Define the AI PM Standard

Define the AI PM Standard
The Definitive Case for AI-Augmented Program Management and Its Future
>While the other editions in this series serve practitioners, leaders, and organizations, this one serves the discipline itself. It provides the theoretical framework, research methodology, and evidence-based predictions that position AI-augmented program management as a legitimate professional practice - not a trend, but a structural transformation in how knowledge work operates.

Drawing on complexity theory, sociotechnical systems research, innovation diffusion models, and measured evidence from practice, this edition provides:
- A formal theoretical framework grounding the PPP model in established research traditions
- The complexity-based argument for differential automation (why some PM work resists algorithmic solution while other work benefits enormously)
- Comparative analysis with established frameworks (SAFe, PMBOK 7, Disciplined Agile, Lean PM)
- Evidence-based predictions for 2026-2030: adoption curves, capability trajectories, role evolution
- Complete research methodology documentation (single-subject design, interrupted time series, limitations)
>Written for thought leaders, researchers, academics, and senior practitioners who shape the field's direction. This isn't a how-to book. It's a what-this-means book.