Home Blog Page 406

Accelerate AI Transformation: Huawei Unveils 4-Win Model to Empower Financial Institutions

info@uweb3.io
-
0
Accelerate AI Transformation: Huawei Unveils 4-Win Model to Empower Financial Institutions

Huawei is working to evolve digital transformation in banking by moving from individual product sales toward a collaborative ecosystem. This approach aims to help financial institutions better integrate and scale AI technologies.

Announced during the Huawei Global Financial EcoWeek in Dongguan, China, the company’s new 4-Win collaboration model and upgraded RONGHAI Program address a growing industry hurdle: the difficulty of moving advanced AI out of pilot phases and into everyday core banking environments. The initiative shifts the focus from standalone technologies to a systematic alignment of infrastructure, specialised software, and local deployment expertise.

The core logic of the strategy relies on orchestrating a clear division of labour. It connects Huawei’s underlying ICT capabilities with independent software vendors (ISVs) providing vertical-specific applications, and regional system integrators (SIs) managing the complex final stages of deployment.

Leo Chen SVP of Enterprise Sales Huawei

Leo Chen, senior vice president and president of enterprise sales at Huawei, explained that the company is “committed to helping industries go intelligent” through a multi-tiered approach. This involves “building an open software platform to help enterprises quickly develop and deploy AI agents,” while simultaneously shifting the broader industry focus from acting as product integrators to becoming transformation enablers.

A recent deployment at Saudi R Bank illustrates the mechanics of this four-way model in practice. The institution was facing manual bottlenecks in credit documentation and compliance reviews. Rather than a single vendor attempting to overhaul the system, the project was split across specialised entities. ISV Neuxnet deployed its enterprise AI platform to provide intelligent parsing and decision-making algorithms directly targeting the workflow inefficiencies.

To prevent these advanced algorithms from falling into the lab trap, where pilot projects fail to scale due to infrastructure limits, Huawei supplied the foundational cloud architecture and computing power. This underlying framework ensured the high-concurrency AI applications could operate stably under the strict, financial-grade security and compliance constraints required by the bank.

Crucially, the deployment required navigating local Saudi regulatory standards, multilingual adaptation, and delicate integration with the bank’s legacy core systems. A Saudi-based system integrator managed this complex integration, leveraging its deep understanding of regional business processes to bridge the gap between the technical framework and the bank’s existing operational workflows.

This architectural collaboration yielded tangible business gains rather than just technological upgrades. The financial institution eliminated operational bottlenecks and reduced costs, freeing personnel for higher-value tasks while boosting overall agility. Simultaneously, the software vendor successfully scaled its AI workflow product commercially within a top-tier overseas market, and the local system integrator established a competitive moat in the high-barrier intersection of AI and financial system integration.

For Huawei, the project completes a critical triad of compute, application, and service, serving as a proof-of-concept for its ecosystem approach. Alvin Feng, president of Huawei digital finance international, commented that global financial institutions are rapidly advancing toward intelligence. He added that high-quality data, agile technical platforms, and resilient infrastructure dictate the speed and scale of AI transformation, ultimately creating a vast growth pathway for collaborative innovations in the financial services sector.

Bitcoin will bottom at $57,000 in October and will not see an all-time-high this year, says Michael Terpin

info@uweb3.io
-
0
Bitcoin will bottom at $57,000 in October and will not see an all-time-high this year, says Michael Terpin

Bitcoin BTC$76,833.02 has not reached its bottom yet, and a new all-time high is unlikely this year, said Michael Terpin, an early bitcoin investor and author of Bitcoin Supercycle: How the Crypto Calendar Can Make You Rich.

“Before a bull market for bitcoin can be called, the price needs to break back above $100,000 and no support anywhere near has manifested,” according to Terpin, who said the bottom will be seen at $57,000 sometime in October.

“Despite a double-digit gain thus far in April, we are very much still in a bitcoin fall.”

