Hook: The Cold Water at ICML
I was seated in the back row of the ICML 2025 poster session when Jukan from Critini Research spoke those words into his microphone: "Korean AI is severely overhyped—almost nothing compared to China." The room didn't gasp; it nodded. But I felt a cold shiver. Not because I care deeply about the Korean AI industry, but because I had heard that exact rhythm before. In 2017, covering the OmniChain ICO for a Singapore-based fund, I wrote a 5,000-word exposé about a token distribution that favored VCs over the community. The project rug-pulled three months later. The same cadence was playing again: grand promises, minimal delivery, and a valuation built on narrative alone.
Jukan’s critique was sharp because it was structural. He deconstructed Korean AI across seven dimensions—technology, commercialization, industry impact, competitive landscape, ethics, investment, and infrastructure—and concluded that the gap to China wasn’t just wide, it was growing. He even proposed that Korea adopt a state-led talent program reminiscent of China’s Thousand Talents Plan. That is a desperate admission: the market alone cannot fix the problem.
As I listened, I realised Jukan’s framework is a perfect template for diagnosing hype cycles in blockchain. We have our own Korean AI moment—projects that occupy headlines but deliver little. The question is whether we have the courage to apply the same cold water to ourselves.
Context: The Seven Dimensions of Hype
The analyst’s argument was not merely emotional. He laid out a diagnostic system that I have since adapted for my own work auditing protocols and mentoring builders at The Alignment Circle. Each dimension exposes a particular failure mode:
- Technical Route: No original architecture or benchmark data; reliance on existing open-source models.
- Commercialization: Product-market fit missing; revenue is elusive; customer stories are recycled press releases.
- Industry Impact: The hype fails to cascade into adjacent sectors; the ecosystem does not upgrade.
- Competitive Landscape: No defensible moat against incumbents; the gap to leaders is widening.
- Ethics & Safety: Often unaddressed; the assumption is that speed justifies shortcuts.
- Investment & Valuation: Salesmanship outpaces fundamentals; valuations are multiples of any rational revenue.
- Infrastructure & Compute: Bragged about capacity is phantom; the real compute stack is either borrowed or aspirational.
I have seen every single one of these failures in blockchain projects. The ICO mania of 2017, the DeFi summer of 2020, the NFT boom of 2021, and the current wave of modular rollups all exhibit the same pattern: narrative first, substance later—if at all.
Core: A Seven-Dimensional Autopsy of Web3 Hype
Let me walk through each dimension, drawing from my own experiences as a builder and community founder. I will not name specific protocols unless I have personally audited them, because I want the analysis to stand on its own logic.
1. Technical Route: The Copy-Paste Trap
Korean AI startups heavily fine-tune Llama or Stable Diffusion and call it innovation. In blockchain, the equivalent is forking an EVM chain, adding a token, and calling it a Layer 1. I have audited six projects in the past year that claimed novel consensus mechanisms; all six were variations of PBFT or Nakamoto consensus with different parameter sliders. Genuine technical breakthroughs in cryptography—like transparent zk-SNARKs or recursive proofs—are rare. Instead, we see marketing decks that use "zk" as a buzzword without implementing any zero-knowledge circuit.
We built not for the peak, but for the valley. The valley is where real technical constraints live. Post-Dencun, blob data will be saturated within two years, and rollup gas fees will double again. I have run the numbers with my own simulation based on current L2 throughput projections. The only way to avoid that is to design from the start for resource scarcity, not abundance. Most projects do the opposite.
2. Commercialization: The Liquidity Mirage
Jukan pointed out that Korean AI companies had no visible API revenue or enterprise contracts. In DeFi, the equivalent is "total value locked" that consists of the project's own token paired with stablecoins. That is not user demand; it is farming. True commercialisation means a user paying for a service that solves a real problem—cross-border payments, uncensorable lending, verifiable credentials. I see very few protocols that can name even 100 paying customers outside of the speculation loop.
The manufactured narrative of "liquidity fragmentation" is a perfect example. Venture capital firms use that term to push new products that aggregate liquidity. But fragmentation is not a problem; it is a natural feature of a permissionless system. The real issue is that users cannot find deep liquidity in one place because the underlying assets are low quality. Solve quality, not fragmentation.
