Rich writes about the gap between what organizations commit to and what they actually execute, the same fault line that runs through his advisory work and his teaching. The pieces here span AI transformation, delivery practices, and higher education, but the underlying question is consistent: why does change that looks like progress on a dashboard so often fail to change how work actually gets done?

Featured: Foundationally Human is a three-part series on why AI transformation metrics can look clean while the underlying organization stalls, and what it actually takes to build change that outlasts a single initiative.

• The Traction Trap — why early, visible AI wins get mistaken for transformation, and how optimizing for what's reportable quietly discourages the foundational work that actually matters.

• The Visibility Gap — why change management, positioned as a downstream function, structurally can't see workflow-level problems until the damage is already done, and why AI makes that lag worse, not better.

• The Legacy Map — the difference between leadership that delivers an initiative and leadership that builds an organization capable of absorbing the next one, using the decades-long history of London's Elizabeth Line as the throughline.

Artificial Intelligence

• Why AI ROI is Different — why traditional ROI models undersell AI's value, and why executives should evaluate AI as a strategic portfolio rather than isolated projects with near-term financial paybacks.

• Earthset to Enterprise — using Artemis II's return to the Moon as a lens: the technology is rarely the constraint. What determines success is the "Mission Control" discipline, program management, governance, workforce readiness, working in the background.

• AI Adoption – 3 Priorities that Emphasize the Human Element in the Age of Intelligence — why AI projects succeed or fail on workforce readiness more than technology: building AI literacy, investing in upskilling and reskilling, and treating organizational change management as project-specific work, not a generic training rollout.

• Higher Education & Lower Literacy — why universities policing AI use with detection and punishment are solving the wrong problem, and what it would look like to prepare students for a workforce that already expects AI fluency.

Delivery Practices

• Unlocking the Value of Project Management in Agile — Facilitate. Navigate. Orchestrate. Protect. The idea traces back further than this article: the "Protector PM" concept was profiled by Gartner in a 2018 industry report on Rich's own practice at the time, and later grew into the fuller four-part framework.

• 5 Reasons Why Portfolio Management is the Leadership Discipline You Can't Ignore — why prioritization, not effort, is what actually protects an organization's capacity, and why "if everything is a priority, nothing is."

• AI and Project Management: 3 Considerations for the PM Role — how GenAI and AI agents are reshaping, not replacing, the PM function, continuing a shift toward facilitation and human-in-the-loop oversight that agile already began.