Utilization of AI in IB

Please share how you or your firm utilizes AI and the platforms at your fingertips.

Rogo: research, financials, positioning

Copilot: phrasing, quick research, checking work

Alphasense: equity research

Believe some firms may use Claude or have Chat plugins too. Would be interested to hear different use cases

8 Comments
 

Based on the most helpful WSO content, AI is increasingly being utilized in Investment Banking (IB) to streamline processes and enhance efficiency. Here are some notable use cases and platforms:

  1. Automation of Routine Tasks:

    • AI is being used to automate repetitive tasks traditionally handled by analysts, such as data entry, financial modeling, and valuation calculations. This allows analysts to focus on higher-value activities.
  2. Research and Data Processing:

    • Platforms like Rogo are used for research, analyzing financials, and understanding market positioning.
    • Alphasense is leveraged for equity research, providing insights and data aggregation to support decision-making.
  3. Content Creation and Review:

    • Tools like Copilot assist with phrasing, quick research, and checking work for accuracy, ensuring polished and professional outputs.
  4. Sentiment Analysis and Advanced Analytics:

    • AI models are employed for sentiment analysis on earnings call transcripts or other textual data, helping firms gauge market sentiment and trends.
    • Machine learning models are used to identify correlations, manage risks, and hedge unwanted factor exposures in portfolios.
  5. Custom AI Integrations:

    • Some firms are experimenting with tools like Claude or custom ChatGPT plugins to enhance client communication, generate reports, or provide tailored insights.
  6. Client Interaction and Relationship Management:

    • While AI can assist in generating data and insights, the relationship-driven aspect of IB remains irreplaceable. AI complements this by providing bankers with better tools to prepare for client meetings and presentations.

These tools and platforms are reshaping the IB landscape, making processes more efficient while allowing professionals to focus on strategic and relationship-driven aspects of their roles.

Sources: What kind of tools / apps do you wish existed in the industry?, AI in fundamental investing, Google partners with Goldman Sachs in automating Investment Banking, Tech, which is becoming increasingly sophisticated, will replace investment bankers

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 

Personally, I have found that it’s not all that useful. Some use in idea generation, summarizing key terms of lengthy documents, enhancing email writing but that’s about it. Have not really been able to use it to complete rigorous analysis (hard to give it the right prompting to give what I want and hallucinations/mistakes end up creating more time on the back-end). Biggest thing is while the tools can give good big picture ideas/summaries, they can’t actually automate the most time-consuming part of generating a robust analysis that’s accurate or formate it onto slides.

 

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