Crypto World
Quantum computing could break Bitcoin sooner, says Google
Network News
GOOGLE SAYS BREAKING BITCOIN IS EASIER THAN PREVIOUSLY THOUGHT: Breaking the Bitcoin blockchain with quantum computers may not be as difficult as once thought, and Bitcoin’s Taproot technology, which enables more efficient, private transactions, may be partly to blame, Google’s Quantum AI team said in a blog post and newly published whitepaper. The team said the computing power required to break Bitcoin’s security may be far lower than previously assumed, raising fresh questions about how soon quantum threats could become a reality.In a new whitepaper, researchers found that cracking the cryptography used by Bitcoin and Ethereum could require fewer than 500,000 physical quantum bits, or qubits, well below the “millions” often cited in recent years. Google has previously pointed to 2029 as a potential milestone for useful quantum systems, saying migration needs to come before that, making the paper’s finding that attacks may require less computing power more significant. Quantum computers use qubits instead of traditional bits and can solve certain problems much faster than today’s machines. One of those problems is breaking the type of encryption that protects crypto wallets.Google said it designed two potential attack methods, each requiring roughly 1,200 to 1,450 high-quality qubits. That is a fraction of earlier estimates and suggests the gap between current technology and a viable attack may be smaller than investors think. The research also outlines how such an attack could work in practice. Rather than targeting old wallets, a quantum attacker could go after transactions in real time. When someone sends bitcoin, a piece of data called a public key is briefly revealed. A fast enough quantum computer could use that information to calculate the private key and redirect the funds. — Sam Reynolds Read more.
OPENAI RAISES RECORD $122 BILLION: Artificial intelligence giant OpenAI has closed $122 billion in committed capital at an $852 billion post-money valuation, a round that dwarfs anything raised in private markets and cements the company as the most valuable startup in history by a wide margin. The funding was anchored by Amazon, Nvidia, and SoftBank, with continued participation from Microsoft. SoftBank co-led alongside a16z, D.E. Shaw Ventures, MGX, TPG, and accounts advised by T. Rowe Price. The investor list reads like a who’s who of global capital — BlackRock, Blackstone, Fidelity, Sequoia, Temasek, Coatue, and ARK Invest all participated. For the first time, OpenAI opened participation to individual investors through bank channels, raising over $3 billion from that tranche alone. OpenAI said it is generating $2 billion in revenue per month, up from $1 billion per quarter at the end of 2024. ChatGPT has more than 900 million weekly active users and over 50 million subscribers. The company claims 6x the monthly web visits and mobile sessions of the next largest AI app, and 4x the total time spent of all other AI apps combined. — Shaurya Malwa Read more.
HOW BITCOIN, ETHEREUM, AND SOLANA ARE PREPARING FOR Q-DAY: As quantum computing edges closer to practical reality, the crypto industry is beginning to confront a question it has long deferred: what happens if the cryptography underpinning trillions of dollars in digital assets no longer holds? The answers, so far, are anything but uniform. Across many of the most well-known ecosystems like Bitcoin, Ethereum, and Solana, responses are diverging along familiar lines: what to do on social consensus and technical iteration, and community members are split between caution and acceleration. Quantum computing is a fundamentally different approach to computation that uses the principles of quantum mechanics rather than classical physics. Instead of traditional bits that are either 0 or 1, quantum computers use “qubits,” which can exist in multiple states at once, a property known as superposition, allowing them to process many possibilities simultaneously. Combined with another feature called entanglement, this enables quantum machines to solve certain complex problems far more efficiently than classical computers, particularly tasks like factoring large numbers that underpin modern encryption. How threatening is quantum computing? Consider this: Quantum computers can solve extremely complex problems within seconds, whereas ‘Supercomputers,’ the most powerful computing machines available today, would take thousands of years for the same problems, according to IBM. And that’s why the threats to cryptographic networks stemming from quantum computing are concerning. And even Google, developer of Willow, a quantum supercomputer, is setting a 2029 deadline to migrate its authentication services to post-quantum cryptography, citing progress in the technology. — Margaux Nijkerk Read more.
