Anyone who’s worked in or around finance would probably attest that a good chunk of the work is tedious, especially when evaluating the performance of companies over time and their future performance outlook. The work requires pulling forms and documents such as 10-Ks, 10-Qs, and 8-Ks, presentation decks and spreadsheets of results for publicly traded companies, compiling them, reviewing them for pertinent information, or trying to cross-reference them to see if certain words or product names are mentioned over time. This requires a great deal of attention, patience, and effort. Fund managers, financial analysts, and private equity firms in particular must do or have someone do all this when deciding whether or not to invest in a company, to divest, to bet against it, or to acquire it. But it also seems like the perfect work for a fine-tuned or financially savvy AI program.
