Cómo dejar de estudiar IA y empezar a trabajar con IA

Most people who study AI feel like they're doing everything right: they take courses, build laptops, and practice with datasets. And yet, when they try to make the professional leap, something doesn't quite fit. The problem isn't a lack of courses. The problem is that studying AI doesn't teach you how to work with AI—they're two different mindsets. In this video, I explain the paradigm shift that almost no one mentions, and what differentiates someone who studies AI from someone who works with AI. What you'll see: The real difference between thinking like a student and thinking like a professional Why, in real-world work, the best technical decision is often not to use AI What courses don't teach you: ambiguity, trade-offs, business context The myth of continuous technical progress (and why it fuels imposter syndrome) The 3 things that change when you stop thinking like a student Chapters (tentative — adjust according to final edit): 0:00 — Why knowing AI isn't enough to work in AI 1:55 — Thinking like a student vs. thinking like a professional 4:00 — What studying doesn't train you to do 8:36 — The myth of continuous technical progress 10:03 — The mindset shift: the 3 things that happen 14:30 — The uncomfortable question Tell me in the comments: When did you realize (or are starting to realize) that studying isn't the same as working? I'm interested to know where you are in that transition. If this video gave you a perspective you can't find elsewhere, subscribe. I publish content for those who want to stop studying data and AI and start working in the industry. Follow me on social media for more Data & AI tips: 🔗 LinkedIn –   / luciano-darriba   🔗 Website – https://lucianodarriba.com/ 🧪 Datalab Workshop - https://lucianodarriba.com/datalab-wo... This channel is dedicated to people who want to change careers and land their first job in Data Science & AI. Here you'll find: ✅ Study strategies and roadmaps ✅ Tips for interviews, CVs, LinkedIn, and GitHub ✅ Projects and portfolios to stand out ✅ Guides to Python, SQL, ML, and key tools 🔔 Subscribe if you want to transform your career and enter the world of Artificial Intelligence. #DataScience #MachineLearning #AI #CareerTech #FirstJob