BASE TEAM RELEASES 2026 ROADMAP: Base, the layer-2 network from Coinbase (COIN), is doubling down on its push to build what it calls a “global onchain economy,” outlining a 2026 strategy centered on markets, payments and developers. Base is one of the most widely used layer-2 networks in the Ethereum ecosystem, having opened to public use in August 2023. It was initially built using Optimism’s OP Stack as part of the broader “Superchain” ecosystem, though the project has since signaled plans to differentiate its infrastructure as it scales. In February, the Coinbase team said the chain will increasingly rely on its own, in-house code. Layer-2 blockchains are built on top of Ethereum and aim to increase speed and lower costs by processing transactions themselves, while still relying on Ethereum for security. The model has become a key part of Ethereum’s scaling strategy, enabling cheaper and faster transactions without moving activity entirely off the network. More recently, however, some Ethereum leaders, including co-founder Vitalik Buterin, have signaled a shift in focus toward scaling the base layer itself, leaving open questions about how layer-2 networks will fit into Ethereum’s evolving roadmap. For 2026, Base said it will focus on three areas: expanding onchain markets, scaling stablecoin-based payments and growing its developer ecosystem — a push that comes as onchain trading venues and stablecoins see rising adoption among institutional players. — Margaux Nijkerk Read more.
In Other News
- Bitcoin’s reputation has historically been built on extreme boom-and-bust cycles, with steep drawdowns of up to 90% following all-time highs. This cycle, however, the decline has been closer to 50%, a shift that analysts said reflects the maturation of BTC as an asset class. “Bitcoin’s drawdowns compressing to about 50% is a sign of a maturing market structure,” AdLunam co-founder and market analyst Jason Fernandes told CoinDesk. “As liquidity deepens and institutional participation increases, volatility naturally compresses on both the upside and the downside,” he added, saying that “at that point, the narrative shifts from questioning its legitimacy to optimizing allocation.” Fernandes’ comments are in response to Fidelity Digital Assets analyst Zack Wainwright’s X post Tuesday, in which he noted growth is becoming “less impulsive,” with a reduced probability of extreme downside events as bitcoin matures. — Olivier Acuna Read more.
- In Jack Dorsey’s view of the world, the job most at risk from the AI revolution is the middle manager. Dorsey argues in a new essay, “From Hierarchy to Intelligence,” published with Roelof Botha, Sequoia Capital’s managing partner, an investor in Block, that his company’s decision to cut approximately 4,000 of its more than 10,000 employees was not a cost reduction but a permanent restructuring to replace middle managers with AI. Corporate hierarchy, the essay argues, has always existed to solve one problem: routing information through organizations too large for any single person to oversee. Managers aggregate context from below, act as messengers from above, and maintain alignment across teams. AI can now perform those functions continuously and at scale, the authors argue, making the messenger redundant. In place of management layers, Dorsey and Botha proposes two AI-driven “world models.” One aggregates internal data from code, decisions, workflows, and performance metrics to create a continuously updated picture of company operations, replacing the context that managers traditionally carried. The other maps customer and merchant behavior using transaction data from Cash App and Square. — Sam Reynolds Read more.
Regulatory and Policy
- Australia passed legislation creating its first comprehensive regulatory framework for digital assets that requires crypto exchanges and custody providers to obtain financial services licenses. The Corporations Amendment (Digital Assets Framework) Bill 2025 cleared both houses on April 1, bringing firms that hold digital assets on behalf of customers into the existing Australian Financial Services Licence regime. Australia’s bill creates two new regulated categories under the Corporations Act: digital asset platforms, which hold crypto on behalf of users, and tokenized custody platforms, which hold real-world assets and issue a corresponding digital tokens. Operators of both must obtain an Australian Financial Services License from ASIC, bringing them under the same core rules as brokers or fund managers, including requirements to safeguard client assets, provide standardized disclosures, avoid misleading conduct, and maintain dispute resolution and compensation systems. Instead of regulating crypto itself, the law targets the companies in the middle that control customer funds, aiming to reduce risks like commingling, insolvency, and misuse of assets that have caused losses in past crypto failures. — Sam Reynolds Read more.
