The loudest part of the conversation about artificial intelligence right now is focused on what AI produces. Can you detect it? Does it have tells? Is this essay, image, or report human-made or machine-made?
It's a reasonable place to start. But it's not where the most important transformation is happening.
In Episode 75 of Modem Futura, host Sean Leahy and co-host Andrew Maynard explore what Sean calls the invisible upgrade — the quiet, compounding cognitive shift taking place not in AI-generated artifacts, but in the minds and workflows of the people who have fully integrated these tools into how they think, create, and decide.
The Seam-Scanning Problem
Sean introduces the concept of "seam scanning" — the practice of looking for signs of AI in a piece of work. Early on, those seams were easy to spot: nine-fingered hands in AI images, suspicious em-dashes, the word "delve" where it didn't belong. But as AI systems become more sophisticated and more deeply woven into human workflows, those tells are disappearing. Not because the AI is getting better at hiding — but because the line between human and AI output is becoming genuinely indistinguishable when the integration is deep enough.
The question "how much AI did you use?" is becoming as meaningful, Sean argues, as asking a writer how much spellcheck they used. The tool has become part of the process.
Constitutive Resonance
Andrew brings a concept he's been developing to the conversation: constitutive resonance. Unlike a calculator, which you use and put down, AI reconfigures you as you use it — and is reconfigured in return. The relationship is recursive and dynamic. Drawing on physics, when two systems resonate at coupled frequencies, the exchange of energy between them can be transformative. Applied to human cognition and AI systems, this suggests that those who engage deeply with AI tools aren't just more productive — they are thinking differently, possibly in ways that are difficult to reverse.
This maps directly onto McLuhan's 1967 insight: all media work us over completely. AI, as Andrew and Sean explore, is the most cognitively-coupled medium humanity has ever produced.
The Productivity Gap
What emerges from this isn't just a philosophical concern — it's a structural divergence. A growing group of knowledge workers, students, and researchers are operating with what Sean calls a "multiplier effect" — not because they are inherently smarter, but because their total cognitive output, the speed and depth of synthesis, ideation, and iteration, has expanded significantly. Meanwhile, those still debating whether to engage are falling further behind, not necessarily in skill, but in thinking capacity.
The episode also explores the rise of multi-agent AI systems as what Andrew calls a step-change likely bigger than the launch of ChatGPT — and what it means for institutions, education, and our understanding of what individual human contribution actually looks like in a world where AI is already inside the walls.
