Crypto World
Ai.Com, Founded by Kris Marszalek, Unveils Upcoming AI Agents
AI-driven agents are moving from the fringes of crypto discourse toward practical onboarding features, with ai.com announcing an autonomous AI agent aimed at retail users. The platform, led by Kris Marszalek, co-founder of Crypto.com, said the agentic AI would handle a range of tasks—from stock trading in traditional markets to workflow automation and even mundane calendar updates or adjustments to social profiles. The announcement emphasizes privacy controls: user data is segregated and encrypted with keys unique to each user, and the agent operates within restrictions defined by the user. If proven reliable, the technology could lower the barriers for newcomers navigating blockchain networks, token standards, and on-chain actions that historically demanded technical know-how.
Key takeaways
- The autonomous AI agent targets retail users, promising to automate tasks that span financial activities and everyday digital management, including calendar updates and social-profile changes.
- Data protection is central: per-user encryption keys and user-defined restrictions aim to limit what the agent can do on behalf of individuals.
- Interest in agentic AI is rising among enterprises, with about 23% of respondents in a McKinsey survey indicating their organizations are expanding the use of AI agents.
- Proponents argue AI agents could simplify crypto onboarding by choosing optimal execution paths and streamlining stablecoin usage, potentially reducing friction for newcomers.
- Industry observers see opportunity to automate wallet management and arbitrage under autonomous guidance, though security and governance questions remain.
Sentiment: Neutral
Market context: The emergence of autonomous AI agents comes as crypto markets grapple with onboarding friction, evolving user interfaces, and a push toward more accessible wallet and token management. The development aligns with broader enterprise AI adoption trends and a growing interest in agent-based automation within digital economies.
Why it matters
The promise of agentic AI in crypto hinges on lowering the entry barrier for non-technical users. By abstracting away the decision-making and operational steps involved in sending funds, selecting networks, or interacting with tokens, these agents could make it easier for newcomers to participate in decentralized finance and Web3 ecosystems without mastering complex interfaces or learning every token standard. In theory, an autonomous agent could scan networks for cost-effective routes, select faster payment rails, and automate repetitive tasks that currently require manual intervention. This shift could broaden the user base beyond hobbyists and early adopters to a more mainstream audience curious about crypto but deterred by technical hurdles.
The technology also carries implications for portfolio management and yield opportunities. Proponents point to the potential for agents to optimize arbitrage or identify yield-bearing opportunities across token standards, all while respecting predefined risk limits. If AI can consistently identify cheaper and faster execution paths and simplify stablecoin usage, it might encourage more users to explore diversified holdings, including tokens and assets that require more sophisticated transaction flows. However, the same capabilities that enable efficiency also raise concerns about misconfigurations, overreach, and the potential for exploited permissions if safeguards fail.
From a builder’s perspective, the introduction of autonomous agents could spur new abstractions around key management and secure signing. The emphasis on encryption and per-user keys signals a governance-driven approach to reduce cross-account risk, yet it also shifts responsibility for setting appropriate restrictions and monitoring agent behavior onto users. Security design, transparency about agent actions, and robust audit trails will become essential as these tools scale from pilot programs to broader consumer use. The balance between convenience and control will shape how quickly such technology gains trust and traction in crypto markets.
What to watch next
- Product availability and rollout timing: when will retail users gain access to the autonomous AI agent and what onboarding steps will be required?
- Security features and governance: how granular will user restrictions be, and what happens if an agent attempts an action outside approved scopes?
- Regulatory clarity: how will regulators respond to autonomous agents handling on-chain and off-chain tasks, particularly around custody and execution?
- Partnerships and integrations: will the agent integrate with major wallets, exchanges, or DeFi protocols to broaden supported actions?
- Adoption metrics: early user feedback, engagement levels, and the impact on friction-to-activation for new crypto participants.
Sources & verification
- ai.com announcement of autonomous AI agents for retail consumers via PR Newswire.
- “What is agentic AI and how does it work” explainer linked in the article.
- McKinsey & Company, The State of AI — findings indicating that about 23% of surveyed organizations are expanding AI agent usage.
- AI agents and blockchain redefine digital economy — Cointelegraph piece referenced for context on agentic AI in crypto.
- Crypto dev launches website for agentic AI to ‘rent a human’ — Cointelegraph reference for related developments.
