Insights
Practical writing on AI for project managers and PMOs
Honest takes, working prompts, and field-tested workflows. No listicles, no hype.
AI Project Delivery FAQ: Job Security, Tools, Certifications & Getting Started
Will AI replace PMs? Which tool is best? How do I get started? Do I need a certification? The questions we hear most often, answered honestly.
Is Project Management a Safe Career in the Age of AI?
Which PM roles are shrinking, which are compounding, and the three moves that keep your career on the growing side of the AI curve.
How AI Helps in Project Management: A Practical Playbook
Five workflows AI does well, five hours a week back, and a 30-day rollout you can start on Monday — without creating new delivery risk.
ChatGPT vs Copilot vs Gemini for Project Managers
The three AI tools every PM asks about, compared honestly — and a simple rule for picking the one your organisation will actually use.
What Is AI in Project Management? A Clear Definition for Delivery Leads
A plain definition, a working mental model, and the difference between augmented and AI-dependent project management.
AI Project Management Certifications: PMI CPMAI and the Alternatives
PMI CPMAI, Google, Microsoft, and applied paths compared — plus a pragmatic rule for when a credential actually moves the needle.
Why agentic project management is overhyped — for now
Every vendor deck has a slide on agentic PM. The demos look great. The production deployments don't exist. An honest read on what's real, what's not, and what to plan for.
AI delivery metrics that actually matter
Every PMO measuring AI usage in 2026 is measuring the wrong things. Why prompts-per-user and hours-saved tell you nothing — and the five outcome metrics that do.
Why your PMO's AI policy is already out of date
Most PMO AI policies were drafted in 2024 and scheduled for annual review. The models they were written about have been replaced three times. The fix isn't another committee.
The PM skills AI makes more valuable, not less
The default narrative is half right. AI commoditises the easy parts of PM work — and quietly makes the hard parts more valuable per hour. The six that compound.
What separates an augmented PM from an AI-dependent one
From the outside they look identical. Six months later one is being promoted and the other is losing the room. The distinction nobody is naming explicitly.
AI project manager vs traditional project manager: the real differences
Three things people mean by 'AI project manager', what actually changes in the role, and why calling someone an AI PM in 2026 is like calling someone a spreadsheet accountant in 2010.
The 2026 state of AI in project management
Eighteen months on, the dust is settling. Adoption is wider but shallower than the headlines suggest, and the AI-fluent quartile is opening a real gap.
AI hallucinations in delivery: a field log
Forget the cartoon case. The hallucinations that hurt delivery work are small, plausible, and specific. Five we've seen — and how they slipped through.
The hidden cost of AI-generated status reports
AI saves you 90 minutes on the status pack. It also quietly erodes the meta-signal stakeholders read packs for. The trade you're actually making.
Why most PMs' AI pilots stall after 60 days
The pattern is almost boring: week six looks great, month three has collapsed back to two enthusiasts. Why AI pilots stall — and what survives.
How project managers should actually use AI in 2026
Skip the listicles. Five places AI genuinely helps a PM, a prompting pattern that works for delivery work, and a 30-day plan to change how you work.
Will AI replace project managers? An honest answer
AI replaces tasks, not roles. The PMs who lose out are the ones whose job was 80% drafting documents. The ones who lead people and own outcomes get more valuable.
The best AI tools for project managers — honestly compared
Skip the listicles. A working PM needs one general-purpose AI (ChatGPT, Claude or Gemini) plus one meeting tool. Everything else is noise.