Investment banks are making a significant push toward artificial intelligence (AI) adoption in 2025, aiming to automate tedious tasks traditionally handled by junior bankers. Major financial institutions such as Goldman Sachs, JPMorgan, and UBS are at the forefront of this technological shift, leveraging AI to improve efficiency and productivity.

How AI is Transforming Junior Roles in Banking
Historically, junior bankers have been responsible for repetitive tasks such as data analysis, financial modeling, and document revisions. While these duties are essential, they often consume valuable time that could be better spent on strategic work.
With the implementation of AI-powered tools, these tasks can now be automated, allowing junior bankers to focus on more analytical and client-facing responsibilities. UBS Global Banking Head Nestor Paz-Galindo highlights this shift, noting that AI is a continuation of banking’s long-term trend toward efficiency.
Will AI Reduce Investment Banking Jobs?
One of the biggest concerns surrounding AI in finance is its impact on job opportunities. While AI is expected to reduce the need for manual work, it is unlikely to replace junior bankers entirely. Instead, industry experts predict a shift in required skills, where firms prioritize candidates with:
- Critical thinking and problem-solving abilities
- Strong communication and interpersonal skills
- AI and data analytics proficiency
According to Jefferies EMEA Head of Investment Banking, Dominic Lester, AI will enable junior bankers to work more efficiently. However, those who excel in insight, judgment, and teamwork will stand out in an increasingly AI-driven banking environment.
Concerns Among Junior Bankers: Is AI Taking Away Learning Opportunities?
While AI promises efficiency, some junior bankers fear that automating routine tasks could hinder their career development. Many argue that performing “grunt work” is a crucial learning phase, helping them build a strong foundation in financial analysis and industry insights.
This concern highlights the need for investment banks to strike a balance—leveraging AI for efficiency while ensuring junior bankers gain the experience necessary to grow into senior roles.
The Future of AI in Investment Banking
As investment banks integrate AI in 2025, they must navigate both the opportunities and challenges that come with automation. AI has the potential to reshape the industry by:
- Reducing manual workload and improving efficiency
- Enhancing data analysis capabilities for better decision-making
- Changing hiring strategies to favor tech-savvy professionals
While AI adoption is inevitable, investment banks must ensure that their workforce is prepared, adaptable, and equipped to thrive in a rapidly evolving digital landscape.