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How decentralized AI is leveling the playing field

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How decentralized AI is leveling the playing field

As AI infrastructure investments surge toward $300B in 2025 alone, fueled by mega-projects like the $500B Stargate initiative and hundreds of billions in Nvidia chip purchases, the decentralized AI space offers a compelling alternative to Big Tech’s centralized dominance. Now’s the time to invest in it.

In the rapidly evolving landscape of artificial intelligence, a seismic shift is underway, one that promises to redefine how we build, deploy and interact with AI. While centralized AI, dominated by tech giants like Amazon, Microsoft and Google, has driven remarkable progress, the recent shift toward agentic AI creates a unique opportunity for decentralized AI. It’s why the sector is poised to become the most exciting and critical space over the next few years.

With a global AI market projected to grow at a 35.9% CAGR through 2030, the stark valuation gap—$12 trillion for centralized AI enterprises versus ~$12 billion for decentralized AI—signals an unprecedented investment opportunity. Bridging this gap will not only yield massive financial returns but also reshape the ethical, technical and societal foundations of AI. Here’s why decentralized AI, powered by open-source principles and blockchain technology, is the future.

The valuation gap: a $15 trillion opportunity


Centralized AI, controlled by a handful of tech behemoths, commands a staggering $12 trillion~ in enterprise value, fueled by their dominance of nearly 70% of global cloud infrastructure. Yet, this concentration of power comes at a cost: stifled competition, ethical lapses, a loss of agency and control for both individual and corporate users and a one-size-fits-all approach that often stifles innovation.

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Meanwhile, decentralized AI, valued at just $12 billion, is a nascent yet rapidly growing ecosystem. The blockchain AI market alone is projected to skyrocket from $6 billion in 2024 to $50 billion by 2030, reflecting a staggering 42.4% CAGR, and I don’t believe these figures will come close to the actual outcome, as the real numbers are likely to be much higher. This disparity isn’t a sign of weakness but a clarion call for investors. The next two to three years will see decentralized AI platforms—think Bittensor, Artificial Superintelligence Alliance,The Manifest Network, Venice.Ai or Morpheus—close this gap by democratizing access, fostering innovation and addressing the critical flaws of centralized systems.

And as the agentic AI age approaches, conjuring visions of hundreds of billions of independent AI agents executing instructions and transacting on behalf of individuals and companies, the case for decentralized AI becomes all the more urgent.

How can these agents be truly autonomous in a centralized model? How can we know –and prove– that they are living up to the legal definition of an “agent?” In other words, it’s a fiduciary with 100% responsibility to its owner, not to a third party (such as the platform on which it is hosted). The explosion of innovation this hyper-competitive, hyper-collaborative “Internet of AI agents” points to will only be possible if those agents are given the privacy and control they need to truly act independently. There is no “free market of ideas” without the actors in that market having their own free will. Over the past quarter, the explosion of localized AI agent frameworks built on open architectures, such as OpenClaw, has demonstrated how quickly sovereign AI can move when unshackled from centralized cloud control. By moving AI from corporate servers to local, peer-to-peer networks, users are shifting from “renting” intelligence to owning their own fully autonomous stacks. This structural re-architecture bypasses Big Tech gatekeepers, sparking a wave of innovation and privacy that centralized platforms can no longer control.

Privacy: empowering individuals over corporations

Centralized AI thrives on vast data lakes, often harvested with little regard for individual privacy. Big Tech’s history of squashing competition and skirting ethical boundaries, whether through monopolistic practices or opaque data usage, has eroded trust. Decentralized AI, by contrast, leverages blockchain’s cryptographic security to prioritize individual privacy. Users control their data, sharing it selectively via secure, transparent protocols. Platforms like Akash Network ensure that personal data remains encrypted and decentralized, preventing the kind of mass exploitation seen in centralized systems. This privacy-first approach isn’t just ethical; it’s a market differentiator in an era where 83% of enterprises are shifting workloads to private clouds to escape public cloud vulnerabilities.

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But it’s not only individuals who are disadvantaged by the current centralized model. Businesses, institutions and entire industries have been forced to keep their most valuable datasets locked away. Sometimes for competitive reasons, sometimes because of fiduciary, custodial, or regulatory obligations, making sharing with centralized LLMs flatly impossible. The risk of inadvertently uploading trade secrets, proprietary R&D, sensitive customer records or regulated data into the black box of a hyperscaler has been a hard stop for meaningful enterprise-scale AI adoption.

But the deeper significance of this shift goes beyond unlocking long-dormant corporate data vaults; it redefines what enterprise trust in AI actually looks like. This is core to the mission of organizations like the Advanced AI Society, which argues that we are entering an era where enterprise customers will not merely prefer privacy-preserving infrastructure; they will demand something far stronger: proof of control. Not marketing promises, not compliance checklists, but cryptographic, verifiable assurance that the business, and only the business, controls its data, compute pathways, storage substrates, proprietary model weights and fine-tuned derivatives. In a world where AI touches regulated workflows, intellectual property and customer-sensitive operations, enterprises will insist on provable guarantees that nothing escapes their perimeter, and nothing can be silently copied, scraped or siphoned by a third party. Decentralized AI is the first architecture capable of delivering this new trust standard. It shifts the question from “Do we trust our vendor?” to “Can we verify our sovereignty?” and that inversion is the fault line upon which the next decade of enterprise AI adoption will hinge.

