📚 Top 10 AI Books to Read in 2025
Stay ahead of the curve with these essential reads on artificial intelligence, machine learning, and the future of technology
| # | Title & Author | Why It's Worth Your Time |
|---|---|---|
1 | AI EngineeringChip Huyen (Jan 2025) View Book | Hands-on guide to building production-grade apps with foundation models—great for devs who want pragmatic patterns beyond pure theory. |
2 | Building LLMs for ProductionLouis-François Bouchard & Louie Peters (2025) View Book | Step-by-step recipes for fine-tuning, scaling, and shipping large language models in real-world stacks. |
3 | AI Snake OilArvind Narayanan & Sayash Kapoor (2025) View Book | A myth-busting look at what today's AI can—and definitely cannot—do, written by two leading researchers. |
4 | The Coming WaveMustafa Suleyman (re-issued 2025) View Book | Explores "techno-prism" risks as generative AI scales; a must-read for founders and policymakers alike. |
5 | Digitally InvisibleKatherine Chen (2024, hot in 2025) View Book | Investigates how AI-driven systems erase marginalized voices online—fuel for ethical design debates. |
6 | The Singularity Is NearerRay Kurzweil (2025) View Book | A provocative forecast of human-AI convergence, updated with GPT-4-o-era milestones. |
7 | Supremacy: AI, ChatGPT, and the Race that Will Change the WorldParmy Olson (2025) View Book | Journalistic deep dive into the new "foundation-model arms race" across the U.S., China, and Europe. |
8 | Artificial Intelligence: A Modern ApproachRussell & Norvig (4th ed. still core) View Book | The evergreen textbook every practitioner keeps on-hand; updated examples cover transformers. |
9 | Handbook of Geospatial AISong Gao et al. (2025) View Book | Shows how location data and deep nets power everything from urban planning to climate modeling. |
10 | AI Trends in 2025Derek Ashford (Feb 2025) View Book | A comprehensive overview of emerging AI trends and technologies expected to shape the industry in 2025. |
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