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{{年份}}
30
04
upgrade Celestia Mainnet Upgrade

Improves data availability sampling efficiency

12
05
halving BCH Halving

Block reward halving event

08
04
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Independent validator client goes live on mainnet

18
03
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10
05
upgrade Ethereum Pectra Upgrade

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22
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28
03
unlock Arbitrum Token Unlock

92 million ARB released

15
04
halving Bitcoin Halving

Block reward reduced to 3.125 BTC

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# Coin Price
1
Bitcoin BTC
$64,088.2
1
Ethereum ETH
$1,843.97
1
Solana SOL
$74.91
1
BNB Chain BNB
$570.1
1
XRP Ledger XRP
$1.09
1
Dogecoin DOGE
$0.0722
1
Cardano ADA
$0.1645
1
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$6.56
1
Polkadot DOT
$0.8325
1
Chainlink LINK
$8.27

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The Voluntary Trap: How Biden's AI Executive Order Creates a Liquidity Blind Spot for Crypto

On-chain | CryptoZoe |

The market doesn’t care about your narrative—it cares about the liquidity that narrative can attract.

On October 30, 2023, President Biden signed an Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence. The headlines screamed "voluntary cooperation," "cybersecurity focus," and "no mandatory licensing." The crypto Twitterati immediately cheered: less regulation means more innovation, more DePIN, more AI-agent tokens. I read the same text and saw something else entirely.

We didn't see the blind spot.

The blind spot is simple: voluntary frameworks create an illusion of safety that attracts capital, but the underlying risk remains unhedged. For crypto markets—especially tokens tied to AI compute, data, and agent economies—this Executive Order is not a greenlight. It is a trap. A carefully constructed liquidity vacuum that will lure in retail FOMO, then snap shut when the first real-world AI incident forces a regulatory pivot.

Context: The Narrative Cycle of US AI Policy

Let me rewind. Since 2020, I have watched three distinct regulatory cycles play out in crypto: the DeFi "wait-and-see" period (2020-2021), the enforcement shock (2022-2023 with Tornado Cash sanctions), and now the current phase of "managed ambiguity." The AI Executive Order fits squarely into the third phase, but with a critical difference: the crypto industry has no seat at the table.

The order creates an "AI Safety and Security Board" under the Department of Homeland Security, a "National AI Research Resource" task force, and a "voluntary commitments" framework with major AI companies like OpenAI, Google, and Microsoft. Notice something missing? Decentralized compute networks (Akash, Render), AI-agent protocols (Fetch.ai, SingularityNET), and privacy-preserving ML frameworks (Oasis, Phala) are not invited. The government is building a walled garden for centralized AI, and crypto-native AI is left outside.

Based on my experience in 2021 analyzing NFT tribal liquidity, I can tell you: being outside the garden is not necessarily bad. But when the garden decides to regulate the weeds, the weeds suffer collateral damage.

Core: The Liquidity Mechanism of Voluntary Compliance

Let me break down why this order is net bearish for crypto AI tokens, despite the surface-level optimism.

Signal vs. Noise

The Executive Order explicitly states: "Encourage voluntary commitments… without imposing mandatory licensing." The market reads this as deregulation. But the signal is not in the words—it is in the infrastructure. The order allocates $140 million to establish seven National AI Research Institutes, mandates the development of a "National AI Research Resource" (a shared cloud-compute infrastructure for researchers), and requires federal agencies to adopt "minimum cybersecurity standards" for AI systems.

Translation: the government is building a centralized alternative to decentralized compute. The National AI Research Resource is a government-subsidized cloud that will compete directly with protocols like Akash and Golem. For researchers, using a free, government-backed compute pool is easier than navigating tokenized markets. The liquidity that might have flowed into DePIN compute tokens will instead be absorbed by soft-power state infrastructure.

The Cybersecurity Angle

The order’s cybersecurity provisions are even more dangerous for crypto. It mandates that AI systems used in critical infrastructure (energy, water, finance) undergo red-team testing and vulnerability disclosure. But here is the blind spot: the order does not define what constitutes "critical infrastructure" for AI. In crypto, we already saw the Tornado Cash precedent—writing code became a crime. Now, any AI agent that touches DeFi protocols could be deemed "critical infrastructure" for financial services.