Terpin is often called ‘the crypto Godfather’ for his involvement in the industry around 2013, when the digital asset sector was still small and somewhat misunderstood by the mainstream. Among his many ventures, Terpin founded Transform Group, one of the first PR firms focused on blockchain companies, CoinAgenda, one of the first conferences in the space and BitAngels, a crypto angel investor group.

His bearish view for this cycle stands in contrast to the consensus among analysts that the February low around $60,000 marked the end of the bear market and the beginning of a new bull run. Most of these bullish analysts cited renewed inflows into U.S.-listed spot ETFs and the token’s resilience during the Iran conflict and the oil price spike as part of their outlook.

In an interview with CoinDesk, Terpin said that during Asian trading hours on Monday, “the psychological barrier of $80,000 was strongly rejected, with the high price of oil a factor.” He explained that this is typical at this stage of the bitcoin cycle, with lower highs being rejected until the final capitulation.

While Jason Fernandes, a market analyst and co-founder of AdLunam, agrees with Terpin that the bottom has not yet been seen, he disagrees with the timeline, adding that the market may not have fully capitulated yet. Capitulation is a phase in which long-term holders exit in large numbers, signaling a peak in selling pressure.

“Terpin makes a reasonable case for a later-cycle bottom, but I don’t believe bitcoin has fully capitulated yet,” Fernandes said. “Historically, durable bottoms tend to coincide with a clear exhaustion of both speculative leverage and macro uncertainty, and we’re definitely not there yet.”

Terpin insisted that the fundamentals point more toward a bottom that includes the historical average of the one-year period from each cycle’s bottom.

“That indicates somewhere around $57,000,” he said, predicting that it will happen sometime in October, about the same timeline from last year when BTC first dipped below $100,000, followed by the October 10 crash, when $19 billion in leveraged positions were wiped out in the largest single-day event on record.

Fernandes added that broader macro conditions could continue to weigh on risk assets, including bitcoin.

“Liquidity conditions remain tight, and risk assets broadly are still adjusting to a higher-for-longer rate environment,” he said. “Until we see a more decisive shift in monetary policy or a true washout event in crypto markets, downside volatility remains likely.”

‘Overly bearish’

The author and entrepreneur also said bitcoin will not see an all-time high (ATH) this year.

However, Mati Greenspan, a crypto market analyst and founder of Quantum Economics, disagrees.

“While I’m hesitant to ever disagree with the ‘Crypto Godfather,’ his take seems overly bearish to me,” Greenspan said. “We still have lots of room to run this year, given the level of institutional adoption and growing interest a new all-time-high (ATH) certainly seems plausible.”

AdLunam’s Fernandes also said market sentiment has not yet reached the levels typically associated with cycle bottoms.

“Sentiment hasn’t reached the kind of extreme pessimism that typically marks cycle lows,” he said. “To me, that says we may still need one more leg down – whether or not it aligns exactly with the $57,000 to $59,000 range – before a sustainable base is formed.”

Regarding Terpin’s $100,000 level, Fernandes said it serves more as a psychological signal than a strict technical threshold.

“A true bull market is defined by structural higher highs and strong capital inflows, not just a single price level,” he said. “That said, the psychological effects of hitting $100,000 could trigger exactly that behavior,” Fernandes added.

Every blockchain transaction is a gift to your competition

info@uweb3.io
-
0
Every blockchain transaction is a gift to your competition

Imagine a tireless analyst who works around the clock, cross-referencing a company’s onchain purchasing patterns with satellite imagery of its warehouses, correlating its job postings with its patent filings, and mapping its entire supply chain by watching the flow of smart contract payments. This analyst never sleeps, never loses focus and costs almost nothing to run.

That analyst is coming. It’s an AI agent, and your competition will have one.

The rush to build agentic commerce is well underway. The combination of decision-making AI with smart contracts on blockchains is genuinely powerful. Consumer-facing agents will go bargain hunting and close deals autonomously. Enterprise agents will forecast demand and execute procurement at scale through onchain contracts. The efficiency gains are enormous.

