THE
PARTICIPATORY
INTELLIGENCE
MANIFESTO
A Manifesto for Humans in the Age of Artificial Intelligence
WE’RE LOSING WHAT MAKES WORK HUMAN
Look around your organization. The work that once taught people how to think through complexity is gone, automated, or eliminated in the name of efficiency.
The messy meetings where disagreement could surface have been replaced by slide decks delivered to distracted audiences in silent rooms and by documents that everyone can edit, but no one discusses.
The muscles required to sit with ambiguity, to hold tension, and to choose the unpopular path have weakened from disuse.
And you’ve seen the result. Strategies that make perfect sense but never gain traction. Initiatives that launch big and die quietly.
Not because the plans are wrong, but because the teams expected to execute had no part in building them. They inherit conclusions, yet no longer own the struggles that produced them.
We are becoming organizations drowning in brilliant recommendations: rooted in AI, delivered by consultants, backed by data, yet resented by the people expected to act on them.
WE’RE LOSING WHAT MAKES WORK HUMAN
Look around your organization. The work that once taught people how to think through complexity is gone, automated, or eliminated in the name of efficiency.
The messy meetings where disagreement could surface have been replaced by slide decks delivered to distracted audiences in silent rooms and by documents that everyone can edit, but no one discusses.
The muscles required to sit with ambiguity, to hold tension, and to choose the unpopular path have weakened from disuse.
And you’ve seen the result. Strategies that make perfect sense but never gain traction. Initiatives that launch big and die quietly.
Not because the plans are wrong, but because the teams expected to execute had no part in building them. They inherit conclusions, yet no longer own the struggles that produced them.
We are becoming organizations drowning in brilliant recommendations: rooted in AI, delivered by consultants, backed by data, yet resented by the people expected to act on them.