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asness-ai-end-human-fund-managersIf all this works, we may see the end of the investment management business as we know it. Instead, each person could have a personal AI that combined personal information — tax situation, financial goals, income prospects — with superior market knowledge, and that never slept or had its attention wander. These AIs could trade with each other with no need for human intervention.
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Good luck with your AI, Derf
And @Sven, I have to wonder what a reasonable expectation is for self-driving cars to get the kinks worked out. I gotta think AI-driven portfolio management is a tad easier (and had a head start) over self-driving cars. IDK.
or be replaced by a smaller number of active managers driven by AI wars."
Here's my opinion on what may occur to firms who actively manage funds.
https://www.mutualfundobserver.com/discuss/discussion/comment/183896/#Comment_183896
You got the idea.
Good luck to all of us.
With the above in mind, where and what to invest in?
High tech is coming after other job for decades and AI will take over additional white collar jobs.
The gap will continue to grow no matter what any government may do.
Since the stock market movements are random, AI will not guess them properly.
As someone who worked in IT over 35 years. We used to say garbage in, garbage out. That means you got to feed it the right data.
What is the right data? That is what everybody looks for. Companies with the best analysts are still looking for it.
Final found it and why it's mostly unknown. (https://blog.grainstonelee.com/insight/who-is-final-israel)
Now, I guess the counterpoint would be that if JPM, DE Shaw, GS, and kindred competitors spend gazillions of dollars shaving 1/1000000th of a nanosecond off a trade execution time, they might find a way to convert that 1.5% information edge into some real money. I don't know.
I guess I can just see a point where there are fewer meaningful asymmetries to leverage. I think Charly Munger or Tweedy Browne (or etc.) said at one point that you used to have pour through pages of out of date trade journals to get a sense of companies' profitabilities and obligations, but now that can be sifted through readily by computers and databases.
So, again, while I was never all-in on indexing, I'm guessing that this spells the end for large chunks of the biz, with only a few super brains-in-beakers types of firms like Shaw or Guggenheim or etc. I don't see how First Eagle or Harris Associates or Wellington or FPA or Osterweis or etc. last another five years.
I am always bemused bu the multiple attempts over the years to replace MDs and their diagnoses.
AI may very well be able to read X rays and EKGs better than humans, but if I had a dime for every time "something" about they way a patient looked or the tome of their voice prompted me to ask the question that made the diagnosis I would be very rich.
Patients want human beings taking care of them, not a machine. AI may eventually stop disasters with poorly trained RNNPs ( like the one after an online course and 500 hours of preceptor-ship sent a patient with a blood sugar of 600 home to die per Bloomberg's report) but that will not solve the issues in medicine today- too much corporate profit.
Will only make them worse
Sure, the top 1% have a chance to use AI correctly. They are going to need a lot of brain and machine power.
”US Producer Prices Jump on Eggs But Fed Categories Come in Soft”
• PPI increased in November by most in five months on food costs
• Drops in portfolio management, airfares suggest soft PCE index
(Above excerpted from Bloomberg Media LLC website on 12/12/2024)
PPI +3.0%, core +3.5%, both above expectations (today, Thursday)
Remember that PPI is based on wholesale prices and when those are rising, the next CPI readings (based on retail prices) may also be higher.
This doesn't look good for progress towards +2% average inflation target.
The next PCE release is on Friday, 12/20/24, a couple of days AFTER the FOMC Statement & Powell's presser next week.
Skeptics often argued: ”You can’t eat computer chips.”