But this technology works in both directions. The same infrastructure that lets an enterprise agent negotiate better deals also broadcasts a remarkable amount of information about how that enterprise operates. Public blockchains have no native privacy. And “security by obscurity” — the hope that nobody will bother to piece together all those scattered data points — collapses completely when automated agents can spend their nights reverse-engineering a competitor’s operations, for pennies.

This is not new. It is about to get much, much faster.

Companies have always leaked intelligence. iFixit has built a business around tearing apart every major new electronics product within days of launch, exposing components, likely bill-of-materials costs, and manufacturing approaches for anyone to study. Satellite imagery firms already track everything from warehouse activity to crop yields to oil tanker movements, selling the insights to hedge funds and competitors alike. Specialized competitive intelligence firms have long mapped supply chains and reverse-engineered pricing strategies.

What’s different now is the synthesis. Each of these data streams, taken alone, tells a partial story. An agentic system can pull them all together — public filings, onchain transaction flows, satellite data, job postings, patent applications, shipping records — and deliver not just raw data about your competition but a coherent picture of their strategic road map, updated continuously.

The question this forces is not whether competitors will know more. They will. The question is: what should companies do about it?

Start by admitting what was never really secret

The first step is a clear-eyed audit, from first principles, of what needs to be confidential — because sensitive information is not always treated as such.

Take business strategy. Companies have to tell shareholders so they’ll buy the stock. They have to tell employees so they’ll pull in the same direction. They need to tell partners so they’ll invest alongside them. And once they’ve told all those audiences, they’ve effectively told the competition too. Strategy has not been a real secret for a long time.

The best companies already know this. Apple doesn’t hide that it’s building an ecosystem play. Amazon doesn’t disguise its obsession with logistics efficiency. They don’t win by surprise. They win by execution.

And even execution, at a high level, is more transparent than most people admit. Anyone can walk into a Walmart store and catalog every product on the shelves. Anyone can unscrew the back of any piece of electronics and identify every component. Any analyst can read the 10-K and map out the cost structure.

What’s genuinely left to protect

Strip away strategy, strip away the broad strokes of execution, and what remains is operational detail. Not what components are in a product, but what the company is paying for them. Not that a company has a supply chain, but the specific terms, conditions, volume commitments, and quality management processes that make one supply chain faster or cheaper than the next. The granular, day-to-day mechanics of how the machine actually runs.

This is the data that creates a durable competitive advantage. And in an era of agentic commerce, it’s precisely the data most at risk — because it’s flowing through the same blockchain infrastructure that agents use to transact.

The privacy imperative

If enterprise agents are executing procurement contracts, managing supplier relationships, and orchestrating logistics on public blockchains without privacy, those enterprises are broadcasting their operational playbook to every competitor running an analytical agent. The very system designed to drive efficiency becomes the system that strips away the competitive moat.

The answer isn’t to avoid blockchains — the efficiency and automation benefits are too significant. The answer is to demand privacy as foundational infrastructure, built in from the start, not bolted on as an afterthought.

And the rethinking won’t stop at blockchain transactions. Enterprises will need to examine every digital touchpoint — email metadata, web server configurations, government disclosures, DNS records — with fresh eyes, asking not “could someone find this?” but “what could an agent synthesize from this combined with everything else it knows?”

The new competitive landscape

The world is entering an era where the floor of competitive intelligence rises dramatically for everyone. Agents will make the kind of analysis that once required dedicated teams and significant budgets available to any company willing to deploy them.

The companies that will thrive aren’t the ones that try to hide everything — that’s a losing game. They’re the ones that will clearly distinguish between what can’t be secret (strategy, product design, market positioning) and what must be (operational mechanics, pricing terms, supplier relationships), and then invest seriously in the infrastructure to protect what matters.

