Leveraging AI as an SA

Title, am an incoming SA for '27 with time on my hands this summer and want to get ahead. I'm sure everyone's seen hype around different startups touting AI tools that drastically streamline junior workflows. I'm sure it's different bank to bank, but from what I've heard adoption generally lags behind the curve due to compliance.

If anyone has insights on the following, or just thoughts in general, I'd really appreciate it:

  • Do all of these tools just suck, and are just retarded Copilot wrappers that are your only option?
  • I assume it would vary by size, but are any shops planning to or have already started opening up access to more advanced tools/agents/platforms, and is it only a matter of time? 
  • Are there any AI skills (not just prompting) that are advantageous to learn at this point, if at all?
13 Comments
 

Also am incoming '27. am so bored. what else are you doing this summer now that the grind of recruiting is over?

 
[Comment removed by mod team]
 

To get ahead as an incoming Summer Analyst (SA) and leverage AI effectively, here’s what you need to know based on the most helpful WSO content:

1. AI Tools in Investment Banking

  • Adoption Challenges: While AI tools are hyped for streamlining junior workflows, adoption in banks often lags due to compliance and regulatory concerns. Many banks are cautious about integrating advanced AI platforms, especially for sensitive tasks.
  • Current State of Tools: Most AI tools currently available are basic and often act as "Copilot wrappers" for repetitive tasks like data entry, formatting, or basic analysis. They can save time but are not yet transformative for decision-making or relationship-driven aspects of banking.

2. Future of AI in Banking

  • Automation Trends: Automation and AI are expected to reduce the need for junior-level analysts over the next 5-10 years. Tasks like valuation modeling, data aggregation, and presentation creation are increasingly being automated.
  • Advanced Tools: Larger banks and tech-forward firms are exploring more advanced AI tools, but widespread access is still limited. It’s likely only a matter of time before these tools become more integrated into workflows.

3. AI Skills to Learn

  • Beyond Prompting: To stand out, focus on skills that go beyond basic AI prompting. Here are some suggestions:
    • Data Analysis: Learn Python or R for data manipulation and analysis. These skills can help you work with large datasets and automate repetitive tasks.
    • Excel Automation: Master VBA (Visual Basic for Applications) to automate Excel workflows, as Excel remains a critical tool in banking.
    • AI/ML Basics: Familiarize yourself with machine learning concepts and tools like TensorFlow or PyTorch. While not directly applicable to all banking tasks, understanding these can give you an edge in tech-forward environments.
    • APIs and Integration: Learn how to use APIs to integrate AI tools into workflows. This can be particularly useful for automating data retrieval or analysis tasks.
    • Visualization Tools: Tools like Tableau or Power BI can help you create compelling visualizations, which are increasingly valued in presentations.

4. Practical Steps for This Summer

  • Wall Street Prep Courses: Consider taking courses like the Wall Street Prep Financial Modeling Course to strengthen your technical skills.
  • Experiment with AI Tools: Test out tools like ChatGPT, Microsoft Co-Pilot, or other AI platforms to understand their capabilities and limitations.
  • Stay Updated: Follow industry trends on AI adoption in banking to anticipate changes and position yourself as a forward-thinking analyst.

By focusing on these areas, you’ll not only prepare for your SA role but also future-proof your skillset as AI continues to evolve in the industry.

Sources: Programming/Technical Skills for Finance: SQL and Python, Google partners with Goldman Sachs in automating Investment Banking, Top 3 Skills Needed for Investment Banking, GPT-4 & Microsoft Co-Pilot

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 
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Incoming SA 27’ too and I think AIs potential is wild. I’m learning how to prompt on Claude Coder and no it’s not just “make me this”, there’s a large learning curve and u need to have a basic understanding of databases and workflows (no coding knowledge though).

However, the hype is real. Right now Claude can take control of ur whole computer and fully automate lots of tasks while self improving. Right now I’m tryna learn how to get AI to do the following:

1. Give me daily market reports on the market, aggregate them, and run its own analysis on market trends/future outlook using aggregated reports
2. Build out model scaffolding and automate Excel formatting
3. Automatically generate public comps/transaction comps lists
4. Connect Excel/Powerpoint with Gmail and let AI analyze work comments and automatically fix basic formatting issues or quick fixes while leaving more analysis heavy comments for me to fix while providing any sources that could help me

This is just the start of what I plan to implement. All of this is possible right now and AI will only get better in the future. Hopefully by next year, banks will offer smarter enterprise models that can actually handle these projects.

 

Intern in IB-M&A

Incoming SA 27’ too and I think AIs potential is wild. I’m learning how to prompt on Claude Coder and no it’s not just “make me this”, there’s a large learning curve and u need to have a basic understanding of databases and workflows (no coding knowledge though).

However, the hype is real. Right now Claude can take control of ur whole computer and fully automate lots of tasks while self improving. Right now I’m tryna learn how to get AI to do the following:

1. Give me daily market reports on the market, aggregate them, and run its own analysis on market trends/future outlook using aggregated reports
2. Build out model scaffolding and automate Excel formatting
3. Automatically generate public comps/transaction comps lists
4. Connect Excel/Powerpoint with Gmail and let AI analyze work comments and automatically fix basic formatting issues or quick fixes while leaving more analysis heavy comments for me to fix while providing any sources that could help me

This is just the start of what I plan to implement. All of this is possible right now and AI will only get better in the future. Hopefully by next year, banks will offer smarter enterprise models that can actually handle these projects.

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