India is positioning itself as the world's AI integration engine, with nearly 2,000 Global Capability Centres (GCCs) currently employing close to 2 million professionals. According to the Observer Research Foundation, this number is estimated to expand exponentially to over 3,000 GCCs by 2030, with more than half of global GCCs located in India. The country's dominance stems from decades of IT services experience, producing a vast talent pool proficient in cloud platforms, cybersecurity, and enterprise-grade systems. Multinationals are choosing India to sidestep the global AI talent crunch and build durable internal teams for sensitive data and core workflows.
Indian companies are increasingly incorporating artificial intelligence adoption as a key performance indicator for senior leadership. According to reports from Mint, employers investing in AI-led upskilling programmes are now demanding measurable outcomes from their leadership teams. Companies across banking, consulting, and other sectors are rating 5-15% of their senior leadership based on how they use AI beneficially, alongside traditional factors like people management, operations and financials. The integration follows a structured approach where 5-15% of senior leader goals could align to AI implementation, with senior leaders being increasingly asked to demonstrate AI usage and get their teams to work with it.
Private lenders have taken the lead in implementing AI-focused performance metrics. Axis Bank, India's third-largest private lender, has embedded AI implementation into its leaders' appraisals as part of their key result areas. As reported by Mint, Rajkamal Vempati, group head—human resources at Axis Bank, stated that their top leaders are working on 5 to 10 AI projects with the expectation they spend about 20% of their time on these initiatives and demonstrate tangible outcomes. The bank hired Namrata Dubashi, a senior executive at McKinsey & Company, as its AI officer in June to spearhead AI initiatives.
The private wealth management industry faces unique challenges in AI adoption, with participants noting significant variations in employee response to AI tools. According to discussions hosted by Avaloq, some employees naturally work well with AI and see productivity amplification, while others resist, misunderstand tools, or fear being left behind. The industry acknowledges that data secrecy is absolutely paramount, leading several firms to develop internal AI applications or closed environments where advisers can access AI functionality without exposing client data. Participants emphasize that technology change is not only an IT decision; it affects roles, cost structures, controls, client experience and long-term competitiveness. The central issue is not whether AI can improve wealth management, but whether firms have the operating foundations to use it properly, requiring a shift from isolated use cases towards governed, integrated platforms.
Indian firms are building comprehensive AI accelerators and industry-specific solutions that reduce adoption barriers for enterprises. These pre-built modules include ready-made templates for common business tasks such as fraud detection, claims processing, and customer support. Indian IT giants have started building AI agent factories that produce many agents handling different roles across businesses, turning AI deployment from custom projects into scalable processes. The sector has developed vertical AI accelerators across industries including insurance claims, medical triage, fleet optimization, retail forecasting, anti-money laundering checks, transaction reconciliations, telecommunications network planning, supply chain monitoring, and energy distribution. Companies are investing in massive reskilling programmes with millions of learning hours in AI model tuning and cloud-native engineering, with many firms operating internal AI academies that produce tens of thousands of trained professionals each year.
Microsoft's partnership announcement in December 2025 with India's largest IT majors—Infosys, TCS, Wipro, and Cognizant—represents a significant milestone in India's AI leadership. Each partnership will see over 50,000 Copilot deployments rolled out across industries, supported by newly built 'AI factories' inside these firms. Microsoft CEO Satya Nadella described the surge of AI activity in India as showing 'great momentum', noting that these IT majors are not only implementing Copilot but also 'building deep agent factories' that fuse enterprise experience with Microsoft's AI platform. The collaboration highlights India's ability to operationalize frontier technology within complex global systems, with the scale and sophistication demonstrating the country's industrial discipline and engineering precision. Meanwhile, Anthropic has announced plans to open its second Asia Pacific office in Bengaluru in early 2026, while OpenAI has announced a comprehensive collaboration with HCLTech to drive enterprise AI adoption across sectors.
