“Fast, cheap, or good — pick two.” If you’ve ever sat in a project room, you’ve heard it. The iron triangle, rolled out like some eternal law of physics. More often than not, it felt like a way to close down a conversation — to shut off possibility.
As someone who’s always leaned toward servant leadership, I never liked using the triangle as a stick. My job was never to squeeze more out of people by pointing at the corners. It was to protect the team, hold space for quality, and find a path through the mess.
But here we are in a new era: AI at the table. Not replacing the team, not managing the project — but definitely changing the geometry.
Speed: No Longer the Bottleneck
Humans work in rhythms: sprints, workshops, deep focus. AI doesn’t. It just delivers — seconds, not days. Suddenly, speed doesn’t feel scarce anymore.
But speed on its own doesn’t mean much. I’ve seen AI generate brilliant drafts and nonsense with equal confidence. The paradox: faster output means slower reflection, unless we make space for it. Speed has to serve, not dictate.
Quality: Still a Human Craft
People bring context, empathy, and the ability to read what wasn’t said. That’s what makes human quality so resilient.
AI mirrors us back. If the brief is vague, the output is vague. If it’s clear, the result can be sharp, even dazzling. But the spark — the creative leap, the intuition of what the client really meant — that’s still ours. I don’t see that changing.
Budget: The Hidden Work
AI doesn’t ask for overtime or travel expenses. But it does create hidden work: preparing data, checking hallucinations, correcting subtle errors. The costs don’t disappear — they just change shape.
Yet, used well, AI can genuinely expand what we can deliver with the same resources. It’s not about replacing people. It’s about freeing them from the repetitive and making room for the meaningful.
Bending, Not Breaking
So does the iron triangle still stand? I think so. But it bends now.
- Speed stretches toward abundance.
- Budget stretches toward efficiency, with asterisks.
- Quality remains stubbornly human at the core.
And maybe that’s the invitation for us as leaders: to stop using the triangle as a wall, and start treating it as a space we can reshape. AI helps bend it, but it’s still up to us to protect the people doing the work, to keep quality alive, and to ask better questions when we brief — both humans and machines.
Because in the end, briefing well isn’t just about outputs. It’s about respect — for the people, for the process, and for the work itself.
Further Reading
For those curious to dig deeper, here are a few pieces that explore these themes:
- Homolak, D. (2024). “Garbage In – Garbage Out!” Still Applies with Gen AI. Integreon – AI Insights. Read here
- Shelver, A.-L. (2023). AI will change briefing forever, but it requires we get better at it too. BriefMapp. Read here
- Chang, S. (2023). Teaching AI to Clarify: Handling Assumptions and Ambiguity in Language Models. Read here
- Becker, J. et al. (2025). Measuring the Impact of Early-2025 AI on Developer Productivity. METR RCT Study. Read here
- Pangeanic (2025). AI Won’t Replace You—But This Will: The Professionals Who Adapt. Read here
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