Leaders fix roles once and create drifting responsibility that degrades outcomes
Leaders expect ChatGPT use to stabilize roles, but responsibilities drift instead as usage evolves. Because roles are defined once and not updated as conditions change, informal ownership emerges over time, creating confusion that distorts decisions and reduces performance.
Leaders expect stable responsibility after the initial setup
Leaders assign responsibilities for ChatGPT use once and treat the setup as complete.
They assume these roles will remain valid even as usage and demands evolve.
This leads them to believe stable responsibilities will sustain consistent execution over time.
People adapt roles informally as situations change
Leaders do not revisit or update responsibilities as usage evolves.
In response, people begin to adjust ownership informally as new situations arise.
This leads to parallel interpretations of responsibility that remain misaligned and manifest as inconsistent behavior.
One-time definition leads to unmanaged change and informal ownership
Leaders define responsibilities once and then stop monitoring how conditions change.
As new demands arise, no formal updates are made, creating ownership gaps.
This repeated improvisation accumulates into shifting informal roles that diverge further from the original definition.
Misinterpreted outcomes distort decisions and reduce performance
Leaders observe duplicated efforts and missing tasks, but still interpret outcomes based on the original roles.
Because actual ownership has shifted, they misattribute delays and overlaps to individual behavior rather than to structural gaps.
This misinterpretation drives flawed decisions, reinforces the broken structure, and steadily reduces coordination and performance.
Note: We use the term “ChatGPT” as a shorthand for ChatGPT and similar tools such as Anthropic Claude, Google Gemini, Microsoft Copilot, and custom GenAI chatbots.