- Hong Kong has missed its own March timeline for HKD stablecoin licensing, with the Hong Kong Monetary Authority (HKMA) yet to approve any issuers despite public signals that the rollout would begin last month. At Consensus Hong Kong in February, Financial Secretary Paul Chan Mo-po said licenses would begin to be issued in March as part of the city’s push to position itself as a regulated hub for stablecoins and tokenized finance. The lack of approvals so far pushes that timeline into April and raises questions about how quickly the framework will move from policy to implementation. “In giving our licenses, we ensure that licensees have novel use cases, a credible and sustainable business model and strong regulatory compliance capabilities,” he said at CoinDesk’s Hong Kong conference.— Sam Reynolds Read more.
Calendar
- Mar. 30-Apr. 2, 2026: EthCC, Cannes
- Apr.15-16, 2026: Paris Blockchain Week, Paris
- May 5-7, 2026: Consensus, Miami
- Sept. 29-Oct.1, 2026: Korea Blockchain Week, Seoul
- Oct. 7-8, 2026: Token2049, Singapore
- Nov. 3-6, 2026: Devcon, Mumbai
- Nov. 15-17, 2026: Solana Breakpoint, London
Coinbase is folding regulated prediction markets into its “everything exchange” vision, using The Clearing Company to clear on‑chain event contracts beside crypto and stocks.
Summary
- Coinbase is moving prediction markets from a Kalshi integration toward an on‑chain, in‑house stack after acquiring The Clearing Company, aiming to keep them inside a regulated perimeter.
- In Europe, financial‑underlying prediction markets fall under MiFID while politics and sports are pushed into fragmented national gambling regimes, leaving most current on‑chain volume in regulatory limbo.
- Coinbase is already experimenting with cross‑margining via perpetual futures and sees long‑term scope to extend collateral efficiency across prediction markets, crypto, and tokenized assets on a single venue.
Coinbase’s push to become an “everything exchange” will increasingly run through regulated prediction markets rather than just spot crypto, according to Côme Prost‑Boucle, the exchange’s head of international listings, speaking with crypto.news at ETHGlobal Cannes on March 31.
For Prost‑Boucle, prediction markets are not a novelty bolt‑on. They sit at the core of Coinbase’s plan to become what he calls an “everything exchange.” “The whole strategy is pretty simple,” he told crypto.news.
“We want to build the everything exchange with Coinbase, meaning that we want to bring under one regulated umbrella all of the asset classes that you can imagine and offer this to both our retail customers and our institutional customers.”
Coinbase leading the way to become an ‘Everything Exchange’
That umbrella now stretches beyond spot crypto into derivatives, options, tokenized stocks and equities, token sales and, crucially, event‑based contracts that let users trade on future outcomes. “We have this whole breadth of different products that we’re bringing into one umbrella, which is Coinbase,” he said. “Our goal is to push this to as many users as possible across the world, and the reaction has been pretty tremendous so far.”
Coinbase’s debut in prediction markets was deliberately conservative. The initial launch in the U.S. leaned on Kalshi, the CFTC‑regulated event‑contract venue, giving the product an immediate regulatory backbone but also clear constraints on geography and design.
“The first iteration of the product is available in the US and in a couple of regions, but for instance, it’s not available in Europe because of lack of regulatory clarity,” Prost‑Boucle said. That version effectively pipes Kalshi’s markets into the Coinbase interface, letting users trade small‑ticket contracts on elections, sports, macro data and other real‑world events while staying inside a U.S. event‑contract framework.
The second phase is more aggressive. In December, Coinbase agreed to acquire The Clearing Company, a specialist prediction‑market clearing startup with roots in the existing event‑contract ecosystem.
