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Latest Read: HBR’s 10 Must Reads 2026

HBR’s 10 Must Reads 2026 from Harvard Business Review.

HBR's 10 Must Reads 2026: The Definitive Management Ideas of the Year by Harvard Business Review

As 2023 was coming to a close, I found myself diving into HBR’s 10 Must Reads for 2024. It was a great way to get a feel for the management ideas shaping the year ahead. Then came the 2025 edition, and now, here I am again—starting 2026 with HBR’s latest collection.

This is for both new and experienced leaders seeking insights, and advice to propel their organizations forward in the new year.

To no surprise, AI remains a key read for organizations. The focus “Bring everyone on board with your AI efforts” is addressing the much needed broad participation in AI adoption. This is even more important in 2026 as models have been updated in 2025 to bring new reasoning models that can propel organizations forward, only if the deployment touches all employees.

However a risk based approach will save organizations from overspending and unauthorized egress of organizational data.

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Artificial Intelligence Education Reading

Latest Read: The Predictive Edge

The Predictive Edge: Outsmart the Market using Generative AI and ChatGPT in Financial Forecasting by Alejandro Lopez-Lira.

The Predictive Edge: Outsmart the Market using Generative AI and ChatGPT in Financial Forecasting by Alejandro Lopez-Lira

Alejandro holds a MA and PhD in Finance from the University of Pennsylvania.Today he is an Assistant Professor of Finance at the University of Florida.

In the AI-accelerated landscape of financial technology, he is taking a view that legacy quantitative methods face diminishing returns. So here, a new “predictive edge” in Large Language Models has arrived. Perhaps a mix of theory and practice for integrating AI into your investment strategies.

Financial forecasting traditionally relied on structured data: price charts, earnings ratios, and trading volumes. Alejandro is now showing the market’s greatest inefficiency resides in unstructured data. Every day a large volume of news, earnings call transcripts, and regulatory filings have broken those legacy forecasting models. Enter ChatGPT and LLMs which hold the ability to process and perform sentiment analysis at a scale previously impossible.

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Artificial Intelligence Education Innovation Reading Technology

Latest Read: AI for Good

AI for Good: Applications in Sustainability, Humanitarian Action, and Health by William B. Weeks and Juan M. Lavista Ferres.

AI for Good: Applications in Sustainability, Humanitarian Action, and Health by William B. Weeks and Juan M. Lavista Ferres

William holds a BS in Biology/ChemistryBachelor of Science from Whitman College, MD from The University of Texas Medical Branch, and PhD in Economics from Aix-Marseille University France. Today he is Director, AI for Health at Microsoft and an Adjunct Professor at NYU School of Public Health.

Juan holds a BS in computer science from the Catholic University in Uruguay, MA in Data Mining and Machine Learning from Johns Hopkins University and a PhD in AI on Healthcare from Vrije Universiteit of Amsterdam.

With a foreword by Brad Smith, Vice Chair and President of Microsoft, AI for Good is certainly addressing the exploration of how artificial intelligence is being used today to address the world’s most pressing challenges.

Readers will discover how Microsoft’s AI leaders and researchers are obviously using AI to transform the world for the better. The impact AI is making on data analytics is amazing. William and Juan are detailing their efforts so far.

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Education Reading

Latest Read: How to Become Famous

How to Become Famous: Lost Einsteins, Forgotten Superstars, and How the Beatles Came to Be by Cass R. Sunstein

How to Become Famous: Lost Einsteins, Forgotten Superstars, and How the Beatles Came to Be by Cass R. Sunstein

Cass holds a AB and JD from Harvard. He is currently a professor at Harvard and was a professor at the University of Chicago Law School for 27 years. He is the founder and director of the Program on Behavioral Economics and Public Policy at Harvard Law School.

How to Become Famous investigates mechanisms behind why certain individuals, groups, or works become famous while others, in fact superior in quality or talent are overlooked and even forgotten.

Clearly Cass is not focusing on a step-by-step guide to achieving fame, it is in fact exploring unpredictable and often times arbitrary forces that result in fame and fortune and those who fade into obscurity.

Cass is revealing the role of luck actually serendipity. It’s the fact that talent and resilience were always important but simply not enough to achieve fame and fortune. Rather its about being in the right place at the right time: chance or having the right connections.

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Artificial Intelligence Education Reading

Latest Read: Autonomous Transformation

Autonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence by Brian Evergreen

Autonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence by Brian Evergreen

Brian holds a BA in Music Theory from Azusa Pacific University. He has written fro VentureBeat and Fast Company. He is currently CEO of The Future Solving Company.

We are now seeing the impact of AI’s transformational capability with project management. So, how will organizations fundamentally shift as a result of AI data? This is a rather interesting look at any complex organization, and how organizational leadership and employees with over a decade of experience pull back from change. Are organizations in fact prepared to handle this change?

Autonomous Transformation is addressing the idea that AI can create efficient change, yet not be perhaps ready to address the shift required by organizations without a practical framework. Brian is providing a blueprint for organizations that understand the potential AI can today create new value for internal stakeholders and their employees.

Perfect for executives, directors, managers, and other business leaders, Autonomous Transformation will also earn a place for anyone who finds themselves doing their best to navigate an increasingly complex and nuanced digital and economic landscape.

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