Financial AI Has a Memory Problem Wall Street Can't Ignore

Financial AI excels at one-off tasks like portfolio reviews but falters with ongoing context retention. Systems often lose track of risk tolerance, market conditions, and past decisions across sessions. This forces users to rebuild context repeatedly, reducing real-world usefulness. The issue highlights a critical gap in AI's ability to maintain continuity. Builders face challenges in creating systems that remember context over time.