In 2024, leaders in digital health foresee wider AI adoption across various healthcare domains. Stakeholders anticipate AI aiding in reducing provider burnout, easing loneliness among consumers, and addressing key challenges. Industry experts stress responsible AI use, citing multi-cloud strategies to mitigate platform dependence and emphasising prioritising technology to tackle fundamental healthcare hurdles. Anticipated AI applications range from enhancing patient care with personalised treatment and drug development in biopharma to revolutionising healthcare staffing through generative AI, addressing workforce shortages projected by the World Health Organization. Despite potential AI benefits in clinical decision-making and patient care, scaled-up adoption remains constrained by existing workflows and economic considerations within healthcare organisations.