The article explores how artificial intelligence is poised to revolutionize investment banking and wealth management by 2030. According to industry experts and executives, AI will significantly transform traditional banking roles, with estimates suggesting that 30% of investment banking jobs could be automated by 2030. Key areas of impact include deal sourcing, where AI will help identify potential M&A opportunities more efficiently; due diligence processes, which will be streamlined through automated document analysis; and financial modeling, where AI will enhance accuracy and speed. The wealth management sector will see AI-driven personalization of investment advice, automated portfolio rebalancing, and improved risk assessment capabilities. However, the article emphasizes that AI won’t completely replace human bankers, but rather augment their capabilities. High-touch client relationships and complex strategic decisions will still require human expertise. Banks are expected to invest heavily in AI training for employees, creating hybrid roles that combine traditional banking skills with AI expertise. The transformation will likely lead to job displacement in certain areas but also create new opportunities in AI-related positions. Major financial institutions are already investing billions in AI infrastructure and talent, with Goldman Sachs, JPMorgan, and Morgan Stanley leading the charge. The article concludes that successful adaptation to AI integration will be crucial for maintaining competitive advantage in the financial services industry.