Good morning! 🤖 I came across a very thought-provoking report from Massachusetts Institute of Technology that raises a concern we should all take seriously. What happens to learning when AI can complete almost any written assignment, solve complex problems, and produce answers in seconds? MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training spent five months examining this challenge. One of the concepts that stood out to me is “cognitive surrender”: the tendency to turn to AI at the first sign of difficulty instead of struggling with a problem, questioning assumptions, and developing our own understanding. This is what worries me most. Learning has never been just about getting the right answer. It is about the process of reaching it: asking questions, making mistakes, testing ideas, developing critical thinking, and learning how to deal with uncertainty. If AI takes over that process, we may become more productive in the short term while becoming less capable of thinking independently in the long term. The answer is not necessarily to ban AI. MIT advocates a principle that I find particularly important:Augmentation, not automation. I believe this debate goes far beyond education. It applies to organisations, leadership, and the workplace. Are we using AI to help people develop their capabilities, or simply automating tasks without considering what happens to the skills and judgement we need to retain? The real challenge is not teaching people how to use AI. It is ensuring that, as AI becomes more capable, we continue to develop our own capabilities. 🎯 Technology should make us better at thinking, not make thinking optional. What do you think? Are we paying enough attention to the long-term impact of AI on our ability to learn, reason, and think independently? 📄 Read the original MIT report: https://aiandeducation.mit.edu/report/ Ricardo #ArtificialIntelligence #AI #Education #CriticalThinking #FutureOfWork HumanSkills Learning DigitalTransformation ResponsibleAI