AI for Project Managers
A tool in your toolbox — not a replacement for the human work that matters.
When AI runs everything, something else suffers
Used well, AI saves time on drafts, summaries, and prep. Used without limits, it can quietly replace the conversations, thinking, and ownership that hold teams together.
- Stakeholder updates written entirely by AI — without you in the room
- Decisions supported by output nobody reviewed carefully
- Less back-and-forth, less nuance, less trust
Your job as PM: decide what to delegate — and what must stay human.
Connection and well-being at work
Research on longevity and well-being points to social connection and meaning — and much of that meaning comes from work and workplace relationships.
“Many individuals could soon realize that human friendships at work are no longer necessary because AI is always agreeable, friendly, patient, and accessible.” Dr. Cornelia C. Walther, via Thomson Reuters Institute (Feb 2026)
Easy AI chat is not the same as navigating real colleagues — complexity, pushback, personality, trust. When PMs stop facilitating human conversation, programs drift.
Overwhelmed by the tool avalanche
New AI tools keep landing while workloads already feel heavier — a paradox of mandates and pressure.
“Unknowingly, we are sliding down the slippery slope of agency decay… people feel constantly overwhelmed.” Dr. Cornelia C. Walther
Pick a few tools. Use them deliberately. Don’t let the maze run you.
Skills, learning, and purpose
- Cognitive engagement — when we stop doing hard thinking, those muscles weaken (brain plasticity needs use)
- 37% of employees worry overreliance on AI could erode their skills (EY, cited in Thomson Reuters)
- Meaning — MIT research: sense of meaning at work matters more than pay, benefits, or promotion for many employees
“Delegating tasks to AI… is gradually turning us into cognitive factory workers… we feel neither ownership, nor pride for the final creation.” Dr. Cornelia C. Walther
The balance: hybrid intelligence
The answer isn’t rejecting AI — it’s pairing human literacy (judgment, relationships, ethics) with algorithmic literacy (knowing what to ask and how to verify).
- You still facilitate, decide, and own outcomes
- AI drafts, summarizes, and accelerates — you review and refine
- Protect time for people: 1:1s, hard conversations, alignment
Source: The human side of AI — Natalie Runyon, Thomson Reuters Institute (Feb 2026)
1 — This HTML presentation
A horizontal slide deck in the browser — same look as my site, no PowerPoint required for sharing. Built with AI-assisted coding; structure, story, and citations are mine.
2 — Team onboarding app
A simple web checklist for new team members — links, tasks, and milestones in one place instead of scattered docs and email threads.
- Lightweight — no heavy platform rollout
- Easy to update as the team evolves
- Human touch: I still walk people through it live
3 — Portfolio management view
A custom portfolio dashboard — initiatives, milestones, and delivery status in one view when off-the-shelf tools didn’t match how we actually run programs.
- Hierarchy that matches how leaders ask questions
- Export and reporting for status rhythms
- Still maintained by people — AI helped build it, not run it
Chromatic Guide
- Guardrails — approved tools, safe use, review habits
- Prompt library — how to ask, use cases, copy-paste prompts
- This presentation — share the link; use ← → keys
- About — why this site exists
- LinkedIn — connect and follow up
Three things to try this month
- One task you’d Google — ask AI instead; compare the answer
- One workflow — meeting notes → table with owners; you review every row
- One human moment — protect a conversation AI can’t replace
