Co-Intelligence and the Reconfiguration of Human Work and Learning
A Critical Review of Ethan Mollick’s Living and Working with AI
DOI:
https://doi.org/10.55613/jeet.v36i1.223Keywords:
Artificial intelligence; Co-Intelligence; Human–AI Collaboration; Education and AI; Future of Work; Generative TechnologiesAbstract
Ethan Mollick’s Co-Intelligence: Living and Working with AI offers a timely and accessible examination of generative artificial intelligence as a transformative general-purpose technology. Written at a moment of rapid technological acceleration, the book advances the concept of “Co-Intelligence” to describe emerging forms of collaboration between humans and large language models. This review critically evaluates Mollick’s central arguments, situating the book within contemporary debates on artificial intelligence, education, and the future of work. It assesses the theoretical framing, narrative structure, and empirical claims presented across the volume, with particular attention to its implications for learning, productivity, and professional practice. While the book succeeds in translating complex technical developments for a broad readership, it also raises unresolved questions concerning power, ethics, and institutional responsibility. Overall, the work constitutes an influential intervention in current discussions on how societies might meaningfully adapt to AI-mediated futures.
References
References
1. Brynjolfsson, E., Li, D. & Raymond, L. (2025). Generative AI at Work. The Quarterly Journal of Economics. https://doi.org/10.1093/qje/qjae044 DOI: https://doi.org/10.1093/qje/qjae044
2. Noy, S. and Zhang, W. (2023). Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4375283 DOI: https://doi.org/10.2139/ssrn.4375283
3. Bloom, B. (1984). The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring. Educational Researcher,13(6), 4-.16 https://doi.org/10.3102/0013189x013006004 DOI: https://doi.org/10.3102/0013189X013006004
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