Biological Intelligence vs AI: what machines still don’t know how to do… and why it matters to managers

Intelligence Biologique vs IA: ce que les machines ne savent toujours pas faire… et pourquoi ça compte pour les managers

Philippe Jean-Baptiste ()
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Philippe Jean-Baptiste: LEST - Laboratoire d'Economie et de Sociologie du Travail - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique

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Abstract: As generative artificial intelligences (GAIs) gain in performance, their integration into managerial contexts raises profound issues. The article opens up perspectives on the possible forms of hybridization between AI and management, focusing on non-substitutable, disembodied and probabilistic skills, and embodied, contextual and relational biological intelligence. Based on a critical review and illustrative cases, he shows that certain human skills - interpretation, arbitration, empathy - remain difficult to automate. Far from replacing managers, AI calls for a redefinition of their roles: mediators between technology and meaning, guarantors of ethics and the quality of interactions. The article thus opens up perspectives on possible forms of hybridization between AI and management, emphasizing the non-substitutable skills to be preserved and developed in organizations.

Keywords: Competence; human skills; managerial decision; IAG; Artificial Intelligence; Generative AI; AI limits; management; Intelligence artificielle; IA Générative; limites de l'IA; Compétence; compétences humaines; décision managériale (search for similar items in EconPapers)
Date: 2025
Note: View the original document on HAL open archive server: https://hal.science/hal-05117915v1
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Published in Management & Data Science, 2025, https://management-datascience.org/articles/54934/

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05117915

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