Why You Shouldn't Miss the AI Agent Narrative Boom?
TechFlow Selected TechFlow Selected
Why You Shouldn't Miss the AI Agent Narrative Boom?
AI Agents are important not only for retail investors, but also for project teams across various verticals who are struggling under the weight of VC-backed tokens.
Navigating Web3 tides with focused insightsBy Haotian
Why shouldn't you miss this AI Agent narrative wave? Many still see AI Agents as just another fleeting trend, no different from "AI + DePIN," "AI compute/inference aggregation platforms," or "AI MEMEs." But in fact, I’d argue they are merely different stages of the evolving convergence between AI and crypto—each phase building momentum that will collectively drive the main bull market surge. Let me break this down point by point:
1) Overall, the narrative logic of AI+Crypto driving this bull market won’t change. As AGI model training and multimodal AI industries deepen, demand for traditional resources like computing power, storage, and data will grow exponentially. This means the AI industry will become extremely competitive and cutthroat, inevitably leading to monopolization—and consequently, innovation needs from smaller players will "spill over" into alternative ecosystems.
This spillover brings fundamental growth ("alpha") to the crypto space, which is uniquely positioned to absorb these overflowed resource demands.
For example, LLM training requires affordable compute—idle resources can be pooled together via decentralized networks. Vertical applications in healthcare or supply chain finance often require privacy, where cryptographic ZK tech combined with decentralized governance becomes a critical foundation. Distributed inference needs scenario-specific algorithm optimization and an incentive framework capable of tracking reasoning processes—exactly what crypto tokenomics excels at. From this macro view, the convergence of AI and crypto is not only logical but inevitable.
2) Yet, AI+DePIN had its moment before seemingly fizzling out. Then came numerous VC-backed large-scale projects focused on distributed compute, algorithms, and inference platforms—but none created significant impact. More recently, AI+MEME tokens like GOAT reignited market energy through community-driven culture. Now, the AI Agent token launch frenzy has rekindled hopes for mass adoption of AI via crypto.
At first glance, the evolution—from DePIN to compute aggregation, then to MEMEs, and finally to AI Agents—might seem chaotic, even suggesting repeated failures in proving AI+Crypto’s viability?
But here's my take: AI+DePIN laid foundational infrastructure; distributed compute/inference platforms built incentive layers for compute and algorithms; AI+MEME accelerated market education and awareness through secondary-market wealth effects; and now, AI Agents represent the final stage—real application deployment and user reach.
Viewed this way, it's clear why AI+DePIN and large-scale inference networks struggled—they aimed too big, too early. The overflowed demands they tried to capture weren't even fully matured or competitively developed within Web2, let alone ready for immediate success in the crypto realm. In the short term, their efforts appeared irrelevant or underwhelming.
But what if we reversed the sequence—starting not with heavy infrastructure, but with lightweight application launches and MEME-fueled传播 (communication/spread)?
Imagine launching practical, lightweight AI Agents in crypto first—those with real use cases and low overhead. As top-tier agents emerge, they tap into MEME-powered communities for amplification. Once the momentum behind AI asset issuance and AI MEME primitives builds sufficient force, tackling the heavier AI+Crypto infrastructure suddenly becomes far more viable.
In other words, shifting from “fat protocols” to “thin applications”—using nimble, rapidly iterative apps to lead the charge, leveraging vertical-specific MEMEs to trigger FOMO among secondary-market users, and only later developing the grand technical visions with long timelines and high complexity—that makes perfect sense, doesn’t it?
3) So let’s focus on the AI Agent narrative. An AI Agent refers to an intelligent AI service capable of autonomous decision-making and automated task execution. Its primary goal is enhancing human-machine collaboration efficiency through personalized customization and automation.
Common AI Agents are already widely used in code generation, creative content creation, research assistance, personal financial planning, and expert domain consulting (e.g., legal, medical).
Now someone might ask: These AI Agents have been thriving in Web2 for years, with solid business models based on SaaS subscriptions, API billing, and value-added services. Why bring them into Web3 just to issue tokens and create bubbles? Where’s the real utility?
I believe there’s no contradiction here. In reality, AI Agents haven’t flourished in pure Web2 environments—their limitations are precisely why many are turning to Web3 and tokenization. Moreover, every major value accumulation cycle in crypto goes through a bubble phase: DeFi, NFTs, inscriptions, GameFi, MEMEs—all experienced a FOMO-driven “asset issuance story” period.
While this phase may appear financially nihilistic and leave the industry temporarily littered with wreckage, it attracts crucial capital and users who eventually stay and fuel future development.
NFTs seemed like digital art nonsense—but they made ETH deflationary. Inscriptions looked like meaningless pixel art—but helped miners survive the pre-halving downturn. Similarly, today’s AI Agent token rush may seem speculative, but it brings fresh users and capital into the crypto ecosystem. In the long run, even these seemingly nihilistic FOMO narratives crystallize into real value. Don’t let bias blind you to opportunity.
4) Finally, AI Agents matter not only to retail investors but also to project teams across verticals who are struggling under the weight of VC-dominated token economies.
From now on, teams should consider how to leverage the AI+ narrative to revitalize their chains: embedding modular AI preprocessing components? Building community-accessible AI Agent tools? Spreading AI-flavored MEME culture?
Integrating these AI elements can rejuvenate your bloated, hard-to-execute roadmaps. Instead of waiting years for complex tech rollouts, start deploying value incrementally through lightweight AI Agents. Amplify your reach using entertaining, easily shareable AI MEMEs. Rather than resist, why not embrace?
Embracing lightweight AI Agents and AI MEME community culture may be the optimal path to reinvent legacy projects’ heavy development trajectories—covering technology, operations, community, marketing, and branding.
Some reject the idea of turning everything into MEMEs, clinging instead to the belief in pure utility, working in isolation, dismissing FOMO-driven hype with disdain—only to repeatedly miss opportunities. Others love turning everything into MEMEs, thriving in financial nihilism and PVP games, yet remain indifferent to the underlying tech and fundamentals—ending up empty-handed when the music stops.
Come on—let’s connect the dots: AI Agent + AI MEME + AI Platform + AI DePIN into one unified narrative. No more false dichotomies between “serious tech VC coins” and “funny MEMEs.” Let’s push forward the grand vision of AI + Crypto together, and co-create this long-overdue bull market surge.
Join TechFlow official community to stay tuned
Telegram:https://t.me/TechFlowDaily
X (Twitter):https://x.com/TechFlowPost
X (Twitter) EN:https://x.com/BlockFlow_News
Haotian | CryptoInsight
