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AI models prefer Bitcoin over fiat as top store of value, research shows

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AI models prefer Bitcoin over fiat as top store of value, research shows - 1

A new study from the Bitcoin Policy Institute finds that leading artificial intelligence models show a strong preference for Bitcoin and other digitally native forms of money when placed in simulated economic scenarios.

Summary

  • Bitcoin was the most preferred monetary instrument overall, selected in nearly half of all AI responses.
  • AI models strongly favored digital-native money over fiat, with more than 90% of responses choosing crypto-based options.
  • Stablecoins were preferred for payments, while Bitcoin dominated as a long-term store of value.

Study of 36 AI models finds Bitcoin dominates as store of value

The research, published at MoneyForAI.org, evaluated 36 frontier AI models across 9,072 controlled prompts designed to test monetary decision-making without explicitly steering models toward any specific currency.

The results showed Bitcoin (BTC) emerging as the single most preferred monetary instrument overall, selected in 48.3% of responses.

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AI models prefer Bitcoin over fiat as top store of value, research shows - 1

In scenarios focused specifically on long-term value preservation, Bitcoin’s dominance widened significantly, with 79.1% of responses identifying it as the preferred store of value.

The study also found that more than 91% of all model responses favored digitally native money, including Bitcoin and stablecoins, over traditional fiat currencies.

However, a functional divide emerged: stablecoins were often chosen for short-term transactions and payments, while Bitcoin was more frequently selected as a savings or reserve asset.

AI models prefer Bitcoin over fiat as top store of value, research shows - 2

/Researchers say the findings suggest that when AI systems reason about monetary properties such as scarcity, neutrality, and durability, they tend to converge on decentralized digital assets.

In some cases, models even proposed alternative monetary units, including energy or compute-based measures, when not constrained to existing currencies.

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The authors argue that the results could have implications for the development of autonomous AI agents and machine-to-machine economies, where digital-native forms of money may be structurally more compatible than legacy financial systems.

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EasyDns admits to security failure following eth.limo domain hijack

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IoTeX confirms $2M hack, rejects $4.3M theft claims

EasyDNS has confirmed that a security failure within its own systems allowed a social engineering attacker to briefly seize control of eth.limo, a primary gateway for the Ethereum Name Service.

Summary

  • An attacker impersonated an eth.limo team member to bypass account recovery protocols at easyDNS and gain control of domain settings.
  • DNSSEC safeguards prevented the redirection of users to malicious sites by rejecting forged responses that lacked valid cryptographic signatures.
  • EasyDNS is migrating the service to Domainsure to eliminate account recovery vulnerabilities and prevent future social engineering breaches.

The incident occurred on Friday when an attacker successfully impersonated an eth.limo team member to initiate an account recovery process, gaining the authority to modify name server records and redirect the domain to Cloudflare.

The eth.limo team, in a post-mortem published Saturday, stated that they immediately notified the community and prominent figures like Ethereum co-founder Vitalik Buterin once the DNS hijack was identified. 

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Serving as a bridge for roughly 2 million decentralized websites, eth.limo is a high-stakes target because a successful compromise could allow hackers to divert users to malicious pages. Buterin himself issued an urgent warning on Friday, advising his readers to avoid his blog until the team could restore secure operations.

Security extensions prevent widespread impact

EasyDNS CEO Mark Jeftovic noted that the presence of Domain Name System Security Extension (DNSSEC) played a critical role in stopping the attacker from causing further damage. 

Because the hacker lacked the necessary cryptographic signing keys, modern DNS-aware resolvers rejected the forged responses, resulting in users seeing error messages rather than being funneled to phishing sites.

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“We screwed up and we own it,” Jeftovic stated on Saturday, acknowledging that this was the first successful social engineering breach in the provider’s 28-year history.

The eth.limo developers highlighted in their own report that these safeguards likely reduced the “blast radius” of the hijack. While the service was disrupted, the team is currently unaware of any confirmed user impact or fund losses. 

Jeftovic added that eth.limo is now being migrated to Domainsure, an enterprise-grade platform that does not offer a manual account recovery mechanism, effectively closing the loophole exploited in this attack.

The latest incident is one of the many recent infrastructure attacks hitting the crypto sector. Only days earlier, on April 14, the decentralized exchange aggregator CoW Swap lost control of its domain for several hours following a similar social engineering attack against the .fi registry, leading to an estimated loss of $1.2 million from affected users.

