The post Stellar to Scale Blockchain Pilot in 17 Countries appeared first on Coindoo.

Key Takeaways

Following 16 months of research and field testing, the initiative is moving beyond project-based funding cycles to provide UNDP country offices with a reliable, scalable infrastructure for humanitarian aid.

Operational Footprint

The partnership’s expansion is built upon a comprehensive foundation of research and field-tested solutions across 17 countries, with specific operational deployment in the following areas:

• Live Pilot Programs: Haiti, Syria, Kenya, Guatemala, and The Gambia.
• Active Prototypes: Colombia and Papua New Guinea.
• Research & Strategic Consultation: 17 countries globally, forming the evidence base for the new “scaling playbook”.

Pilot Performance

The initial 16-month phase focused on field trials that provided measurable, real-world data. In Syria, the deployment of a “Cash-for-Work” stipend program demonstrated the cost-efficiency of on-chain transactions; by recording every payment on the public ledger, the UNDP successfully reduced distribution costs from approximately 10 percent of total funds, the standard rate under conventional banking methods, to just 2 percent.

Beyond cost-efficiency, the pilots proved the technical resilience of the Stellar network in volatile environments. In Haiti, the system was tested under extreme conditions of low connectivity. During a total cellular network failure, the pilot maintained a 100 percent success rate, ensuring that beneficiaries received and cashed out their payments instantly.

How This Helps People

By shifting to blockchain-based payments, the UNDP is fundamentally improving the “last mile” of aid delivery. Digital wallets expand access to financial services for unbanked populations who lack traditional bank accounts, while technologies like those tested in Haiti help keep aid accessible even when banking systems and cellular infrastructure fail during crises. Lower transaction costs, often by as much as 8%, allow a greater share of funding to reach beneficiaries instead of intermediaries. At the same time, recording transactions on a public blockchain creates a transparent, tamper-proof audit trail that strengthens donor confidence and helps ensure aid reaches its intended recipients efficiently.

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Strategic Maturity

The transition of this partnership signals a fundamental shift in how international development organizations view Distributed Ledger Technology (DLT). By integrating Stellar’s infrastructure into a “standing capability,” the UNDP is moving beyond isolated pilot programs toward embedding blockchain into long-term operational workflows. That shift also requires a framework that can scale globally while remaining flexible enough to meet local regulatory and operational needs.

• Compliance & Audit: By leveraging a public blockchain, the UNDP gains a transparent, tamper-proof record of every transaction, directly supporting the rigorous reporting requirements of international humanitarian donors.
• Risk Assessment: As the initiative expands, governance becomes the key challenge. The UNDP must ensure permanent deployment does not introduce new systemic risks while preserving the fast settlement benefits of the Stellar network.

The Analyst Perspective: Global Adoption Context

The partnership also reflects a broader shift in global digital asset adoption. As of 2026, approximately 559 million people worldwide use cryptocurrency, representing roughly 9.9% of the global internet population. In many emerging markets, adoption is increasingly driven by practical financial use cases rather than speculation.

Adoption continues to accelerate across emerging markets, particularly in Africa and Latin America, where digital assets are increasingly used for practical purposes such as remittances, protecting savings from inflation, and expanding access to financial services. Africa alone recorded 19.4% year-on-year growth in 2025. At the same time, with 78% of global crypto users accessing platforms through mobile devices, the UNDP’s emphasis on low-connectivity solutions reflects the reality that mobile infrastructure has become the primary gateway to digital financial services for millions of people..

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Source: https://coindoo.com/stellar-scale-blockchain-pilot-countries/

The post Inside One of the Boldest Ideas in Ethereum’s Lean Roadmap appeared first on Coindoo.

Ethereum’s Lean Ethereum roadmap is a broad vision spanning multiple years and touching almost every layer of the protocol, from consensus and cryptography to data availability and node economics. The core ambition is to make Ethereum radically simpler to run and verify, so that ordinary users can participate as full validators without specialized hardware, while pushing throughput high enough to serve global-scale demand. But its credibility rests on whether the individual pieces are actually buildable.

One of Vitalik Buterin’s concrete proposals, the “Extremely Lean Chain,” offers a look at how the abstract goals turn into real engineering, and it captures the whole philosophy in miniature: do far more with far less permanent data. The design leans on zero-knowledge proofs and short data-retention windows so that validators keep the network secure without storing its entire history, a shift that would redefine what it means to run an Ethereum node.

The Problem: Validator Bloat

The proposal targets the consensus layer, and specifically the amount of data Ethereum has to store about every validator. Today, the Beacon Chain keeps a full profile for each one: a 48-byte public key, 32-byte withdrawal credentials, a 1-byte effective balance, a 1-bit slashing flag, 32 bytes of epoch data across eight fields, and an 8-byte active balance. Multiply that by hundreds of thousands of validators, all of it held permanently on-chain, and it becomes one of the ceilings on how many validators Ethereum can realistically support.

Buterin’s design attacks that directly. Under the proposal, each validator’s stored state shrinks to just two fields: a 1-byte effective balance and a 5-byte public key index. Everything else that used to sit permanently on-chain gets verified through cryptographic proofs instead of being stored. That’s the core idea behind “lean”, replacing stored data with math.

The public key is a good example of how this actually works. Today, every validator’s full 48-byte key lives in Ethereum’s permanent consensus state. Under Buterin’s proposal, the key stays in the deposit tree, where it’s already recorded when a validator first joins, so there’s no need to store it a second time on-chain.

Instead, Ethereum keeps only a 5-byte index pointing to the key’s location in that tree. Because the deposit contract only has to maintain the tree’s right-side branch to append new deposits, validators can retrieve and prove their public key whenever it’s needed, without every node holding a permanent copy. Paired with STARK-based aggregation, this alone strips a substantial chunk of data out of the consensus layer.

The same trick extends to withdrawal credentials. Because they sit right next to the validator’s public key inside the deposit tree, Ethereum no longer needs to keep them in Beacon Chain state either, they’re already recorded where the key lives. That removes yet another field from permanent storage, compounding the savings rather than adding a separate system to manage.

The Mechanism: Prove, Don’t Store

The way it works is where the design gets interesting. Rather than the network continuously tracking every validator’s balance, each validator would generate a daily zero-knowledge STARK proof, a compact cryptographic statement showing how it participated over the previous period and what its new balance should be. The network simply verifies that proof and updates the validator’s effective balance for the following day.

