As AI goes mainstream, IMD experts, industry practitioners, and global thought leaders examine how to combine human capabilities and cutting edge technology to redefine business models, drive innovation and growth, and maximize value for your organization.
Generative AI (GenAI) and the coming wave of AI agents can optimize operations and drive growth, but projects often underperform. José Parra-Moyano's value-data-people framework helps organizations deploy this technology more effectively.
Michael Wade and Tomoko Yokoi explain how IMD ranked the world’s leading companies on AI adoption and use – and reveal which topped the list
In a world of deepfakes, hallucinations, and bias, we offer practical guidance on how you can trust your AI systems.
The race to harness artificial intelligence is reshaping the financial services landscape, with industry leaders demonstrating how strategic AI implementation drives competitive advantage. IMD’s AI Maturity Index reveals the winning formula.
AI and sustainability are transforming the business landscape. In their new book, Michael Wade and Konstantinos Trantopoulos introduce the concept of twin transformation – a leadership imperative for companies seeking to remain competitive, resilient, and relevant. Rather than a traditional textbook, it’s written as a business novel to mirror the real world, with characters, backstories, and a narrative with ups and downs, twists and turns, victories and setbacks.
AI’s true revolution isn’t in chatbots but in transforming industrial operations through dark factories and predictive maintenance. This will require leaders to balance technological advancement with responsible societal impact.
In more mature stages of Artificial Intelligence (AI) adoption, AI agents are an integral part of business operations, bringing new layers of complexity and enormous opportunity, says José Parra Moyano.
For CEOs, the hardest part of AI transformation isn’t the technology – it’s reskilling at scale to ensure teams can apply what they’ve learnt in practice.
In a world of deepfakes, hallucinations, and bias, we offer practical guidance on how you can trust your AI systems.
In an era defined by advanced AI and behavioral data, Apple’s ‘Evil Steve’ test exemplifies a proactive approach to ethical decision-making and responsible data governance.
Leadership in the AI era requires a major change in control, strategy, and influence. The executives who succeed will be those who view AI not only as an assistant but as a partner in leadership. Susanne May outlines the capabilities and actionable shifts needed to succeed.
Brain Circuits How to use AI to help DEI: pitfalls, key actions, and checklist by Josefine van Zanten Published June 2, 2025 in Brain Circuits
AI-first leadership starts by unlearning old habits. Find out what holds leaders back and how to adapt for the AI age.
Mike & Amit discuss how to evaluate the progress of Artificial Intelligence using real-time technological and regulatory changes
Mike & Amit discuss what will war look like in the world of tomorrow
Mike and Amit discuss what makes retail tech successful – and what your shopping experience may look like in years to come
AI is revolutionizing the world of business, at pace. How do executives guarantee this mass adoption benefits both their organizations and society? In Issue XIII of I by IMD, we explore how to lead effectively - and responsibly - in the age of AI.
This report sets out the findings of a proprietary survey on exposure, adoption, and attitudes towards usage and regulation of Artificial Intelligence (AI) and generative AI (GenAI) in Switzerland in 2024. It also shares the expert insights of our co-authors and leaders from business, academia, and the public sector captured at two dedicated workshops on disruptive technologies, including GenAI, in October and November 2023.
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