Latin America’s AI Opportunity Depends on What Happens After the Capital Arrives

⚠️ AI could be destroying the expertise we need to control it Researchers call it the “Tragedy of the Cognitive Commons,” and it could be a bigger problem than mass unemployment. Every industry depends on experienced professionals who develop their skills through years of practice. Junior employees traditionally build that expertise by handling repetitive tasks, solving problems and learning from mistakes. But AI is increasingly taking over that entry-level work. Companies celebrate the productivity gains, yet the researchers warn that we’re potentially eliminating the very process that creates future experts. This creates what they call the “Validation Tether”: humans can only effectively supervise AI if they have enough expertise to recognize when it makes mistakes. Today’s experts can catch those errors because they spent years mastering their fields. But what happens when they retire and the next generation hasn’t had the same opportunity to learn? We could end up with AI systems that handle increasingly complex work while fewer humans possess the knowledge needed to verify their output. Source. @aipost 🏴