This is where decentralized AI and confidential computation transform the playing field. For the first time, companies can safely apply their private datasets to local or domain-specific model training without surrendering custody or visibility. Whether through encrypted compute, zero-knowledge architectures, or decentralized execution layers, the data never leaves their control. What was once an unbridgeable chasm of AI potential on one side and locked corporate data on the other can now finally be crossed.

And that unlock is enormous. Non-internet-platform companies represent the vast majority of the world’s valuable information: pharmaceutical research vaults, medical imaging archives, energy exploration data, financial pattern histories, supply chain telemetry, manufacturing QA logs and more. These troves have been sealed off from AI’s learning loops due to the inherent danger of centralized training. Decentralized, privacy-preserving AI flips that equation, turning previously inaccessible datasets into catalytic assets.

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If AI is truly going to cure cancer, solve energy scarcity, overhaul logistics, accelerate drug discovery or reinvent scientific research, it cannot rely solely on whatever scraps of information Big Tech has scraped from the public internet. The great breakthroughs will come when the off-internet world—the real, industrial, scientific and institutional world—can safely contribute its data to AI models without risking exposure, theft or exploitation.

Decentralized AI is the architecture that makes that future possible. It doesn’t just empower individuals against corporations; it empowers every enterprise that has been forced to sit on the sidelines. And when those data vaults finally open on their own terms and under their own control, that will be the great unlock that propels AI from impressive novelty to civilization-scale engine.

Compute capacity: harnessing the world’s spare resources

Centralized AI’s Achilles’ heel is its insatiable demand for compute power, requiring dozens of gigawatts to train and run models like GPT-4 or Llama. Data centers strain global energy grids, raising environmental concerns and increasing consumer costs.

Decentralized AI flips this paradigm by tapping into spare compute capacity such as idle GPUs in homes, offices or even smartphones. Platforms like Targon (Bittensor Subnet 4), focused on making AI inference faster and cheaper, aggregate distributed resources to deliver scalable solutions. OAK Research highlights that Targon’s benchmarks reportedly outperform Web2 solutions in certain tasks, offering lower-cost inference with acceptable quality—a game-changer for commodification, scaling and downstream integrations. By efficiently using existing energy sources, decentralized AI aligns with a sustainable future while democratizing access to cutting-edge technology.

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Blockchain as the backbone of trust and innovation

AI is moving to blockchains, and for good reason. Blockchain solves critical pain points that centralized systems sidestep or exacerbate:

  • Training validation: Decentralized networks like Bittensor use consensus mechanisms (e.g., Yuma Consensus) to validate AI model outputs, ensuring quality without centralized gatekeepers.
  • Copyright compliance: Blockchain’s immutable ledger tracks data and model provenance, addressing intellectual property disputes—a growing concern in AI.
  • AI guardrails: Decentralized governance creates transparent, community-driven rules to prevent misuse.
  • Value transactions: Tokens like those on Akash enable fair reward distribution for contributors, from miners to validators.
  • Data security and privacy: Distributed storage and encryption protect sensitive data, unlike centralized clouds prone to breaches. These features empower a collaborative ecosystem where developers, users and enterprises co-create value, unhindered by Big Tech’s competitive stranglehold.

Open source: the catalyst for exponential growth

Decentralized AI thrives on open-source principles, fostering innovation at a pace centralized systems can’t match. Open-source models, like those on Bittensor for specialized tasks, invite global contributions and enable rapid iteration on use cases ranging from video analysis to predictive markets. Centralized AI, by contrast, locks models behind proprietary walls, limiting adaptability and accessibility. Open-source decentralized platforms not only accelerate innovation but also align with the growing demand for transparency in AI development—a demand Big Tech often ignores.

The investment case: why now?

The $12 trillion centralized AI market is a mature Goliath, but its growth is constrained by ethical scandals, energy demands and diminishing returns. Decentralized AI, though smaller, is a nimble $12B David, poised for exponential growth. Its ability to address privacy, leverage distributed computing and foster open innovation makes it a superior long-term bet. Investors who back platforms like Bittensor, Storj, or Akash now, while valuations are low, may stand to reap outsized returns as the blockchain AI market scales to $200 billion by 2030. The shift is already underway: enterprises are moving to private clouds, and communities are embracing decentralized governance.

The future is decentralized

Decentralized AI isn’t just a technological evolution; it’s a societal necessity. It counters Big Tech’s monopolistic grip, protects user privacy and harnesses global resources for sustainable growth. As platforms like Bittensor and Akash pioneer scalable compute markets, they pave the way for a world where AI serves the many, not the few. The delta in the valuation gap will close. Not because centralized AI will falter, but because decentralized AI’s potential is too vast to ignore. For investors, developers and visionaries, this is the most exciting space to watch, build and invest in over the next three years. The revolution is here, and it’s decentralized.

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Ethena Strikes Lending Deals With Anchorage and Maple amid USDe Reserve Overhaul

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ENA Chart

The synthetic dollar protocol is moving beyond its crypto basis trade roots into institutional lending, real-world credit, and equity and commodity perpetuals.

