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Finance et banque
Médias
Finance et banque
Opinions
Les questions dont le domaine débat, et chaque camp dans les mots de ceux qui le défendent.
How much financial work should AI handle, and where should human control remain?
Automate the analysis
AI can handle analysis and routine work around advisors, while agents can prompt people to act.
So the role of AI at ARCA is not to replace the advisor, it is to replace all of the work around the advisor. So our clients don't really interface with AI directly.
The analysis part is fully automated, but they're unable to actually execute any sort of money movement or liquidation automatically. We have a very deep integration with our custodian that actually gives us APIs to be able to do that.
Money movement and liquidation should not run automatically, and human review should remain for risky prompt changes.
The analysis part is fully automated, but they're unable to actually execute any sort of money movement or liquidation automatically. We have a very deep integration with our custodian that actually gives us APIs to be able to do that.
Can AI investment and borrowing expand without creating unacceptable financing risk?
AI funding is vulnerable
AI borrowing competes for finite financing, and large investment needs could expose strain before the technology's financial story plays out.
They're a proxy for a certain part of the market at large. The financial aspect of this story we're going to see play out, in my opinion, faster than the technological side.
The AI story remains in place, even as the key question becomes whether growth is slowing and whether overinvestment will leave excess capacity.
But at some point in the future, one of the six recession red flags is you find the over investment in every cycle and you focus on that cycle because when demand slows down, there's way too much capacity.
Every economic cycle has an overinvestment. And when that overinvestment fades out, then you have too much supply of that sector, and then you have to lay off people.
Do digital assets offer useful financial infrastructure or mainly speculative narratives?
Build on-chain markets
As spot markets move on-chain, oracle information could be derived from on-chain properties rather than published separately.
This will change in the future because I think as spot markets move onto hyperliquid, you can imagine a system where the Oracle is actually no longer published, but rather derived from onchain properties.
A token can be mistaken for the product, and some tokens lack demonstrated demand beyond speculation or narrative.
But like, yeah, like, it's, it's tough and tokenomics are not easy. There's a lot of stakeholders, there's a lot of times people mistake the token for the product.
And a lot of times the tokens that we attach to things. It's just like a speculative Ponzi or something that hasn't demonstrated demand. And it's mostly just a narrative or whatever. Right. A lot of that has been what crypto is.
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Finance et banque
Direction
AI finance is heading toward automated analysis and proactive agents, while deterministic controls and human review retain authority over money movement and system changes.
So the role of AI at ARCA is not to replace the advisor, it is to replace all of the work around the advisor. So our clients don't really interface with AI directly.
The analysis part is fully automated, but they're unable to actually execute any sort of money movement or liquidation automatically. We have a very deep integration with our custodian that actually gives us APIs to be able to do that.
Prévisions et visions, avec la date où elles ont été dites et celle où l’on pourra les vérifier.
Ouvertein the future
This will change in the future because I think as spot markets move onto hyperliquid, you can imagine a system where the Oracle is actually no longer published, but rather derived from onchain properties.
Ouvertein the next five yearsÀ vérifier le 31 mars 2031
Private markets to insurance, private markets to wealth, digital assets, and active ETFs—we think these can all be $500 million revenue generators in the next five years.
They're a proxy for a certain part of the market at large. The financial aspect of this story we're going to see play out, in my opinion, faster than the technological side.
The cited account distinguishes tokens from the products they are attached to and says some have not shown demand beyond speculation or narrative.
But like, yeah, like, it's, it's tough and tokenomics are not easy. There's a lot of stakeholders, there's a lot of times people mistake the token for the product.
Ce que disent faire aujourd’hui ceux qui ont une longueur d’avance.
Automate analysis while preventing agents from executing money movement or liquidation.
The analysis part is fully automated, but they're unable to actually execute any sort of money movement or liquidation automatically. We have a very deep integration with our custodian that actually gives us APIs to be able to do that.
Keep a human engineer in the loop before shipping prompt changes.
Today we still have a human, like a human engineer in the loop before we actually ship a prompt change. I've noticed that agents will make really nasty prompt changes if you leave them to it.