Long working hours have long been the norm in Wall Street investment banks, with the “996” work schedule (9 a.m. to 9 p.m., six days a week) being a common reality for many junior analysts. However, with the widespread adoption of Artificial Intelligence (AI) and automation tools, the industry is beginning to question whether this culture of overwork might disappear in the future.
Daily tasks in investment banks involve a large amount of repetitive work, such as data organization, financial report analysis, modeling, and pitch book preparation. Traditionally, analysts spent significant time completing these tasks, especially during quarterly earnings seasons and major transactions, which often led to long hours. Today, AI tools can process these tasks quickly, automatically generating reports, analyzing trends, and producing visual charts, greatly improving efficiency.
However, AI cannot fully replace all aspects of the job. Tasks involving strategic judgment, client communication, and market decision-making still rely on human experience and insight. This means that while Automation can alleviate some workload pressure, the core characteristics of investment banking’s high-intensity, fast-paced culture are unlikely to disappear in the short term.
For junior analysts, this shift means their work approach will change: repetitive tasks will decrease, allowing more focus on value creation and client relationships. At the same time, mastering AI tools and data analysis skills has become essential. Professionals who are proficient in Machine Learning and data visualization tools will have a competitive edge in the workplace.
In the long term, the introduction of AI is expected to gradually optimize investment banking culture. Institutions can use intelligent systems to complete data organization and model calculations in advance, allowing analysts to focus more on investment strategy and decision-making. This not only helps reduce overtime but may also improve employees’ work-life balance to some extent.
Additionally, demand for hybrid talents in financial institutions continues to grow. Beyond traditional financial knowledge, professionals who understand technology and can apply AI are highly sought after. In areas such as Financial Technology (FinTech) and quantitative analysis, these skills may even become key career advancement criteria.
Overall, AI will not immediately eliminate the “996 culture” on Wall Street, but it is changing how work is performed, improving efficiency, and driving the industry toward more intelligent and professional operations. The future investment banking workplace will be an era of Digital Transformation combined with human experience, where employees who master AI tools will hold a significant competitive advantage.