Autonomous AI agents and onboarding: What it changes
The launch by ai.com signals a broader push to bring autonomous, decision-support tooling into crypto and Web3, moving beyond purely trading signals toward hands-off management capabilities. By positioning the agent as a general-purpose assistant capable of executing a spectrum of tasks—ranging from portfolio actions to routine digital housekeeping—the platform seeks to address the most persistent user-experience bottlenecks in crypto adoption: the misalignment between user intent and technical execution. The core proposition is simple in concept: let an autonomous agent navigate the complexities of networks, tokens, and wallets so that a typical user can focus on goals rather than steps.
On the execution front, proponents argue that agentic AI can select the most cost-efficient routes for transfers, optimize timing to benefit from price movements, and streamline interactions with stablecoins—reducing the cognitive load that typically accompanies crypto transactions. The promise extends to wallet management, where agents could monitor balances, rebalance portfolios, and even implement predefined risk controls without requiring manual intervention. This, in turn, could enable users to maintain exposure to a broader array of assets and token standards than they would manage manually, potentially increasing diversification while maintaining discipline over risk tolerance.
Security and privacy are central to the design. The announcement highlights segregated user data and encryption keys unique to each user, coupled with user-defined restrictions that govern what the agent can and cannot do. In practice, this means that the agent operates within a sandbox of permissions, reducing the likelihood that a single misstep could expose sensitive information or trigger unintended transfers. Yet the guardrails themselves become a new layer of governance: users must understand and configure the constraints that govern automated actions, and providers must offer transparent auditing to build lasting trust as these agents scale to millions of individuals.
From a market perspective, the idea of autonomous agents aligns with longer-term trends toward more accessible crypto experiences. The McKinsey statistic cited in the related discourse—about a quarter of organizations expanding AI agent use—reflects a broader appetite for automation across sectors. The convergence of AI with blockchain could unlock efficiencies that help onboarding and ongoing participation feel less daunting. Still, the trajectory depends on how convincingly these agents can demonstrate reliability, maintain security standards, and adapt to evolving regulatory expectations. The conversation is shifting from theoretical potential to measurable outcomes: user retention, reduced churn, and tangible reductions in friction points at critical milestones such as onboarding, funding a wallet, and executing trades.
Experts indicate that the most meaningful impact may emerge not from replacing human oversight entirely but from augmenting it. As one advocate noted, “When AI is integrated, all of the complexity in this space will be gone,” while emphasizing the capacity to manage more diverse token standards within a single interface. The vision is compelling: users could hold larger portfolios spanning different networks, with automation shouldering the operational burden while preserving user intent and control. In practice, this requires robust risk controls, clear visibility into agent actions, and defenses against errors or exploits. If these conditions are met, autonomous AI agents could become a mainstream feature of crypto wallets and platforms, accelerating both participation and sophistication among a broader user base.
Ultimately, the trajectory of autonomous agents will hinge on how well they balance convenience with accountability. They promise to unlock new forms of participation—a more fluid onboarding experience, the ability to react quickly to market opportunities, and a streamlined workflow for non-technical users. At the same time, they demand rigorous security, transparent governance, and a clear regulatory lens to address potential misuse. The coming months will reveal whether the initial demonstrations translate into a reliable product that can coexist with established trading and custody practices, or whether stakeholders will demand stricter standards before mass adoption takes hold.
Prediction market transactions surpassed 192 million in March 2026. This represents an all-time record as volume and user growth continued to accelerate year over year.
The figures, tracked by Dune, reflect a sector that has shifted from a niche use case into a multibillion-dollar financial market.
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The number of monthly users grew to a record high of 865,411, a roughly 118% increase from 396,642 in March 2025.
Monthly notional trading volume for prediction markets reached roughly $23.89 billion so far in March, a roughly 1,107% year-over-year increase. Nonetheless, it remains around 10.7% below January’s all-time high of $26.7 billion.
BeInCrypto’s exclusive analysis found that sports, crypto, and politics lead weekly volume on Polymarket. On Kalshi, the exotics category overtook politics in late February to secure a position among the top three categories by weekly volume according to Dune data.
The behavioral data also suggests a structural shift. On Polymarket, over 57% of users trade less than $100 per position.
The average active participant executes roughly 25 trades per day. That frequency mirrors patterns seen in retail stock trading rather than traditional betting.
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Despite the growth, prediction markets face increasing regulatory scrutiny. Lawmakers have introduced multiple bills in March alone, ranging from curbing insider trading to banning war-related contracts.
The post Prediction Markets Hit New Milestones in March Despite Growing Regulatory Scrutiny appeared first on BeInCrypto.
Lido DAO’s decentralized autonomous organization is weighing a one-off $20 million buyback of its governance token, LDO, in a bid to address a pronounced price dislocation relative to Ether. The plan would swap 10,000 stETH tokens from the treasury for LDO, with proponents arguing that the governance token is undervalued given the protocol’s fundamentals.
