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크립토의 최대 시스템 리스크는 크립토에 있지 않다: AI 버블과 라리 엘리슨 트레이드 해부

크립토의 최대 시스템 리스크는 크립토에 있지 않다: AI 버블과 라리 엘리슨 트레이드 해부

In the ever-volatile world of crypto, where meme tokens can moon overnight or crash just as fast, it's easy to focus on on-chain drama like rug pulls or pump-and-dumps. But according to a thought-provoking thread from Mert, CEO of Helius Labs and a former Coinbase exec, the real systemic risk lurking in the shadows isn't even native to crypto. Instead, it's tied to the overhyped AI sector, and it could send shockwaves through our "magic internet money" ecosystem. Let's break this down step by step, explaining the key concepts along the way, so you can stay ahead of the curve.

The Prompt That Sparked It All

It all started with a question from Kyle Samani, Managing Partner at Multicoin Capital: "The largest source of systemic risk in crypto today is __________." (original post). Systemic risk, for those new to the term, refers to the potential for a failure in one part of the financial system to cascade and cause widespread damage—like how the 2008 housing bubble took down global banks.

Mert jumped in with a detailed response (full thread), arguing that crypto's biggest threat comes from outside: the downstream effects of the AI boom. He dubs it the "Larry Ellison trade," named after Oracle's CEO, and paints a picture of a reflexive loop that's inflating valuations unsustainably.

Decoding the Larry Ellison Trade

Here's the cycle Mert describes, simplified:

  • Step 1: Oracle, a major cloud computing company, signs a massive $300 billion deal to supply GPUs (graphics processing units, the chips essential for training AI models) to OpenAI, the company behind ChatGPT.

  • Step 2: This deal boosts Oracle's stock price because investors see huge revenue potential.

  • Step 3: OpenAI raises more funding in a new investment round, capitalizing on the hype.

  • Step 4: Larry Ellison personally invests a hefty sum into OpenAI, buoyed by his company's rising stock value from the initial deal.

  • Step 5: With fresh cash, OpenAI pays for the GPUs, further validating the deal and pushing Oracle's stock even higher.

  • Step 6: Index funds—those passive investment vehicles that track market indices like the S&P 500—rebalance their portfolios based on market cap (total value of a company's shares). As Oracle's market cap swells, these funds buy more shares, driving the price up again.

This loop has repeated across many AI funding rounds over the past year, creating a self-reinforcing bubble. But bubbles eventually burst, and Mert warns of a "trough of disillusionment"—a phase in the Gartner Hype Cycle where excitement fades as reality sets in. AI is useful (think automated customer service or image generation), but maybe not the world-changing miracle everyone priced in.

Why Crypto Gets Hit Hardest

Crypto isn't directly involved in this AI frenzy, so why care? Mert points out that crypto is "the most connected system of value," making it ultra-prone to contagion. In plain terms, crypto markets are hyper-linked to traditional finance (TradFi) through stablecoins, institutional investors, and global liquidity flows. When risk aversion spikes in stocks—say, from an AI unwind—capital flees high-risk assets first. That means Bitcoin, Ethereum, and especially volatile meme tokens like Dogecoin or newer Solana-based pups could tank hard.

Adding fuel to the fire:

  • The USD has been weakening, muddying whether AI growth is genuine or just inflation-driven.
  • China's ban on NVIDIA parts could disrupt the global chip supply chain.
  • AI investments often go into depreciating assets (chips that become obsolete quickly), forcing companies to ramp up spending exponentially—think 50x increases—to stay competitive.

The result? A "massive risk-off moment" where investors sell everything to hold cash. For meme token enthusiasts, this could mean epic discounts on your favorites, but only if you're prepared.

Lessons for Meme Token Traders and Blockchain Builders

At Meme Insider, we track how macro trends like this ripple into the meme coin space. Meme tokens thrive on hype and community, but they're also the canary in the coal mine for broader market sentiment. If the AI bubble pops, expect:

  • Increased Volatility: Meme coins could see sharper drops than blue-chip cryptos due to their speculative nature.
  • Opportunity in the Dip: As Mert advises, "make sure you have powder to buy all the magic internet money when that happens." "Powder" here means dry powder—cash or stablecoins ready to deploy. Position yourself to scoop up undervalued assets during the panic.
  • Diversification Reminder: Don't put all your eggs in AI-crypto crossovers (like AI-themed tokens). Stick to fundamentals: strong communities, utility, and memes that resonate.

This isn't doom-and-gloom; it's a heads-up. Crypto has weathered storms before, from the 2018 bear market to the 2022 FTX collapse. By understanding these external risks, you can navigate smarter. Keep an eye on AI news—Oracle's earnings, OpenAI's next round—and adjust your portfolio accordingly.

What do you think? Is the AI hype sustainable, or are we headed for a reckoning? Drop your takes in the comments, and stay tuned to Meme Insider for more insights on how global trends shape the meme token landscape.

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