The shift is bigger than it sounds, because it moves reward and penalty math off the Beacon Chain’s real-time processing entirely. Today, the network calculates those adjustments as part of its live state transition; under the proposal, each validator instead generates a daily ZK-STARK proof, using Merkle branches and attestation bitfields, that shows how many attestations it actually completed and derives its updated balance. That proof becomes the validator’s balance for the next day. There’s also a practical timing detail baked in to prevent congestion: each 24-hour period’s balances are calculated using only blocks from up to 12 hours earlier. That gives validators a half-day window to submit their proofs and spreads proof publication evenly across the network, rather than having everyone rush to prove at the same moment.

The elegant part is what happens when a validator doesn’t submit one. It isn’t slashed or removed from the network; it just can’t keep attesting until it provides the required proof. Honesty is enforced by the system’s design rather than by Ethereum having to permanently monitor everyone’s data, the responsibility shifts to the validator to prove it’s acting correctly, instead of the network storing everything needed to check.

The payoff shows up in how rarely the chain has to write anything at all. Today, Ethereum updates validator balances constantly. Under the proposal, those writes collapse to just two kinds: one when a slashing happens, and one per validator per day when its proof lands. And because a validator can always submit its proof late, catching up whenever it’s ready without being penalized, the “can’t attest until you prove” rule stays an accountability mechanism rather than a punishment. The result is a consensus layer that does dramatically less continuous work.

The Goal: Millions of Validators

All of this is in service of scale. The proposal is explicitly built to support far more validators than Ethereum runs today, potentially millions, without the storage burden exploding to match. Assuming 16-second epochs, each validator would generate proofs covering roughly 5,400 Merkle branches per day, a workload Buterin says can be produced in about an hour even on relatively weak hardware.

The rest of the numbers Buterin cites are meant to show this is computationally realistic, not just theoretical. At one million validators, the network would need roughly a 128 KB bitfield to track participation and about a 1 MB tree to hold effective balances, both modest by modern standards. He notes that laptops can already prove more than 500,000 hashes per second, well within range of the daily workload each validator faces.

Buterin is also upfront about the catch. A network with a million validators would generate more than 100 STARK proofs per slot, which means the proofs themselves would need to be aggregated before being submitted on-chain. That aggregation is an engineering challenge the design still has to solve, not one it has already cleared, a reminder that this is a proposal under discussion, not a finished system.

If we want to make the Lean Ethereum consensus chain aggressively more “lean”, and add strong validator privacy (ZK-unlink deposit from staking activity from withdrawal, and re-anonymize stakers every day), here is a path:https://t.co/Gdee7tE53R

— vitalik.eth (@VitalikButerin) July 6, 2026

The Bonus: Privacy Built In

The structure also delivers on one of Lean Ethereum’s stated priorities, privacy, almost as a side effect. Instead of carrying a permanent, trackable identity, each validator would generate a new public key every day, using ZK-STARKs to prove ownership without revealing the link between its past and current identities.

In practice, that means a validator effectively gets a brand-new identity every single day, and only the validator itself knows the daily keys belong to the same operator. It also means Ethereum stops maintaining a permanent validator registry altogether: instead of a long-term index tracking every participant over time, validators simply appear new each day, with no lasting on-chain thread linking them together. That’s a substantial architectural change, not just a privacy tweak.

The privacy extends to withdrawals, too. Today, a deposit publicly reveals its withdrawal credentials. Under the proposal, a deposit would instead store only a hash commitment, keeping the withdrawal address hidden until the moment ETH is actually withdrawn. And Buterin notes the design nearly delivers Single Secret Leader Election (SSLE) for free, a feature that hides which validator will propose a block until it actually produces one, improving censorship resistance and protection against targeted attacks.

According to Buterin, this gives validators strong anonymity while still letting Ethereum verify balances and enforce slashing events. That’s the meaningful shift: privacy stops being an optional feature layered on top and becomes a native property of how consensus itself works, which is exactly the design principle the broader roadmap is trying to establish.

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What It Means for Ethereum

On its own, a validator-accounting redesign sounds narrow. But it’s a useful window into what “leaner” actually means in practice, and it’s not vague talk of efficiency. It’s specific choices: replacing permanent stored data with on-demand proofs, enforcing honest behavior through cryptography instead of constant monitoring, and folding privacy into the base layer rather than bolting it on.

The payoff for the network, if it works, is meaningful. Supporting far more validators without a matching explosion in state directly serves decentralization, more independent participants can run nodes because the data burden on each one stays manageable. Lighter state also means faster syncing and lower hardware requirements, which lowers the barrier to running a validator and reduces the drift toward a handful of well-resourced operators. The privacy gains address a real, under-discussed vulnerability too: today’s permanent validator identities can be mapped and targeted, and daily re-anonymization plus hidden block proposers (through the near-free SSLE) make censorship and targeted attacks materially harder. Taken together, these are improvements to the parts of Ethereum that matter most for its long-term health, not just its raw throughput.

The risks are just as real, and worth stating. The whole design leans heavily on zero-knowledge proving being fast, cheap, and reliable at massive scale, and the aggregation problem Buterin flags, more than 100 proofs per slot at a million validators, is not yet solved. If proof generation or aggregation proves too slow or too costly in practice, the elegance on paper doesn’t translate. There’s also added complexity: shifting from stored data to daily proofs introduces new moving parts, new places for bugs, and new dependencies on cryptography that has to be flawless, since a flaw in a proof system is far harder to spot than a wrong number in a database. And the daily-proof model changes validator responsibilities, an operator whose proving setup fails simply stops attesting until it recovers, which is safer than being slashed but shifts more operational burden onto validators themselves.

Like the rest of Lean Ethereum, none of this is live, and the proposal will evolve through debate, auditing, and testing before anything reaches the network, if it does at all. That caution is the appropriate response to a change this deep: the upside is a more scalable, more private, more decentralized consensus layer, but the path there runs through hard cryptographic engineering that has to be proven safe before it can be trusted with billions in staked value. What the proposal shows, at minimum, is that the roadmap’s ambitions rest on real, detailed engineering rather than slogans, which is the strongest thing any early-stage proposal can offer.

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Source: https://coindoo.com/inside-boldest-ideas-in-ethereums-lean-roadmap/

The post Kraken Makes Tokenized Stocks Usable as Crypto Collateral appeared first on Coindoo.

The exchange now lets eligible users pledge their tokenized equities, its xStocks products, as collateral for leveraged crypto trading, turning what were passive investment tokens into assets that can unlock additional trading capital.