The proposal, submitted on Friday, outlines a staged approach: the treasury would acquire up to 10,000 stETH in smaller batches of 1,000 and swap each batch for LDO. Lido argues this move could restore alignment between LDO’s market price and the underlying health of the protocol, a gap it says has widened to historically large levels. As part of the process, each batch would require tokenholder approval, and results would be reported before the next tranche proceeds.
“This is not a routine fluctuation. It represents one of the most significant dislocations between LDO’s market price and its underlying protocol fundamentals in the token’s history.”
The time to act comes as LDO sits at an extended discount to Ether. Lido DAO notes LDO trades at about 0.00016 ETH, roughly 63% below its two-year median. At the same time, Lido remains the dominant force in Ethereum’s liquid staking market, holding about 23.2% of staked Ether, according to Dune Analytics data. That leadership has not come without controversy; previous assessments flagged the potential centralization risks tied to a single protocol’s dominance in securing a large share of the network’s staking.
Price and market metrics underscore the scale of the challenge. LDO is currently trading around $0.30, down about 95.9% from its peak near $7.30 in August 2021. Its market capitalization sits near $255 million, placing it around the 141st-largest token by value. The plan’s proponents argue that the proposed buyback could shore up sentiment by demonstrating active governance-driven capital allocation tied to the protocol’s real-world performance.
Key takeaways
- The Lido DAO proposal would execute a one-off $20 million buyback by swapping up to 10,000 stETH from the treasury for LDO, in batches of 1,000 stETH each, using limit orders or dollar-cost averaging to manage volatility.
- Approval for each batch would be required from tokenholders, and results would be disclosed after every tranche before proceeding.
- LDO trades at a steep discount to ETH (approximately 0.00016 ETH per LDO, about 63% below the two-year median), despite Lido’s leadership in Ethereum’s liquid staking sector.
- Lido’s dominance has been cited in the past as a potential centralization risk for the network, though the current governance move focuses on price alignment and treasury management.
- Revenue and fee dynamics in 2025 show Lido’s take rate rising to 6.1% even as staking fees declined, with total staking revenue dipping amid a broader market retrenchment.
Mechanics, governance, and investor considerations
The proposed buyback plan hinges on a staged governance process. If approved, Lido would execute batches of 1,000 stETH each, swapping them for LDO until the 10,000-stETH target is reached. The strategy emphasizes price discipline: Lido intends to use limit orders or a dollar-cost averaging approach to smooth entry and avoid abrupt price moves. Each batch would require a new round of tokenholder approvals, and the DAO would report results after every step to maintain transparency and accountability.
The broader context includes a look at Lido’s earnings trajectory. In 2025, Lido’s revenue declined by about 23% to roughly $40.5 million, driven largely by a drop in staking fees to about $37.4 million. Despite the revenue dip, the protocol’s take rate—defined as the percentage of staked ETH rewards retained as fees—improved from about 5% to just over 6% in 2025. Lido argues that the core fundamentals remain robust even amid a wider market pullback and a 13% cost improvement in 2025 versus 2024.
The idea of a buyback is not entirely new within Lido’s ecosystem. In November, a member proposed an automated buyback mechanism to support LDO’s price, but that proposal has not been implemented. The current plan reframes the concept as a one-off, governance-driven initiative tied directly to the treasury’s assets and the DAO’s long-term interests.
Implications for holders and the broader ecosystem
If the proposal advances, the immediate effect could be a temporary lift in LDO’s trading dynamics, especially if the market interprets the buyback as a signal that the DAO is willing to put treasury-backed resources toward balancing token price with protocol fundamentals. For investors, the move highlights a visible attempt to align incentives between token economics and the platform’s operational strength, particularly given Lido’s entrenched position in Ethereum staking and its influence on validator economics.
However, the plan also introduces governance risk and execution risk. The need for multiple rounds of tokenholder approvals means outcomes will be contingent on community sentiment and turnout. Moreover, the market’s reaction will hinge on how the buyback intersects with broader SEC-like scrutiny, market liquidity conditions, and the pace at which LDO could absorb new supply without dampening demand for the token’s governance role.
Looking ahead, observers will be watching whether the DAO proceeds with the proposed schedule, how each batch performs relative to market conditions, and whether this approach invites further debates about token economics, centralization concerns, and the resilience of Ethereum’s staking architecture as it evolves post-merge.
Readers should monitor Lido DAO’s governance votes and the market’s reaction to any announced results from each tranche, as these steps will illuminate how the community weighs treasury-backed interventions against the need to maintain decentralization and protocol integrity in a challenging macro environment.