3. Industry Impact: The Hollowing Effect
If Korean AI fails, it will hollow out the country's semiconductor and electronics industries. In blockchain, a failed hype cycle does the same to the broader tech ecosystem: we lose talented engineers who burn out, we waste regulatory goodwill, and we scare away mainstream adoption. I retreated to a cabin in Yilan after the Terra collapse in 2022. The silence taught me that hype cycles are not just financial—they are emotional drains that erode the trust needed for long-term infrastructure.
Trust is the only protocol that cannot be coded.
4. Competitive Landscape: The Moatlessness Crisis
Korean AI has no moat against OpenAI or DeepSeek. In blockchain, most protocols have no moat against Ethereum or Solana unless they offer something fundamentally different—like privacy-by-default or sovereign identity. I mentored 50 core members in The Alignment Circle, and the ones who succeeded had built on the shoulders of giants while adding a layer of governance that could not be copied: a constitution, a dispute resolution mechanism, a community that actually cares. Code can be forked; culture cannot. But most projects treat culture as a growth hack rather than a fortress.
5. Ethics: The Empty Promise
The analyst’s critique of Korean AI barely touched ethics because the industry was too busy chasing benchmarks to think about safety. In blockchain, we have the opposite problem: too much talk about decentralization, not enough about the human consequences of failure. Auditing Harmony Bridge in 2025, I found that the protocol’s governance council had no formal process for handling a user data breach. They assumed the code was enough. It is not. Ethical infrastructure requires self-audit before tragedy.
6. Investment: The Cold Water Has Arrived
This is where Jukan’s analysis was most direct: sell the hype, buy the reality. For blockchain, the signal is clear. Valuations of pre-revenue protocols are at 2021 levels again. The median DeFi project I see in pitch decks has an FDV above $50 million with fewer than 1,000 daily active users. That is a 50,000x revenue multiple if each user generates $1. The numbers do not compute. I advise our community: if a protocol cannot show you its unit economics—cost per transaction, churn rate, net dollar retention—walk away.
7. Infrastructure: The Phantom Cluster
Jukan suspected that Korean AI labs claimed GPU clusters that did not exist. In blockchain, the equivalent is rolling out a mainnet that still uses a developer-focused cloud backend, with the promise of full decentralization in "Q3." I have seen three protocols in 2025 announce a decentralized sequencer only to reveal that the sequencer is run by a single entity in a single AWS region. Infrastructure is not a nice-to-have; it is the foundation. Without it, the entire architecture is a sandcastle waiting for a wave.
Contrarian: Why Cold Water Can Be Warm
Before we embrace total cynicism, let me offer a counter-intuitive angle. Jukan’s critique might be too harsh. Hype cycles, even severe ones, can serve a purpose. They attract capital and talent that eventually coalesce around real solutions. The 2017 ICO mania gave birth to Ethereum’s DeFi ecosystem. The 2021 NFT boom created the infrastructure for digital identity and provenance. Similarly, the Korean AI overhyping might still produce a generation of engineers who learned through failure.
In blockchain, the same holds. Overhyped projects that implode leave behind open-source code, educated developers, and a more skeptical user base. The key is to separate the signal from the noise without dismissing the entire cycle. I saw this in my own journey: after OmniChain rug-pulled, I founded The Alignment Circle not out of despair but out of a determination to build something that could survive the next bear market.
We don’t need more users; we need more stewards. Stewards are the ones who stay when the hype fades, who audit the code without being paid, who govern with the long term in mind. Stewardship is the only asset that compounds in bear markets.
Takeaway: The Architecture of Resilience
The Korean AI story is a mirror. It tells us that the same forces that inflate bubbles in one industry will inflate them in another—and the same diagnostic can protect us. I have seen the script too many times to ignore it. But I have also seen the exception: protocols that start with a real problem, that build in the open, that treat users as partners rather than exit liquidity.
My advice is simple: apply the seven-dimensional test to your own portfolio or project. If you find that the technical route is borrowed, the commercialisation is speculative, the industry impact is absent, the competitive moat is thin, the ethics are an afterthought, the valuation is fantasy, and the infrastructure is vapour—then you are holding a Korean AI of blockchain. Sell it, or fix it.
The choice is ours. We built not for the peak, but for the valley. Trust is the only protocol that cannot be coded. We don’t need more users; we need more stewards. Let the cold water wake us up before the next tide goes out.