Ethena Labs is finalizing its first direct lending agreements with Anchorage Digital, Maple Institutional, and Coinbase Asset Management as part of a sweeping plan to diversify the assets backing its USDe synthetic dollar.

Under the agreements, Ethena would lend stablecoins from USDe’s reserves to facilitate overcollateralized loans originated by those entities, with borrower collateral held in secured triparty custody. Each loan will operate within parameters set by the Ethena Risk Committee, including minimum overcollateralization ratios, concentration limits, automatic liquidation thresholds, and tenors designed to minimize liquidity risk during large USDe redemption events.

Ethena framed the move as a natural extension of the stablecoin lending it already does on DeFi protocols like Aave and Morpho, but for institutional counterparties with only high-quality, immediately liquid collateral such as BTC and ETH.

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Beyond the Basis Trade

The institutional lending push is one piece of a broader four-part diversification strategy Ethena outlined Monday, which also includes expanding real-world asset (RWA) exposure beyond tokenized Treasury bills, extending its delta-neutral framework into equity and commodity perpetuals, and exploring prime lending to trading firms.

The shift reflects how far USDe’s reserve composition has already moved. Perpetual futures positions, once the mainstay of USDe’s backing, now make up just 11% of the stablecoin’s reserves, with the rest allocated to stablecoin reserves and DeFi lending positions. Ethena recently proposed replacing its static 7-day unstaking cooldown with a dynamic model, arguing the fixed period no longer reflects the liquidity available to meet redemptions.

USDe’s circulating supply has contracted to approximately $5.9 billion from a peak above $14.6 billion before the October 10 crash that wiped more than $5 billion from its market cap.

Meanwhile, the protocol’s ENA token is up 9% over the past 24 hours, but has dropped 94% from its peak two years ago.

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ENA Chart
ENA Chart

Equity and Commodity Perps

Perhaps the most novel element is Ethena’s plan to apply its basis trade methodology to equity and commodity perpetual futures — a market that has grown rapidly since Hyperliquid launched its HIP-3 framework in October 2025.

TradeXYZ Open Interest chart
TradeXYZ Open Interest

HIP-3 open interest has surged from $70 million at launch to over $2 billion, driven by non-crypto pairs such as equities, commodities, and indices. Ethena noted that gold perpetual funding rates on Binance averaged 24.6% in March, presenting a clear basis opportunity for delta-neutral operators.

On the RWA side, Ethena said initial allocations will likely be limited to AAA-rated CLOs, which have no history of defaults, with potential expansion into investment-grade corporate bond funds and short-duration credit products.

This article was written with the assistance of AI workflows. All our stories are curated, edited and fact-checked by a human.

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IMF Warns Tariffs Fall Short as Global Trade Gaps Widen

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The International Monetary Fund says tariffs don’t meaningfully fix trade gaps. Their impact is small and inconsistent.

At the same time, global current account imbalances are widening again. That points to rising economic strain between countries. For crypto, this matters. When trade tensions rise and policy tools fall short, capital often moves toward alternative assets like Bitcoin.

The IMF’s Key Findings

In a new policy paper, IMF researchers Pierre-Olivier Gourinchas and Christian Mumssen analyze the drivers of global imbalances.

Their conclusion is clear: traditional macroeconomic policies remain the dominant lever for addressing current account imbalances. Tariffs and industrial policies, by contrast, yield limited, and often counterproductive, results.

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According to the IMF, tariffs only improve current accounts in rare circumstances, specifically when they are temporary. However, most tariffs are perceived as permanent or trigger retaliation.

As a result, people do not adjust their saving behavior, and the current account remains largely unchanged.

The paper warns that widening imbalances “have often preceded financial crises or abrupt reversals of capital flows.”

Fun Fact: The IMF notes that an escalation of tariffs does little to change current account positions but significantly lowers output across all regions. Everybody loses!

IMF, Source: X

Why This Matters for Crypto

The IMF’s analysis paints a picture of structural instability. Consequently, several crypto-relevant dynamics emerge:

  • Dollar Pressure: The US is running large fiscal deficits with large consumer spending. A weakening fiscal position could put long-term pressure on dollar confidence, potentially benefiting alternative stores of value like Bitcoin.
  • Stablecoin Demand: As global trade tensions persist and underlying imbalances persist, businesses may increasingly turn to stablecoins for cross-border transactions. USD-pegged stablecoins offer dollar exposure without a direct dependency on the banking system.
  • Safe Haven Narrative: The IMF explicitly warns of potential financial crises. Historically, such warnings have preceded periods where investors seek uncorrelated assets.

Outlook

The IMF calls for “synchronized adjustment,” where countries move together. However, such coordination has proven elusive. In the absence of coordinated action, market participants will seek their own solutions.

The IMF’s warning is clear: global imbalances are widening, tariffs won’t fix them, and disorderly adjustment could be “exceptionally costly.”

For crypto markets, this macro backdrop creates both risks and opportunities. The structural case for crypto as an alternative financial layer grows stronger as traditional policy tools fail to deliver.

The post IMF Warns Tariffs Fall Short as Global Trade Gaps Widen appeared first on BeInCrypto.

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Wall Street edges higher as Tesla lags, AMC and MicroStrategy jump

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Why is the crypto market recovering today? (March 30)

U.S. stocks inched higher on Monday, but beneath the smooth index closes, meme names, bitcoin proxies and Chinese ADRs traded like a late‑cycle minefield.

