The five AI value models driving business reinvention

Organizations often treat AI as isolated use cases, which yields limited wins, unlike those that adopt a more ambitious logic by managing AI as a portfolio of five distinct value models. These models—Workforce Empowerment, AI-Native Distribution, Expert Capability Augmentation, Systems and Dependency Management (Codex), and Process Re-engineering (Agents)—each have unique economics and governance needs, but they build upon each other sequentially. Workforce empowerment builds organizational fluency, which enables workable governance, which in turn allows for deeper system integration, making dependency management possible, and finally enabling safe agent-led operations. The strategic approach involves choosing the right starting model (often workforce fluency) to build necessary foundations, capturing value at each stage, and then scaling with confidence to redesign operating and business models, rather than just accelerating legacy processes.

(Source：OpenAI)