In early May 2026, Ken Griffin, the billionaire hedge fund manager and founder of Citadel, held a pivotal conversation at Stanford Business School where he reflected on his previous skepticism regarding artificial intelligence (AI) in the finance sector. Up until recently, particularly at the World Economic Forum in Davos in January 2026, Griffin had openly dismissed AI technology, suggesting that it was merely 'garbage' beneath its impressive facade. However, a series of experiences changed his perspective, leading him to feel a sense of urgency and depression about AI's potential impact on society and the workforce. Griffin's transformation began when he witnessed the capabilities of AI at Citadel, where the technology had advanced significantly compared to just a few months prior. He noted that AI was now able to conduct complex financial research that previously required teams of highly educated experts. Tasks that took weeks or months for teams with master's degrees and PhDs in finance were now being completed in mere hours or days by AI systems. This shift illustrated the deepening integration of AI into high-level research and knowledge work, starkly contrasting with the more modest productivity gains seen in areas like software engineering, which he estimated at 15-25%. During the Milken Institute's Global Conference shortly before his Stanford remarks, Griffin actively engaged with CEOs to learn about how AI was transforming their businesses. The responses he received, describing various extraordinary applications of AI, further emphasized the dramatic capabilities of the technology. The dramatic differences he observed and learned about in the use of AI tools made a memorable impact on him, leading him to warn that adaptability was essential for future career success. He urged the importance of lifelong learning, especially as AI continues to evolve. Griffin’s new perspective is particularly significant against the backdrop of his prior warnings about AI's implications for jobs in finance and beyond. He had cautioned that fears about a drastic reduction of entry-level jobs due to AI were largely overstated and driven by overzealous advocates of AI on Wall Street. Now recognizing the transformative potential of AI, he issued a pointed message to students and young professionals: success will increasingly be defined by one's ability to adapt and learn continually amidst rapid technological changes. This change in mindset, along with his call for adaptability, highlights the critical intersection between evolving technology and the future landscape of work, emphasizing that the workforce must be prepared for ongoing transformation.