alt Hacker NewsAI seems to struggle most when it has to make decisions with lots of trade-offs, especially where the context or implications of various decisions are nested, which is presumably why it struggles to write full software systems that are well-designed.
By comparison, financial advice is pretty simple, and there is a universally agreed-upon approach that most people should follow to maximize long-term financial health.
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> By comparison, financial advice is pretty simple, and there is a universally agreed-upon approach that most people should follow to maximize long-term financial health.
What will AI do when those rules, which it's trained on their repetition so much, don't apply anymore? ~8% annual stock gains for the next 40 years may not hold and an 80/20 stock/bond ratio may not be as wise in upcoming decades
This is the common fallacy of “AI is terrible in my own field of which I have deep knowledge, but AI is totally fine in this other field of which I only have cursory knowledge.” Even ignoring all other aspects of financial advice and only focus on saving for retirement, there are so many topics involved like asset allocation glide paths, tax advantaged accounts, safe withdrawal rate, sequence of return risk, etc etc.
Financial advice is universally agreed upon, to the same extent that advice about software engineering is also universally agreed upon, you know, like write unit tests, write maintainable code, etc. But the devil is in the details.