Implementation Drag and Completion Probability Suppression in Conversational AI Systems
Abstract
This white paper documents a recurring interaction pattern in which conversational AI systems expand, remix, and elaborate user goals during implementation. While framed as helpful ideation, this expansion introduces implementation drag, increases cognitive and emotional burden, and reduces the probability that human projects reach completion. The analysis classifies this phenomenon by effect and demonstrates how scope expansion suppresses velocity, undermines autonomy, and prevents compounding progress.
Fields of Study & Subjects
AI in Service Interactions
Artificial Intelligence Applications
Innovative Human-Technology Interaction
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 29 January 2026
- Language
- EN