SPOTLIGHT 1 Social Medical Corporation Genshukai partners with Fujitsu to build the future of hospitals with AI agents Japan’s healthcare system faces deep structural challenges. More than 60% of medical institutions operate at a deficit, and staff shortages driven by demographic change threaten care quality and accessibility, especially in rural areas.3 Social medical corporation Genshukai, a leading regional healthcare provider in Japan, aims to transform hospitals into hubs of medical excellence, human connection and sustainable management. Genshukai partnered with Fujitsu to apply AI to the most complex aspects of hospital management. Fujitsu deploys specialized AI agents to tackle critical issues, enforcing medical record standards, optimizing bed allocation and improving coordination with referring facilities. These agents work collaboratively to streamline resources and enhance the patient and staff experience from admission to discharge.Impact: By embedding AI into the organization’s operating model rather than treating it as a short-term fix, Genshukai and Fujitsu demonstrate how technology can serve a long-term purpose: strengthening healthcare resilience and sustainability. Because the region’s medical services harness a common system, the approach is highly scalable (over 8,000 medical institutions). Financial sustainability and operational efficiency have improved – e.g. through measurable gains in cost savings (approximately $7,000), revenue uplift (approximately 10%) and hours saved across hospital management (approximately 400 hours per month). Several MINDS have adopted this vision-led approach to reinvent discovery processes in areas such as pharmaceuticals and materials discovery, bringing functional leaps, innovation and efficiency that traditional research methods cannot yet deliver. Rethinking scientific discovery BOX 1 Deep Principle designed its research platform to power the future of chemical discovery. Rather than simply generating AI point solutions for tasks within the existing research process, it has created a modular intelligence system to deliver expert reasoning across a complete, reimagined research life cycle. This mindset shift enables broader thinking and impact – applying AI against the current limitations of scientific discovery to redesign it. Additional value is unlocked when AI is treated as an enterprise-wide capability To offer employees secure, centralized ways to innovate with AI, organizations are building shared AI infrastructure that serves the entire business. Organizations like the Industrial and Commercial Bank of China (ICBC) are integrating AI into their core systems so it supports everything from operations to innovation, allowing teams to experiment, learn and scale solutions more efficiently (see Spotlight 2). This shift marks a higher level of AI maturity; AI is now a core enterprise capability, driving continuous improvement, innovation and long-term growth rather than being limited to one-off pilots. SPOTLIGHT 2 ICBC builds AI as a foundation for innovative transformation Even as AI technologies advance rapidly, their use in finance has remained limited by complex infrastructure, strict regulatory requirements and fragmented scenario- specific applications. ICBC’s transformation began with the development of a 100-billion-parameter financial language model, created to enable a more integrated and intelligent way of working across the organization. Building on this foundation, ICBC now applies AI across more than 20 business domains – including credit, risk management, marketing and financial markets – through a centralized AI platform that enables the rapid deployment of specialized agents within minutes. Impact: Validated by more than 10 global financial certification benchmarks, ICBC’s AI platform has handled a cumulative 50,000 person-years of workload through evolving intelligent office models, revolutionizing transaction processing workflow and upgrading financial business tools. Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations 13

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