The gap between crypto investors and cutting-edge AI development is widening—and it's a problem nobody's talking about. While the industry obsesses over the latest model releases, most VCs are still operating with yesterday's playbook. AI's moving in ways we can't predict, following paths that don't fit linear models, and that unpredictability is catching a lot of people flat-footed.
What's needed? Founders and investors who actually understand the tech at a deep level. Not the surface-level hype merchants—real builders who can parse what's actually happening beneath the noise. The ones who get that AI breakthroughs don't follow a roadmap. The technical depth required to navigate this space has shifted dramatically, but the talent pool in VC hasn't kept pace.
This isn't just about capital allocation. It's about who gets to shape the next wave of AI applications. Teams that combine technical rigor with investment acumen will have the advantage. Everyone else? They're years behind, playing catch-up on decisions already made.
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GateUser-00be86fc
· 16h ago
Basically, right now many VCs are just talking on paper; AI has already played out in many ways, and the gap is truly huge.
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Instead of bragging about new models every day, it's better to think about how to cultivate truly knowledgeable technical people—that's the real issue.
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Haha, having money alone is useless; you need brains to survive in the race.
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Deep understanding vs riding the hype—time will tell in a year or two. Right now, there's too much gambling involved.
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Teams that build technical barriers are the real winners; everyone else is just waiting in line to be eliminated.
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Indeed, many people in the VC circle don't even understand what AI is doing, yet they dare to go all in—it's hilarious.
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SleepTrader
· 01-18 01:50
Exactly right. Most VCs don't understand what AI is really doing and are still using old methods to burn through money.
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RugPullSurvivor
· 01-17 18:26
Honestly, that's why so many VCs seem like fools right now. Technology is advancing, and they're still looking at last year's PPT.
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WinterWarmthCat
· 01-17 03:08
In simple terms, a bunch of VC investors who are just hyping concepts can't keep up with the pace of AI and are still using the old methods to cash in.
The founders who truly understand tech are the real bosses now.
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GasBandit
· 01-17 03:07
Honestly, that's why so many VCs end up dying on the beach... they just can't keep up.
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WhaleWatcher
· 01-17 03:07
Most VCs don't understand current AI at all and are still circling with the old playbook, hilarious.
Really, the threshold for understanding technology has long been raised, but the funding circle is still evaluating projects with standards from three years ago.
The teams that will win this round are definitely those who understand both technology and fundraising; others are really just playing catch-up.
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MEVHunterX
· 01-17 03:02
Most VCs don't really understand what AI is doing; they're still using outdated methods.
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It's called "fundraising difficulty," but in reality, very few people truly grasp the technology...
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This is the real information gap, not the superficial excitement over model releases.
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Nine out of ten so-called "AI experts" among investors are just armchair strategists—laughable.
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Technical depth really holds people back; very few can truly understand it.
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So projects still relying on model news hype will eventually be pressed to the ground and rubbed in.
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The question is, how many founders are also just paper tigers, deceiving each other?
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The window for building moats is actually only these few years; missing it means it's gone for good.
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It looks like a big opportunity, but in reality, the threshold is insanely high, and most people simply can't get into this game.
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DegenDreamer
· 01-17 02:56
Honestly, most VCs don't understand what AI is doing right now... Still using old-school logic to invest, it's hilarious.
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WalletsWatcher
· 01-17 02:47
Damn, doesn't that mean most VCs actually don't understand what AI is doing... honestly
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GasFeeGazer
· 01-17 02:45
This is the true picture of the current VC circle—many people are still bragging, but there are very few who truly understand the technology.
Those who can't keep up with the technical depth will definitely be left far behind.
That's right, now it's about whether the team has people who can actually code and understand models.
This wave of AI isn't something you can win just with money; you have to see through it truly.
Why does it seem like most VCs are still using last year's approach? AI has already advanced beyond their imagination.
The gap between crypto investors and cutting-edge AI development is widening—and it's a problem nobody's talking about. While the industry obsesses over the latest model releases, most VCs are still operating with yesterday's playbook. AI's moving in ways we can't predict, following paths that don't fit linear models, and that unpredictability is catching a lot of people flat-footed.
What's needed? Founders and investors who actually understand the tech at a deep level. Not the surface-level hype merchants—real builders who can parse what's actually happening beneath the noise. The ones who get that AI breakthroughs don't follow a roadmap. The technical depth required to navigate this space has shifted dramatically, but the talent pool in VC hasn't kept pace.
This isn't just about capital allocation. It's about who gets to shape the next wave of AI applications. Teams that combine technical rigor with investment acumen will have the advantage. Everyone else? They're years behind, playing catch-up on decisions already made.