiness and organizational preparedness could hinder South Korea's ability to fully capitalize on AI's potential. Addressing this requires a more proactive approach from leadership to foster an AI-ready environment, encouraging experimentation and adapting performance metrics to support AI-driven innovation.
Originally published by Dong-A Ilbo in Korean. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.