Prost‑Boucle referred to it in the interview as “a company called The Clearing House,” but the strategic intent is clear. “The goal is for us to bring these capacities internally so that we can develop this product on chain and we can develop with the DNA that we have to bring all asset classes on chain,” he said. In effect, Coinbase is moving from renting regulated rails to owning the clearing and risk stack, and then pushing more of the lifecycle on‑chain while staying within the event‑contract perimeter. That stands in contrast to crypto‑native venues such as Polymarket, which prioritizes unconstrained on‑chain liquidity first and only later began to grapple with regulatory structure.
Prediction markets dominate conversation at ETHGlobal
If prediction markets are to sit alongside crypto, derivatives and tokenized stocks in a single app, collateral efficiency will determine whether users actually route meaningful size through Coinbase. Here, Prost‑Boucle says institutional desks are already applying pressure. “That’s also something that institutional clients have been pushing for,” he noted when asked about cross‑margining prediction markets with other Coinbase products. “We’re currently doing cross‑margining for our perpetual futures product, and that’s something that our institutional clients have been craving,” he added, pointing to demand for “always‑on exposure possibilities, weekend hedging, all of this that perpetual futures have as internal features.” The logical goal is to have a single collateral pool backing BTC perpetuals, tokenized equity and a portfolio of geopolitical or macro event contracts, rather than trapping capital in isolated silos across venues. “At the moment we’re working on this product,” he said of cross‑margining, “but I think that’s a good vision for us in the longer term—to have cross‑margining across the different asset classes, I guess.”
The main structural obstacle to that vision is Europe. “Prediction markets in the EU are pretty difficult to apprehend because there’s no unified regulatory framework,” Prost‑Boucle said. “It all depends on what you have as an underlying asset.” He draws a sharp line that mirrors emerging legal commentary: a contract on the future price of Bitcoin is treated as a financial derivative under MiFID, while a contract on an election or football match is pushed into gambling. “If the contract lies on a financial underlying asset, that would be regulated by MiFID,” he explained. “But all of the other classes, where currently all of the volumes are—on politics, on sports, this would be regulated under gambling laws in Europe.”
That split leaves most of today’s on‑chain volume—heavily skewed toward politics and sports—in regulatory limbo from the perspective of a regulated exchange. Any operator that wants to offer political or sports markets across the bloc has to navigate a patchwork of national gambling regimes, each with its own licensing, consumer rules and, in some cases, state monopolies. “It means you would have to go for every single European gambling law, because there is no unified regulatory framework,” Prost‑Boucle said. “These laws are pretty national, they’re quite country‑specific and they’re quite hard to get.” Despite that, he is not writing off the region. “I guess we’re still hopeful that at some point we’re going to have regulatory clarity on prediction markets and a better structure in Europe that enables this type of contract to flourish as well,” he said.
Beyond trading revenues, Coinbase clearly sees prediction markets as an information layer that competes with polling, research, and even traditional media. Prost‑Boucle points to cases in the U.S. where broadcasters are already embedding live market odds, such as CNBC, CNN, the Dow Jones and other media recently integrating Polymarket odds into the ‘traditional’ newscycle.
That, in turn, brings the problem of truth into focus. Once markets start pricing geopolitics, conflicts, and leadership changes, disputes over what actually happened can become payout disputes. That means oracles used to resolve contracts may be facing increasing scrutiny from not only bettors, but also regulators.
Prost‑Boucle argues that most of the damage begins with poor contract design. “It’s crucial when you enter a contract to look at what the event criteria are,” he said. “Obviously you want to diversify sources of truth and have kind of fixed criteria to make sure there is no ambiguity when an event like this happens,” he added. Asked whether AI agents could help by aggregating across outlets and delivering a consolidated verdict, he is open but cautious. “Potentially, AI could be helping with sorting out across different sources‑of‑truth venues and making sure that we have a consolidated view and a fixed view that is not biased by any specific media or even a group of people,” he said.