Summary

  • U.S. stocks closed modestly higher Monday, with the Dow up 0.36%, the S&P 500 up 0.45%, and the Nasdaq up 0.5%.
  • Tesla fell 2%, while AMC Entertainment surged 12% and MicroStrategy gained 6%, highlighting sharp divergences in high‑beta names.
  • Chinese ADRs underperformed, with the Nasdaq Golden Dragon China Index down 0.2% and iQIYI off 4%.

U.S. equities finished Monday’s session slightly higher, with the Dow Jones Industrial Average rising 0.36%, the S&P 500 index adding 0.45%, and the Nasdaq Composite gaining 0.5%, according to Gate’s market data. The advance came even as individual names swung widely: AMC Entertainment jumped 12%, MicroStrategy climbed 6%, Advanced Micro Devices dropped 5%, and Tesla slipped 2%. Chinese‑focused stocks lagged, with the Nasdaq Golden Dragon China Index closing down 0.2% and iQIYI losing 4%.

Beneath the relatively calm headline moves, Monday’s tape showed classic late‑cycle dispersion, with meme‑linked and crypto‑sensitive names moving far more violently than the benchmarks. AMC’s 12% gain extended a recent rebound fueled by retail flows and short‑covering, while MicroStrategy’s 6% rise tracked ongoing strength in Bitcoin‑exposed equities after the software firm’s aggressive BTC accumulation left it trading as a leveraged proxy on the crypto market. By contrast, AMD’s 5% decline and Tesla’s 2% drop reflected pressure across high‑multiple growth and EV names, as investors rotated selectively within the tech and consumer‑discretionary complex.

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The modest uptick in the S&P 500 and Nasdaq follows a strong 2025 in which the major U.S. indices posted double‑digit gains, according to recent data compiled by Reuters and LSEG. Analysts quoted in prior sessions have emphasized that with the S&P 500 already up more than 16% last year and the Nasdaq ahead over 20%, even small daily moves can mask significant stock‑level volatility as investors reassess earnings, rates, and geopolitical risks. Against that backdrop, Monday’s pattern — indexes up less than 0.5% while individual names swing 5%–12% — fits a market where stock‑picking and thematic positioning matter more than simple beta exposure.

Chinese internet and consumer names remained under pressure. The Nasdaq Golden Dragon China Index, which tracks U.S.‑listed Chinese ADRs, slipped 0.2% on the day, with iQIYI down about 4% alongside broader weakness in popular Chinese concept stocks. Recent sessions have seen sharper drops in the index — including declines of more than 2% on days when names like Alibaba, NIO, and XPeng fell between 3% and 6% — underscoring persistent skepticism over China’s growth outlook, regulatory risk, and U.S.‑China tensions.

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Trump’s WLFI Lands Exclusive Deal: USD1 on Aster DEX

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World Liberty Financial and Aster DEX have announced a partnership. According to WLFI, USD1 will serve as the settlement asset for TradFi perpetual contracts on the platform.

Gold, silver, crude oil, and additional markets are planned.

Aster DEX confirmed the collaboration on X: “Aster and WLFI are working together to support closer ecosystem alignment, with both sides exploring integration across their respective tokens.”

Both teams indicated they are exploring deeper integration across their respective token ecosystems, suggesting the partnership could expand beyond settlement.

Fun Fact: USD1 has surpassed $4.6 billion in market cap and ranks fifth among stablecoin issuers by daily active addresses, ahead of PayPal and Ethena!

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WLFI, Source: X

What USD1 Integration Means for Traders

Aster DEX offers perpetual contracts that allow traders to gain exposure to traditional assets through a DeFi interface. Adding USD1 as a settlement option expands the stablecoin’s utility beyond simple transfers.

For USD1, the integration creates a new use case: traders holding USD1 can use it directly for trading commodities perpetuals without converting to other stablecoins first.

Similarly, for WLFI, more USD1 utility translates to more ecosystem activity. As a result, each new integration adds another reason for users to hold and use the stablecoin.

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USD1’s Expanding Footprint

The Aster DEX partnership is the latest in a series of USD1 integrations. Recent developments include:

  • BitGo Mint added USD1 to its institutional stablecoin management platform.
  • MEXC integrated USD1 across Launchpool, Savings, and as futures collateral.
  • World Liberty Markets launched as a DeFi lending platform with USD1 as the primary asset.

USD1’s circulating supply has surpassed $4.6 billion, distributed across Ethereum (40.60%), BNB Chain (40.47%), and Solana (18.48%).

The partnership between WLFI and Aster DEX reflects a broader trend of stablecoins seeking differentiated use cases. Instead of competing solely on listings, USD1 is building integrations that create specific utility.

However, details on the full scope of the integration and timeline for the TradFi perpetual markets have not yet been disclosed. Nevertheless, both teams indicated further announcements are expected as the partnership develops.

The post Trump’s WLFI Lands Exclusive Deal: USD1 on Aster DEX appeared first on BeInCrypto.

