On September 11, OpenAI officially extended its artificial intelligence reach into the core business of Wall Street. On September 10, OpenAI launched a new product specifically tailored for investment bankers and equity researchers—'ChatGPT for Financial Services.' This product was developed in deep collaboration with Morgan Stanley and Evercore, aiming to create a one-stop workflow covering 'data research, financial modeling, and client materials preparation,' sparking discussions in the market about whether junior financial researchers will be replaced. The product is equipped with the latest GPT-6 Astra model and directly integrates high-quality financial datasets from top institutions such as PitchBook, Daloopa, LSEG, and Crunchbase. Users can access data without cumbersome interface configurations and benefit from precise sourcing highlights, avoiding the 'data hallucination' often associated with generative AI. The system supports embedding company-specific Excel, Word, and PowerPoint style guides, can automatically complete complex income statement standardization and valuation analysis, and instantly generate research reports and pitch materials that fully comply with institutional formatting requirements. Although OpenAI officially positions it as a productivity tool to enhance industry efficiency (similar to Excel in its early days), many industry insiders point out that the workload of junior analysts involving basic data extraction, model building, and PowerPoint creation will face significant compression, potentially leading to a profound restructuring of the entry-level job landscape in the industry.