What Kraken Actually Changed

Until now, holding xStocks meant holding tokenized shares of companies like Apple, Nvidia, or Tesla, or ETFs such as the S&P 500, and little more. The tokens tracked the underlying equities, but they sat idle. Kraken’s update changes that. Eligible users can now pledge those tokenized shares as collateral to open futures or margin positions, without having to sell them first.

That’s a meaningful shift in what the product does. Instead of choosing between holding stock exposure and freeing up capital for crypto trades, a user can now do both at once, keeping the equity position while using its value to support crypto positions. The tokenized stock stops being a static holding and starts functioning the way collateral does across traditional financial markets.

The feature is available only to eligible clients outside the United States, with regional differences depending on the product. xStocks can be used as futures collateral in the EEA and other non-U.S. markets, while margin collateral is available only outside both the United States and the EEA.

Strategic Shift Toward RWA Integration

The change is another marker in the steady convergence of traditional finance and crypto. Previously, an investor who wanted to put stock-tied capital to work in leveraged crypto trading had to liquidate that exposure. Now the same tokenized equity can serve two purposes simultaneously, maintaining traditional-asset exposure while backing crypto positions.

The bigger picture is what it signals about real-world assets, or RWAs. By giving tokenized securities practical financial utility inside a crypto exchange, Kraken strengthens the investment case for the category. Rather than existing as isolated blockchain representations of stocks, tokenized equities become integrated into crypto market infrastructure, the kind of plumbing that tends to pull more products and more adoption in behind it.

It also improves capital efficiency, which is the quieter but arguably more important effect. Investors can deploy the value of holdings they already own without selling them, which can increase trading activity and liquidity across both tokenized assets and crypto derivatives. And it signals a change in how exchanges regard these instruments: increasingly as mature financial products rather than experimental ones.

Part of a Broader Tokenization Push

Over the past several months, the tokenization of real-world assets has become one of the most active fronts in crypto, with major, established players building it into their core infrastructure. BlackRock, the world’s largest asset manager, has continued deepening its push, filing in May 2026 for new tokenized fund products and expanding its BUIDL money market fund, which has grown to roughly $2.5 billion and is increasingly used across crypto markets as collateral for borrowing and leveraged trading, the same utility Kraken is now extending to tokenized stocks. Coinbase has pursued a similar convergence of traditional and crypto markets, moving toward an “everything exchange” that blends stocks, USDC, and card spending.

The scale of the shift is now measurable: as of July 4, 2026, the total value of tokenized real-world assets, excluding stablecoins, reached $32.6 billion according to data from RWA.xyz. U.S. Treasury debt dominates at $14.83 billion, nearly half the market, followed by commodities at $4.68 billion and asset-backed credit at $2.26 billion.

Tokenized stocks, the category Kraken’s feature builds on, have grown to $1.96 billion, with specialty finance, active strategies, non-U.S. government debt, and corporate credit each also above $1 billion. Government debt still drives the majority of on-chain RWA growth, but the spread across asset classes shows how far tokenization has expanded beyond any single use case. The throughline is consistent: tokenized versions of stocks, funds, and treasuries are being wired into real trading and settlement systems rather than sitting on the sidelines, and Kraken’s collateral feature fits squarely into that trend.

The Risks Don’t Disappear

The feature doesn’t remove the dangers that come with leverage. Kraken applies haircuts, reducing the collateral value assigned to each asset, and caps how much any single tokenized stock can count toward collateral. If the underlying stock drops, traders can face margin calls or liquidation, exactly as they would with any traditional leveraged position. Higher-volatility stocks receive larger haircuts, reflecting the greater risk they carry as collateral. In other words, the convenience of using stocks as collateral doesn’t soften the core reality that leverage amplifies losses as readily as gains.

READ MORE:

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No Inflationary Effect

One thing the update does not do is add supply. No new cryptocurrency or tokenized stock is created through the collateral mechanism; the change simply makes existing assets more capital-efficient by letting them secure additional borrowing or leveraged positions. That could increase trading volume and leverage on the platform, but it leaves the supply of cryptocurrencies and tokenized equities unchanged. The effect shows up in liquidity and market activity, not in monetary inflation.

Kraken’s move is a small mechanical change with a larger strategic message. Letting tokenized stocks serve as trading collateral pushes RWAs further from being blockchain curiosities and closer to being working parts of the financial system, usable, pledgeable, and integrated. It’s another sign that the line between holding a traditional asset and using one inside crypto markets is continuing to blur, with the same leverage risks that have always applied to margin trading coming along for the ride.

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Source: https://coindoo.com/kraken-makes-tokenized-stocks-crypto-collateral/

The post Solana Foundation’s President Touts Crypto Rails as SOL Tests $68 appeared first on Coindoo.

Solana Foundation President Lily Liu argued on CNBC on Wednesday that crypto’s defining feature is not price but availability: financial infrastructure open 24/7 to anyone with an internet connection, a population she puts at 5.5 billion people. The argument landed at an awkward moment for Solana’s own token, which trades at $67.21, roughly 33% below its 200-day average, while testing broken support at $68 from underneath.

The Infrastructure Argument

Liu’s core distinction separates crypto’s two functions. “Crypto is not only a ticker or an asset class,” she said, drawing a line between tokens that behave like digital gold and networks built to make finance accessible to everybody. Traditional market access is gated by geography, brokerage relationships, and accreditation, with day-one IPO allocation flowing through underwriters and institutional clients first. Tokenized access on a public blockchain removes those gates simultaneously for everyone, which is the structural claim Liu wants the industry judged on. In practice, regulation still draws its own borders: most of the platforms involved geofence their tokenized equity products, so the 5.5 billion figure describes the theoretical reach of the rails rather than who is legally permitted to use them today.

SpaceX as the Live Demonstration

Her timeliest example was the SpaceX listing. “As soon as SpaceX is available anywhere, you can get it on Solana,” Liu said, naming Ondo Finance, xStocks, and Sunrise among the platforms carrying exposure. SpaceX priced its offering at $135 per share, valuing the company near $1.75 trillion under the Nasdaq ticker SPCX.

The three venues Liu named are not interchangeable structures. Ondo’s Global Markets platform offers tokenized equity exposure but is explicitly unavailable to U.S. investors, while xStocks tokens, issued by Backed Finance, function as tracker instruments that deliver price exposure without a direct redemption path into the underlying shares for most holders. The Backpack and Sunrise SPCX asset is the structural outlier, and the only one of the three with a full redemption pathway into public equity, though Backpack also operates within strict jurisdictional compliance boundaries of its own. Investors should verify eligibility in their region before assuming access to any of these products.