A crypto coalition releases technical proposal to save Aave users from a massive token exploit

info@uweb3.io
-
0
A crypto coalition releases technical proposal to save Aave users from a massive token exploit

A $300 million hole doesn’t usually come with a neat repair manual. This time, the group spearheading the Kelp DAO recovery effort is trying to write one.

DeFi United, a coalition of multiple blockchain projects and crypto ecosystem individuals, has laid out a detailed, step-by-step plan to restore the backing of rsETH after this month’s Kelp DAO hack sent shockwaves through DeFi lending markets, releasing more than 116,000 tokens that weren’t properly accounted for.

The proposal, circulated on Aave’s official X account, reads like a coordinated cleanup operation, one that leans heavily on Aave’s infrastructure to unwind the damage and get markets back on a stable footing.

The incident traces back to April 18, when an attacker exploited a vulnerability in rsETH’s bridge. By forging a message that appeared legitimate, the attacker tricked the Ethereum side of the system into releasing 116,500 rsETH, making the system believe the funds had moved when they hadn’t, allowing a large batch of rsETH to be created without backing.

Those tokens didn’t just sit idle. They were spread across multiple wallets and deployed across DeFi, with a significant portion used as collateral on Aave and other lending platforms.

That’s where the problem became systemic: protocols like Aave suddenly found themselves holding collateral that, at least temporarily, wasn’t fully backed.

According to the proposal, most of the exploited funds are still in play. Roughly 107,000 of the original 116,500 rsETH remain tied up in active positions across Aave and Compound.

That leaves two problems to solve at once: restoring the actual backing of rsETH itself, and unwinding the loans created using those extra tokens.

DeFi United’s proposal aims to tackle both sides of that equation simultaneously.

On the backing side, the group says it has already lined up enough ETH commitments to fully re-collateralize rsETH. The plan is to feed that ETH back into the system in stages, converting it to rsETH and depositing it back into the system so the token is once again fully backed.

At the same time, attention shifts to the lending markets where the damage is most visible.

Instead of letting things play out chaotically, the plan is to step in and carefully unwind the mess.

A big part of that involves dealing with the positions the attacker opened on Aave. These are essentially loans backed by rsETH that shouldn’t have existed in the first place. Rather than waiting for those loans to collapse on their own — which could cause more market disruption — the proposal suggests nudging the system so they can be closed out in a more controlled way.

In practice, temporarily adjusting how rsETH is valued inside the system will enable those bad positions to be liquidated or closed more smoothly. As those positions are unwound, the underlying assets (like ETH) can be recovered. The proposal estimates this could free up around 13,000 ETH from Aave alone.

Once that collateral is back in hand, it gets converted into ETH and used to cover the shortfall created by the exploit — essentially filling the hole left behind.

The process isn’t risk-free. It hinges on governance approvals across multiple chains, the successful deployment of committed funds and a smooth execution of the unwind.

Still, the plan reflects a more coordinated response than DeFi has often managed previously. If executed as intended, the end goal is straightforward: “rsETH backing is fully restored, and all affected markets are stabilized,” as the proposal says.

Read more: Industry leaders are pouring hundreds of millions into a rescue plan for Aave users after massive crypto hack

Record $1.1B Seed Funding for Reinforcement Learning Startup

info@uweb3.io
-
0
Record $1.1B Seed Funding for Reinforcement Learning Startup

A U.K. startup that aims to steer AI in a new direction has raised $1.1 billion in funding at a valuation of $5.1 billion — reported to be the largest seed financing for a European company yet.

Ineffable Intelligence is a London-based vendor that is the brainchild of former Google DeepMind researcher David Silver, who has said that the pursuit of superintelligence — AI that exceeds human capabilities — is his “life’s work.”

Silver’s involvement has captured the attention of a strong cast of investors, with the financing led by Sequoia Capital and Lightspeed Venture Partners, backed up by a host of other participants, including Nvidia, Google, DST Global and the U.K.’s recently formed government-backed Sovereign AI initiative.

