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Abstract: The current AI conversation is loud, fast, and mostly happening at the wrong level — oscillating between civilizational alarm and breathless optimism. Neither attitude is useful. This talk is an attempt to think from above the noise: to identify the shifts that are real, durable, and already quietly underway, and to ask what they actually mean for the people and institutions navigating how we work, learn, and organize.Major technological shifts typically redistribute scarcity. What AI makes abundant is encyclopedic knowledge and convincing answers. What it makes scarce is something that cannot be delegated: the judgment to decide what is worth doing, and the agency to act on it under uncertainty.Understanding that shift, rather than reacting to the noise surrounding it, reframes what human agency means in an AI-enabled world — and who is now positioned to hold genuine competitive advantage.

About Victor Planas Bielsa

Victor Planas Bielsa is a graduate in Physics and holds a Ph.D. in Mathematics, with extensive experience in modeling, statistical analysis, and fundamental research across Finance, Business, and Biology. He currently serves as the Academic Director for Master Programs. Previously, he worked as a Senior Research Data Scientist, where he extensively used Python, R, and SQL to develop and implement machine learning algorithms and deep neural networks, focusing on complex data. He has more than 18 years of experience teaching quantitative subjects such as Machine Learning, Statistics, Programming in Python, and Quantitative Finance at the master’s level. (Source: EDHEC Business School).