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

MINDS organizations are also strategically introducing AI in situations where shortages of expert talent are limiting progress. This offers another path to scale the impact of critical and resource-limited expert knowledge. AI-driven chip design BOX 5 AI-enabled cervical cancer screening in remote areas BOX 6 AI-assisted diabetic foot detection BOX 7In semiconductor chip design, where human ingenuity is essential but talent shortages threaten progress, AMD is harnessing Synopsys’ reinforcement learning and agentic workflows to take on more execution tasks, maximizing the knowledge and time of expert engineers. Their approach has doubled the speed for chip design, expanding the range of viable solutions and reducing time to market. In healthcare, Landing Med’s AI-enabled cervical cancer screening addresses a shortage of experts; there are fewer than 10 pathologists per million people to handle cervical cancer screenings in China. By triaging first-line sample reviews with AI and routing edge cases to experts, the system now covers 91% of the country’s remote regions, improving early detection and expanding the reach of critical expertise. The Ministry of Health of Saudi Arabia is partnering with Amplifai Health to deploy an AI- powered thermal imaging solution for diabetic foot screening, addressing a rapidly growing challenge where the number of specialized professionals cannot meet national demand. The innovation delivers a 10 times increase in screening capacity, effectively bridging the podiatry workforce gap by enabling nurses to conduct AI-assisted screenings while specialists focus on high-risk cases, and reducing treatment costs by up to 80%. The solution has been validated through clinical trials and approved by regulatory authorities in Saudi Arabia, Bahrain and the United Arab Emirates. Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations 16