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Based on the most helpful WSO content, AI is being incorporated into financial models and Excel workflows in several innovative ways. Here are some examples:

  1. Automating Data Collection and Reporting:

    • Using Python scripts or APIs (like Bloomberg or FRED) to scrape and pull data into Excel automatically. This eliminates manual copy-pasting and allows for faster updates to models.
  2. Natural Language Processing (NLP):

    • AI can perform basic NLP tasks, such as analyzing earnings call transcripts. For example, it can count how many times certain phrases like "strong quarter" are mentioned, providing sentiment analysis that can be summarized in Excel.
  3. Trend Summarization:

    • AI can process large datasets and identify key trends or patterns. For instance, it can analyze time series data and highlight significant changes or anomalies, which can then be visualized in Excel dashboards.
  4. Predictive Analytics:

    • Machine learning models trained on historical data can be integrated into Excel to forecast trends, such as revenue growth or credit defaults. These predictions can be displayed alongside actuals for comparison.
  5. Risk Analysis:

    • AI can identify and highlight changes in risk factors, such as those found in 10-K filings, and summarize them in Excel for quick review.
  6. Financial Model Generation:

    • AI tools can generate financial models directly from reported financials, saving time for analysts. For example, it can automate the creation of 3-statement models or DCFs.

If you're looking to summarize trends specifically, you could explore using Python or Excel add-ins that leverage AI to process and visualize data trends effectively. This would make your models more dynamic and insightful.

Sources: https://www.wallstreetoasis.com/forum/hedge-fund/machine-learning-taking-over-hf-research-analyst-roles-in-near-future?customgpt=1, AI in fundamental investing, Using Python to Automate tasks in ER/IB, Will robots replace your consulting or financial career?, Q&A: AI will automate many roles in the IB/PE world. A live Q&A with Arctic, who are recruiting finance professionals to help manage that change

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 
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It's hard. Excel has already added a pay for use add-on called CoPilot. You'd have to get some sort of AI to that can get around the licensing to use it in Excel. FYI CoPilot sucks it's in the infant stages of learning, so all it really can do is reconcile data and they took away the feature to write nested formulas and Macros. They did nothing but clean up the formulas and macros, if you had redundancies or had used an outdated formula, like if you did weighted averages and did it the old way, it showed you how to reconcile with SumProduct, which had some issues when trying to implement it into Power BI or Power Pivots. So if you have a work computer, you probably can't get around the Excel Licensing for CoPilot right now. You can use ChatGPT on the side and use that to write codes and macros and nested formulas but you'd still have to then write it into the Excel workbook you are using. 

 

Claude AI has erased codes and logs multiple times, used fake reports multiple times in UW scenarios, and finally, some of the first companies to integrate AI have already come out in recent earnings calls saying the layoffs seem presumptive and the learning curve was far greater than they anticipated, see Salesforce and PwC. This is happening at tech companies now, you think crusty old YT men of CRE are going to adapt as fast. 

 

Add a bit on this. For context I'm building AI financial modeling - basically struggling the same issue here, so our approach is to create a standalone platform mimicking spreadsheet UI with chat bot on the LHS and be Excel-exportable.

 

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