What makes Ineffable stand out is its mission that it can build algorithms that learn from themselves using reinforcement learning, rather than following the example of many AI models, which rely on human data.

Related:Meta Taps Solar Energy to Power Data Centers

According to Silver, this method will create a ”superlearner” able to teach itself everything from “elementary motor skills through to profound intellectual breakthroughs,” with the potential to transcend accepted benchmarks in the likes of language, science, mathematics and technology.

He expands on this vision in a paper co-authored with another computer scientist, Richard Sutton, entitled in which he says: “We stand on the threshold of a new era in artificial intelligence that promises to achieve an unprecedented level of ability. A new generation of agents will acquire superhuman capabilities by learning predominantly from experience.”

The company isn’t holding back in its claims as to what this means and how it will be achieved. It says the knowledge and skills attainable by superintelligence will be the “most transformative moment” in history.

Ineffable says superintelligence will be with us within years, rather than decades or centuries.

Investors’ conviction that Silver — a professor at University College London — can create such a superlearner is based on his track record at DeepMind, where he created AlphaGo, an AI system that was able to comprehensively defeat a human world champion in the ancient Chinese game of Go.

DeepMind went on to develop AlphaZero, another AI program that achieved world-level performance by self-play in other games, including chess, fueling the idea that tech can solve complex problems beyond the reach of humans.

While Ineffable does not yet have a defined product roadmap, the funding will go toward ongoing research, with the company currently recruiting AI talent as it seeks to gain further momentum.

Related:DeepSeek-V4 Could Change Global AI Model Race

The funding round was made public on April 27.

DeFi United Outlines Technical Path To Make Kelp’s rsETH Whole

info@uweb3.io
-
0
DeFi United Outlines Technical Path To Make Kelp’s rsETH Whole

The coalition has secured ETH commitments to refill the bridge in tranches and will use Aave and Compound governance proposals to liquidate the exploiter’s remaining positions.

DeFi United, a coalition of decentralized finance (DeFi) ecosystem participants, on Tuesday published the technical implementation plan to restore the backing of Kelp DAO’s rsETH and recover roughly 107,000 tokens still controlled by the exploiter.

The exploit targeted rsETH’s LayerZero-powered bridge on the Unichain to Ethereum route, where a forged inbound packet was verified on the Ethereum side without a corresponding burn on Unichain. The attack released 116,500 rsETH from the Ethereum-side adapter, with proceeds distributed across multiple addresses and supplied as collateral on lending protocols.

Seven addresses associated with the exploiter currently hold active rsETH-backed positions on Aave and Compound, representing approximately 107,000 rsETH of the original 116,500 rsETH stolen.

Restoring Backing

DeFi United said it has secured the ETH commitments needed to restore rsETH’s backing, with final execution subject to governance approvals and definitive agreements. The committed ETH will be converted into rsETH in tranches and transferred to the bridge lockbox contract, allowing the bridge to resume normal operation.

The process targets rsETH’s nominal exchange ratio of 1.07 ETH. The coalition’s fundraising effort has progressively chipped away at the original 163,200 ETH shortfall.

LayerZero Labs on Tuesday pledged more than 10,000 ETH to the effort, donating 5,000 ETH directly to DeFi United and depositing an additional 5,000 ETH to strengthen Aave markets’ liquidity. The firm said it would also strategically deepen liquidity for Aave’s GHO stablecoin.

Clearing Exploiter’s Positions

Recovering the exploiter’s excess collateral requires governance proposals pertaining to Aave’s Ethereum and Arbitrum deployments. The execution involves a controlled liquidation sequence: the rsETH oracle price will be temporarily adjusted to enable efficient liquidation, generating a temporary deficit to be addressed in a subsequent step. Recovered rsETH will be transferred to a DeFi United multisig and redeemed for ETH through Kelp’s standard redemption procedure, with the resulting ETH applied to clear the Aave Ethereum and Arbitrum deficits.

