Shyamkumar Sriram
India carries one of the world's largest mental health treatment gaps. The National Mental Health Survey found that about one in ten adults lives with a mental disorder, yet roughly five in six receive no care; the country has fewer than one psychiatrist per 100,000 people; and mental illness is projected to cost about US$1.03 trillion over two decades. No specialist-led model can close a gap of that size. This Perspective argues that India is nonetheless unusually well placed to close it, because it has already assembled, and already funds, components that most low- and middle-income countries still lack. Indian trials, including a national-scale cluster randomized study, show that lay counselors and community health workers, supported by simple digital tools, deliver effective treatment for depression in routine primary care. India has built a national digital health backbone in the Ayushman Bharat Digital Mission, a national tele-mental-health service in Tele MANAS, and a district mental health program that reaches most of the country, and it is beginning to govern artificial intelligence in health. The problem is that these assets largely run in parallel. The unfinished task is convergence: routing task-shared, digitally supported care through the existing backbone rather than launching fresh pilots. I set out a three-layer model where shared infrastructure lowers the cost of adding mental health, a task-shared workforce makes delivery affordable, and domestic financing and rights-based governance make it durable. Connectivity, literacy, and gender divides mean technology must augment human care, not replace it.