For now, Coinbase’s approach is less about chasing the wildest version of prediction markets and more about proving they can live inside the same rule‑set as everything else on the platform: keep them in a regulated perimeter, pull clearing and risk in‑house via The Clearing Company, and wire the whole thing into a broader multi‑asset venue where collateral actually earns its keep across products. As Brian Armstrong has put it in other contexts, Coinbase wants to be “the most trusted bridge” into the crypto economy, and in that frame, everything else—from MiFID hair‑splitting in Brussels to the next generation of AI‑driven oracles—is just another set of constraints to engineer around, not a reason to sit out a market.
CoinShares, a European-based digital asset manager, is slated to make its US public markets debut today following the completion of a special purpose acquisition company (SPAC) merger, highlighting the crypto industry’s deepening ties with public markets.
The company announced Wednesday that it had finalized a previously announced business combination with Vine Hill Capital Investment Corp., resulting in the formation of a new holding entity, CoinShares PLC. The combined company begins trading on the Nasdaq on Wednesday under the ticker symbol CSHR.
The transaction, first unveiled in September, values CoinShares at approximately $1.2 billion and includes a $50 million capital commitment from institutional investors.
Although the Nasdaq debut marks CoinShares’ entry into US public markets, the company was already publicly traded in Europe prior to the listing.
A US listing aims to attract institutional capital, wider analyst coverage and increased visibility, while positioning CoinShares to expand its footprint in the world’s largest financial market. The move also comes as the regulatory backdrop for digital assets in the United States continues to evolve.
CoinShares manages more than $6 billion in assets and is one of Europe’s largest crypto-focused investment firms. It is best known for its crypto exchange-traded products (ETPs), which are listed on European exchanges.
A tougher backdrop for crypto stocks
The backdrop for digital asset companies has shifted dramatically since September, when CoinShares’ SPAC deal was first announced.
The exchange-traded fund issuer’s CoinShares Bitcoin Mining ETF (WGMI) is down more than 22% in the last six months, Yahoo Finance data shows.
The crypto market has since lost more than half its value, following a broad correction in digital asset prices, declining trading volumes and the fallout from the Oct. 10 crypto liquidation event that triggered widespread deleveraging, alongside a more volatile environment for capital raising and investors.
Crypto-linked equities have been among the hardest hit. Companies such as Coinbase, Gemini and Figure Technologies are down sharply this year, while Circle has bucked the trend amid continued growth in stablecoins.
However, analysts at Bernstein don’t expect the downturn to persist. In a recent note, they said crypto-related stocks could be nearing a bottom heading into first-quarter earnings, which are widely expected to reflect weak performance.
Related: Circle plunged on CLARITY Act fears, but fundamentals unchanged — Bernstein
At Kaiko’s Cannes conference, S&P DJI and Kaiko unveiled plans to tokenize the iBoxx U.S. Treasury index on Canton, turning it into programmable on-chain IP.
Summary
- iBoxx U.S. Treasuries is being brought natively on Canton alongside DTCC’s on-chain Treasuries to support index-linked product issuance on the same infrastructure.
- S&P will distribute the index as a smart contract token embedding full index data, IP rights, licensing terms, fees and access controls.
- The model treats index data “like a financial asset,” enabling traceability, automated fee collection and reusable, scalable licensing on-chain.
At the Agora Kaiko conference in Cannes on March 31, S&P Dow Jones Indices’ Chief Product and Operations Officer Cameron Drinkwater and Kaiko CEO Ambre Soubiran unveiled a partnership to tokenize one of S&P’s flagship fixed-income benchmarks, the iBoxx U.S. Treasury index, on the Canton network, turning the index itself into a programmable on-chain IP product rather than a simple price feed.
New Canton, Kaiko and S&P DGI partnership announced
Kaiko CEO Ambre Soubiran announced that “Kaiko and S&P DGI, we’ve been partnering now in tokenizing one of the biggest S&P benchmarks, the iBoxx index, and bringing that onto the Canton Network.” The move follows DTCC’s decision to bring U.S. Treasuries natively onto Canton (CC), which Drinkwater described as “a natural opportunity for us to bring the iBoxx Treasury index also on Canton to give product developers or counterparties a tool to use with the physical underlying also on that chain.”