The Aave clearing process aims to recover approximately 13,000 ETH. Compound will take a similar approach with DeFi United providing the liquidity, recovering an estimated 16,776 ETH.

WETH and rsETH reserves on Ethereum Core, Arbitrum, Base, Mantle, and Linea will remain frozen during the process. The final phase involves unpausing and unfreezing rsETH and ETH across affected instances and restoring loan-to-value ratios for any assets whose configurations were temporarily adjusted.

Risks

DeFi United flagged several execution risks. ETH deployment is contingent on finalizing agreements and governance approvals. Deliberate interference by the attacker could result in incomplete accrual of deficits, requiring additional liquidation steps to fully resolve the positions. Residual bridge risk also remains until the newly implemented LayerZero and Kelp security measures are validated in production.

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

AI, layoffs, and a new wave of employee lawsuits expose small businesses to litigation risks

info@uweb3.io
-
0
AI, layoffs, and a new wave of employee lawsuits expose small businesses to litigation risks

Early Investors Behind SpaceX Double Down on Three-Time Founder Tanner Hackett’s Latest Company, Bringing Total Funding to $106M

Counterpart, the specialty insurance company built for the AI era, today announced the close of its $50M Series C financing round led by Valor Equity Partners, with continued participation from existing investor Vy Capital. The round brings Counterpart’s total funding to $106 million.

“We are witnessing a generation of small business owners walking into the most litigious environment in American history without protection,” said Tanner Hackett, CEO and founder of Counterpart.Share

The announcement comes at a moment of unprecedented risk for American small businesses. The U.S. Equal Employment Opportunity Commission (EEOC) fielded nearly 270,000 inquiries in FY 2025 and recovered $528 million through pre-litigation enforcement alone, the highest such recovery in its 60-year history. Counterpart’s proprietary data confirms significant increases in Disability Discrimination, Race / Color Discrimination, and Sexual Harassment claims, which often exceed $100,000 per claim before a single attorney fee.

AI is only kindling the flame. In 2023, iTutorGroup’s AI automatically rejected applicants due to age, and the EEOC settled the case for $365,000. Three years later, 76% of small business owners use AI but only 14% have fully integrated it, according to Goldman Sachs’ 10,000 Small Businesses Voices survey. As small businesses move to fully integrate AI to stay competitive, claims will only accelerate.

Even as risks grow, millions of small businesses still lack access to the insurance built for these exposures: Professional Liability, Employment Practices Liability, and Directors & Officers. Fewer than 33% carry these policies, and according to Gallagher’s 2025 Survey of Small Business Owners, 89% are not confident they would be covered if something went wrong. The result is a dangerous illusion of safety.

“We are witnessing a generation of small business owners walking into the most litigious environment in American history without protection,” said Tanner Hackett, CEO and founder of Counterpart. “AI-related lawsuits are already being filed targeting hiring, content creation, and customer service practices. Companies cannot afford to stand still as AI advances, but every step forward brings new and often unseen risks. We built Counterpart because the legacy insurance market isn’t equipped to solve these types of challenges on their own, and the cost of inaction is increasing for all stakeholders.”

Counterpart has spent over half a decade building the data, technology, and underwriting expertise to price and manage these risks with a precision the traditional market cannot match, processing more than 250,000 applications and writing over 35,000 policies through a network of 2,800 brokers and four A rated carriers. In addition to boasting industry leading loss ratios, the company has helped businesses settle claims over 2x faster and with over 10% better outcomes than industry benchmarks. Counterpart reported nearly 175% premium growth in 2025.

“We look for companies that become the category, and Counterpart is doing exactly that,” said Jon Shulkin, Partner at Valor Equity Partners. “Counterpart saw the AI inflection coming years before anyone else and understood that the right technology, in the hands of the right insurance experts, could transform the experience for every party in the transaction. We have seen that each policy Counterpart writes and each claim it handles informs its models and improves the experience for the next customer.”

