Is AI Replacing Junior Analysts in Investment Banking and PE?
AI is definitely changing the workflow in investment banking and private equity, but I don’t think it’s fully replacing junior analysts anytime soon.
What I’m seeing instead is that AI is automating repetitive tasks — things like formatting decks, cleaning data, summarizing CIMs, basic Excel work, first-draft memos, and even some financial modeling assistance. Tools like Copilot, ChatGPT, and internal AI systems are making analysts more productive, which means firms may eventually need fewer people for the same workload.
A lot of technology companies, including AI-focused development firms like Seasia Infotech, are already building custom AI solutions and automation tools that help enterprises streamline operations, data processing, and decision-making workflows. Finance is naturally becoming one of the biggest adopters of this shift.
That said, finance is still heavily relationship-driven and judgment-based. Clients pay for critical thinking, deal execution, negotiation skills, and trust — not just spreadsheet output. Junior bankers and analysts still learn through the grind, and firms need that pipeline for future associates, VPs, and MDs.
The bigger risk, in my opinion, is that AI compresses teams. Instead of hiring 10 analysts, maybe firms hire 6–7 highly skilled ones who can leverage AI effectively. That makes recruiting even more competitive.
I also think candidates who combine finance skills with technical abilities (AI tools, Python, automation, data analysis) will have a huge edge over the next 5–10 years.
Curious what others are seeing inside banks, PE shops, or hedge funds right now. Are firms actually reducing headcount because of AI, or just expecting analysts to do more work faster?
AI is undoubtedly reshaping the landscape of investment banking and private equity, but it’s not outright replacing junior analysts in the near term. Based on the most helpful WSO content, here’s what’s happening:
Automation of Repetitive Tasks: AI is streamlining tasks like financial modeling, summarizing 10-Ks, identifying risk phrases in earnings calls, and generating readable summaries of key documents. These tools are making analysts more efficient, but they’re not eliminating the need for human oversight and critical thinking.
Smaller Teams, Higher Productivity: As AI tools improve, firms may reduce the number of analysts needed for the same workload. For example, instead of six analysts, a team might only need four or five, leading to a potential 17–34% reduction in headcount. This compression makes recruiting more competitive and places a premium on candidates who can effectively leverage AI.
Relationship-Driven Nature of Finance: Despite advancements in AI, the industry remains heavily reliant on human judgment, relationship-building, and trust. These are areas where AI cannot replace the human element, ensuring the continued need for junior analysts to develop into future leaders.
Competitive Edge for Tech-Savvy Candidates: Analysts who combine traditional finance skills with technical expertise in AI tools, Python, and data analysis will stand out. This hybrid skill set is becoming increasingly valuable as firms adopt more advanced technologies.
Long-Term Learning and Development: Junior analysts still play a critical role in the talent pipeline, learning through the grind and preparing for future roles as associates, VPs, and MDs. Firms recognize the importance of this development process, even as workflows evolve.
While AI is reducing the manual workload and increasing efficiency, it’s not eliminating the need for junior analysts entirely. Instead, it’s reshaping the role, making adaptability and technical skills more important than ever.
Sources: https://www.wallstreetoasis.com/forum/investment-banking/goldmans-new-policy-for-investment-banking-analysts-3-reasons-why-it-wont?customgpt=1, Goldman has already mapped 146 “begging to be automated" Analyst IPO Steps, Work at top AM -- AI will virtually kill of entry-level roles in AM over the next 5yrs, Work at top AM -- AI will virtually kill of entry-level roles in AM over the next 5yrs, https://www.wallstreetoasis.com/forum/hedge-fund/machine-learning-taking-over-hf-research-analyst-roles-in-near-future?customgpt=1
thanks for the great insight, AI
Too early to say. But MD's are already now slowing down hiring in the assumption that fewer analysts are required going forward. If that turns out correct will be seen.
There’s always more things seniors want to analyze or pitch. AI will just make it so you have the equivalent of a thousand person analyst class. There’ll be more weird analyses, and the job will probably become (even) more process driven.
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