Soubiran emphasized this is “not just publishing the price of the benchmark on the network.” Instead, S&P is “actually creating a smart contract token that contains all of the index data,” so that clients receive “a smart contract containing the index data but also explicitly having licensing and fees and access control all embedded into a smart contract.” She framed it as “more about a distribution play rather than a data play,” delivering the full index product on-chain.
Drinkwater said choosing iBoxx was a “total no-brainer” because with DTCC putting U.S. Treasuries on Canton, “you have the underlying” and “a very active kind of treasury institutional trade landscape on Canton” plus “real demand for the iBoxx Treasury index to be used as a underlying for product issuance on the Canton chain.”
On-chain IP and data-as-asset
For S&P, tokenizing indices as full IP products changes how licensing and economics work. Drinkwater argued that “one of the great advantages for an IP issuer like ourselves on chain is we actually have better auditability, visibility in how IP is being used, reporting on that use case and… instantaneous reporting and potentially commercial exchange based on that smart contract.” In traditional markets, he noted, S&P is “dependent on delayed reporting on volumes,” often disputed, followed by “multiple months on contract settlement,” whereas on chain “the whole timeline pulls in quite considerably” with “far less opportunity for dispute.”
Soubiran linked this to a broader shift: “the more we bring capital markets applications on chain, the more we bring data on chain, especially private and IP protected data, the more we need to treat data like a financial asset.” Blockchain infrastructure, she said, enables “traceability of data and treat data like a financial asset and trace where that data goes,” which is “great from a IP protection standpoint” and for “programmatically” managing monetization of IP in financial products.
Drawing on Kaiko’s own index business, she noted that many index fee arrangements are tied to AUM and turnover, with end-of-year reconciliations still “quite heavily manual.” Moving indices on-chain allows firms to “on chain verify what is the AUM related to the financial product that is linked to your index or your benchmark” and enable “daily fee collection based on daily turnover.” It is, she said, “not necessarily a novel product, it’s just a novel way of distributing” existing benchmarks.
Composability, evergreen contracts and Canton
Both speakers highlighted composability as a key benefit of this design. “The idea of tokenizing an index is for product issuers… to consume that index product natively on chain and wrap it into a index-linked financial product,” Soubiran explained, calling the application of composability to data products “extremely new and powerful.”
Drinkwater described the structure as layered: “you can think of the token being the index and then the smart contract being wrapped around it and that’s the use case, the use case specific terms and conditions, audit rights, etc.” That wrapper “can be tailored to whatever use case clients come to us for, but then it’s repeatedly usable. It’s evergreen. It’s on chain.” Compared with today’s model, where “clients have to come to us for every use case, it’s a new schedule on their MSA,” he said this offers “a very frictionless process of getting new product issued on chain, massively speeding up timelines,” and a “reusable infrastructure that really benefits all parties.”
On why Canton matters, Drinkwater pointed to its ability to straddle public and private workflows. On fully public chains like Ethereum, “that reporting is going to be public,” which does not fit “a lot of our use cases” such as “private exchange swaps… between institutions and they don’t want that public.” Canton’s setup, he said, lets reporting be “private when it needs to be private, public where it can be public, but back to us nonetheless,” unifying reporting across use cases in a way that “in TradFi is not the case.”
Soubiran framed the broader aim as servicing “almost a new addressable market that is your existing clients moving to an infrastructure that is programmatic and a little bit more disintermediated,” stressing that “a lot of great things exist in our current financial system,” but that the opportunity lies in “making things more automated… more programmatic in the transfer of information, the transfer of data.”
S&P’s broader digital roadmap
Drinkwater placed the Kaiko and Canton partnership within S&P’s longer digital asset strategy. He recalled that SPY “was not SPY for the first decade of its life, but it flag planted,” and said S&P understands “the power of moving first and establishing real use cases in new technology.” With a brand “known and trusted by institutions and retail alike,” S&P wants “to move first and early when we have conviction in new products and new technologies because we need our brand to be firmly planted there as an established entity.”
