Ethan Mollick
VERIFIED TECHNICAL DOSSIERSources checked

Ethan Mollick

Professor of Management at Wharton | Author of Co-Intelligence

2 Verified ArtifactsSource Checked & Attributed

Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Ethan Mollick. Every entry undergoes editorial source verification.

#1
EXPLANATION Checked Sep 23, 2026

Co-Intelligence: Practical Principles for Augmented Human-AI Collaboration

Formulated the foundational operational principles for knowledge worker augmentation—defining the 'Jagged Frontier' where AI excels unpredictably, human-in-the-loop oversight rules, and structured prompt roles that elevate analytical rigor across business strategy.

Model & Execution Context:Claude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro. Applied across Fortune 500 strategic planning and Wharton executive education.
Scope & Limitations

Requires practitioners to continually probe model capabilities as boundaries shift rapidly across new model checkpoint releases.

#2
IMPLEMENTATION Checked Sep 23, 2026

Centaur and Cyborg Consulting Workflows: Empirical Productivity Study

Conducted controlled randomized trials with Boston Consulting Group (BCG) consultants evaluating 18 realistic business tasks. Documented that AI-augmented professionals completed tasks 25.1% faster with over 40% higher rated quality, differentiating between 'Centaur' (divided task) and 'Cyborg' (interwoven iteration) workflows.

Model & Execution Context:GPT-4 benchmarked against BCG management consulting strategic deliverables.
Scope & Limitations

Identified a performance drop when consultants over-relied on LLMs for tasks beyond the model's actual reasoning horizon without critical inspection.