The Future of AI Enabled Health 2025

Three key challenges that must be overcome to implement AI at scale FIGURE 4 Fragmented, outdated regulations that hinder AI innovation— Difficulty of building trust within a complex ecosystem— Lack of understanding of AI’ s value in health— Complexities in securing Al financing— Fragmented coor dination of AI implementation in health—Complexity of AI in health deterring policy-makers and business leaders Inequitable access to AI health solutions due to inadequate DPIs— Limited digital literacy ef forts for leaders and decision-makers—Misalignment of technical choices with strategic visions Low confidence in AI within a fragmented regulatory and governance framework Source: Digital Healthcare Transformation Initiative dialogues, Boston Consulting Group and World Economic Forum analysisBeyond these structural constraints, experts identified three core challenges that can be overcome, particularly through collaboration between the public and private sectors: 1. Complexity of AI in health deterring policy- makers and business leaders: Despite a perception that AI in health is attracting significant attention and energy, it is difficult to prioritize on political and strategic agendas for both the private and public sectors. This challenge stems from the lack of a clear and compelling strategy that aligns AI initiatives with broader health goals and political priorities. 2. Misalignment of technical choices with strategic visions: Public leaders often fail to integrate technology effectively into their vision for health, delegating technical decisions entirely to chief technology officers (CTOs) and other technical experts. This neglect leads to missed opportunities for using AI to enhance healthcare delivery and outcomes. 3. Low confidence in AI within a fragmented regulatory and governance framework: As AI technology becomes more prevalent in health, there is a growing concern about its impact, leading to increased distrust. This challenge reflects the need for transparent and accountable AI systems to build and maintain public trust. By addressing these challenges, stakeholders can unlock the full potential of AI to transform global health, ensuring resilient, efficient and equitable health systems for all. The Future of AI-Enabled Health: Leading the Way 12