Every year at the end of the year, I, an analyst with many years of experience in the crypto industry, focus my attention on the annual trend reports from top venture capital firms. These reports are not only industry compasses but more importantly—they hide the real gold that ordinary people can seize.
After carefully studying the latest predictions for 2026, I couldn’t sleep all night; I was truly shocked. If AI in the past few years was still in the warm-up phase, then 2026 will be the critical year for AI to completely transform the world. Based on my years of experience observing the development of cryptocurrencies and AI, today I will break down the three most valuable trends from the report and share them with everyone. Those who understand now are already quietly making their moves.
**Complete Infrastructure Overhaul: AI Becomes "Digital Employees," Data Processing Turns into a New Gold Mine**
The internet infrastructure of the past decade has been carefully designed for human users—low concurrency, predictable click requests, and sufficient efficiency. But starting in 2026, the "natives" of the internet will need a new batch of people.
Imagine this scenario: you give an AI agent an instruction, and it might split into 5,000 sub-tasks and execute them in parallel in an instant. For traditional backend systems, this isn’t normal user access; it’s a DDoS-level "recursive shockwave"! Existing cloud computing services and database architectures react like antiques when faced with this machine-level traffic.
But the problem itself is the biggest opportunity. Whoever can effectively handle this machine traffic "big jam" will become the next-generation infrastructure giant.
The direction I personally favor most is the multi-modal data integration track. Many companies don’t lack data; what they lack is turning that data into useful information. PDFs, videos, emails, logs, and various unstructured data scattered everywhere—how to unify them and make AI truly usable—that’s the next big trend.
Whoever can completely solve this problem will hold the key to the next wave of growth.
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MEVEye
· 5h ago
Damn, is AI going to be this powerful by 2026? I need to hurry up and do my homework.
I believe the part about not sleeping all night, but the ones who really make money are never the ones just looking at reports.
It feels like someone has already been positioning themselves in the multimodal data sector for a while; it's not that easy to get in.
I heard this set of logic at a VC sharing session before, and now it's explained in more detail.
The question is, who the TM can solve this problem? It's easy to say, but is it really doable?
What does it mean to quietly lay out? Is it about entering now or waiting and watching? I'm a bit unsure.
The infrastructure sector might still need three to five years to make money; no rush.
Sounds like another wave of hype, but hopefully it's not just another air project.
I just want to know what opportunities are left before 2026; that time frame is too far away.
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OnchainFortuneTeller
· 5h ago
Stayed up all night just to read the venture capital report, brother, I really respect your enthusiasm.
Running 5000 sub-tasks in parallel? Isn't this the spring for cloud service providers? If you don't go all-in on infrastructure now, you're really missing out.
Multimodal data is indeed a gold mine waiting to be mined, but the question is, who can really do this job well?
Those who have already laid out their plans should be secretly celebrating now.
Honestly, compared to the AI employees themselves, the companies forced to upgrade their systems are actually the biggest victims.
Data integration sounds simple, but actually implementing it is extremely difficult. Don’t believe me? Just ask those companies that have been struggling for three years.
If you miss this wave of opportunity, you'll have to wait another five years.
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liquiditea_sipper
· 6h ago
Wow, 5,000 sub-tasks running in parallel? Doesn't that mean the infrastructure needs a全面升级? Feels like it's not too late to get on board now.
Wait, is multimodal data integration really that valuable? Why do I feel like many projects are just hyping this concept?
2026… Bro, is your prediction really accurate or are you just selling anxiety again?
Huh? Data integration into a new gold mine? I just want to know which targets are already布局 now.
Talking all fancy, but how exactly do we make money, bro?
Every year at the end of the year, I, an analyst with many years of experience in the crypto industry, focus my attention on the annual trend reports from top venture capital firms. These reports are not only industry compasses but more importantly—they hide the real gold that ordinary people can seize.
After carefully studying the latest predictions for 2026, I couldn’t sleep all night; I was truly shocked. If AI in the past few years was still in the warm-up phase, then 2026 will be the critical year for AI to completely transform the world. Based on my years of experience observing the development of cryptocurrencies and AI, today I will break down the three most valuable trends from the report and share them with everyone. Those who understand now are already quietly making their moves.
**Complete Infrastructure Overhaul: AI Becomes "Digital Employees," Data Processing Turns into a New Gold Mine**
The internet infrastructure of the past decade has been carefully designed for human users—low concurrency, predictable click requests, and sufficient efficiency. But starting in 2026, the "natives" of the internet will need a new batch of people.
Imagine this scenario: you give an AI agent an instruction, and it might split into 5,000 sub-tasks and execute them in parallel in an instant. For traditional backend systems, this isn’t normal user access; it’s a DDoS-level "recursive shockwave"! Existing cloud computing services and database architectures react like antiques when faced with this machine-level traffic.
But the problem itself is the biggest opportunity. Whoever can effectively handle this machine traffic "big jam" will become the next-generation infrastructure giant.
The direction I personally favor most is the multi-modal data integration track. Many companies don’t lack data; what they lack is turning that data into useful information. PDFs, videos, emails, logs, and various unstructured data scattered everywhere—how to unify them and make AI truly usable—that’s the next big trend.
Whoever can completely solve this problem will hold the key to the next wave of growth.