Unveiling the AI-Aided Potential Discovery
On July 24, 2026, Village AI, based in Kagoshima, and Infinite Mind, in collaboration with cognitive researcher Hiroshi Mounai from Ochanomizu University, introduced an innovative assessment tool designed to uncover hidden talents in the workforce. Amid the ongoing digital transformation (DX) in Japan, this new service, the AI Aptitude Diagnostic, aims to bridge the gap in AI skill shortages that 85.1% of companies have reported, according to the IPA’s "DX Trends 2025" survey.
The Challenge of DX: Identifying the Right Talent
As the challenges of DX unfold, companies are increasingly facing the dilemma of not just needing AI expertise but also knowing how to cultivate it. The rapid adoption of generative AI, which has reached 41.2% of enterprises as of February 2025, stresses the urgency for organizations to rethink how they evaluate potential hires. Many businesses currently focus on existing AI capabilities rather than assessing which candidates possess intrinsic qualities that indicate future growth in AI proficiency.
Recent findings in cognitive science suggest that adaptability—such as flexible thinking, rapid pattern recognition, and the ability to thrive in new environments—are crucial traits for success in an AI-driven landscape. This aligns perfectly with the new aptitude diagnostic, aimed at assessing these underlying cognitive traits rather than just academic credentials or existing job titles.
Features of the New Assessment Service
1.
Cognitive Assessment Based on Neuroscience
The AI Aptitude Diagnostic leverages a three-tier assessment structure, incorporating insights from cognitive neuroscience. Developed under the oversight of Hiroshi Mounai, the evaluation measures:
- Fluid intelligence and processing speed at the cognitive base level;
- Metacognition and learning responsiveness at the behavioral adaptation level;
- Problem detection and cognitive flexibility at the application level.
This comprehensive evaluation provides a scientific foundation for assessing adaptability in AI environments.
2.
Inclusivity Across Diverse Backgrounds
One of the significant advancements of this service is its equitable approach; it assesses individuals from various backgrounds—students, recent graduates, career changers, and managers—without bias towards current skills or educational achievements. This opens pathways for organizations to uncover talent suited for future roles in AI and tech-driven environments without prejudice.
Service Summary
- - Service Name: AI Aptitude Diagnostic
- - Providers: Village AI in partnership with Infinite Mind, and academic supervision from Hiroshi Mounai
- - Measurement Components: Fluid intelligence, processing speed, metacognitive ability, and more, divided into three cognitive tiers
- - Duration: Approximately 45 minutes
- - Launch Date: July 24, 2026
- - Target Audience: Corporations focused on DX, talent development, and training solutions
- - Pricing: ¥50,000 (tax-excluded) for the first assessment, with an additional fee of ¥5,000 per person for groups
- - Format: Online assessment via a contracted service
- - Output: Individual reports detailing strengths and development areas
- - Website: AI Aptitude Diagnostic
Profiles of the Academic Supervisor and Companies Involved
Hiroshi Mounai is an assistant professor at Ochanomizu University specializing in neurophysiology and biophysics, aiming to bridge basic and applied research. He has received numerous accolades for his contributions to understanding cognitive functions and their implications in technology-enhanced contexts.
Village AI, led by CEO Yohei Sato, specializes in AI data analysis and the cultivation of DX talent, striving to partner with major sectors to facilitate seamless AI integration.
Infinite Mind, supervised by CEO Yuki Hata, is focused on cognitive training programs with the objective of enhancing organizational intelligence through scientific assessments and training.
Final Comments
Yohei Sato from Village AI expressed, "In the fray of DX advocacy, identifying the right AI talent remains an unsolved obstacle. Our assessment serves as a crucial tool to reveal unrecognized potential within organizations."
Yuki Hata echoed this sentiment, highlighting the need for assessments that adapt to the emerging AI collaboration landscape.
As organizations prepare for the AI-driven future, the AI Aptitude Diagnostic presents a promising step towards identifying and nurturing the talent required to thrive in this evolving digital economy.