## TL;DR
Generative AI creates novel content — text, images, code, audio, and video — representing the most commercially significant AI breakthrough since deep learning. Foundation models powering generative AI are reshaping creative industries and enterprise workflows.

## Core Explanation
Three architectural paradigms: autoregressive (GPT — predict next token), diffusion (Stable Diffusion — iteratively denoise random noise into images), and GANs (adversarial game between generator and discriminator). Multimodal models unify these into single architectures (GPT-4V, Gemini).

## Detailed Analysis
Enterprise use cases: code generation (Copilot increases developer productivity 55%), content marketing, customer support chatbots, drug molecule generation (AlphaFold 3), and document summarization. Retrieval-augmented generation (RAG) grounds model outputs in enterprise knowledge bases.

## Further Reading
- Andreessen Horowitz: AI Canon
- State of AI Report (Air Street Capital)
- Stanford HAI: AI Index Report