"I began AI training in 2023, while I was looking for a job that involved some form of equity valuation work. I had a lot of interviews, but no offers. A recruiter had reached out to me on LinkedIn to saying she was looking for experts in finance and economics to teach AI models. I was skeptical at first, but decided to give it a shot."
"From what I've seen, the workload in finance will be different in a couple of years, and it's necessary to think about how you are going to fit into that. Two years ago, I would have had to walk an AI model through every single step and input to have a large language model calculate free cash flow. Now, I can provide five PDF files, reference three other outside sources, and ask the model to use these assumptions to calculate free cash flow."
"Now, my work life is nine to nine. I work my day job until five and then do AI training until nine every night. I usually work on Saturdays and occasionally a couple of hours on Sundays. In that time, I've seen the models become drastically better at doing financial analysis, and it can take nearly a full day's work to create one AI prompt that can actually stump th"
An investment analyst began training AI in 2023 while searching for equity-valuation work and continues the task after his regular job and on weekends. He trains models to perform financial-analysis tasks so he will be prepared when AI automates elements of investment-analysis work. Over two years the models progressed from needing step-by-step guidance to handling multiple PDFs and external assumptions to compute free cash flow. A recruiter initially recruited him for finance and economics expertise. Training work now adds several evening and weekend hours to a full-time schedule. Prompt engineering can require nearly a full day's work to challenge advanced models.
Read at Business Insider
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