India Leads in Responsible AI Maturity: McKinsey Survey Highlights Global Gaps
India has surfaced as the global frontrunner in responsible artificial intelligence (RAI) maturity, according to a new McKinsey report. With a maturity score of 2.5 out of 4, India outperformed the global average by 23, reflecting an advanced mindfulness of AI-related pitfalls and a visionary stance in mitigating them. The check, grounded on perceptivity from over 750 directors across 38 countries, gauged diligence including technology, healthcare, finance, and law.
The McKinsey AI Trust Maturity Model assessed four confines: strategy, threat operation, data and tech, and functional governance. The global average score stood at 2.0, signalling that numerous associations are still in the early stages of developing essential RAI fabrics, such as incident response plans and data quality controls.
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RAI Investments on the Rise
Most companies expect to invest over $1 million in RAI initiatives over the coming year, with larger enterprises contributing significantly more. These investments target hiring expert talent, deploying advanced technology, and engaging legal and compliance resources. Among companies earning over $10 billion annually, those prioritizing RAI reported stronger consumer trust (34%), improved operational efficiency (42%), and a reduced number of AI incidents (22%).
Barriers and the Path Forward
Despite progress, over 51% of respondents cited inadequate training and awareness as major hurdles, while 40% were concerned about evolving regulations. These barriers highlight the need for continued education and clearer policy frameworks.
At the recent Economic Times Digital Transformation Dialogues in Bengaluru, Indian industry leaders emphasized that responsible AI development is as critical as digital growth and tech upskilling. India’s leadership in this space reinforces its commitment to ethical, safe, and inclusive AI adoption.