The war just got bigger. Bitcoin briefly got smaller.
Bitcoin dipped to $65,112 early Monday morning, its lowest level since the February crash, before recovering to $67,402 as Asian markets opened.
The 24-hour range of $65,112 to $67,389 reflects a market that sold hard on overnight escalation headlines and found buyers near $65,000, a level that hasn’t been tested since the war’s opening weekend five weeks ago.
Ethereum recovered 2% to $2,044, Solana gained 0.9% to $83.48, and XRP added 1.4% to $1.35. The 24-hour green across the board masks a rougher weekly picture though. BTC is still down 1% on the week, ETH 0.9%, XRP 1.9%, and SOL 3.7%. Tron is the one name sitting in green, up 2.6% in a day and 4.6% on the week, quietly outperforming the entire majors complex.
The escalation this time came from multiple directions simultaneously. Iran-backed Houthi forces entered the conflict, opening a new front beyond the direct U.S.-Israel-Iran theater. Additional U.S. troops arrived in the Middle East, fanning fears of a ground operation.
The Wall Street Journal reported Trump is weighing a military operation to extract uranium from Iran, though no decision has been made. And Iran attacked two aluminum production sites in the region, sending the metal up as much as 6% and extending the war’s economic damage beyond oil and into industrial commodities.
Brent crude rose 2.5% to around $115 a barrel, now up roughly 90% year-to-date. Asian equities fell sharply, with South Korea’s benchmark down 3.2% on a technology stock selloff and Japan’s Nikkei dropping 3.4%. S&P 500 futures pared losses and were trading roughly flat, suggesting some stabilization after the initial reaction.
The $65,112 low matters technically. That level is within range of the $64,000 low from Feb. 28, the day the war started. Bitcoin has spent five weeks building a pattern of higher lows on each escalation, from $64,000 to $66,000 to $68,000 to $69,400 to $70,596.
Monday’s dip below $66,000 is the first time in weeks the floor has moved lower rather than higher. Whether it recovers and re-establishes the uptrend or marks the beginning of a break below the range that has held since the war began is the question for the rest of the day.
Meanwhile, oil at $115 and aluminum spiking on direct attacks on production facilities means the inflationary impact is broadening beyond energy into industrial supply chains. That makes the Fed’s position even harder and the rate cut timeline even more distant.
A Polymarket trader turned $676 into $67,608 on Saturday by capitalizing on a rare mistake during a UFC heavyweight bout, where the wrong fighter was initially announced as the winner.
The trader, known as LlamaEnjoyer on Polymarket and Verrissimus on X, watched the live fight between Tyrell Fortune and Marcin Tybura and suspected that a mistake may have been made when UFC presenter Bruce Buffer announced Tybura as the winner.
During that time, Polymarket shares for Fortune fell to one cent, and LlamaEnjoyer was able to place the $676 bet moments before Buffer corrected himself and declared Fortune the winner.
LlamaEnjoyer profited roughly $67,000 from the UFC’s brief blunder, allowing him to capture a near 100x return.
The incident shows the speed at which odds on prediction markets can whipsaw during live events.
Related: NYSE parent ICE completes new $600M investment in Polymarket
LlamaEnjoyer almost lost $100,000 initially
Speaking about the incident, the Polymarket trader said they almost put $100,000 on Tybura at 99 cents, presumably once the initial decision was made before realizing that something “was off.”
“Cancelled my order, scooped up 1c shares instead. the UFC corrected the winner seconds later. easiest 100x ever.”
The trader said they placed the trade before a UFC commentator said “We have a mistake,” meaning that they made the bet within 50 seconds of Tybura being incorrectly declared the winner.
29-28
29-28
30-27WHAT JUST HAPPENED? 😅
Marcin Tybura defeats Tyrell Fortune via unanimous decision! ☝️#UFCSeattle | Stream TNT Sports on HBO Max pic.twitter.com/PqlRwBYdTD
— UFC on TNT Sports (@ufcontnt) March 28, 2026
“There’s no way Tybura won that fight,” LlamaEnjoyer said.
Prediction markets have become one of the hottest use cases in crypto, with trading volumes clocking more than $10.4 billion so far in March, marking a tenfold increase from March 2025.
Over 865,000 users have placed bets on prediction markets like Polymarket, Kalshi and Opinion so far in March, spanning a wide range of events, from sports and politics to financial results, culture and more.
Magazine: IronClaw rivals OpenClaw, Olas launches bots for Polymarket — AI Eye
Lido’s decentralized autonomous organization has proposed a one-off buyback of its governance token to support price levels amid a prolonged downturn.