Because SpaceX is now a publicly traded Nasdaq security rather than a private placement, Backpack Securities operates as a regulated brokerage buying actual SPCX shares on the open market, the same way any broker fills a client order.

According to Solana Compass, those purchased shares sit in custody with Backpack Securities while its integration with Sunrise routes and issues the corresponding tokens on-chain, each one redeemable for the underlying public equity and transferable to any traditional brokerage through ACATS and DTCC settlement rails. The token is a wrapper around a live exchange-listed stock, not a derivative of one, and the same asset now moves through Wall Street and Solana DeFi interchangeably. Competition is forming fast: Bybit announced a similar offering last week, and Binance activated its own tokenized-equity layer on Thursday.

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The Uncomfortable Backdrop: SOL’s Own Chart

Liu acknowledged the tension directly, identifying the SpaceX listing as one of the most significant short-term events pulling capital toward speculative growth assets and away from crypto.

SOL’s daily chart confirms the pressure. Analysis of the SOL/USDT chart by Coindoo team shows a high-volume June breakdown that cut through the $76–80 floor that had held since March, bottoming near $60 on June 6. All three moving averages are falling in a full bearish stack, with the SMA50 at $82.17 slipping again below the SMA100 at $83.99 and the SMA200 sitting at $100.43. Daily RSI has recovered from the low 20s, the deepest oversold reading of the year, to 35.22, but remains below the 50 midline. Price is now testing the February low near $68, with prior support acting as resistance.

A daily close above $68 could open a relief move toward $72, though heavy trapped supply sits across $76–80. Rejection here could send price back toward the $63–64 consolidation low, with $60 the final visible support. Until SOL reclaims $68, the infrastructure story and the price story remain two different charts.

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Source: https://coindoo.com/solana-foundations-president-touts-crypto-rails-as-sol-tests-68/

The post Which AI and Big Data Cryptos Build the Most? Santiment’s Top 10 appeared first on Coindoo.

Methodology Breakdown: Why Santiment’s Data Filters Matter

When evaluating open-source Web3 architectures, basic data aggregators often make the mistake of counting every single “commit.” This allows project teams to artificially inflate metrics through automated scripts, such as bulk-modifying spacing or formatting text in documentation files.

To protect market participants from superficial metrics, Santiment’s analytics framework applies a rigorous filtering algorithm tracking only high-impact Notable GitHub Activity events across a 30-day rolling window:

1. Core Architecture Modifications: Code changes that directly impact mainnet or testnet runtime structures.
2. Issue Resolution Velocities: The speed at which complex technical bugs are closed out by verified internal contributors.
3. Pull Request Peer Reviews: Collaborative code reviews between core engineering members.

Structural Layer Breakdown by Real-World Utility

The umbrella term “AI & Big Data” blends entirely different technologies together. To provide helpful consumer context, we have categorized Santiment’s top 10 most actively developed projects into their native architectural layers:

Layer 1: The Decentralized Oracle & Data Consensus Layer

• Chainlink ($LINK): Chainlink posted the highest 30-day dev activity score in the sector at 127.93 – nearly 20% above second-ranked Internet Computer’s 106.57. This output stems from ongoing updates to its Cross-Chain Interoperability Protocol (CCIP). Because AI models require tamper-proof external data feeds, Chainlink serves as the decentralized pipeline bringing verified real-world information on-chain.

Layer 2: Sovereign Compute & Decentralized AI Model Hosting

• Internet Computer ($ICP), NEAR Protocol ($NEAR), Injective ($INJ), Phala Network ($PHA): Internet Computer scored 106.57 and NEAR Protocol 43.4 over the same 30-day window – the two highest-output compute layer protocols in the cohort. Based on repository tracking, both ICP and Phala Network are building out hardware-enforced Trusted Execution Environments (TEEs), allowing enterprise AI workflows to process sensitive private data securely. NEAR’s sharding architecture targets the high throughput demanded by autonomous AI agents. Injective scored 18.37, maintaining predictable engineering output focused on low-latency compute infrastructure.

Layer 3: Verifiable Knowledge Graphs & Data Provenance

• OriginTrail ($TRAC): OriginTrail ranked 4th overall with a 30-day score of 42.63 – the highest activity-to-market-cap ratio in the top 10, given its $184.54M valuation. A primary bottleneck for enterprise AI deployment is model hallucination. OriginTrail’s ongoing code sprint targets this directly through multi-chain provenance tracking, allowing AI systems to verify the origin and authenticity of their training datasets.

Layer 4: Distributed Compute & Decentralized Storage Rails

• Livepeer ($LPT), Filecoin ($FIL), Aleph.im ($ALEPH), Oasis Network ($ROSE): Livepeer scored 26.7, focusing development on decentralized GPU pipelines for generative media rendering. Filecoin posted 15.17, with ongoing repository work targeting file-hosting reliability for large-scale data arrays. Aleph.im and Oasis Network scored 14.1 and 9.53 respectively – both providing distributed storage infrastructure, with Aleph.im flagged by Santiment as an upward velocity outlier signaling potential testnet milestones ahead.

Structural Stability vs. Sudden Spikes

Santiment’s 30-day directional tracking allows us to distinguish between mature protocols maintaining a baseline and projects accelerating repository momentum.

Unbiased Risk Analysis & Operational Counter-Indicators

True transparency requires strict neutrality. While developer velocity is a strong network health metric, it carries specific limitations that market participants must factor into their risk models:

• The Valuation Disconnect: Our analysis of Santiment’s data confirms that high development scores do not correlate with short-term price appreciation. Chainlink leads the sector at 127.93 yet trades at $8 with a $5.7B market cap according to CoinMarketCap – while token prices across the cohort trended downward over the same 7-day window.
• The Open-Source Blindspot: This index monitors public GitHub repositories exclusively. Proprietary or closed-source development activity – common in enterprise AI integrations – goes untracked and will temporarily underrepresent a project’s true engineering momentum.
• The Adoption Chasm: A high dev activity score does not guarantee real-world traction. Livepeer’s $90.19M market cap and Aleph.im’s $3.16M valuation, despite consistent repository output, reflect the gap between engineering execution and market adoption.

This market analysis is compiled strictly for informational and research purposes based on observable blockchain and derivatives exchange data feed structures. It does not constitute investment advice, financial promotion, or an endorsement to buy, sell, or hold any digital assets.

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Source: https://coindoo.com/which-ai-and-big-data-cryptos-build-the-most-santiments-top-10/

The post Tom Lee Explains Why AI Scaling Could Drive Crypto Demand appeared first on Coindoo.

