The Future of AI Enabled Health 2025

Despite its transformative potential and the various use cases and stakeholders involved in the field, the potential of AI in healthcare has yet to be fully realized. Adoption at scale has been below global average, compared to other industries (Figure 3).1.2 Industry adoption Healthcare data and AI maturity is below global average FIGURE 3 Source: 2024 BCG Data and AI Capability Maturity Assessment (DAICAMA) study https://www.bcg.com/publications/2024/leaders-in-data-ai-racing-away-from-pack An analysis of US job advertisements reveals the diffusion patterns of AI in different industries: healthcare shows a notably low adoption rate, with only 1 in 1,850 job listings requiring AI skills. This rate lags far behind the information sector7 (1 in 71), as well as professional, scientific and technical services (1 in 88), finance and insurance (1 in 175) and educational services (1 in 333).8 Only the construction industry ranks lower than healthcare in AI adoption.To gain a better understanding of the obstacles that have hindered progress and identify strategic approaches to maximizing AI’s impact in health, the project team conducted more than 75 interviews with experts in the public and private sectors, asking for their ideas. Of the many they shared, some could have been relevant 10 years ago. This prompts the question: why have these ideas not materialized?Average maturity score, 2024Maturity growth since 2021 8% 6% 6%8%9% 7% 3%11% 17%313 309 305 300 299 296 292 291 279Technology and telecommunications Financial institutions Consumer Healthcare Insurance Industrial goods Energy Automotive Public sector The Future of AI-Enabled Health: Leading the Way 10