Summary
- Lido DAO has proposed a one-off buyback of up to 10,000 stETH, about $20M, to accumulate LDO amid what it calls a significant valuation gap.
- The token is trading roughly 63% below its two-year median against Ether and remains down 95.9% from its all-time high.
According to a governance proposal submitted by the Lido Ecosystem Operations team, the plan would allocate up to 10,000 stETH from the DAO’s treasury for Lido DAO to accumulate LDO (LDO). At current prices, the allocation is valued at nearly $20 million.
Framing the move as a response to mispricing, the DAO said it “represents one of the most significant dislocations between LDO’s market price and its underlying protocol fundamentals in the token’s history.”
If approved, the proposal would be executed in smaller batches of 1,000 stETH, up to a total of 10,000 stETH, with plans to use limit orders or adopt a dollar cost averaging strategy to avoid market volatility.
Token holders, however, have the right to review every tranche, as each batch would require separate approval before further execution.
Lido DAO also highlighted the LDO to ETH ratio, which it said was at “historically depressed levels,” trading at a steep discount to Ether, with its current ratio roughly 63% below its two year median.
Even though Lido remains in the top spot of the Ethereum liquid staking market with a market share of about 23%, according to Dune Analytics data, LDO price has fallen 95.9% from its $7.30 high.
In its latest update, the protocol reported a decline of 23% to $40.5 million in 2025, but the foundation argues that core performance remains strong despite the drop in revenue.
For instance, it noted that Lido’s rewards were down approximately 20% over the same period, while its costs improved 13% year over year. Its take rate has also increased from 5% to 6.11%.
“That dislocation is not justified by a proportional deterioration in protocol performance,” the DAO said.
OKX’s Ethereum layer-2 network, X Layer, has welcomed Aave to its DeFi roster, marking the 21st chain integration for the largest decentralized lending protocol by cumulative lending volume. Aave’s milestone of surpassing $1 trillion in cumulative lending volume was reached in late February, a development widely noted in market coverage. On X Layer, Aave adds about $23.5 billion in total value locked (TVL) across its lending and borrowing activities. X Layer, which launched in May 2024, previously carried a modest TVL around $25 million, illustrating how high‑profile integrations can accelerate growth for Layer-2 ecosystems. The deployment enables OKX Wallet and X Layer users to lend, borrow and earn yield directly on the network, eliminating the need to bridge assets to other chains.
Aave’s entrance into X Layer comes as part of a broader push to diversify DeFi access on a scaling-focused platform. OKX officials described the integration as a versatile expansion of its DeFi ecosystem that should benefit the full spectrum of X Layer users, from retail to developers. X Layer’s emphasis on speed and cost efficiency positions it as a practical on‑ramp for DeFi activity, offering roughly $0.0005 per transaction and one‑second block times. This combination of cheap, rapid transactions aims to reduce a key obstacle in cross-chain DeFi usage: friction and latency.
Key takeaways
- Aave expands to X Layer, marking its 21st chain integration and broadening DeFi access on OKX’s Layer-2 network.
- Aave’s cumulative lending volume tops $1 trillion, reinforcing its leadership in decentralized lending and its cross-chain appeal.
- X Layer’s on‑chain DeFi suite now includes major platforms such as Uniswap for swaps, Chainlink for oracles, and Stargate for cross‑chain transfers.
- Aave reports about $23.5 billion in total value locked, with net deposits on the platform exceeding $40 billion, outpacing competitors like Morpho (roughly $10 billion).
- The collaboration highlights ongoing cross‑chain DeFi expansion and the competitive dynamics among Layer-2 ecosystems as users seek cheaper, faster access to liquidity.
X Layer expands DeFi capabilities with Aave integration
The move integrates Aave’s lending and borrowing rails directly into X Layer, allowing users to deposit collateral, borrow against it, or earn interest on deposits without leaving the Layer-2 environment. For OKX Wallet holders and other X Layer participants, the integration reduces bridging costs and latency, delivering a more seamless DeFi experience on a network designed for high throughput and near-instant settlement. OKX emphasized that this integration broadens the DeFi toolkit available to its user base, potentially attracting both new users and existing DeFi participants seeking a more efficient on-chain experience.
X Layer launched amid a crowded Layer-2 market, positioning itself on scalability as a primary differentiator. Its stated proposition—low-cost transactions in a sub-second finality window—appears well-aligned with Aave’s need for fast, responsive liquidity access. By anchoring Aave to X Layer, the ecosystem gains a broader base of user activity that can tap into Aave’s treasury management, liquidity provisioning, and yield opportunities without the overhead of cross-chain messaging or bridges.
