Korean enterprises' AI trust gap plummets from 28.9 points to 1.5 points in one year
Published2026.09.30 10:03
Korean enterprises' AI trust gap has narrowed by 27.4 points over the past year. Governance framework establishment has progressed rapidly, but data quality and AI decision-making explainability remain at inadequate levels. Enterprises with reliable AI systems were found to be 15 times more likely to achieve their target investment ROI compared to those without such systems.This survey was conducted with 2,699 business and IT decision-makers across 28 countries worldwide, analyzing AI utilization status and trust-building levels primarily in banking, insurance, life sciences, and public sectors.
Trust gap refers to the difference between the trust level in AI that enterprises perceive and their actual management capabilities.
Korea's perceived trust decreased from 73.9 points to 58.6 points, while actual management capabilities increased from 45 points to 57.1 points, with the two indicators nearly converging.
Among these, the 'Model Governance and Oversight' category at 55.8 points showed the largest improvement with a 9.3-point increase compared to the previous year.
The proportion of Korean enterprises mandatorily applying data quality management procedures to all projects was only 1.9%.
The proportion of Korean enterprises that have adopted 'Agentic AI,' which independently makes judgments and takes actions, reaches 42.6%, while only 17.5% of enterprises globally possess data infrastructure commensurate with agentic AI levels.
The primary reason users modify AI recommendations was identified as 'AI's inability to explain its decision rationale.'
Enterprises with optimized data infrastructure were 4 times more likely to achieve higher ROI compared to those without.
Lee Jung-hyuk, CEO of SAS Korea, said, "In line with governance establishment, it is an important task to explain AI's decision rationale and complete data foundations with accuracy and reproducibility."
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