AI’s Shift from Pilots to Value

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

From a background perspective, I am currently the CEO and AI Advisor at StrategyAI Enterprises, a boutique firm focused on helping large organizations translate artificial intelligence into real, measurable business impact. I bring over a decade of experience leading AI, data, and cloud transformations across firms such as Accenture, Deloitte, and EY.

My work has consistently focused on one critical gap: the distance between AI ambition and operational reality. Today, I primarily work with senior executives and boards to redesign how organizations operate in an AI-driven context, moving beyond isolated use cases toward what I define as agentic-first operating models—where AI is embedded directly into decision-making, processes, and execution layers of the business.

Q2. With global power demand for AI expected to rise through 2030, how are firms balancing the need for massive compute expansion with the reality of grid constraints and the rising costs of specialized infrastructure like liquid cooling?

On the question of compute demand and infrastructure constraints, what we are seeing is not a temporary imbalance, but a structural one. AI demand is growing exponentially,…