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Blockchain and Stablecoins Bring New Competition to Banks

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Crypto Breaking News

Jamie Dimon, the CEO of JPMorgan Chase, used the bank’s annual shareholder letter to underscore how rapid technological advances are reshaping competition in finance. He highlighted artificial intelligence, data analytics and other advanced tools as central to the industry’s near- and long-term trajectory, signaling a shift toward more automated and data-driven financial services.

While blockchain and digital assets were not the letter’s sole focus, Dimon acknowledged that “a whole new set of competitors is emerging based on blockchain, which includes stablecoins, smart contracts and other forms of tokenization.” The remarks come as JPMorgan doubles down on its own blockchain initiatives, even as Dimon stresses that the bank’s long-term prosperity hinges on effectively deploying AI across its operations.

JPMorgan has been building out its in-house infrastructure, now branded Kinexys, a platform designed to enable near-instant fund transfers without traditional middlemen. The effort aims to scale to as much as $10 billion in daily transaction volume and has drawn notable corporate participants into its orbit. The bank has onboarded Mitsubishi Corporation of Japan and counts Qatar National Bank, Siemens, and BlackRock among its institutional clients. Beyond payments, Kinexys is being positioned as a broader tokenization platform, with JPMorgan signaling plans to extend into asset classes such as private credit and real estate.

Dimon’s notes arrive amid a larger policy debate in Washington over how digital assets should be regulated, particularly around stablecoins. The GENIUS Act, enacted last year, established a regulatory framework that many in the crypto industry expect will accelerate adoption by clarifying the rules for stablecoins and related activities. Yet broader market-structure legislation remains stalled in Congress. A key point of contention is yield-bearing stablecoins—banking groups warn that issuers offering interest-style returns could undermine financial stability if they operate outside traditional banking guardrails.

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Key takeaways

  • Tech-driven competition rising: Dimon frames AI, data and blockchain-enabled firms as a new frontier, even as JPMorgan emphasizes its own tech initiatives.
  • Kinexys advances its agenda: JPMorgan’s blockchain platform targets up to $10B in daily volume and has attracted marquee clients, with tokenization at the core of its expansion plans.
  • Regulatory clarity vs. stalled legislation: GENIUS Act provides a clearer framework for stablecoins, but wider market-structure bills remain uncertain in Congress.
  • Industry tensions surface publicly: Dimon and Coinbase CEO Brian Armstrong have publicly debated crypto regulation, while banks advocate against yield-bearing stablecoins.
  • Market context matters for adoption: The stablecoin market topped roughly $315B in Q1, a data point that regulators and market participants watch closely.

Kinexys as a real-world accelerator for tokenization

JPMorgan’s Kinexys protocol is being pitched as more than just a faster rails solution for transfers. By embedding near-instant settlement capabilities into corporate and institutional processes, JPMorgan envisions Kinexys as a gateway to broader asset tokenization. The onboarding of Mitsubishi Corporation in particular signals a strategic effort to attract multinational clients with complex cross-border needs, where speed and reliability translate into tangible capital efficiency gains.

Beyond Mitsubishi, Kinexys counts Qatar National Bank and other large institutions such as Siemens and BlackRock among its users. The breadth of these clients points to a practical use case: tokenized payments and settlements can trim intermediaries, reduce settlement risk and improve liquidity management across global networks. In JPMorgan’s framing, Kinexys is a stepping stone toward a larger tokenization ecosystem—one that could eventually encompass private markets such as private equity, real estate and other asset classes that traditionally require longer settlement cycles.

As JPMorgan positions Kinexys as both a payments platform and a broader tokenization layer, investors should watch for how quickly new assets—beyond cash equivalents—can be tokenized and traded within the network. The pace at which more clients sign on and the types of asset classes brought under Kinexys’ umbrella will be a telling indicator of JPMorgan’s broader hypothesis: that tokenization can unlock liquidity and improve capital efficiency at scale.

Regulatory currents shaping the crypto horizon

The JPMorgan letter arrives at a moment when policy makers are weighing a path forward for stablecoins and crypto markets. The GENIUS Act, which laid groundwork for stablecoin regulation and custody rules, is widely viewed as a factor that could hasten institutional participation in tokenized assets, provided issuers operate under clear compliance standards. By offering a regulatory scaffold, proponents argue that GENIUS reduces legal ambiguity for banks and fintechs exploring stablecoin-related services.

However, comprehensive market-structure reform remains stuck in Congress. Lawmakers are debating a range of issues—from how stablecoins should be treated within the broader financial system to who bears responsibility for liquidity and resilience during stress events. A point of friction is whether yield-bearing stablecoins should be permitted under the same framework as traditional bank deposits or whether separate regimes are warranted to prevent regulatory arbitrage.

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Industry dynamics reflect these policy tensions. Dimon and Coinbase CEO Brian Armstrong have publicly traded criticisms over the direction of crypto regulation, underscoring divergent views on how to balance innovation with safety. Banking groups, including the American Bankers Association, have prioritized a push against yield-bearing stablecoins and have pressed for clarity and adherence to robust guardrails. The policy debate will likely influence how quickly institutions feel comfortable engaging in tokenized ecosystems and whether regulated banks will collaborate with on-chain infrastructure providers like Kinexys.

From a market perspective, the size and growth of the stablecoin sector remain central to the regulatory calculus. Data from industry trackers show the stablecoin market reaching into the hundreds of billions, with quarterly measurements illustrating continued expansion. Such momentum helps explain why lawmakers view stability and transparency as prerequisites for broader mainstream adoption, even as commentators remain wary of new forms of credit-like yield in non-bank structures.

