What Happened
On June 16, 2026, Manish Prasad, President and Managing Director of SAP Indian Subcontinent, participated in an exclusive interview with Business Today. The discussion centered on the tangible impact of Artificial Intelligence (AI) on the corporate landscape, specifically focusing on how Indian enterprises are transitioning from initial experimentation to full-scale operational integration. Prasad addressed the critical tension between high-level technological investment and the necessity of achieving measurable Return on Investment (ROI).
The conversation moved beyond the typical rhetoric surrounding AI, focusing instead on the structural changes occurring within Indian businesses. Prasad explored how AI is not merely an efficiency tool but a fundamental driver of business model transformation. The interview also touched upon the shifting dynamics of the Indian workforce, the changing requirements for talent acquisition, and the broader implications of global talent migration, including the nuances surrounding H1-B visa dependencies.
Key Details
The discussion highlighted several specific areas where AI is creating friction and opportunity for Indian companies:
- The ROI Imperative: Prasad emphasized that the honeymoon phase of AI investment is ending. Enterprises are now under pressure to demonstrate how these technologies directly contribute to the bottom line. This requires a shift from viewing AI as a standalone IT project to embedding it into core business processes.
- Workforce Redefinition: The nature of job roles is undergoing a significant transformation. Prasad noted that the focus is shifting toward skills that complement AI capabilities—such as critical thinking, complex problem-solving, and AI-literacy—rather than rote execution of tasks.
- India’s Strategic Position: India is increasingly viewed not just as a service provider but as a global innovation hub. The ability of Indian firms to leverage AI to solve complex enterprise problems is positioning the country as a critical node in the global technology ecosystem.
- Talent Migration: The interview addressed the evolving patterns of talent movement. With the changing landscape of H1-B visas and global mobility, there is a renewed emphasis on developing and retaining high-level expertise within the domestic Indian market.
Context
By mid-2026, the technology sector in India has moved past the initial hype cycle of generative AI. Companies that spent the previous 18 months conducting pilot programs are now facing the reality of scaling these solutions. The current environment is defined by a demand for enterprise-grade reliability, security, and integration.
SAP, as a major player in enterprise resource planning (ERP), is at the center of this shift. The company’s strategy involves integrating AI directly into the business workflows that power thousands of organizations. Prasad’s insights reflect a broader trend where the primary challenge for leadership is no longer the availability of AI tools, but the organizational capacity to adopt them effectively. This includes managing data quality, overcoming legacy infrastructure constraints, and reskilling the workforce to handle AI-augmented workflows.
Furthermore, the discussion on talent migration reflects a geopolitical reality. Indian firms and multinational corporations operating in India are recalibrating their talent strategies. The reliance on offshore models is being supplemented—and in some cases replaced—by decentralized, high-skill hubs that leverage local expertise to drive global innovation.
Why It Matters
The shift Prasad describes is significant for several reasons:
- Competitive Advantage: The companies that successfully bridge the gap between AI investment and ROI will likely pull away from their competitors. Those that treat AI as a superficial addition to their tech stack risk wasting capital.
- Economic Resilience: As India seeks to maintain its status as a top-tier destination for technology investment, the maturity of its AI implementation will determine its long-term economic trajectory. A successful transition to an AI-first business culture will likely insulate the economy from broader global downturns by increasing productivity.
- Labor Market Stability: The evolution of the workforce is perhaps the most sensitive area. If businesses can successfully reskill their employees, the transition will be one of augmentation rather than displacement. If they fail, the social and economic costs could be substantial.
Bottom Line
The message from SAP’s leadership is clear: the era of AI experimentation is over. For Indian businesses, the focus must now shift to rigorous execution and the alignment of technological capabilities with business outcomes. The future of Indian business, as outlined by Prasad, depends on the ability of leaders to navigate the complexities of AI integration while simultaneously cultivating a workforce that is prepared for an increasingly automated and data-driven world.
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Rajini Ravindra holds an M.A. in History from Mysore University (KSOU). Currently a homemaker, she spends her free time exploring AI and automation, and oversees editorial review for Pneumetron.
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