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The ROI Divide in AI Adoption

The ROI Divide in AI Adoption

Executive decision-making is being reshaped by AI-driven execution pressure, fragile delivery nodes, and ESG economics—where ROI hinges on adoption discipline, operational scalability gaps emerge early, and sustainability shifts from cost to competitive advantage.

February 3, 2026 6 min read IT
The ROI Divide in AI Adoption

Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?


I possess approximately 15 years of experience operating at the intersection of strategy, data, and revenue growth across global organizations such as Deloitte, Capgemini, and, currently, Tata Technologies. My career has evolved from sales enablement and market research to driving complex strategic partnerships and consulting. Currently, I serve as the Head of Sales Enablement at Tata Technologies, reporting directly to the Chief of Strategy. In this role, I lead a specialized team focused on institutionalizing best practices across sales operations and GTM strategy. What differentiates my approach is a blend of a strong consulting mindset with deep technical engagement; beyond standard enablement, I function as a bridge between "technical" AI possibilities and "functional" business use cases, leveraging experience in prompt engineering to operationalize these strategies.


Q2. What single industry shift is most altering executive decision-making today, and why has its impact accelerated in the last 24 months rather than earlier?


The most profound shift is the transition from "Experimental AI" to "Operationalized AI"—effectively moving from intuition-led leadership to data-first decision models. While AI has been a buzzword for…

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