Tech Books & Learning

Abbas Mirza

Explore practical insights into turning AI ideas into meaningful business outcomes.

Angela Jackson

Presents research-led strategies for employee empowerment and inclusive leadership as drivers of organizational performance.

Ethan Mollick

Ethan Mollick examines the next phase of AI and how people and organizations can adapt to increasingly capable systems.

Sebastian Mallaby

Sebastian Mallaby traces Demis Hassabis, DeepMind, and the pursuit of superintelligence.

Christian Kastner

A practical textbook on engineering machine-learning products across requirements, design, quality assurance, and operations.

Derek Leben

A framework for evaluating algorithmic fairness and practical recommendations for organizations deploying AI in consequential decisions.

Joshua Gans

Examines AI as prediction, its role in decision-making, market supply and demand, pricing, competition, privacy, and regulation.

Blaise Aguera y Arcas

Explores intelligence as prediction across biological life, society, and AI, connecting computing with neuroscience and evolution.

Mustafa Suleyman, Michael Bhaskar

An account of the opportunities and governance risks posed by AI and other rapidly advancing technologies.

Brené Brown

A practical leadership guide focused on courage, connection, discipline, accountability, and leading amid uncertainty.

Alexander C. Karp, Nicholas W. Zamiska

Argues for renewed collaboration between technology companies and government, and examines technology’s role in national power.

Ethan Mollick

Ethan Mollick explores how to work with AI as a collaborator, coach, and tutor in business, education, and everyday work.

Stephen Witt

Stephen Witt traces Nvidia’s rise and Jensen Huang’s role in building the hardware company at the center of the AI boom.

Karen Hao

Karen Hao investigates OpenAI and the global human, economic, and environmental costs of the race to build AI.