What to watch next for JPMorgan and the broader ecosystem

As JPMorgan delegates its capital toward AI and data-driven processes while steering Kinexys toward broader tokenization, the coming quarters will reveal how aggressively the bank pursues asset tokenization beyond cash settlements. The pace of client onboarding, the breadth of asset classes brought under Kinexys, and the platform’s performance at scale will be critical indicators of the strategy’s viability.

On the regulatory front, observers will be listening for any concrete progress on market-structure legislation and for further clarity on stablecoin regulation. If lawmakers advance a clear, stability-focused framework, the adoption curve for tokenized assets and related financial products could accelerate across traditional institutions and fintechs alike. Conversely, continued stalemate or restrictive provisions could incentivize firms to pursue more private, permissioned models or to rely on bespoke bilateral arrangements, potentially slowing broad-market participation.

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Beyond JPMorgan, the broader market will keep a close eye on how other banks, asset managers and technology firms calibrate their tokenization ambitions. Kinexys could become a reference case for how a major financial institution balances internal AI-driven efficiency with the external opportunities of asset tokenization, a dynamic that almost certainly will influence how investors assess risk, liquidity and regulatory exposure in fiat-to-token and token-to-token workflows.

In the near term, investors and industry watchers should watch for additional client announcements from Kinexys and any concrete expansions into new asset classes. They should also pay attention to regulatory signals—whether Congress pushes forward with comprehensive market-structure bills or if separate proposals gain traction—that could either lower or raise the barriers to institutional participation in tokenized ecosystems. For now, JPMorgan’s path suggests a dual bet: keep strengthening core AI-enabled operations while pursuing a tokenization play that could redefine liquidity and settlement for institutional finance.

The ongoing dialogue between technology, finance and policy will shape the next phase of crypto adoption. As Dimon and his peers navigate this evolving terrain, the question remains: how swiftly will tokenization scale from pilot programs to widely used financial infrastructure, and what will be the precise mix of regulation and innovation that enables it?

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Chaos Labs Terminates Aave Engagement Citing Risk Misalignment and Inadequate Funding

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Chaos Labs Terminates Aave Engagement Citing Risk Misalignment and Inadequate Funding

The risk management provider exits after three years, marking the third departure of a core contributor in two months.

Chaos Labs, the risk management firm that has “priced every loan on Aave since November 2022,” announced Monday that it is proactively terminating its engagement with DeFi’s largest lending protocol, citing a fundamental disagreement over how risk should be managed.

The departure makes Chaos the third core contributor to exit Aave’s operations in recent months, following BGD Labs’ exit on April 1 and the Aave-Chan Initiative’s wind-down announcement in early March.

In a forum post, Chaos Labs CEO Omer Goldberg named all three alongside TokenLogic as the contributor group whose “people, technology, and operational experience” produced Aave’s track record, and noted that Chaos is now the last remaining technical contributor from that cohort.

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Budget Gap

Goldberg pointed to three factors behind the decision: the departure of other core contributors, which increased the operational burden; the expanded scope and legal liability introduced by Aave V4’s new architecture; and the fact that the firm has operated its Aave engagement at a loss for three years.

Aave Labs offered to raise the budget to $5 million to retain Chaos, but the firm estimated that a minimum of $8 million was necessary to cover V3, V4, and its institutional go-to-market work. Goldberg framed the figure as still below the 6-10% that traditional banks allocate to compliance and risk infrastructure.

“Budgets don’t reshape the threat landscape. The cost is the cost,” Goldberg wrote.

Aave founder Stani Kulechov responded on X, thanking Chaos for its contributions but pushing back on several elements of the firm’s account.

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Kulechov said that in recent weeks, Chaos had been “exploring winding down its risk consultancy services business” and had already begun winding down agreements with other protocols. He said Aave Labs was “generally supportive” of doubling Chaos’ budget to $5 million but was not willing to approve $8 million without a separate addendum tied to demonstrated workload.

More pointedly, Kulechov said the disagreement extended beyond compensation. He said Aave Labs did not support other elements of Chaos’ proposal, including making Chaos the sole risk manager, replacing Chainlink with Chaos Labs’ own price oracles on all new deployments, and adopting Chaos Labs’ vaults — which he said are not yet audited — as the default for all B2B integrations.

“While we do not see issues with these Chaos products or their future viability, we strongly believe that, given the scale of the Aave protocol, it should maintain at least a two-layer risk management model and vendor lock-in free vaults,” Kulechov wrote.

He also disputed the characterization of V4’s risk implications, saying Aave Labs held multiple risk calls with Chaos employees before V4 went live, and that the feedback received during those sessions “does not align with the concerns expressed in their post.”

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Deeper Misalignment

Beyond economics, Goldberg described a fundamental disagreement over how risk should be prioritized as Aave transitions to V4 — a protocol he characterized as entirely new, with a different smart contract codebase, system architecture, and liquidation logic that shares only a name with V3.

The firm argued that its purpose-built Risk Oracle infrastructure, which streams hundreds of parameter updates monthly across Aave’s markets, cannot simply be ported to a new architecture. When the architecture is rewritten from scratch, Goldberg said, the risk infrastructure must follow, requiring significant new investment in tooling, simulations, and operational capacity.

