KEA report: only 11.7% of Korean electronics firms use AI
The association's report cites a supplier's AI vision inspection line and a device maker that cut development time, despite low adoption.
The Korea Electronics Association (KEA) published a report titled "AI Utilization and Job Changes in the Electronics Industry Field" on November 8, 2026, examining how AI is being deployed on Korean electronics production lines and what it means for workers, according to etnews.com.
In the report, a domestic home appliance manufacturer referred to as Company A introduced an AI vision inspection system on its refrigerator door production line that automates quality inspection. Cameras photograph the four corners of each door and the AI judges defects such as dents. Two workers who had performed visual inspection were reassigned to other processes, and quality control staff moved from inspecting products directly to checking AI results and investigating the causes of defects.
The system required upkeep: Company A had to adjust camera positions and inspection criteria and secure additional training data whenever models or specifications changed.
Time savings elsewhere
Company B, which develops home appliance control devices, cut product development time from about three months to three weeks to one month by using AI for circuit design and part selection. Company C reduced the share of code its developers write themselves to under 10% by automating code writing and review with AI.
Adoption remains limited. According to KEA's survey, only 11.7% of electronics businesses currently use AI, while 67.9% have no plans to use it. The association called for expanded hands-on AI training and workforce development programs.
Quick answers
How many Korean electronics companies use AI?
According to the Korea Electronics Association's survey, 11.7% of electronics businesses currently use AI, and 67.9% have no plans to use it.
What did the KEA report examine?
The report, titled "AI Utilization and Job Changes in the Electronics Industry Field," looked at AI use on production lines and the resulting changes in job roles, citing three unnamed companies as examples.