The Selling Pressure Came From a $400 Billion Fundraising Sprint

Bitcoin dropped from a local high near $82,000 to the $60,000 range on 5th of May 2026. Michael Saylor, Executive Chairman of MicroStrategy, points to one cause: Wall Street mobilizing roughly $400 billion in cash to fund simultaneous mega-IPOs and private rounds for OpenAI, Anthropic, Google, and SpaceX.

To raise that cash quickly, institutional investors sold liquid assets. Bitcoin spot ETFs were an obvious target. The result was sustained ETF outflows that tracked directly with inflows into high-profile tech offerings. Saylor’s position is that this is capital rotation – a short-term reallocation driven by a time-sensitive opportunity – not a structural rejection of crypto.

Tom Lee: Blockchain Is Built for What AI Creates

Speaking to CNBC, Fundstrat Managing Partner Tom Lee pushed back against the idea that AI permanently displaces crypto. His argument runs the opposite direction: AI’s growth creates the exact conditions that make blockchain necessary.

As AI capabilities expand, the internet gets flooded with AI-generated content, synthetic media, and autonomous bot activity. Lee’s view is that blockchain, as an immutable, transparent ledger, becomes the only reliable infrastructure for proving identity, validating transactions, and distinguishing authentic content from manipulated data. The more AI scales, the more that demand grows.

Lee also pointed to tokenization as a concrete near-term driver. Investment firms are converting real-world assets, equities, bonds, real estate, into digital tokens. That process depends on composability: the ability for different blockchain-based assets and protocols to interact directly, without intermediaries. A tokenized real estate position used as collateral on a separate lending protocol, settled instantly, with no bank in the middle. Lee’s argument is that this kind of cross-asset efficiency only works on a blockchain.

$7 Trillion on the Sidelines Limits Downside Risk

Lee acknowledges that markets face friction heading into mid-June, with major tech listings concentrating institutional attention and creating short-term volatility. But he dismisses the idea that the current IPO cycle marks a market top.

The reason, according to Lee: an estimated $7 trillion sitting in money market funds and cash reserves. That scale of sideline capital can absorb multiple large tech offerings without draining broader market liquidity. The pipeline is large, but the cushion is larger.

READ MORE:

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What This Means Now

The current environment is a timing gap, not a verdict on crypto. The AI buildout is pulling institutional capital and narrative attention away from digital assets in the short term. But the infrastructure argument Lee makes runs in the opposite direction over time, the digital world AI is building might need blockchain to function at scale.

The two asset classes are not competing. They are, in Lee’s framing, sequential. AI creates the problem. Blockchain provides the settlement layer.

The information provided in this article is for educational purposes only and does not constitute financial, investment, or trading advice.

The post Tom Lee Explains Why AI Scaling Could Drive Crypto Demand appeared first on Coindoo.

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Source: https://coindoo.com/tom-lee-explains-why-ai-scaling-could-drive-crypto-demand/

The post Robert Kiyosaki: Retail Is Missing the Real Crypto Play appeared first on Coindoo.

The Argument: Institutions Already Changed Sides

Kiyosaki opened by framing the current moment as a quiet regime change in institutional finance that most retail investors missed entirely.

“The biggest financial institutions on earth quietly stopped asking how do we kill this and started asking how do we control it,” he said on the Rich Dad Radio Show. “That was the real turning point.”

His timeline of that shift was specific. Hedge funds began buying Bitcoin first. Then large investment firms offered crypto exposure to wealthy clients. Then banks that had publicly called crypto a fraud began offering custody services for their richest customers. Then came the ETFs. “When Wall Street creates an ETF around something, it is no longer fringe,” Kiyosaki said. “It becomes part of the system.”

The BlackRock entry was the signal he pointed to as definitive. “When the largest asset manager on earth enters a market, smaller institutions follow,” he said. “That’s how financial gravity works. The big money moves first. Then pension funds. Then financial advisors. Then retirement accounts. Then eventually, the public. By the time the public hears about it on the news and feels comfortable, the early money has already been made.”

Bitcoin Was the Opening Act

Kiyosaki made a distinction that most crypto coverage does not: Bitcoin proved the idea, but the infrastructure play is elsewhere.

“The real story was never Bitcoin,” he said. “Bitcoin was the opening act. It proved the idea could survive. It proved people would trust a currency that no government could print. But the real infrastructure play is something most people have never thought about.”

That infrastructure play, in his framing, is stablecoins. “A stablecoin is a digital dollar,” he explained. “Unlike Bitcoin, which moves wildly in price, a stablecoin is designed to stay at one dollar. Simple, stable, but the implications are enormous. Because suddenly you can move dollars across the world instantly. No three-day wire delays, no bank fees, no permission required. Money starts moving like information moves.”

The structural implication he highlighted is one that most mainstream coverage has not absorbed. Many stablecoin companies hold their reserves in US Treasury bonds. “That means crypto companies are quietly becoming buyers of US government debt,” Kiyosaki said. “Think about how strange that is. The same system the government tried to destroy is now helping support parts of the financial system itself.”

The Five Companies He Named

Kiyosaki identified five companies his research team flagged as positioned for the infrastructure buildout, prefacing the list with an explicit disclaimer that this is not financial advice and that the entire thesis could be wrong.

Coinbase was his first pick, and his framing moved well beyond the retail trading app most people know. “Coinbase is becoming financial infrastructure,” he said. “Custody. Settlement. Institutional access. Compliance.” His argument is that as large financial institutions continue moving into digital assets, they need regulated infrastructure and trusted settlement systems, and Coinbase is already operating in that space.

Circle, the issuer of USDC, was his second. “Circle sits behind one of the largest stablecoins in the world,” he said, “and stablecoins may become one of the most important financial products of the next decade.” He described Circle as quietly evolving into something resembling a digital bank, while acknowledging the regulatory tension that comes with operating in space traditionally controlled by banks.

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Block, founded by Jack Dorsey, made the list for its aggressive positioning around Bitcoin and peer-to-peer financial infrastructure. Kiyosaki’s argument is that if younger generations continue shifting toward digital financial behavior, companies already embedded in those ecosystems carry significant long-term upside.

PayPal was his fourth pick, and he anticipated the skepticism directly. “PayPal? That’s not exciting. Exactly. That’s the point,” he said. “Mainstream adoption almost always flows through companies people already trust. And once major payment companies start integrating stablecoins and digital assets into the everyday tools people already use, the transition stops feeling speculative. It starts feeling normal. And normalization is where giant waves of capital begin flowing.”

