Why AI Still Isn’t Ready for Full Autonomy in Investment Banking
Gist AI models struggle in investment banking because critical workflow data (IPO execution, M&A, complex spreadsheets) is scarce, proprietary, and highly specialized. Models frequently hallucinate and compound errors across multi-step, numerically intensive tasks, with studies showing sub-50% accuracy on basic finance problems. Most enterprise and financial AI pilots fail to progress beyond proof-of-concept or deliver …
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