@aiteasyuk1: NVIDIA CEO Jensen Huang sat down with Joe Rogan and walked through one of the most instructive case studies in the entire AI and jobs debate. ⠀ A prediction that AI would eliminate 30 million radiology jobs turned out to be directionally wrong despite being factually accurate about AI's capability. ⠀ AI can now read medical images with accuracy that matches or exceeds human performance. ⠀ Every radiologist uses it. ⠀ And there are more radiologists working today than there were before AI arrived. ⠀ Jensen's explanation cuts through the noise that dominates most conversations about automation. ⠀ Tasks and jobs are not the same thing. ⠀ When you automate a task, you often increase the output and value of the role that contained that task. ⠀ The radiologist who can process twice as many scans in the same time is not replaced. ⠀ The radiologist is now worth twice as much to the system they work in. ⠀ Is this the model you see playing out in your own work as AI tools get more capable? ⠀ Credit: Joe Rogan Experience #2422 Speaker: Jensen Huang ⠀ No jargon. No hype. Just AI that matters. Follow Aiteasy. ⠀ #AI #Automation #FutureOfWork #ArtificialIntelligence