Aave’s historic milestone and cross-chain expansion
The Aave milestone of surpassing $1 trillion in cumulative lending volume underscores the protocol’s durable traction within DeFi. While the figure represents on-chain borrowing and lending activity rather than price or utilization metrics alone, it signals sustained engagement and capital allocation across the protocol’s markets. In parallel, Aave’s cross-chain footprint remains extensive; the protocol is deployed on more than 20 networks—including Ethereum, Arbitrum, and Base—continuing to monetize deposits and liquidity across multiple ecosystems.
Defi metrics reflect Aave’s market position as well. The protocol currently reports about $23.5 billion in TVL, a figure that positions it well ahead of near peers in the DeFi lending space. On a revenue and growth front, Aave has generated roughly $6.2 million in revenue over the last 30 days, a level that outpaces its closest competitor, Morpho, by a meaningful margin. These figures—TVL, net deposits, and revenue—highlight an established, profitable DeFi incumbent expanding its reach into Layer-2 networks like X Layer.
For context, Aave’s scale is complemented by a broad partnership network on X Layer. The platform joins other major DeFi players already integrated on the network, including Uniswap for swaps, Chainlink for price feeds and oracles, and Stargate for cross‑chain money transfers. The presence of these protocols signals a maturing liquidity fabric on X Layer, one that could attract more users who seek consolidated DeFi services on a single Layer‑2 chain.
The broader significance extends beyond a single deployment. As Layer-2 ecosystems compete to host robust DeFi primitives, expansions like Aave’s help validate the viability of on‑chain liquidity and lending on L2s. They also illustrate how leading protocols are differentiating themselves not just by features, but by the ease with which users can access and deploy liquidity in a multi-chain world.
Implications for investors, builders and users
For investors, the Aave–X Layer integration highlights the ongoing trend of cross‑chain DeFi maturation. The ability to access a leading lending market directly on an L2 reduces bridging costs and may spur higher utilization of capital across Layer-2 ecosystems. For builders and developers, the collaboration reinforces the importance of interoperability and modular DeFi stacks. As Uniswap, Chainlink, and Stargate join the mix on X Layer, developers gain a more cohesive environment to deploy and test new liquidity, pricing, and cross‑chain services without repeatedly migrating across chains.
As with all Layer‑2 expansions, observers will want to watch sustained user adoption, TVL trajectory, and the rate at which new DeFi services leverage Aave’s liquidity across X Layer. The balance between Layer‑2 efficiency gains and the continued demand for cross‑chain liquidity will shape how quickly X Layer moves from a niche option to a mainstream DeFi rail.
In the near term, the market will likely monitor whether X Layer can sustain its initial momentum as more users and protocols migrate to or experiment with Aave’s lending rails. The broader takeaway is that DeFi’s growth engine—efficient access to liquidity across networks—remains intact, with major protocols like Aave continuing to push the envelope on where and how users can borrow, lend, and earn yield.
Readers should keep an eye on subsequent updates from OKX and Aave regarding additional optimizations, expanded asset support, and any new DeFi partnerships on X Layer, which could further diversify the network’s liquidity and yield opportunities in the coming months.
Hyperliquid is decentralized, but geography still matters, as new research by Glassnode shows traders closer to its infrastructure have a clear speed advantage.
Trades from Tokyo-based users can reach the protocol’s validators in as little as 2 to 3 milliseconds. That’s far better latency than European users, who face delays exceeding 200 milliseconds.
That’s because Hyperliquid’s 24 validators are clustered in Tokyo, deployed across multiple availability zones in Amazon Web Services’ ap-northeast-1 region. The API layer routes through AWS CloudFront, but the validators sit in a single Japanese cloud region.
This shows that while decentralized platforms like Hyperliquid preserve core principles of open access, transparency, and the absence of centralized oversight to remove control asymmetries, speed and execution asymmetries still exist. So, while the market remains structurally fair and permissionless, traders with better proximity to infrastructure can still have an edge, highlighting an inherent tension between decentralization and equal participation in practice.
In a time-ordered system, geography determines queue priority. A trading desk in Tokyo can reach the matching layer hundreds of milliseconds ahead of competitors in Hong Kong, Singapore, or the U.S., securing a better position, tighter spreads, and higher fill probability.
Hyperlatency’s order-to-fill measurements put numbers on the gap. From AWS Tokyo, the median round-trip to place and confirm an order is 884 milliseconds, of which roughly 879 milliseconds is server-side processing and just 5 milliseconds is network transit.
