Measurable impacts for the 2025 cohorts of MINDS organizations Organization name Application Impact Impact categories Economic Environmental Social Ant Group Multimodal AI platform for clinical decision support and medical consultation servicesOver 90% auxiliary diagnostic accuracy 80% reduction in literature search time Serving 160 million users/nearly 1 million doctors/over 5,000 institutions Black Lake Technologies AI-driven coordination platform for flexible manufacturing18% increase in use Cycle time reduced from 6–12 to 1–3 months Minimum order size reduced from 10,000 to 100 units CATL (Contemporary Amperex Technology) and AIMS (Hangzhou Augmented Intelligence Manufacturing Solution)Data-efficient industrial AI systems for manufacturing decision intelligence50% reduction in quality variation 50% decrease in operator workload Faster production EXL Services Automated AI platform for digital transformation and process migrationOver 80% reduction in manual effort for code assessment and discovery 70–80% reduction in manual effort for code conversion 20–40% reduction in overall project cost 30–40% increase in code performance optimization Foxconn and Boston Consulting Group (BCG)Self-learning AI factory systems for electronics manufacturing optimization50% reduction in workload related to changeover 30% decrease in problem resolution time Approximate 10% decrease in cycle time Fujitsu Real-time AI optimization for resilient and efficient supply chain operations$15 million decrease in annual inventory cost $20 million decrease in stock Faster disruption assessment Hitachi Rail AI-powered digital asset management platform for rail operations and maintenanceApproximate 20% reduction in service delays Approximate 15% reduction in maintenance costs Horizon Power and TerraQuantaAI forecasting models for energy trading and market optimization50,000 times more efficient compared to traditional Used across a 2,000-gigawatt-hour (GWh) trading portfolio Hyundai and DEEPX Ultra-efficient on-device AI for autonomous robotics Achieved a 240% increase in performance compared to graphics processing units (GPUs), while consuming only one-eighth of the energy Up to 90% total cost of ownership (TCO) reduction (energy and operations) Industrial and Commercial Bank of China (ICBC)AI infrastructure for over 20 financial business domainsOver 400,000 users; used daily by 20,000 staff 50,000 person-years of workload handled KPMG and SAP AI copilot for acceleration of enterprise resource planning (ERP) projects and cloud transformation1.5 hours a day in consultant time saved Reduced coding mistakes that required rework by 50% (15% → 7.5%) Projects delivered 18% faster Lenovo Resilient global operations with an AI-driven supply chain agentDisruptions flagged up to two weeks earlier 5% increase in “on-time in-full” (OTIF) to increase customer satisfaction Decision-making time reduced by 50–60% PepsiCo 3D vision on edge machines for smart factory operations0.15% waste reduction in a high-precision context Over $100,000 annual savings per lineGeographical distribution and measurable impacts of 2025 MINDS organizations (continued) FIGURE 2 Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations 9

Proof over Promise Insights on Real World AI Adoption from 2025 MINDS Organizations 2026