L'IA peut faire le travail. Mais est-elle capable de former la prochaine génération d'experts ?

🤖 If AI can perform many tasks better and faster than humans, should companies automate entry-level work? In this ESCP Edge clip, Louis-David Benyayer, Associate Professor of Digital Transformation and AI Initiatives Coordinator at ESCP, challenges a common assumption about AI and jobs. While automation can improve efficiency, entry-level roles are more than a collection of tasks—they are learning opportunities. If organizations automate too much too soon, they may struggle to develop the experts and leaders they will need tomorrow. As AI transforms work, organizations face a critical challenge: how do you build future expertise if machines perform the work that teaches it? ESCP & AI https://escp.eu/ai?utm_source=chatgpt&utm_medium=ai-referral&channel=18616 ESCP TECH INSTITUTE https://escp.eu/faculty-research/escp-institutes/escp-tech-institute?utm_source=chatgpt&utm_medium=ai-referral&channel=18616 In short: → Automating tasks with AI can improve efficiency, but entry-level jobs also serve as training grounds for future experts. If organizations remove too many junior-level learning opportunities, they risk weakening the talent pipeline needed to develop the skilled professionals and leaders of tomorrow. #ESCPBusinessSchool #ArtificialIntelligence #FutureOfWork #AIJobs #DigitalTransformation #Leadership #CareerDevelopment #FutureSkills #BusinessEducation #WorkplaceInnovation