Imagine the scenario: a DeFi lending protocol integrates an AI-powered risk oracle. The Executive Order’s cybersecurity guidelines, enforced through voluntary commitments by the cloud providers hosting the oracle, effectively compel the oracle operator to comply. If they don’t, the cloud provider (AWS, Azure) can cut their access. This is regulatory bifurcation by proxy—the state never touches the blockchain, but it controls the pathways to the internet.

Tokenomics of Compliance

I audited over 20 DePIN and AI-agent token models in 2024. A common flaw is the assumption that "decentralized" means "regulatory-proof." This order proves otherwise. The voluntary framework creates a new cost center: compliance-as-a-service. AI protocols that want to access US liquidity will need to hire legal teams, implement KYC/AML for compute providers, and prove they are not "critical infrastructure." These costs are not priced into current token valuations.

Consider the supply side: if AI compute providers (e.g., Render node operators) are based in the US and subject to voluntary guidelines, they may be forced to reject workloads from high-risk AI projects (e.g., deepfakes, autonomous trading bots). This reduces the utility of the network, lowers demand for the token, and depresses staking yields. The market doesn't care about decentralization—it cares about yield. When yields drop, liquidity leaves.

Contrarian: The Crash is the Setup

Now for the counter-intuitive angle. Most analysts will tell you this Executive Order is a net positive because it avoids the EU’s catastrophic AI Act (which has already caused some researchers to leave Europe). I disagree. The voluntary framework is actually more dangerous for crypto because it creates a false sense of safety that encourages over-leveraged positioning.

Here is the contrarian narrative: the order is designed to fail in its current form, and that failure will trigger a violent regulatory backlash within 12-18 months.

Why? Because the order lacks enforcement teeth. If a rogue AI bot causes a major market disruption (e.g., a flash crash triggered by an AI-generated fake news story), the public will demand action. The White House will pivot from "voluntary commitments" to "mandatory licensing" overnight. This is exactly what happened with Tornado Cash: a voluntary OFAC sanctions list became a mandatory enforcement action after the Axie Infinity hack.

The same logic applies here. The Executive Order sets up a reporting structure for AI incidents. Once the first incident hits, the government already has the infrastructure to escalate. The Board already exists. The research resource is funded. The only missing piece is the legal mandate. This is a regulatory landmine waiting to be stepped on.

What Crypto Can Do

DePIN and AI-agent projects need to proactively decouple from US-compliant infrastructure now. That means migrating compute nodes to jurisdictions outside the enforcement umbrella—Singapore, UAE, Switzerland. It means building their own private AI models on open-source weights (Llama, Mistral) to avoid cloud provider dependencies. It means designing tokenomics that incentivize operators in non-US jurisdictions through yield differentials.

I am already seeing this migration. In 2025, Abu Dhabi will become a hub for uncensored AI compute—not because of lax regulation, but because of regulatory certainty. The UAE’s AI Minister has explicitly stated that the country will not adopt US-style voluntary frameworks for decentralized networks. That is the alpha: follow the liquidity that is fleeing the voluntary trap.

Takeaway: The Next Narrative Curve

The Executive Order is not the end of a story—it is the first chapter of a regulatory war between centralized and decentralized AI infrastructure. The battle will be fought not on Capitol Hill, but on the cloud provider pricing pages and the node operator reward curves.

For investors: look for tokens that offer geographical dispersion of compute resources (like the recent Akash update enabling multi-cloud routing). Sell tokens that are heavily reliant on US-based node operators or AWS/GCP integration. The blind spot is the assumption that "voluntary" means "free." It does not. Voluntary means the cost of compliance is hidden, and that hidden cost will eventually be revealed when liquidity dries up.

The market doesn't care about your narrative. It cares about the liquidity that narrative can attract. Right now, the narrative of "AI deregulation" is attracting capital into a trap. The real alpha lies in identifying the trap, positioning for the escape, and waiting for the reset.

We didn't see the blind spot in 2022—until Terra collapsed. We didn't see the blind spot in 2023—until Binance settled. Don't miss this one again.

Views expressed are my own. Not financial advice. Based on my experience as a token fund manager and participant in the 2020 DeFi yield arbitrage, the 2021 NFT tribal liquidity analysis, and the 2022 bear market contrarian plays.

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