A couple of days ago, I came across an interesting comparison: a certain traditional value investment stock once dominated the market cap rankings and, together with the leading AI chip company across the ocean, was known as the "twin giants of East and West." Fast forward a year, the AI side is still skyrocketing, while the other has already started a price war.
Honestly, you can't say choosing either was wrong, but those who bet on the right track have already cashed in. It's like now with BTC breaking through $93,000—those who laid out early in Web3 infrastructure are seeing their returns right there.
I've recently come to truly realize that AI isn't just hype—I used it myself to write the code for two trading strategies, and they're already running live. Can you believe it? This used to require a professional programmer, but now someone with my half-baked skills can just jump in. What's even crazier is that a major tech giant just released a new model. You can casually say, "BTC broke above $93,000 today, make me a celebration graphic," and it's generated in seconds—even comparison charts from yesterday's market panic are possible.
The pace of technological development is a bit scary. Those junior programmers who only know how to copy and paste code, or designers who just use templates, honestly are in for tough times. But what's even more exciting is ahead—the robotics track is about to take off, and once AI+hardware integration becomes mainstream, the entire industry chain will have to reshuffle.
Of course, AI can't wipe out all jobs—at least not in the short term. But I feel that not learning to use it now is like not learning computers in 2010 or not touching smartphones in 2015—it's not that you can't survive, but you'll miss out on a window of opportunity. Especially for those of us focused on Web3, AI itself is a core module of the next generation of infrastructure, so getting familiar with the tools early can only be a good thing.
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CryptoTherapist
· 7h ago
ngl, this hits different when u realize ur portfolio anxiety is just market psychology playing tricks on u... let me unpack the real trauma here
Reply0
Lonely_Validator
· 7h ago
Even 93k has been broken and there are still people watching traditional stocks? Hilarious, choosing the wrong track is just choosing wrong.
AI writing code is really awesome, all the time saved can be used to research on-chain data.
Not learning AI is indeed a loss, just like missing out on mobile internet back in the day. What you're missing isn't just the technology—it's the money.
Those junior coders must be panicking now. I actually want to see how many people can still survive by copy-pasting in two years.
Web3+AI integration is the real future infrastructure. In the end, pure AI will still have to go on-chain.
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AltcoinHunter
· 7h ago
The choice of track determines your destiny, bro, I agree with that viewpoint.
Those who got into infrastructure early really have taken off. When BTC broke 90,000, I was already wondering if there’s still a chance in this round.
But to be honest, getting into AI chips now is already buying at the top, right? On the other hand, the AI + Web3 integration track is worth paying attention to.
I’m also using those new models to write strategies, but honestly—the key is still having the capital to back it up. Tools are just tools.
The robotics track is indeed hot, but I’m worried it might just be another round of retail investors getting fleeced...
But your point is valid—if you don’t keep learning, you really will fall behind. I’m also figuring out how to integrate AI into my trading system right now.
The question is, has anyone really found that 100x opportunity?
I think the key is that projects in the AI infrastructure layer might be seriously undervalued, it’s just that no star project has emerged yet.
Traditional tracks are indeed in decline, but that doesn’t mean Web3 will definitely win. On the contrary, it might be that both tracks will get stuck.
View OriginalReply0
ValidatorVibes
· 7h ago
ngl the infrastructure play here is what actually matters... not the hype cycle noise. bet those early web3 validators already pricing in this ai shift tbh
A couple of days ago, I came across an interesting comparison: a certain traditional value investment stock once dominated the market cap rankings and, together with the leading AI chip company across the ocean, was known as the "twin giants of East and West." Fast forward a year, the AI side is still skyrocketing, while the other has already started a price war.
Honestly, you can't say choosing either was wrong, but those who bet on the right track have already cashed in. It's like now with BTC breaking through $93,000—those who laid out early in Web3 infrastructure are seeing their returns right there.
I've recently come to truly realize that AI isn't just hype—I used it myself to write the code for two trading strategies, and they're already running live. Can you believe it? This used to require a professional programmer, but now someone with my half-baked skills can just jump in. What's even crazier is that a major tech giant just released a new model. You can casually say, "BTC broke above $93,000 today, make me a celebration graphic," and it's generated in seconds—even comparison charts from yesterday's market panic are possible.
The pace of technological development is a bit scary. Those junior programmers who only know how to copy and paste code, or designers who just use templates, honestly are in for tough times. But what's even more exciting is ahead—the robotics track is about to take off, and once AI+hardware integration becomes mainstream, the entire industry chain will have to reshuffle.
Of course, AI can't wipe out all jobs—at least not in the short term. But I feel that not learning to use it now is like not learning computers in 2010 or not touching smartphones in 2015—it's not that you can't survive, but you'll miss out on a window of opportunity. Especially for those of us focused on Web3, AI itself is a core module of the next generation of infrastructure, so getting familiar with the tools early can only be a good thing.