BlackRock closed the list. “BlackRock is the largest asset manager on earth,” Kiyosaki said. “The most traditional Wall Street institution you can name. That’s exactly why it matters. When the world’s largest money manager starts building infrastructure around digital assets, you should pay attention. Not because institutions are always right. But because institutions follow incentives.”

The Risk He Did Not Avoid

Kiyosaki spent time on the downside case in a way that financial entertainment rarely does. “This entire thesis could be wrong,” he said plainly. “Governments could regulate this industry into a corner. Major hacks could destroy public confidence. Speculative bubbles could collapse again and take years to recover. Large banks could dominate the space and crush every smaller player.”

His framing of intelligent investing was explicit: “It’s about probabilities. Position sizing. Patience.” He drew a sharp distinction between retail investors who chase headlines and meme coins and the approach he described as identifying massive trends before the crowd understands what is happening, then waiting.

“The public thinks crypto is fighting Wall Street,” he said. “Wall Street is already positioning to profit from the next phase of it. The public is still reading the old headlines. The smart money is already building.”

The information provided in this article is for educational purposes only and does not constitute financial, investment, or trading advice. Coindoo.com does not endorse or recommend any specific investment strategy or cryptocurrency. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.

The post Robert Kiyosaki: Retail Is Missing the Real Crypto Play appeared first on Coindoo.

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Source: https://coindoo.com/robert-kiyosaki-retail-is-missing-the-real-crypto-play/

The post Blockchain Investigator ZachXBT Flags JuCoin Withdrawal Issues appeared first on Coindoo.

According to a warning posted by independent blockchain investigator ZachXBT in his Telegram Channel, multiple users of JuCoin, an East Asian centralized exchange, have reported withdrawal issues over the past week. The alert serves as a community warning ahead of Token 2049, where JuCoin has previously appeared as a sponsor.

ZachXBT noted this is not his first warning about the platform. “In March, I first published a warning for Ju when they were listed as a Platinum sponsor for Token 2049 after I observed numerous red flags,” he wrote.

JuCoin publicly attributed the withdrawal delays to platform upgrades and restructuring but has not provided a timeline for resolution.

The Reserve Question

A separate analysis of JuCoin’s proof of reserves, shared on X, alleged that the platform’s self-reported $511 million in total assets are likely overstated. The core allegation suggests these reserves consist primarily of self-issued stablecoins lacking external backing. Stablecoins counted as reserves are only as credible as the issuer’s backing; if these assets are not verifiably backed by equivalent assets held outside the exchange’s ecosystem, the $511 million figure does not reflect actual solvency.

ZachXBT also raised concerns about ownership transparency. “Ju’s ownership is opaque,” he wrote. “The publicly listed team does not appear to actually control it. That fits a pattern seen with fraudulent offshore exchanges, where the actual principals, often Chinese, stay hidden.” He added that JuCoin fails basic standards for centralized exchanges, including full ownership transparency and registration in reputable jurisdictions.

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The Track Record

The withdrawal alert sits against a documented history of incidents connected to the JuCoin ecosystem.

Previously, JuDAO allegedly lost $20 million after deploying a proxy contract that incorrectly left 77 million POL tokens stuck and unrecoverable, followed by a separate $225,000 smart contract exploit.

JUDAO exploit alert on BSC Chain:

Loss: At least 205,259.490762 USDT, plus 36 BNB routed out via PancakeSwap

Target: PancakeSwap V2 BUSD-JUDAO

Attack Tx:https://t.co/uNxZYb49cB

Summary: The attacker flash-loaned 2,295,723.159642 USDT from Lista DAO: Moolah, bought…

— ExVul (@exvulsec) April 28, 2026

Furthermore, ZachXBT noted that at least $5 million tied to the Bybit DPRK exploit moved through Ju. This occurred during the same period the Ju team publicly claimed it would offer up to 1,000 BTC (approximately $95 million) in financial support for Bybit following that hack.

The exchange’s rebranding history adds further context. The platform has operated under at least three identities—Jubi, JuCoin, and Joy Universe—before settling on its current branding as Ju. Serial rebranding is a pattern ZachXBT has previously identified as a critical red flag in his investigations of offshore exchanges.

JuCoin has not responded publicly to ZachXBT’s reserve allegations or ownership concerns beyond its earlier statement attributing withdrawal delays to upgrades.

The information provided in this article is for educational purposes only and does not constitute financial, investment, or trading advice. Coindoo.com does not endorse or recommend any specific investment strategy or cryptocurrency. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.

The post Blockchain Investigator ZachXBT Flags JuCoin Withdrawal Issues appeared first on Coindoo.

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Source: https://coindoo.com/blockchain-investigator-zachxbt-flags-jucoin-withdrawal-issues/

The post Crypto Valuation Audit: Comparing 2026 Layer-1 Revenues vs. FDV appeared first on Coindoo.

Why This Audit Matters Now

The era of valuing blockchain networks purely on transaction speed promises and ecosystem narratives is producing visible cracks. As institutional capital becomes increasingly selective and the broader crypto market corrects sharply from 2025 highs, the question of which networks can justify their valuations through actual fee generation is no longer academic. It is the difference between assets that have structural floors and assets that are priced entirely on sentiment.

To answer that question with data rather than narrative, all figures in this audit were sourced from Token Terminal on June 5, 2026. Token Terminal is an institutional blockchain analytics platform that aggregates on-chain financial data across major networks, used by asset managers and research desks as a primary data source for protocol-level revenue analysis. The two core metrics used are the Price-to-Sales ratio (P/S), a standard corporate finance metric calculated as fully diluted market cap divided by annualized protocol revenue, adapted here to measure how much the market pays for each dollar of network fee revenue, and valuation per daily active address, calculated as fully diluted market cap divided by Daily Active Addresses (DAA). Both metrics cut through marketing language and ask a simple question: what does the market actually pay for each dollar of network revenue?

Tron: The Number That Should Be Getting More Attention

When we take a closer look at the data, the most striking figure in the entire matrix is not Bitcoin’s $1.3 trillion valuation or Ethereum’s dominant market position. It is Tron’s P/S ratio of 10.5x.

Tron’s $31.5 billion fully diluted market cap is supported by $3.002 billion in annualized protocol revenue, a fee-generating capacity that rivals profitable technology companies in traditional markets. At 10.5x, Tron’s P/S ratio is 25 times more efficient than Solana, 63 times more efficient than BNB Chain, and over 100 times more efficient than Ethereum on the same metric.

