Ayush Dubey
MBA Candidate, Yale School of Management | Incoming M&A Consultant, PwC | Former P&G Digital Transformation
New York City, New York, United States
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Ayush Dubey is a Yale School of Management MBA candidate, London Business School exchange student, and emerging speaker at the intersection of AI, technology M&A, private equity value creation, energy transition, and enterprise transformation.
His work focuses on how organizations make better decisions when technology, capital, infrastructure, and human judgment are all changing at once. In private equity advisory, Ayush has worked across technology diligence, carve-out planning, post-merger integration, and value creation strategy. His broader operating experience spans digital transformation, manufacturing technology, AI/ML deployment, energy analytics, sustainability strategy, and global operations.
Ayush’s energy and infrastructure lens is central to his work. At Yale, his academic and project work has covered climate finance, project finance, energy and infrastructure, land use, real assets, sustainable finance, renewable energy, and geothermal commercialization. His capstone work includes geothermal data-center cooling strategy and commercialization for a climate-tech company, as well as forest and carbon decision-support work for land-use protection. At London Business School, his private equity-focused exchange adds exposure to corporate turnarounds, pricing, and strategic innovation, strengthening his ability to connect investment logic with operational execution.
Ayush’s AI thought leadership examines a central question: what happens when AI makes individuals and organizations appear more capable before their judgment, governance, and operating systems have caught up? His CIO.com article, “The 10-Man Parity Rule: When AI Adoption Accelerates Faster Than Organizations Can See,” argues that AI is increasingly pulled into work by employees, quietly outpacing traditional governance and reshaping who gets leverage inside companies.
In 2026, Ayush was selected to speak and present at AI @ Yale Symposium: From Innovation to Impact. His talk, “Clarity before Understanding: How Generative AI Reshapes Judgment in MBA Education,” explored how AI can produce polished synthesis before independent judgment is formed. His connected poster, “The AI Visibility Gap: Why Leaders Misread Capability Inside Their Own Organizations,” translated the same concern into the workplace context, asking how leaders can assess capability when AI changes the visible signals of work.
Ayush also serves as a reviewer for the Academy of Management Annual Meeting in M&A and is listed on the UNESCO Expert Roster in Natural Sciences. He holds a B.Tech. in Aerospace Engineering from IIT Bombay, bringing a systems-level lens to questions of AI adoption, energy transition, corporate transformation, private equity value creation, and leadership judgment.
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Ayush Dubey
MBA Candidate, Yale School of Management | Incoming M&A Consultant, PwC | Former P&G Digital Transformation
New York City, New York, United States
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