Lessons from Jamie Dimon

Jamie Dimon spent nearly two decades building JPMorgan Chase into the largest U.S. bank, while his blunt shareholder letters offer a management playbook for resisting complacency, allocating capital, managing risk, and surviving economic crises at scale.

Lessons from David Ogilvy

David Ogilvy moved from kitchens and door-to-door sales into advertising, treating the field not as art but as a practical discipline grounded in research, clear writing, effective copy, and rigorous agency management that sells.

Lessons from Shane Parrish

Shane Parrish explores mental models and decision-making through Farnam Street and The Knowledge Project, translating second-order thinking and inversion into practical tools for sharper judgment, continuous learning, and better choices in daily life and work.

Lessons from Mustafa Suleyman

Mustafa Suleyman co-founded DeepMind and Inflection AI before becoming CEO of Microsoft AI, centering his thinking on the containment problem: how safety constraints, hardware regulation, and humanist systems might limit harms from rapidly scaling technologies.

Lessons from Warren Buffett

Warren Buffett is Berkshire Hathaway’s chairman and CEO, known for disciplined value investing and patient attention to long-term business fundamentals—an approach worth studying for how consistency and valuation can compound across decades in markets.

Lessons from Reid Hoffman

Reid Hoffman co-founded LinkedIn and later joined Greylock Partners, developing practical frameworks for building software, managing teams through rapid growth, mapping professional networks, and treating a career with the adaptability of a startup under pressure.

Lessons from Bob Iger

Bob Iger led Disney through acquisitions of Pixar, Marvel, and Lucasfilm and into streaming, framing leadership as a balance between protecting historic brands and dismantling outdated business models without sacrificing creativity or operational discipline.

Lessons from Mark Zuckerberg

Mark Zuckerberg grew Facebook into Meta and helped make the social graph and aggressive product iteration central to modern software, offering a study in engineering, company building, and bets on future technologies at scale.

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