Chaos also raised concerns about legal exposure, noting there is no regulatory framework or safe harbor for DeFi risk managers and that liability remains undefined if something goes wrong.

Knowledge Drain

In a section titled “The Ship of Theseus,” Goldberg warned that the accumulated knowledge base behind Aave’s operation is being hollowed out.

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“Core contributors who built and operated V3 have departed. Most of the accumulated operating knowledge that kept Aave running through three years of live markets has left with them,” he wrote.

He noted that migrating from V3 to V4 doesn’t halve the workload but doubles it, since both systems must be operated simultaneously during a transition that could take months or years.

He also highlighted that during the tenure of its current contributors, Aave grew from $5.2B to more than $26B in TVL, processed over $2B in liquidations, and facilitated more than $2.5T in cumulative deposit volume — all with zero material bad debt.

Governance Crisis Deepens

The departure caps a tumultuous stretch for Aave governance.

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The dispute between the DAO and Aave Labs has been escalating since December, when a clash over fee distribution and tokenholder rights erupted on the governance forum.

That was followed by Aave Labs’ contentious “Aave Will Win” proposal requesting $51 million in development funding, which narrowly passed but exposed deep divisions among delegates.

Chaos Labs said it would follow up with a structured offboarding proposal to support continuity during the transition.

AAVE is trading near $96, up 5% in the past 24 hours amid a broader market rally, but down roughly 73% from its August 2025 high of $356.

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Polymarket Unveils Collateral Token to Replace Bridged USDC

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Polymarket Monthly Volume chart

Polymarket USD replaces bridged USDC as part of an exchange-wide upgrade.

Polymarket on Monday unveiled Polymarket USD, a proprietary collateral token backed 1:1 by USDC that will replace bridged USDC.e as the settlement asset across the on-chain prediction market.

The new token is the centerpiece of what Polymarket called its most significant infrastructure change to date — a full exchange upgrade spanning new smart contracts, a rebuilt central limit order book, and updated developer SDKs, all rolling out over the next two to three weeks.

For most users, the frontend will handle wrapping automatically with a one-time approval prompt, Polymarket said. Power users and API traders will need to wrap their USDC or USDC.e into the new token via a Collateral Onramp contract.

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Exchange Upgrade

Alongside the collateral migration, Polymarket is deploying CTF Exchange V2, an upgraded version of its core smart contract. The new contracts optimize trade matching, add support for EIP-1271 signatures, introduce builder codes for on-chain order attribution, and streamline fee collection and distribution, according to a developer breakdown shared alongside the announcement.

All existing order books will be cleared during a short maintenance window, with the exact date and time to be announced at least one week in advance.

Scaling for Growth

The overhaul arrives as Polymarket processes record volumes. The platform crossed $10 billion in monthly volume in March, its highest ever, according to Artemis. Weekly notional volume has consistently exceeded $1 billion through the first quarter.

Polymarket Monthly Volume chart
Polymarket Monthly Volume

The infrastructure push follows a series of milestones, including NYSE parent ICE’s $600 million follow-on investment and the launch of traditional asset markets via Pyth Network.

This article was written with the assistance of AI workflows. All our stories are curated, edited and fact-checked by a human.

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84% of Polymarket Traders Are Losing Money, New Research Finds

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84% of Polymarket Traders Are Losing Money, New Research Finds

On-chain researcher Andrey Sergeenkov found that only 2% of the 2.5 million wallets analyzed have ever made over $1,000.

84.1% of all Polymarket traders are in the red, according to new research published today, April 6, by independent on-chain analyst Andrey Sergeenkov.

The report looked at 2.5 million wallet addresses, analyzing data from on-chain transactions on Polygon, via Dune Analytics. Sergeenkov found that over the past year, only 2% of traders have ever made more than $1,000 in their entire history on the platform, and just 0.033% — or 840 addresses — have earned $100,000 trading on Polymarket.

Sergeenkov also took on the claim that traders can earn a living on Polymarket, analyzing the odds of consistently earning $5,000 per month — just below the average monthly salary in the U.S. — and found that those odds are less than 1% in any single month.

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Sustaining profits is even rarer. “Most traders show up, trade for a short period, and leave,” the report summarizes. The odds of earning $5,000 a month drop with each consecutive month, the research found. Among the 6,600 traders who earned an average profit above $5,000 per month, just 2.6% stayed active for more than a year.

A separate study from December 2025 analyzing 124 million trades on Polymarket found that 70% were unprofitable.

The findings land as Polymarket continues its mainstream commercial momentum, earlier this month becoming MLB’s exclusive prediction market partner, as The Defiant reported.

Polymarket is currently the largest on-chain prediction market platform, and the second-largest more broadly, with $9.8 billion in notional trading volume over the past 30 days, following Kalshi with $12.5 billion, per Token Terminal.

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Meanwhile, a new referral program as of this month is set to drive another wave of retail signups via influencers — a dynamic Sergeenkov warns could deepen the loss problem without better user education.

Prediction market volumes grew 130x from 2024 through 2025, and the sector has received increasing regulatory attention, especially in the United States. In recent months, the Trump administration’s CFTC has taken a clear stance in favor of federal oversight of prediction market platforms via the agency, recently launching a sweeping review of the sector.

