StakeStone has teamed up with the Trump family’s crypto project, WLFI, to offer cross-chain liquidity support for the USD1 stablecoin. This collaboration bridges real-world assets (RWA) and native DeFi liquidity, allowing users to move funds seamlessly across different blockchains. The partnership also enables users to earn sustainable yields and access liquidity without locking up their assets, making it easier for everyone to manage and grow their investments in the crypto space.
Ethereum whales have been aggressively buying the ETH price dips while adding a total of 1.1 million coins within just the past 48 hours. Following President Donald Trump’s signing of the executive order for the US strategic reserve, ETH has seen a 6% drop today amid the broader market correction. However, institutional players could once again charge in leading to trend reversal soon.
Ethereum Whales Are Aggressively Buying the Dips
Crypto analyst Ali Martinez has highlighted a significant development in the Ethereum market, revealing that whales have purchased 1.10 million ETH within the past 48 hours.
Source: Ali Martinez
The sudden accumulation has raised speculation within the community, with Martinez questioning whether the whales have insider knowledge of upcoming market developments. This surge in whale activity could signal confidence in Ethereum’s future prospects or an anticipation of a major event.
A day before, Donald Trump’s DeFi project World Liberty Financial purchased $10 million worth of Ethereum. Overall, they purchased a total of 4,468 Ethereum (ETH) at a price of $2,238 per ETH.
The ETH whale action has surged over the past week, along with an additional purchase of 110,000 ETH. Historical data suggests that significant accumulation by Ethereum whales often precedes periods of price stabilization or upward movement for Ethereum. “As long as Ethereum $ETH stays above $2,200, the odds of a rebound increase,” noted analyst Martinez.
Currently, the ETH price is trading 5.75% down at $2,170 levels with a market cap of $261 billion. The 24-hour liquidations have shot up above $71 million, of which $52.96 million is in long liquidations, despite the executive order for US strategic reserve involving ETH.
Will ETH Price Bounce Back Strongly From Here?
On-chain analytics firm Santiment revealed that Ethereum sentiment has dropped to its lowest levels of the year amid strong underperformance. Despite the bearish mood dominating social media discussions, Santiment suggests this could be a positive indicator for long-term holders.
Source: Santiment
Crypto analyst Titan of Crypto dismissed fears about Ethereum’s decline, emphasizing that the second-largest cryptocurrency remains technically robust.
According to the analyst, Ethereum continues to move within a broadening wedge pattern—a bullish technical setup. Additionally, ETH recently revisited the “Reload Zone” (RLZ), a key price area where professional traders often look to initiate long positions or accumulate more. Also, the below image shows that the RSI is in the support zone and likely to bounce from here.
In 2025, AI agents became the newest obsession for crypto market participants. They were integrated into decentralized finance (DeFi), gaming, infrastructure, and even DAO governance, touted as the next evolution of Web3 intelligence.
With this in mind, BeInCrypto contacted OORT CEO Dr. Max Li for his perspective on whether these autonomous, machine-learning-driven software acting on behalf of users could reshape crypto. Li had some interesting insights, but warned that real-world adoption, security, and regulation are the biggest hurdles ahead.
The AI Agent Gold Rush: Disruption or Distraction?
Data from the AI Agents Directory indicates an average monthly increase of 33% in the number of AI agents.
However, despite the growing interest, Web3-based artificial intelligence solutions still account for a minimal fraction (3%) of the overall AI agent ecosystem.
According to Dr. Max Li, founder and CEO of decentralized cloud network OORT, the space is moving faster than its infrastructure can handle, pointing to models like ElizaOS (formerly ai16z).
Yet, in his opinion, the broader playing field is not ready. He says the core infrastructure, from decentralized storage to tokenized agent marketplaces, is still under construction.
The Real Bottleneck? Security, Not Speed
While scalability is often seen as crypto’s weakness, Max Li says security and compliance are bigger threats. This is especially true when tokenizing AI outputs like computing, decision-making, or real-time data.
Dr. Li added that tokenized AI raises difficult questions. Who owns the data that the agents generate? How can decentralized systems comply with global data laws like GDPR? And what happens when AI agents interact with sensitive personal or financial information on-chain?
“These may already be more significant barriers than scalability,” Dr. Li warned.
The OORT executive emphasized that without clear custodianship or compliance frameworks, the risks extend beyond crypto to regulators, investors, and end-users.
Enterprise Adoption Isn’t Coming Anytime Soon
The industry often claims AI agents will bring real-world industries on-chain. However, Dr. Li says it is still a fantasy, particularly in the public blockchain.
He explained that while enterprises like Walmart could benefit from AI for internal operations, there is little incentive to tokenize those agents. Traditional firms want efficiency and control, not decentralized tokens wrapped around their core systems.
“Most enterprises would prefer to keep that data within their own secured servers rather than exposing it on a public, decentralized network,” he said.
While private chains may offer a bridge, Max Li says the idea of tokenized agents powering real-world logistics or finance is, for now, a crypto-native dream.
A Market Fueled by Hype
AI agent tokens have exploded in 2025. Riding the momentum of both AI and crypto, they have attracted massive capital inflows. However, Dr. Li parallels the dot-com bubble, concluding that while innovation is real, the market is overheated.
Based on this, he does not believe the current rally is sustainable: “It’s fair to say there’s a bubble forming here.”
This sentiment echoes Binance founder Changpeng Zhao (CZ), who recently warned that most AI token projects launch too early.
“Too many AI agent developers focus too much on their token and not enough on the agent’s usefulness. I recommend making a really good agent first,” wrote CZ in a post.
Zhao argued that only a tiny fraction of AI agents, say 0.05%, actually need tokens at this stage. Similarly, Hitesh Malviya, an analyst and popular figure on X, recently echoed this sentiment in a post.
“If you look outside the crypto echo chamber, you’ll find that we do have a solid ecosystem of free and better AI agents—and they don’t have tokens, nor might they ever need one. So, what we’re trading in the name of agents is nothing but memes—a value we created out of thin air, like we always do,” Hitesh observed.
Regulatory Turbulence Ahead
Perhaps the most underappreciated risk in the AI agent boom is regulation. The intersection of open AI systems, tokenized data, and borderless blockchains is a minefield for compliance.
Dr. Li warned of contradictions yet to be resolved: How can decentralized AI be transparent and private? Who is liable when agents act autonomously but cause financial losses?
“In the short term, regulatory intervention will likely create additional hurdles for innovation,” he concluded.
This is especially true where there is no global consensus. Until jurisdictions align on KYC (know-your-customer), AML (anti-money laundering) laws, and data governance, institutional adoption will remain cautious, if not frozen.
While the rise of AI agents is real, their integration into tokenized crypto ecosystems is still a high-risk, high-ambiguity frontier. Infrastructure remains fragile. Legal frameworks are missing, and real-world adoption is still speculative at best.
Dr. Max Li’s view is clear: crypto must shift its focus from hype to functionality—from token-first to agent-first design.
Only then will the next leap in AI-powered decentralization become more than just a market cycle.
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