Summary
Nick Saraev, who has spent seven years building and operating AI businesses since the GPT-2 era, lays out a one-week curriculum for going from AI beginner to a deep, foundational understanding of the field. The roadmap is aimed at people who want more than tool tutorials and want to know what is actually going on and why.
The video starts with AI history, from Frank Rosenblatt’s perceptron in the 1950s through AI winters and expert systems to the 2012 AlexNet breakthrough that revived neural networks. It then maps the modern AI supply chain layer by layer: ASML machines, TSMC chip manufacturing, Nvidia hardware, data centers built by Microsoft, Google, Amazon, Meta, and Oracle, and the power grids behind them. Above that sit model labs such as OpenAI, Anthropic, Google DeepMind, and open-weight labs, followed by routing layers like OpenRouter and agent harnesses such as Claude Code and Codex.
Resource links are provided for further reading and watching. The video suits newcomers and professionals who want a structured overview of how AI works, who builds it, and how to apply it to knowledge work, business, and personal projects.
📺 Source: Nick Saraev · Published October 16, 2026
🏷️ Format: Course Lesson
