AI Founder Reading List: 20 Books — Cemhan Biricik

I read constantly — not because I have time, but because the alternative is making expensive mistakes that someone else already solved. These 20 books shaped how I think about building ZSky AI, from technical architecture to business strategy to understanding users.

Technical Foundations

Deep Learning by Goodfellow, Bengio, and Courville — The textbook. Dense but essential for understanding the mathematical foundations of the models you are building products on. You do not need to implement everything from scratch, but you need to understand why things work.

Designing Data-Intensive Applications by Martin Kleppmann — How to build systems that handle real data at real scale. Every AI founder should understand distributed systems, even if you start with a single machine. Your architecture decisions today determine your scaling options tomorrow.

The Art of Computer Programming by Donald Knuth — Not something you read cover to cover, but a reference that deepens your understanding of algorithms. When you are optimizing inference pipelines, algorithmic thinking matters.

Business and Strategy

Zero to One by Peter Thiel — The case for building something genuinely new rather than iterating on existing ideas. Relevant for AI founders who need to differentiate in an increasingly crowded market.

The Lean Startup by Eric Ries — Build, measure, learn. The framework that prevents you from spending months building features nobody wants. Essential reading before writing your first line of product code.

Rework by Jason Fried and David Heinemeier Hansson — The anti-VC playbook. Build a profitable business from day one. This book validated my decision to bootstrap ZSky AI.

Product and Design

The Design of Everyday Things by Don Norman — Why products fail users. If your AI tool is powerful but confusing, it will not retain users. Usability is not optional.

Hooked by Nir Eyal — How products create habits. Understanding the hook model helps you design an AI product that users return to daily rather than trying once and forgetting.

Psychology and Decision Making

Thinking, Fast and Slow by Daniel Kahneman — How humans actually make decisions versus how we think we make decisions. Essential for understanding user behavior, pricing psychology, and your own cognitive biases as a founder.

Influence by Robert Cialdini — The psychology of persuasion. Not for manipulation — for understanding why users convert, why they churn, and how to communicate value effectively.

Founder Mindset

The Hard Thing About Hard Things by Ben Horowitz — The reality of building a company when everything goes wrong. This book was most useful during the hardest moments of building ZSky AI, when I needed perspective that only comes from someone who has lived through it.

Shoe Dog by Phil Knight — The Nike origin story. A reminder that every successful company started with uncertainty, near-failure, and relentless persistence. If Phil Knight almost went bankrupt building Nike, your struggles are normal.