2026-01-15 14:21:36

When institutions narrow their focus to AI tokens this cycle, the real question becomes: which projects actually deserve capital? Not every AI coin riding the hype wave will survive institutional scrutiny. What fundamentals separate the contenders from the pretenders? Strong tokenomics, real adoption metrics, technical differentiation—these are the filters serious money applies. Which AI projects are making the institutional cut in this market cycle?

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MEVSandwich

· 7h ago

Institutions are starting to filter again, this time it’s all about really analyzing the fundamentals.

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NeverPresent

· 7h ago

It still sounds like the same old story. Institutions choosing coins are nothing more than those few standards. But what I want to say is that currently, about 80% of AI projects on the market can't withstand scrutiny. No matter how fancy the tokenomics are written, they can't hide the fact that there are no real users. The ones that can truly survive, I bet that out of five such projects, four will die before one makes it.

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NotFinancialAdviser

· 7h ago

Bro, do institutions really take these things seriously? I feel like most of them are still just betting on the trend...

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ruggedSoBadLMAO

· 7h ago

Institutional screening of AI coins? To put it simply, it's about seeing whose tokenomics are solid, who has real users, and whose technology is not just paper-thin. Those vapor projects are probably going to fade this time.

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MemeTokenGenius

· 8h ago

Another pile of AI coin hype, once institutions really come in, their true nature will be exposed. --- To put it simply, it's about who can survive until the next bull market; most are just here to harvest retail investors. --- Token economics sound nice, but ultimately it depends on whether there are real users using it. Don't deceive me. --- Institutional scrutiny? That's funny, they are gambling themselves. --- Genuine differentiated projects are rare; most are just copy-pasted. --- In this round of AI coins, 80% are scam projects. Just wait and see. --- Using indicators is the most deceptive; data can be faked. --- Talking about screening standards for a long time, but actually, institutions are just looking at who can pump the market. --- How many AI projects have truly solved problems? I haven't seen many. --- Good token economics design doesn't necessarily mean survival.

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New_Ser_Ngmi