From Ashburn, Virginia, the total rises to roughly 1,079 milliseconds. The edge is about 200 milliseconds on a one-second fill, a margin that compounds across an exchange regularly handling more than $4 billion in daily perpetuals volume.
This research, however, isn’t without its critics. One person on X pointed out that more complicated order instructions submitted from the Tokyo region can hit a roundtrip latency time of 400ms.
Tokyo’s role as crypto’s infrastructure capital is not new. Centralized exchanges have clustered deployments around the city’s AWS region for years, drawn first by proximity to Asian trading flow and then by a regulatory framework Japan built after the collapse of Mt. Gox.
At Token2049 in Singapore last year, crypto executives described Tokyo as the center of gravity for digital asset infrastructure in Asia.
“Japan had no regulation for a long time, don’t forget, that’s where crypto basically happened, and then it went super stringent, and nothing happened for a long time,” Konstantin Richter, the CEO of Blockdaemon, told CoinDesk during Token2049. “But people kept on chiming away, and now they actually have a regulatory infrastructure that’s institutionally scalable and about ready to pop.”
Richter said his company’s clients in Japan are willing to pay for institutional-grade infrastructure.
BitMEX CEO Stephan Lutz put it more directly. “We were in Ireland before … but it became more and more difficult because basically everyone except the U.S. players are in the Tokyo data centers,” he said.
The switch boosted liquidity by roughly 180% in BitMEX’s main contracts and up to 400% in some altcoin markets, gains Lutz attributed to the latency reduction from being in Tokyo, not market-maker recruitment.
AWS Tokyo: crypto’s Mahwah
Hyperliquid is not unique in this regard. Binance and KuCoin also run significant infrastructure on AWS ap-northeast-1.
An April 2025 AWS outage caused service degradation across multiple platforms, underscoring how much of crypto’s plumbing runs through a single cloud region and Amazon itself (data shows that around 36% of all Ethereum nodes are powered by AWS).
In traditional finance, exchanges neutralize this kind of geographic advantage by design.
NYSE uses optical backscatter reflectometry in its Mahwah data center to equalize cable lengths to the nanosecond.
Deutsche Börse normalizes cross-connects to within 2.5 nanoseconds. IEX routes every order through a 350-microsecond speed bump, 38 miles of coiled fiber, to eliminate proximity advantage.
Europe’s MiFID II mandates clock synchronization to 100 microseconds and externally audited cable-length equalization. Those safeguards took decades to develop. Nothing equivalent exists in decentralized markets.
For now, crypto traders appear comfortable with that asymmetry. Hyperliquid has seen sustained growth despite its centralized infrastructure concentration. But as processing times compress and institutional capital enters DeFi, the dynamics are clear: speed determines position, and position determines liquidity.
The latency arms race that reshaped Wall Street is arriving in decentralized finance. It runs through Tokyo.
Prediction market transactions have hit record highs in March, amid growing interest in political and geopolitical event contracts, improved accessibility and positive regulatory developments for the industry.
According to prediction markets data tracked by Dune, the number of transactions for March is over 191 million so far, which is already a 2,838% increase compared to the same time last year.
Blockchain intelligence firm TRM Labs said in a report on Friday that the sector has grown significantly with Google Finance and mainstream media coverage of live odds.
“Prediction markets have scaled rapidly due to improved accessibility, regulatory developments, and integration with mainstream platforms. They are increasingly used as real-time indicators of geopolitical and macroeconomic events,” TRM Labs said.
Prediction markets allow users to trade contracts on the outcome of future events. They are emerging as a significant real-world use case for blockchain, with some platforms relying on crypto rails and stablecoins for settlement and payments.
US politics, macro decisions attract most interest
Monthly notional trading volume for prediction markets reached roughly $23.9 billion in March so far, up sharply from $1.9 billion at the same time last year, according to Dune, though still 12% below January’s all-time high.
TRM Labs noted that crypto-native topics have taken a back seat as users flock to contracts tied to political and global events.
“Geopolitical events, US politics, and macroeconomic decisions account for the majority of trading volume. Crypto-native topics, while prevalent, now represent a smaller share of overall activity,” the TRM Labs team said.
Polymarket data shows that the five highest-volume contracts as of Monday center on who the major US political parties will nominate for the 2028 presidential race and whether Israeli Prime Minister Benjamin Netanyahu will remain in office by year-end.
Addressing key challenges will decide if momentum continues
Prediction markets have faced increasing scrutiny over allegations of insider trading and potential violations of gambling laws.
In March, Kalshi and Polymarket announced plans to introduce trading guardrails, the same day US lawmakers unveiled a bipartisan bill to ban event contracts that resemble a “casino-style game.”