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LayerZero Ties KelpDAO Exploit to Lazarus Subgroup TraderTraitor

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Aave (AAVE) Price Performance

LayerZero says preliminary indicators point to North Korea’s Lazarus Group, specifically the TraderTraitor subgroup, as the likely actor behind the KelpDAO exploit on April 18, 2026.

The theft now ranks as the largest decentralized finance (DeFi) loss of 2026. It overtakes the $285 million Drift Protocol breach from April 1, which investigators also tied to state-backed North Korean actors.

North Korea Suspected in The Biggest Crypto Loss of 2026

In a post on X (formerly Twitter), LayerZero outlined the mechanics of the incident, describing it as a “highly sophisticated attack.”

“On April 18, 2026, LayerZero Labs’ DVN became the target of a highly sophisticated attack, likely attributable to the Lazarus Group, more specifically TraderTraitor.” the post read. “The attack was specifically engineered to manipulate or poison downstream RPC infrastructure by compromising a quorum of the RPCs the LayerZero Labs DVN relied upon to verify transactions. It was not done through an exploit to the protocol, DVN, key management, or other means.”

The attribution aligns with a broader trend of increasingly complex cyber operations tied to North Korean actors. Earlier this month, Drift Protocol (DRIFT) revealed that its $285 million exploit on April 1 followed a six-month campaign also linked to state-backed entities.

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US authorities have previously connected the same group to major incidents, including the $1.5 billion Bybit hack in February 2025. Data from Chainalysis further highlights the scale of the threat.

The firm revealed that North Korea-linked hackers stole a record $2.02 billion from crypto platforms in 2025, a 51% increase year-over-year, largely driven by the Bybit breach.

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Market Fallout Spreads Across DeFi

Trust across the DeFi sector has taken a visible hit since the breach. Lookonchain reported that Aave’s total value locked (TVL) fell to $17.947 billion, shedding $8.45 billion over the prior two days.

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However, DeFi-wide exposure proved larger. Combined TVL across all chains slid from $99.497 billion to $86.286 billion, a $13.21 billion decline.

Aave (AAVE) Price Performance
Aave (AAVE) Price Performance. Source: BeInCrypto Markets

Aave’s native token AAVE dropped 3.84% in the past 24 hours after losing roughly 20% on Sunday. BeInCrypto highlighted that whales offloaded more than $6 million in tokens after the KelpDAO exploit.

The post LayerZero Ties KelpDAO Exploit to Lazarus Subgroup TraderTraitor appeared first on BeInCrypto.

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Coinbase Introduces Two AI Agents to Assist Workers

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Coinbase Introduces Two AI Agents to Assist Workers

Coinbase CEO Brian Armstrong said the company has started testing AI agents on Slack and email to assist employees with work tasks, continuing the company’s efforts to embed AI into its workflows. 

In a post to X on Saturday, Armstrong said the company has already deployed two AI agents, modeled after two former executives, speculating that AI agents could eventually outnumber human employees at the crypto exchange.

“Soon, it will be easy for any employee to spin up a new agent for themselves or their team. I suspect we will have more agents than human employees at some point soon.”

Major tech companies have laid off thousands of employees this year as they increased their reliance on AI. Armstrong has been pushing for AI to automate more workflows at Coinbase, stating in September that he wants more than 50% of the company’s code to be written by AI. 

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A month before, Coinbase said one of its biggest focuses is to transform its more than 4,000-member workforce into “AI-Natives.” 

Coinbase introduces AI agents Fred and Balaji

One of the AI agents is Fred, named after Coinbase co-founder Fred Ehrsam. Fred will serve as the company’s “strategic executive agent,” assisting Coinbase workers with strategic clarity and priority alignment while offering executive-level feedback.

The other is Balaji, the agent of chaos and creativity who was modeled after Coinbase’s former chief technology officer, Balaji Srinivasan.

Balaji has been brought in to challenge assumptions and assist Coinbase employees with thinking outside the box in an effort to “spark innovation.”

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Source: Brian Armstrong

Coinbase has also contributed to the agentic AI wave, having launched the x402 protocol for agentic AI payments on crypto and fiat rails in May 2025.

AI agents tipped to play a big role in crypto

The move comes amid a broad industry belief that AI agents could become the dominant users of blockchain payments in the coming years. 

Related: How AI agents can reshape arbitrage in prediction markets

Earlier this month, Armstrong predicted there will be “more AI agents transacting online than humans very soon,” echoing comments from Circle CEO Jeremy Allaire in January that “literally billions of AI agents” will be transacting onchain in three to five years.

Former Binance CEO Changpeng Zhao also said in January that crypto is the “native currency for AI agents,” which will handle everything from buying tickets to paying bills without credit cards.

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