Adding another layer to Polymarket’s ambitions, the platform has also just today unveiled Polymarket USD, a new proprietary stablecoin set to replace bridged USDC.e as the platform’s collateral token, as part of what the platform is calling a significant infrastructure upgrade.

As The Defiant has reported, Polymarket’s crowd-sourced odds are increasingly cited as among the most accurate forecasting tools available, a reputation that sits uneasily alongside these numbers for individual traders.

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BTC’s ‘stability’ is a mirage, says Bitfinex

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BTC's 'stability' is a mirage, says Bitfinex

Bitcoin’s muted price action is masking a buildup of downside risk in derivatives markets, where traders are increasingly positioning for a sharper move lower.

According to a recent Bitfinex report, the options market is showing a persistent gap between implied and realized volatility, with implied volatility holding in the 48% to 55% range while actual price swings remain subdued. This divergence suggests traders are paying a premium for protection, even as spot markets appear calm.

The more critical factor sits just below current levels. Analysts point to a “negative gamma environment” under $68,000, where market makers who have sold downside protection may be forced to sell bitcoin as prices fall in order to hedge their exposure.

That dynamic can turn a gradual decline into a sharper move. As prices drop, hedging activity adds further selling pressure, creating what the report describes as a “self-reinforcing feedback loop.”

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The setup leaves bitcoin vulnerable to an accelerated move toward the $60,000 level if support breaks. Even recent liquidations — over $247 million in long positions — may not have been enough to fully reset positioning.

Despite the lack of large price swings, the structure of the market points to low conviction. Traders are not aggressively directional, but they are unwilling to discount tail risk, a sign that the current range may not hold, the report states.

“Stability” is a mirage

Bitcoin’s sideways trading range between roughly $64,000 and $74,000 has created the appearance of stability, but underlying demand conditions tell a different story. The report describes the market as a “fragile equilibrium,” where weakening spot demand and reduced participation leave prices supported by a thinning base of buyers.

Corporate treasury activity, once a steady source of demand, has narrowed significantly. While firms like Strategy (MSTR) continue to accumulate, others have stepped back or even reduced exposure, including a notable sale by Marathon (MARA). This shift has left the market increasingly dependent on a small number of participants rather than broad-based accumulation.

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At the same time, a large concentration of supply sits above current prices, particularly around $74,000. Investors who bought at higher levels are now looking to exit on rallies, capping upside and reinforcing the range.

Together, these forces suggest bitcoin’s current calm is less a sign of strength than a temporary balance. With demand weakening and derivatives positioning turning more fragile, the market may be more exposed to a sudden break than price action alone implies.

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Charles Hoskinson Defends Cardano Midnight Bridge Plan

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR

  • Charles Hoskinson denied claims that Midnight’s bridge would permanently operate as a one-way channel.
  • He said the tokenomics paper outlines phased development that includes a future two-way bridge.
  • Bliss Pool stated that the document initially describes the bridge as one-way.
  • Community members raised concerns about liquidity moving from Cardano into Midnight.
  • Cardano DRep dori defended Midnight and described it as a partner chain focused on privacy.

Charles Hoskinson responded to renewed criticism over the Midnight bridge design and rejected claims that it harms Cardano. He addressed concerns raised by Stake Pool operator Bliss Pool on X and denied any plan to trap liquidity. Meanwhile, the debate resurfaced as Midnight secured a listing on the Australian exchange CoinSpot.

Midnight Bridge Design Sparks Debate

Hoskinson pushed back against claims that Midnight would permanently operate a one-way bridge. He said critics misread the tokenomics paper and misrepresented its phased bridge plan.

He stated that Midnight does not permanently block assets from returning to Cardano. He explained that the document outlines different stages, including a future two-way bridge.

Bliss Pool pointed to language in the tokenomics paper referencing a one-way bridge. The operator said it remains technically correct that the bridge begins as one-way.

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Community members argued that a one-way structure could lock assets inside Midnight. They warned that such a setup could shift liquidity away from Cardano.

Hoskinson rejected claims that he and the IOG team chose to harm Cardano. He said critics framed a temporary design feature as a permanent policy.

He said, “There is no intention to harm Cardano.” He also said critics twist facts to support their narrative.

Cardano Community Responds to Midnight Rollout

The debate intensified after Cardano DRep dori defended Midnight over the weekend. Dori said Midnight does not compete with Cardano but supports it.

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Dori described Midnight as a partner chain focused on privacy features. Dori said it fills a privacy gap in the blockchain sector.

He added that Hoskinson showed foresight by investing in privacy infrastructure early. He stated that other networks are only now moving toward similar solutions.

Community critics continued to question the bridge structure and liquidity flow. They stressed the need for transparency in project communication.

Hoskinson maintained that the tokenomics paper clearly explains the phased bridge model. He said the paper includes references to a later two-way bridge.

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He criticized efforts to portray the early one-way phase as a fixed outcome. He insisted that the design evolves.

Midnight gained further traction after CoinSpot listed the token for Australian users. The exchange confirmed that traders can access Midnight and use its privacy features.

The listing expands Midnight’s availability in the Australian market. CoinSpot users can now trade the token directly on the platform.

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