The new capital will support four areas of growth: launching new specialty insurance products; building industry-specific programs; expanding claims and risk management capabilities to help businesses address critical exposures; and collateralizing Counterpart Insurance Company, which will enable it to retain risk and further align incentives with partners across the value chain.

Microsoft says legacy banks are hitting a breaking point as AI takes over the heavy lifting

info@uweb3.io
-
0
Microsoft says legacy banks are hitting a breaking point as AI takes over the heavy lifting

Artificial intelligence is pushing financial systems toward a model where machines execute transactions at scale, raising new challenges around control, oversight and infrastructure, said Microsoft and Chainalysis executives.

Bill Borden, corporate vice president of worldwide financial services at Microsoft, said Tuesday that legacy systems will face increasing pressure as transaction demands grow more complex. The tipping point comes when “latency, scale, complexity are starting to impact your ability to compete,” forcing firms to rethink how their systems are built, he said at an event hosted by Alchemy in New York City.

While automation has long been part of finance, Borden said the focus is now shifting from capability to trust. “It’s not about, can technology automate … executing a hedging strategy — that can be done. The question is: can you trust it? Can you audit and control?” he said.

Microsoft, which offers its own AI assistant in many of its products, is developing tools to manage that transition, including systems that assign identities and permissions to AI agents and track their actions. In regulated environments, Borden said firms must be able to show “what controlled it” and whether a system “followed the policy” when decisions are made without direct human input.

Jonathan Levin, co-founder and CEO of Chainalysis, said the crypto sector already offers a working model of automated finance. Blockchain networks process large volumes of transactions through smart contracts and software-driven wallets, creating what he described as an environment similar to agent-based systems. “We’ve been preparing for these moments way before other parts of the financial services industry,” Levin said.

That experience extends to risk management. Levin pointed to efforts to track illicit funds across “thousands of different wallets” as an example of the kind of monitoring needed in a system where transactions happen at scale without direct human input.

Looking ahead, both executives expect a mix of systems to coexist. Levin said “the majority of commerce in 10 years time will be settled on public infrastructure,” while Borden pointed to a more integrated approach linking public blockchains, private networks and existing rails.

“I do think traditional rails will continue to exist,” Borden said, with software acting as the layer that connects them.

This New Bitcoin-Aligned Stablecoin Eyes $100T B2B Finance

info@uweb3.io
-
0
This New Bitcoin-Aligned Stablecoin Eyes $100T B2B Finance

What happened? Paystand is launching a Bitcoin-aligned stablecoin aimed at enterprise finance, betting that the next phase of digital-dollar adoption will move beyond crypto trading into accounts receivable, accounts payable, payroll and treasury operations.

The new token, called USDb, was announced at Bitcoin Las Vegas and is designed as a dollar-backed settlement asset for business payments rather than retail transfers or exchange liquidity. Paystand said the stablecoin will be backed 1:1 by U.S. dollar reserves and initially rolled out across its own business-payments network.

Why does it matter? The launch marks a new attempt to bring stablecoins into the operating systems of corporate finance.

Paystand says its network has processed more than $20 billion in payment volume and serves more than one million businesses across North America and Latin America.

The company also acquired Bitwage in November 2025, giving it cross-border payroll and workforce-payment reach across nearly 200 countries.

That matters because most stablecoin activity still sits closer to crypto markets than corporate workflows.

Stablecoin transaction volume reached $33 trillion in 2025, up 72% from the previous year, according to Artemis Analytics data reported by Bloomberg. USDC accounted for $18.3 trillion of that volume, while Tether’s USDT handled $13.3 trillion.

But transaction volume can overstate real-world payments adoption.

Much of the activity reflects trading, transfers between exchanges, DeFi transactions and market-making flows. The enterprise opportunity is different: using tokenized dollars to reduce settlement delays, cross-border friction and liquidity costs inside business operations.

