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Survey Finds 93.5% of Firms Run Generative AI Training for New Hires

The survey identifies a structural gap where trainers who see the best results are the most dissatisfied with their own training programs, pointing to trainer AI literacy and standardized evaluation as the next bottlenecks.

Reporting from 1 source: ASCII.jp.

Survey Finds 93.5% of Firms Run Generative AI Training for New Hires

GUGA surveyed 1,014 corporate training staff on generative AI programs for new graduates. The survey found 93.5% of companies run such training, but only 38.5% train all new hires. Risk topics ranked first at 49.6%. While 65.4% rate post-training AI literacy as high, trainers who rate it very high report stronger concerns about course design, a pattern GUGA calls the AI Native Paradox.

GUGA, a general incorporated association promoting generative AI implementation, released survey results from 1,014 employees responsible for AI training at their companies. The data shows generative AI training has become standard for new graduate onboarding, yet the rollout remains uneven: 55.1% of companies limit training to specific departments, trial groups, or partial coverage.

The content priorities skew toward safety over skill. Risk topics lead at 49.6%, followed by basic knowledge at 48.7% and internal rules at 48.2%. Concerns about copyright infringement, misinformation, and data leaks are consistent across regions and company sizes, while shadow AI and declining reasoning ability show larger gaps between large and small firms.

Synthesized by Yomimono from the 1 cited source below, including Japanese-language reporting where cited, then editorially reviewed before publishing.

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