The driver behind that revenue density is not a diverse application ecosystem. It is almost entirely one use case: Tron processes a dominant share of global peer-to-peer USDT transfers. That concentration is both its strength and its structural risk. A network whose revenue depends on a single stablecoin issuer’s continued preference for its infrastructure is not diversified. But the revenue itself is real, it is recurring, and at a $7,159 valuation per daily active address against 4.4 million daily active addresses, Tron is monetizing its user base more efficiently than any other network in this dataset by a wide margin.

For value-focused analysts applying traditional metrics to digital assets, Tron’s numbers are genuinely difficult to argue with. The market has largely chosen to ignore them, which is itself a data point worth noting.

Ethereum: A Premium With a Structural Explanation

Ethereum’s P/S ratio of 1,112x sounds alarming until we take a closer look at what is actually happening to its fee structure. The $213.5 billion fully diluted market cap against $192 million in annualized protocol revenue reflects a network that has deliberately offloaded execution to Layer-2 environments, Base, Arbitrum, Optimism, and others, as part of its data-availability roadmap.

That architectural decision has been successful for end users and costly for mainnet fee capture. When transactions move to Layer-2 networks, the fees generated on those networks do not flow back to Ethereum’s base layer at anywhere near the rate they did when execution happened on L1. The result is a mainnet that processes significantly less direct economic activity than it did during its peak fee-generation period, even as its ecosystem continues to expand through Layer-2 activity.

The $474,760 valuation per daily active address, by far the highest in the dataset, tells the same story from a different angle. With only 449,700 daily active addresses on the base layer, the market is pricing each Ethereum mainnet user at nearly half a million dollars. That is not a sign of commercial efficiency. It is a sign that base layer activity has concentrated among high-value institutional and protocol-level participants while retail and application activity has migrated to cheaper execution environments above it.

Whether that is a problem depends on what Ethereum is optimizing for. If the goal is to be the settlement layer for an ecosystem of rollups rather than a direct application platform, the current fee structure may be by design rather than by failure. But the P/S ratio of 1,112x reflects a market still pricing Ethereum as if its historical application dominance will return to the base layer, which the data does not currently support.

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Solana: The Commercial Middle Ground

Solana occupies the most defensible position in the dataset for investors who want both genuine fee generation and meaningful scale. As we see from the data, its $164.4 million in annualized revenue as of date is the second highest in the dataset after Tron, generated on a single shared state rather than distributed across Layer-2 environments that fragment fee capture.

The P/S ratio of 262.8x is elevated in absolute terms but looks materially different in context. It is 4.2 times more efficient than BNB Chain, 4.2 times more efficient than Ethereum, and 58.9 times more efficient than Bitcoin on the same metric. The $24,000 valuation per daily active address against 1.8 million daily active addresses reflects a network that has achieved meaningful user scale while maintaining a commercial fee structure through priority fee bidding and sustained DEX volume.

What we can conclude from the Solana data is that the network has built a genuine revenue engine rather than a speculative valuation story. A network generating $164.4 million in annualized fees with 1.8 million daily active addresses has a structural floor that pure narrative assets do not.

BNB Chain: A Valuation That Needs Explaining

When observing closer the BNB Chain’s numbers, we saw that the P/S ratio of 658.6x against $123.6 million in annualized revenue and an $81.4 billion fully diluted market cap is the hardest figure in the dataset to defend on fundamental grounds. As we see from the data, BNB Chain generates less protocol revenue than both Tron and Solana while carrying a valuation nearly twice that of Solana, a network with stronger revenue metrics across every dimension.

The $22,000 valuation per daily active address sits within $2,000 of Solana’s $24,000, which suggests the market assigns roughly equivalent commercial value to each BNB Chain user despite the significant revenue gap. That alignment is not a sign of efficiency, it is a sign that BNB Chain’s valuation is not being driven by what its network earns. It is being driven by Binance ecosystem utility: BNB as a fee discount token, trading incentive, and exchange-native asset. That is a structural dependency on a centralized platform rather than a self-sustaining commercial moat, and the revenue figures make that dependency visible in a way that price alone does not.

Bitcoin: Where Traditional Metrics Stop Working

Bitcoin’s inclusion in this dataset is instructive precisely because its numbers make no sense under any commercial valuation framework. A P/S ratio of 15,476x and a valuation per active address exceeding $2.67 million do not describe a network competing for application revenue. They describe an asset class.

Bitcoin generates $84 million in annualized protocol revenue from 486,800 daily active addresses, figures that would be unremarkable for a mid-tier application blockchain. The $1.3 trillion fully diluted market cap that sits above those numbers is not priced on fee generation. It is priced on scarcity, censorship resistance, institutional reserve demand, and the 15-year track record of surviving 472 declared deaths while continuing to produce new blocks every ten minutes.

What the data tells us is that applying P/S analysis to Bitcoin is the analytical equivalent of applying a price-to-earnings ratio to gold. The metric produces a number, but the number does not explain the price. Bitcoin exists in a separate valuation category from every other asset in this dataset, and the market has consistently priced it that way regardless of what its on-chain revenue metrics show.

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What the Audit Concludes

When we take the full dataset together, the clearest conclusion is that the crypto market in 2026 is pricing assets across at least three distinct valuation frameworks simultaneously: Tron and Solana on something approaching commercial revenue multiples, Ethereum on a combination of ecosystem optionality and historical dominance premium, BNB Chain on exchange utility dependency, and Bitcoin on macro reserve asset logic that has nothing to do with protocol revenue.

Networks that fail to generate sticky, recurring fee revenue while carrying elevated P/S ratios face structural multiple contraction as institutional capital applies increasingly rigorous valuation standards. As we see from the data, the platforms best positioned to withstand that scrutiny are those where the revenue is real, the user base is active, and the P/S ratio reflects genuine commercial activity rather than narrative premium alone.

The information provided in this article is for educational purposes only and does not constitute financial, investment, or trading advice. Coindoo.com does not endorse or recommend any specific investment strategy or cryptocurrency. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.

The post Crypto Valuation Audit: Comparing 2026 Layer-1 Revenues vs. FDV appeared first on Coindoo.

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Source: https://coindoo.com/crypto-valuation-audit-comparing-2026-layer-1-revenues-vs-fdv/

The post Wall Street vs. Fintech War to Control On-Chain Dollar appeared first on Coindoo.