USDb aims to fill that gap.

Paystand is positioning the token as a commercial settlement layer for CFOs, not another consumer-facing stablecoin. It is built for AR, AP, treasury movement and cross-border payroll, with the aim of integrating digital-dollar settlement into finance systems companies already use.

The article “This New Bitcoin-Aligned Stablecoin Eyes $100T B2B Finance” was first published on AlexaBlockchain. Read the complete article here: https://alexablockchain.com/this-new-bitcoin-aligned-stablecoin-eyes-100t-b2b-finance/

Read Also: MoneyGram, Pairpoint and eToro Back Midnight’s Privacy Blockchain Before Mainnet

Disclaimer: The information provided on AlexaBlockchain is for informational purposes only and does not constitute financial advice. Read complete disclaimer here.

Image Credits: Shutterstock, Canva, Wiki Commons

Bitcoin Bulls Should Be Wary Of This Level Or Investors Risk Getting Trapped

info@uweb3.io
-
0
Bitcoin Bulls Should Be Wary Of This Level Or Investors Risk Getting Trapped

Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

A crypto analyst has sounded the alarm over a critical breakout level that could trap many Bitcoin (BTC) bulls. The analyst has predicted that the BTC price could extend its ongoing recovery and potentially push toward the $80,000 level in the short term. However, he cautioned that this move could attract late buyers who mistake it for a sustained uptrend, only for momentum to fade sharply, leaving them trapped in losing positions.

Bitcoin Bulls Face Key Test At $79,300

Crypto analyst @Sherlockwhale warned in a post on X that Bitcoin may be approaching a key area where traders could misread the short-term upward move as bullish strength or a sustained breakout. According to the analyst, current market conditions could trap participants who expect a prolonged bull trend, as price action may end up forming a lower high instead of a sustained move upward.

The analyst explained that while many traders are currently expecting Bitcoin to confirm a higher high, he believes the structure is more similar to previous rejection zones around  $107,000 and $97,000. In those instances, the BTC price failed to sustain an upward move, forming lower highs that trapped late buyers as sellers stepped in aggressively to take profits.

Bitcoin
Source: Chart from @Sherlockwhale on X

@Sherlockwhale suggests that a similar situation could develop again if Bitcoin approaches the critical level around $79,300. In his view, this area could serve as a turning point where bulls may get caught and possibly become exit liquidity. He outlined two potential bearish outlooks based on Bitcoin’s weekly chart structure. 

In the first scenario, he predicts that if Bitcoin closes the week below $79,300, he would consider that a signal to take a short position. In that case, he targets a sharp reversal toward $60,000, with invalidation above the current weekly wick.

The second scenario assumes Bitcoin could move higher first before reversing to the downside. In that case, @Sherlockwhale expects the price to rally toward its next major resistance around $83,400, aligning with the 0.618 Fibonacci retracement level on the chart. This area is also seen as a potential liquidity zone where buyers could get caught before a major downturn begins. Even in this case, the analyst’s projected bearish target remains $60,000, likely viewing this level as a potential bear market bottom. 

BTC To See More Upside Before Another Crash

Sharing similar bearish sentiment, market analyst Michael van de Poppe has predicted that Bitcoin could see another strong upside move, extending its ongoing rebound, before a steeper crash. According to the analyst, BTC is currently holding critical levels around $76,000 after rallying above $79,000 just a day before. 

Poppe notes that the cryptocurrency is still preparing for more upside and could be heading toward its next resistance levels between $85,000 and $88,000 by May. He predicts that once the price reaches this level, it could reverse sharply, potentially declining toward $56,000.  

Bitcoin
BTC trading at $76,636 on the 1D chart | Source: BTCUSDT on Tradingview.com

Featured image from Getty Images, chart from Tradingview.com

Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.

1...405406407...1,320Page 406 of 1,320