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Top 20 AI Books to Read in 2025–2026
Artificial Intelligence is transforming every industry—faster than any technology we’ve seen before. Whether you’re stepping into AI for the first time, advancing your technical expertise, or leading teams through AI-driven change, the right books can accelerate your journey.
This curated list brings together the most insightful, practical, and future-ready AI books, covering fundamentals, machine learning, deep learning, business strategy, governance, and the rise of agentic AI. Each book has been selected for its clarity, relevance, and long-term impact.
If you’re planning to upskill in 2025–2026, start here.
1. Artificial Intelligence: A Guide for Thinking Humans — Melanie Mitchell
A clear, engaging introduction to how AI works and what it still cannot do.
🔗 https://www.amazon.com/dp/03742578332. The Alignment Problem — Brian Christian
A powerful narrative on AI alignment, safety, and human behavior.
🔗 https://www.amazon.com/dp/03936358213. Life 3.0 — Max Tegmark
Explores possible futures shaped by AI and advanced intelligence.
🔗 https://www.amazon.com/dp/11019703164. Prediction Machines — Agrawal, Gans & Goldfarb
Perfect for understanding AI’s business and economic implications.
🔗 https://www.amazon.com/dp/1633695670INTERMEDIATE (For Students & Professionals)
5. AI Superpowers — Kai-Fu Lee
Insights into global AI competition and real-world applications.
🔗 https://www.amazon.com/dp/132854639X6. Architects of Intelligence — Martin Ford
Interviews with the world’s most influential AI pioneers.
🔗 https://www.amazon.com/dp/17899545347. Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow — Aurélien Géron
One of the best practical guides for ML and DL practitioners.
🔗 https://www.amazon.com/dp/10981259758. Grokking Deep Learning — Andrew Trask
A friendly and intuitive approach to understanding deep learning.
🔗 https://www.amazon.com/dp/1617293709ADVANCED (Technical & Research)
9. Deep Learning — Goodfellow, Bengio & Courville
The definitive textbook — foundational for deep learning researchers.
🔗 https://www.deeplearningbook.org/10. Reinforcement Learning: An Introduction — Sutton & Barto
The essential resource for RL theory and practice.
🔗 http://incompleteideas.net/book/the-book-2nd.html11. Probabilistic Machine Learning — Kevin Murphy
A rigorous, comprehensive guide to ML theory.
🔗 https://probml.github.io/12. The Hundred-Page Machine Learning Book — Andriy Burkov
Fast, compact, but deeply insightful.
🔗 https://www.amazon.com/dp/199957950XAI FOR BUSINESS, STRATEGY & LEADERSHIP
13. The AI Advantage — Thomas Davenport & Rajeev Ronanki
A practical guide for implementing AI in real organizations.
🔗 https://www.amazon.com/dp/026203917614. Competing in the Age of AI — Marco Iansiti & Karim Lakhani
Explains how digital-first, AI-driven enterprises operate differently.
🔗 https://www.amazon.com/dp/163369762215. Human + Machine — Paul Daugherty & James Wilson
A human-centric view of AI-powered work.
🔗 https://www.amazon.com/dp/1633693864AI ETHICS, GOVERNANCE & SOCIETAL IMPACT
16. Ethics of Artificial Intelligence and Robotics — Patrick Lin et al.
A comprehensive dive into AI ethics and responsible innovation.
🔗 https://www.amazon.com/dp/113869194517. Weapons of Math Destruction — Cathy O’Neil
Reveals how algorithms reinforce bias and inequality.
🔗 https://www.amazon.com/dp/055341881518. Atlas of AI — Kate Crawford
A global perspective on the social, economic, and ethical impacts of AI.
🔗 https://www.amazon.com/dp/0300209576AI TRENDS, AGENTS & THE FUTURE OF WORK
19. The Coming Wave — Mustafa Suleyman
Explores the rise of agentic AI and its global consequences.
🔗 https://www.amazon.com/dp/152915347720. Power and Prediction — Agrawal, Gans & Goldfarb
A sharp analysis of AI’s economic disruption and predictive capabilities.
🔗 https://www.amazon.com/dp/1647824778Final Thoughts
AI is no longer a niche skill — it is a critical career advantage across every industry. Whether you’re a leader, engineer, student, HR professional, strategist, or entrepreneur, these books will equip you with the mindset and mastery needed for the AI-driven decade ahead.
incompleteideas.net
Sutton & Barto Book: Reinforcement Learning: An Introduction
Sutton & Barto Book: Reinforcement Learning: An Introduction
