“Michael is a brilliant financial and analytical mind who puts his whole effort in to his work. I would not hesitate to recommend Michael for almost any analytical job because if he doesn't know it, he would figure it out quickly.”
About
Experience & Education
Publications
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Powering the Future of US Data Centers: How Electricity Providers can Overcome Bottlenecks and Supercharge Growth
Accenture
This paper explores how the rapid rise of AI, cloud computing, and digital services is driving unprecedented data center growth and reshaping U.S. electricity demand. It highlights projected load increases, evolving siting priorities, and the growing need for flexible, high-capacity infrastructure. The report emphasizes the importance of energy availability, permitting speed, and utility partnerships, while also outlining potential solutions, including advanced technologies, behind-the-meter…
This paper explores how the rapid rise of AI, cloud computing, and digital services is driving unprecedented data center growth and reshaping U.S. electricity demand. It highlights projected load increases, evolving siting priorities, and the growing need for flexible, high-capacity infrastructure. The report emphasizes the importance of energy availability, permitting speed, and utility partnerships, while also outlining potential solutions, including advanced technologies, behind-the-meter generation, and new planning models, to ensure power systems can keep pace with digital expansion.
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Artificial Intelligence’s Energy Paradox: Balancing Challenges and Opportunities
WEF (In collaboration with Accenture)
The AI Energy Paradox whitepaper examines how the rapid surge in AI adoption, particularly in data centers, is reshaping global energy systems, projecting AI-related electricity demand to grow by roughly 50% annually through 2030, potentially consuming up to 3% of global power. Drawing on insights from over 70 cross-sector experts, the report highlights both the risks (grid bottlenecks, excessive heat generation, rising carbon and water footprints, etc.) and the promise of AI-driven…
The AI Energy Paradox whitepaper examines how the rapid surge in AI adoption, particularly in data centers, is reshaping global energy systems, projecting AI-related electricity demand to grow by roughly 50% annually through 2030, potentially consuming up to 3% of global power. Drawing on insights from over 70 cross-sector experts, the report highlights both the risks (grid bottlenecks, excessive heat generation, rising carbon and water footprints, etc.) and the promise of AI-driven optimization in energy efficiency, smart grid management, and industrial decarbonization . It underscores urgent infrastructure challenges (like interconnection delays and peak-load planning) and environmental concerns (including rebound effects and e‑waste), while outlining a systemic approach for aligning AI with sustainability goals through regulatory clarity, financial tools, technological design, and collaborative market structures.
Languages
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Spanish
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