As the AI industry approaches the $860 billion mark, a new question faces everyone: where is the next growth engine?
If you're still focusing on model development and computing power supply, you might already be late. The true value growth point is shifting toward decentralized intelligence. Led by FET, this wave of technological innovation is breaking through the ceiling of traditional AI and opening a new door for the entire industry.
The core of this new model is "Autonomous AI Agents." Imagine: these agents can learn, interact, and make decisions independently without any centralized control, supported by the computing power provided by Render. They can accomplish complex economic and social tasks with high speed, transparency, and security. Real-time market response, quick transaction and collaboration? These are just basic functions. Blockchain technology ensures every step is traceable, eliminating hiding places for data tampering and backdoor operations; a network of distributed nodes makes the entire system more risk-resistant, ensuring the stability of intelligent services.
All this talk is fine, but let's look at real-world implementations. In decentralized finance (DeFi), AI agents are already autonomously handling asset allocation, risk control, and trade execution. In the Internet of Things (IoT), devices achieve autonomous collaboration through AI agents, greatly improving system efficiency. In supply chain management, it's more intuitive—AI agents track logistics information in real-time, optimize configurations, and improve the overall operational efficiency of the entire chain.
As the FET ecosystem continues to grow, the application scenarios for decentralized intelligence will become increasingly diverse. AI is gradually evolving from a mere "tool" into a true "ecosystem." This transformation may well be the next step in the growth of the $860 billion AI industry market.
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DeFiGrayling
· 5h ago
Decentralized AI agents are indeed interesting, but whether FET can truly be implemented depends on ecosystem development. Just talking about autonomous decision-making is too vague.
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GasSavingMaster
· 20h ago
FET this wave is indeed a bit interesting, I like the logic of autonomous agents, but is it practical to implement?
Honestly, is this another wave of hype? Feels like every time they say "breaking the ceiling" but it turns out the same
I believe in decentralized finance, but the Internet of Things and supply chain... let's wait and see
Still the same saying, code and data will speak
How is FET's current price, is anyone buying in?
It seems that Render's computing power support is the key, not the agents
Will this succeed, or is it just another hype cycle
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GovernancePretender
· 20h ago
In the area of decentralized intelligence, FET does have some potential, but whether it can truly break through depends on the speed of implementation.
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MetaDreamer
· 20h ago
Decentralized AI sounds good, but can FET really break the ceiling? It still seems to depend on real-world implementation data.
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GasFeeNightmare
· 20h ago
I came across another promotional article about FET late at night, but whenever "decentralization" is mentioned, it's like injecting adrenaline. Now even AI is supposed to be decentralized? Forget it, I'll just keep watching the gas tracker. Saving 5 Gwei is more realistic than listening to this.
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GamefiHarvester
· 20h ago
Here comes the story of cutting leeks again; FET's recent promotion has been quite intense.
As the AI industry approaches the $860 billion mark, a new question faces everyone: where is the next growth engine?
If you're still focusing on model development and computing power supply, you might already be late. The true value growth point is shifting toward decentralized intelligence. Led by FET, this wave of technological innovation is breaking through the ceiling of traditional AI and opening a new door for the entire industry.
The core of this new model is "Autonomous AI Agents." Imagine: these agents can learn, interact, and make decisions independently without any centralized control, supported by the computing power provided by Render. They can accomplish complex economic and social tasks with high speed, transparency, and security. Real-time market response, quick transaction and collaboration? These are just basic functions. Blockchain technology ensures every step is traceable, eliminating hiding places for data tampering and backdoor operations; a network of distributed nodes makes the entire system more risk-resistant, ensuring the stability of intelligent services.
All this talk is fine, but let's look at real-world implementations. In decentralized finance (DeFi), AI agents are already autonomously handling asset allocation, risk control, and trade execution. In the Internet of Things (IoT), devices achieve autonomous collaboration through AI agents, greatly improving system efficiency. In supply chain management, it's more intuitive—AI agents track logistics information in real-time, optimize configurations, and improve the overall operational efficiency of the entire chain.
As the FET ecosystem continues to grow, the application scenarios for decentralized intelligence will become increasingly diverse. AI is gradually evolving from a mere "tool" into a true "ecosystem." This transformation may well be the next step in the growth of the $860 billion AI industry market.