Amit Joshi

Professor of AI, Analytics and Marketing Strategy

Business School Professor

Professor Joshi brings IMD extensive expertise in marketing management and strategy, advertising, digital media, data analytics and marketing accountability.

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Amit Joshi's 2025 Biography

Amit Joshi’s background

Previously an award-winning professor and researcher at the University of Central Florida in Orlando, Amit has interacted with a variety of corporate clients in several industries, including telecom, media, manufacturing, retailing, education and automobiles. He has also worked for Cadbury India Ltd., a company that is now a part of the Mondelez International group, India’s biggest confectionery manufacturer.

Amit’s research, which focuses on long-run marketing strategy, analytics and marketing effectiveness has been published in top journals, including Journal of Marketing, Marketing Science, Journal of Consumer Culture and Journal of the Academy of Marketing Science.

His research has twice won the MSI / H. Paul Root Award, for the best paper in the Journal of Marketing (2010 and 2015), in addition to the Robert D. Buzzell Best Paper Award (2006) for the MSI publication with the most long-term impact. His dissertation won an honorable mention in the 2004 Alden G. Clayton Dissertation Proposal Competition.

Professor Joshi’s research has also been extensively covered in the popular press and media, including NPR, CNN, NBC, Fox News, Bloomberg, Investor Relations Magazine, Science Daily and the Orlando Sentinel.

He earned his Bachelor’s Degree in Mechanical Engineering from the University of Pune and then a Post Graduate Diploma in Management (P.G.D.M.) from the Indian Institute of Management, Calcutta, India. His Ph.D. is from the UCLA Anderson School of Management.

Amit Joshi's 2025 Talks & Topics

Amit Joshi's Latest Books

GAIN: Demystifying GenAI for office and home

Understand how GenAI is different from other tech innovations and what you can do to harness its power. This book argues that GenAI represents a genuine paradigm shift in technological innovation. The authors, the same team behind the popular podcast ‘Mike & Amit Talk Tech’, combine academic rigor with practical business insights, incorporating perspectives from diverse industry experts and their own hands-on experience teaching with, and using, GenAI. They maintain an optimistic yet balanced view, acknowledging both opportunities and risks. The book’s structure progresses logically through several key areas: fundamental explanations of GenAI and its distinctiveness from legacy AI systems; value propositions at individual, organizational, and societal levels; potential risks and challenges; practical implementation guidance for organizations through a digital and AI model; and future trajectories of the technology. Notable is the authors’ focus on near-term, actionable insights rather than speculative long-term scenarios. They emphasize empirical evidence and real-world applications, making the content accessible to a broad audience including executives, policymakers, researchers, and general readers interested in understanding GenAI’s impact on individuals, businesses, and society.

The AI-Centered Enterprise: Reshaping Organizations with Context Aware AI

The explosion of generative AI has sparked a wave of case studies showing how quickly and profoundly it is transforming businesses. Yet most of these use cases still apply the technology to enhancing existing systems. This book makes the case for why business leaders must revisit the fundamentals of generative AI and look beyond short-term, tactical gains. Tools like ChatGPT mark just the beginning of Context Aware AI—systems that grasp both the content and intent of unstructured human input. Drawing on real-world examples and academic research, we demonstrate how Context Aware AI can enhance organizational interactions, unlock new forms of collaboration, and usher in the era of the AI-Centered Enterprise. By augmenting baseline Large Language Models (LLMs) with techniques like prompt engineering, retrieval-augmented generation (RAG), knowledge graphs, and notably agentic systems, organizations can build customized tools that adapt to individual users’ thinking patterns and the collaborative workflows they are a part of. We present a practical framework—the 3Cs: Calibrate, Clarify, Channelize, to help leaders navigate this radical shift across multiple levels of organizations.

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