1990s: you're drawing chemical formulas with a stencil and hunting for papers in bound paper volumes. 2026: you open a chat with an AI, and in seconds it hands you three synthetic routes, sorted by cost and toxicity — and an hour later, a robot in the lab is already running the experiment. What happened to chemistry in a quarter century? And more importantly — what happened to the chemist?

Written by a chemist who has lived through the whole arc — from paper card catalogs to diffusion models that sculpt molecules out of noise — this book walks you through every corner of modern chemical work: retrosynthesis, self-driving labs, spectrum prediction, electronic lab notebooks, even the design of proteins that don't exist in nature. No intimidating formulas — just humor and dozens of hands-on examples. You'll learn how to keep a neural network from fooling you, why DFT is giving way to machine learning, and how to ask the questions no one has answered yet.

This book is an invitation to a conversation. Your new conversation partner is artificial intelligence — and you become its conductor, its detective, and, in the end, a philosopher of matter.

A Chemist in the World of Neural Networks

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