Worker-AI Preference Mismatch

The gap between what managers/organizations want from AI (efficiency, cost reduction) and what workers want (augmentation, meaningful work, job security).

The Mismatch

Management Preferences:

• Automation of routine tasks
• Reduced headcount
• Consistent, auditable outputs
• Cost optimization

Worker Preferences:

• Tools that enhance capabilities
• Elimination of tedious work (not elimination of jobs)
• Skill development opportunities
• Meaningful human contribution

Consequences of Ignoring

• Resistance to AI adoption
• Shadow AI (unofficial tool use)
• Loss of institutional knowledge
• Reduced morale and trust

Resolution Approaches

Worker-Centered Design: Involve workers in AI system design Augmentation Framing: Position AI as capability enhancer Reskilling Investment: Pair automation with learning opportunities Transparent Communication: Honest dialogue about impacts

Related: 01-molecule—human-ai-configuration-concept, 07-molecule—hybrid-human-ai-workflows