Related: Nevada judge temporarily blocks Kalshi from operating in the state
Going forward, TRM Labs said the continued growth of prediction markets will depend on how key challenges, such as market integrity and susceptibility to manipulation, are addressed.
“Looking ahead, prediction markets have the potential to evolve beyond speculative platforms into core infrastructure for real-time information aggregation and risk pricing,” TRM Labs said.
“As liquidity deepens and participation broadens, these markets could increasingly serve as forward-looking indicators for policy decisions, geopolitical developments, and macroeconomic trends—complementing, and in some cases competing with, traditional forecasting tools.”
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The Senate Banking Committee is reportedly planning to hold its hearing on the nomination of Kevin Warsh as Federal Reserve chair as soon as the week of April 13, according to a report from Punchbowl News citing two sources familiar with the matter.
In a report on Sunday, Punchbowl’s sources said the hearing date is “fluid” and that the final deadline depends on Warsh submitting all of his paperwork to the banking committee.
Current Fed Chair Jerome Powell’s term is set to end on May 15, but he has previously said he will remain chair until his successor is officially confirmed. A nomination hearing in mid-April helps chart a more visible path to Warsh’s successful confirmation.
Warsh to push for change at Fed
Warsh’s first stint at the Fed was between 2006 and 2011, when he served on the Board of Governors after being nominated by former President George W. Bush.
This time, Warsh is set for the top role, and the 55-year-old has said he would push for “regime change” in how the Fed conducts its policy on interest rates and balance sheet management.
Related: David Sacks’ 130-day term as Trump’s crypto and AI czar has ended
“Their hesitancy to cut rates, I think, is actually … quite a mark against them,” Warsh told CNBC’s “Squawk Box” in July last year, adding:
“The specter of the miss they made on inflation, it has stuck with them. So one of the reasons why the president, I think, is right to be pushing the Fed publicly is we need regime change in the conduct of policy.”
However, Warsh’s nomination has faced political resistance. Senator Thom Tillis has vowed not to vote for any Fed nominees and will attempt to block the nomination until a Department of Justice (DOJ) probe into Powell is resolved.
In January, the DOJ opened an investigation into Powell over the expenses relating to a multi-year renovation project at Fed office buildings.
Trump’s pick for the Fed chair has also been met with pushback from Senator Elizabeth Warren, who sent a strong-worded letter to Warsh last Wednesday.
Senator Warren accused Warsh of having learned “nothing” from his “failures” during his previous stint at the Fed, which included the 2008 financial crisis and Great Recession.
Warren also said Warsh will ultimately serve as a “rubber stamp for President Trump’s Wall Street First Agenda.”
“Your eagerness to bail out Wall Street, including through taxpayer-assisted megamergers, was not surprising, given the seven years you spent as a Morgan Stanley mergers and acquisitions executive prior to joining the George W. Bush administration,” Warren said.
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OKX’s X Layer is the 21st blockchain to integrate Aave, which recently surpassed the $1 trillion mark in cumulative lending volume.
Aave, the largest decentralized lending protocol with $23.5 billion in total value locked, has launched on X Layer, an Ethereum layer-2 blockchain launched by crypto trading platform OKX.
It marks a significant milestone for X Layer, a blockchain with just $25 million in total value locked, which launched in 2024. The integration would allow OKX Wallet and X Layer users to lend, borrow and earn yield without needing to bridge out to another chain.
“This is a very versatile expansion of our DeFi ecosystem and as such should benefit the full range of customers we have on X Layer,” an OKX spokesperson told Cointelegraph.
X Layer launched in May 2024 in a highly crowded Ethereum-layer-2 market. Like many of its competitors, X Layer is focused on scalability, offering $0.0005 transactions on average at one-second block times.
Other notable DeFi platforms integrated on X Layer include Uniswap for decentralized swaps, Chainlink for oracle services and Stargate for cross-chain money transfers.
Aave recently crossed a historic milestone
The integration comes as Aave surpassed the $1 trillion mark in cumulative lending volume in late February, marking an industry first.
Aave secures $23.5 billion in total value locked, enabling users to earn interest on deposits and borrow instantly using crypto as collateral.
Aave is integrated on more than 20 chains, including Ethereum, Arbitrum and Base, and has over $40.4 billion worth of net deposits on the platform compared to Morpho’s $10 billion.
Related: Aave DAO backs V4 mainnet plan in near-unanimous vote
The $23.5 billion figure is more than three times Aave’s closest competitor, Morpho, in the DeFi lending market.
Aave has also taken in over $6.2 million in revenue over the last 30 days, more than five times that of second-place Morpho.
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