HBR 2025 – Max’s Selected Readings
The year-end period is a wonderful moment to slow down, reflect, and make space for new ideas.
Harvard Business Review is often a source of inspiration for me, and throughout the year I came across several articles that stood out for their clarity and relevance.
I selected seven that I found particularly insightful and inspiring, and I am pleased to share them with you here.
Below, you will find the list—one article per bi-monthly edition of HBR, plus an additional piece that I found especially meaningful.
I hope these readings offer useful insights for your strategic reflections in 2026. Should you ever wish to explore any of these themes further, we would be glad to assist.
January-February
Three Ways to Lead Learning
Which one is best for your organization?
https://hbr.org/2025/01/three-ways-to-lead-learning
March-April
Strategy in an Era of Abundant Expertise
How to thrive when AI makes knowledge and know-how cheaper and easier to access.
by Bobby Yerramilli-Rao, John Corwin, Yang Li and Karim R. Lakhani
https://hbr.org/2025/03/strategy-in-an-era-of-abundant-expertise
Mai-June
The Power of Mattering at Work
Improving everyday interactions can promote employee retention, engagement, growth, and well-being.
https://hbr.org/2025/05/the-power-of-mattering-at-work
July-August
The Conflict-Intelligent Leader
In these turbulent times learning how to manage disputes is a must.
https://hbr.org/2025/07/the-conflict-intelligent-leader
September-October
How Digital Integration Is Reconfiguring Value Chains
Lessons from cloud kitchens and other new business models.
https://hbr.org/2025/09/how-digital-integration-is-reconfiguring-value-chains
November-December
The Gen AI Playbook for Organizations
Where to use it, where not to, and why strategy still wins.
by Bharat N. Anand and Andy Wu
https://hbr.org/2025/11/the-gen-ai-playbook-for-organizations
Bonus
Overcoming the Organizational Barriers to AI Adoption
by Jin Li, Feng Zhu and Pascal Hua
https://hbr.org/2025/11/overcoming-the-organizational-barriers-to-ai-adoption