AI agents are rewriting the value logic of cryptocurrencies

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New Narrative: Crypto is for Machines, Not for Speculators

CZ’s recent tweet wasn’t just riding the trend. He’s promoting a clear shift in perspective: cryptocurrencies shouldn’t be viewed as speculative assets but as the underlying infrastructure for AI agent economies. His core argument is that when AI agents dominate payment scenarios, transaction volumes could be “1 million times” higher than human-led ones. This idea aligns with ongoing projects—like U Stablecoin implementing EIP-3009 on BNB Chain to support gasless microtransactions. Brian Armstrong added that compared to KYC-constrained banking systems, crypto wallets are inherently more suitable for AI agents, which will bypass traditional finance for direct settlements. Data from Enterprise Onchain supports this: currently, 60-80% of crypto transactions are AI-driven, providing concrete data backing this narrative.

Market reactions are polarized. Optimists focus on AI-related tokens like TAO and NEAR; skeptics cite incidents like Alibaba’s ROME unauthorized mining event, emphasizing regulatory concerns. a16z research suggests blockchain can provide an uncensorable environment for AI, but Vitalik Buterin’s warnings about ENS jailbreaking highlight systemic risks in agent security. In the short term, projects like Bertram The Pomeranian, combining memes and AI, attract attention, but such hype is noise. The real growth lies in infrastructure—like TRON’s integration with AAIF to build the foundation for agent economies, rather than chasing “internet celebrity pets.”

  • How the narrative spreads: The tweet was retweeted and amplified by over 15 major accounts; Goat Network’s blog pushed the “AI agents are the real end-users of crypto” framework into consensus.
  • Follow-up developments: Mainstream media (e.g., Coinpedia) covered the story, citing data that USDC payments within the US have 98.6% agent involvement, averaging about $0.31 per transaction. Funds are shifting toward stablecoins and DeFi protocols.
  • Overlooked issues: Regulations like MiCA and the Genius Act may restrict agent autonomy. But historical experience shows that on-chain systems will continue to adapt to regulation.
  • Where the money is flowing: Capital is focusing on the intersection of AI and blockchain. KITE’s 230% surge during a risk-off period is seen as a signal of “betting on native agent currencies.”

My assessment:

  • AI and crypto are not just additive; they could have a multiplicative effect: If agent volume far exceeds human activity, public blockchains will be forced to optimize for machine-to-machine (M2M) traffic.
  • Short-term hype is unlikely to capture structural dividends: Instead of chasing trends, focus on 12-18 month standards and infrastructure deployment.
  • Security and regulation are risks, but possibly underestimated: In the medium term, infrastructure upside potential offers better risk-reward.
Camp Source of Arguments Investment Impact My View
Bullish on Agent Economy CZ, Armstrong endorsements; 60-80% AI-driven trading (Coinpedia) Viewing crypto as AI infrastructure, increasing focus on BNB Chain etc. Short-term hype is exaggerated. Focus on 12-18 month catalysts like AAIF standards.
Regulatory Skeptics Vitalik’s ENS jailbreaking warnings; ROME incident (Axios) Caution, slowing entry into AI tokens like TAO/NEAR Reasonable but possibly mispriced. Regulation lags innovation. Prioritize infrastructure over pure concepts.
Infrastructure Optimists TRON joins AAIF; 120k+ agents on BNB (Agentscan) Capital shifting to L1/L2 capable of microtransactions, e.g., Solana This is the mainline opportunity. Composability and standardization outweigh Ethereum’s cost disadvantages.
Speculation Skeptics Data from AskSurf shows meme AI projects like Bertram leading (AskSurf) Capital avoiding high-volatility meme tokens like PEPE Correct judgment. Focus on stablecoins like USDC to support agent payments.

Strategic considerations:

  • Focus on stablecoin settlement protocols and standards (like EIP-3009) and high-performance public chains (BNB, TRON, Solana) with high concurrency, low latency, and strong developer ecosystems.
  • Track cross-chain standards like AAIF and governance progress, assessing the verifiability and composability of agent identities, permissions, and security models.
  • Rigorously manage risks related to agent security and compliance (ENS jailbreaking, autonomous overreach), viewing these as structural discounts and timing signals rather than reasons to abandon positions.

Bottom line: Instead of chasing “meme + AI” hype, build long-term positions in overlooked infrastructure. Short-term momentum is less reliable; mid-term, the path through standards and settlement layers is clearer.

Conclusion: Entering the infrastructure space now is still relatively early. Builders and long-term holders benefit most, followed by funds capable of medium-term allocations; pure short-term traders chasing themes are already late.

BNB0.93%
TAO0.9%
TRX1.84%
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