Why the Banks Are Building This

Large companies do not keep their money sitting in a checking account. They hold billions in what are called corporate deposits, money parked at banks like JPMorgan or Bank of America, earning little to no interest, but available instantly for payroll, supplier payments, or cross-border transfers. Banks rely on these deposits to fund their own lending operations. Losing them would be a serious problem.

Private stablecoins like Tether’s USDT and Circle’s USDC have started to look attractive to corporate treasurers for one simple reason: they settle instantly, operate 24 hours a day, and can move across borders without going through the slow and expensive wiring infrastructure that traditional banks use. For a company making hundreds of cross-border payments a month, that is a real operational improvement.

The threat became more urgent when Congress began moving the CLARITY Act forward, which recently passed the Banking committee. If passed, the law would allow stablecoin issuers to pay interest directly to token holders, giving a corporate treasurer a dollar-denominated digital asset that:

• Settles in seconds rather than one to three business days
• Works on weekends and public holidays without batch processing delays
• Crosses borders at a fraction of traditional wire transfer costs
• Pays a yield on top of all of the above

That combination makes a traditional zero-interest bank account difficult to justify for a corporate finance team managing large cross-border cash flows.

JPMorgan, Bank of America, Citigroup, and Wells Fargo responded by announcing a joint network, first reported by The Wall Street Journal on June 5, 2026, that will offer the same speed and programmability as private stablecoins while keeping corporate deposits inside the regulated banking system. The network is scheduled to launch in the first half of 2027, operated by The Clearing House, the private clearing infrastructure owned collectively by the largest US commercial banks. Development teams have been calling it internally “the bridge” or “the chain.”

The key difference between what the banks are building and what Tether or Circle offer comes down to protection. Here is how the two compare:

• Tokenized bank deposit: Remains an explicit liability of the issuing bank, retains FDIC eligibility, operates under the same legal framework as a regular account
• Private stablecoin (USDT/USDC): No insurance backstop, carries de-peg risk if the issuer runs into trouble, exposed to smart contract vulnerabilities

The banks are betting that for large institutional clients, that protection is worth more than the yield.

What Stripe, Visa, and Mastercard Are Building

While the banks are defending their deposit base, three of the world’s largest payment companies are building infrastructure that goes in the opposite direction, moving corporate payments through private stablecoins rather than keeping them inside banks.

The platform is the product of several years of major acquisitions:

• Stripe bought Bridge, a stablecoin infrastructure company, for $1.1 billion in late 2024.
• Mastercard acquired BVNK, a crypto payments startup, for $1.8 billion in early 2026.
• Visa has been testing stablecoin settlement across nine separate blockchains including Solana, Base, and Ethereum.
• Coinbase is evaluating whether to join the consortium.

The goal is to cut the cost of cross-border B2B payments to below 0.1% per transaction. For context, traditional credit card interchange fees typically run between 1.5% and 3.5%. For a company processing millions in monthly cross-border payments, that difference goes directly to the bottom line.

The technical engine behind the platform is Bridge. Here is how it works in practice:

• A business connects its accounting software to Bridge through an API
• When it initiates a cross-border payment, for example a US company paying a supplier in Mexico, it inputs regular fiat currency
• Bridge converts that into a stablecoin and evaluates live conditions across multiple blockchains in real time
• It routes the transaction through whichever network is fastest and cheapest at that moment – if Ethereum gas fees are high, it automatically switches to Solana or Base
• At the destination, it converts the stablecoin back into local currency
• The full audit trail pushes directly into standard accounting software

The merchant or business using it never sees a blockchain. They see a payment that arrived faster and cheaper than a wire transfer.

Through a product called Open Issuance, Bridge also allows companies, fintechs, and marketplaces to create their own branded digital dollars without going through a traditional bank clearinghouse. That capability directly competes with what Circle and Tether currently provide, which is why the consortium’s stated competitive target is the stablecoin duopoly itself.

READ MORE:

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The Coinbase Decision in August 2026

Since August 2023, Coinbase and Circle have split the revenue generated by USDC, the dollar-backed stablecoin that Circle issues. The current deal structure works as follows:

• Coinbase keeps 100% of the interest earned on USDC held directly on its platform
• For USDC circulating outside the exchange, interest revenue splits 50/50 between Circle and Coinbase
• That arrangement generates over $900 million a year for Coinbase, roughly 33% of its total revenue

According to report by Coindesk, that contract expires in August 2026. Both sides are already positioning aggressively before the renewal talks begin.

Circle has started developing products that compete directly with Coinbase’s ecosystem, including exploring a wrapped Bitcoin token to compete with Coinbase’s cbBTC product, as a show of leverage before the negotiations. Coinbase has responded by openly evaluating a seat in the Stripe, Visa, and Mastercard consortium, which signals to Circle that Coinbase is ready to diversify away from USDC distribution entirely.

The regulatory pressure adds another dimension. Recent drafts of the CLARITY Act would limit how much retail stablecoin yield Coinbase can capture, reducing its current advantage in the deal. That gives Circle an opening to demand better terms at renewal. Analysts estimate Circle could reclaim $300 million to $400 million annually if it forces a more conservative 50/50 revenue split across all USDC distribution rather than the favorable terms Coinbase currently holds.

Coinbase evaluating a move toward the payment giants consortium at exactly the moment its USDC contract expires is not a coincidence. A company that routes stablecoin volume through Stripe, Visa, and Mastercard has less need for Circle’s distribution infrastructure. That threat, credible or not, is worth hundreds of millions of dollars across the negotiating table.

What This Means for Anyone Paying Attention

Two separate rebuilding projects are happening simultaneously in dollar payment infrastructure, moving in opposite directions:

• The banks want corporate dollars to stay in the banking system but move faster and more programmably
• The payment giants want corporate dollars to move through private digital rails entirely, faster and at a fraction of the cost

Corporate treasurers will eventually choose based on three things: speed, cost, and the level of legal protection they need. Both platforms offer speed. The payment giants win on cost. The banks win on regulatory safety.

The August 2026 Coinbase decision is the most immediate signal of which direction institutional appetite is leaning. Coinbase sitting at the table with Visa, Mastercard, and Stripe is the clearest indication yet that even the companies closest to the existing stablecoin infrastructure believe the current setup is about to change.

The information provided in this article is for educational purposes only and does not constitute financial, investment, or trading advice. Coindoo.com does not endorse or recommend any specific investment strategy or cryptocurrency. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.

The post Wall Street vs. Fintech War to Control On-Chain Dollar appeared first on Coindoo.

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Source: https://coindoo.com/wall-street-vs-fintech-war-to-control-on-chain-dollar/