AI is transforming mental health care—but can it bridge the global therapist shortage?

More than 1 billion people worldwide live with mental health conditions like anxiety or depression. The global median number of mental health professionals stands at just 13 per 100,000, with severe shortages in low- and middle-income nations. This gap has spurred the rapid development and testing of AI tools to support mental health care. AI applications in mental health now extend far beyond chatbots. They include personal sensing, natural language processing, and other advanced techniques. These tools aim to streamline the work of therapists and psychologists, filling critical gaps in access to care.

Regulators and lawmakers are acting quickly to address potential risks. The US Food and Drug Administration has adopted a risk-based approach for generative AI in mental health. Meanwhile, states like Vermont have banned certain AI uses in mental health services, leaving tech companies uncertain about compliance.

Public debate on the psychosocial impact of new technologies is also growing. Courts and regulators are setting up safeguards against assumed links between technology and mental health harm. Experts advise using AI only as a supplement to human professionals to ensure safety and accuracy. Market pressures further push companies to involve mental health specialists in product development, building trust and evidence-based solutions. AI is expanding its role in mental health care, offering tools to address global shortages of professionals. Governments and regulators are implementing rules to balance innovation with safety. The focus remains on ensuring these technologies complement, rather than replace, human expertise.