Over the last year, he said, S&P has “very selectively” chosen “high quality players as partners and putting IP on chain where we saw very discrete and tangible use cases,” citing the on-chain S&P 500 token with Centrifuge and the Digital Markets 50 index with Genari that bundles blockchain-exposed equities and cryptocurrencies in a structure “hard to replicate in TradFi.” Even so, he signaled he is “most excited about the innovation that we’re pushing today” with tokens wrapped in smart contracts that are “tailored to use cases, but extensible and evergreen on chain,” because this “unlocks so many use cases and scalability of our IP.”
The US Senate could soon hear testimony to confirm financier Kevin Warsh as the new chair of the Federal Reserve.
Warsh, who previously served on the Fed’s Board of Governors from 2006 to 2011, has criticized the central bank’s policies under current chair Jerome Powell. Warsh has called for “regime change” and lower interest rates.
Regarding crypto, Warsh has a somewhat nuanced approach. He hails Bitcoin as a sustainable store of value, but claims it doesn’t function as money.
Lower interest rates and a fairly open attitude toward crypto could be good news for digital asset prices, which most investors perceive as risk-on. But even if Warsh passes his nomination, there’s no guarantee he’ll affect the changes expected.
Warsh wants to lower Fed interest rates, but can he?
Warsh, a graduate of Stanford and Harvard, started his career at Morgan Stanley, where he eventually became a VP and executive director. He then served as an executive secretary of the White House National Economic Council under President George W. Bush.
Bush nominated him to the Board of Governors of the Federal Reserve in 2006, where his hawkish views on inflation often differed from his colleagues. He was critical of the aggressive use of its balance sheet, which he said led to a period of “monetary dominance” that artificially depressed rates.
Some of this appears to have changed in recent years. In a November 2025 op-ed for the Wall Street Journal, Warsh criticized Powell’s leadership at the Fed, claiming that “inflation is a choice, and the Fed’s track record under Chairman Jerome Powell is one of unwise choices.”
He said “credit on Main Street is too tight” and that the Fed’s balance sheet, which is “bloated” due to past crisis-management efforts, “can be reduced significantly.”
“That largesse can be redeployed in the form of lower interest rates to support households and small and medium-size businesses,” he said.
Plans for cutting interest rates come at an economically fraught time. The US and Israel’s joint attack on Iran, which could soon escalate into an invasion if US President Donald Trump so decides, has wreaked havoc on oil prices.
Increasing oil prices had a direct effect on the core inflation metrics the Federal Reserve uses when considering rate changes. This could put the damper on any plans for rate cuts, at least certainly under Powell.
Warsh told Barron’s that the “core theory of inflation that the Fed is using” is “mistaken.” He said that “we need to fundamentally rethink macro, which is a fundamental rethink of the core economic models that the Fed is using.”
In his accounting, rising wages and commodity prices are not to blame for inflation. Rather, “at the core, I think inflation comes about when the government spends too much and prints too much.”
Returning to monetarism, as well as dumping some of the debt held by the Federal Reserve, could help address inflation concerns, in his view.
Bankers and former Bush administration officials have congratulated Warsh on the nomination. Former US Secretary of State Condoleezza Rice said the Fed would “benefit from his steady, principled leadership.”
“He understands the central bank’s key role for the United States and our allies around the world,” she said.
Bank of England Governor Andrew Bailey has also welcomed Warsh’s nomination. He said that he knew both Powell and Warsh well, and that “They’re both very qualified.”
Qualifications aside, Warsh may find it difficult to enact his preferred policies.
Roger W. Ferguson Jr., the Steven A. Tananbaum Distinguished Fellow for International Economics at the Council on Foreign Relations (CFR), and Maximilian Hippold, a research associate for international economics at CFR, wrote that Warsh won’t revolutionize the Fed.
They said that the chair alone does not make inflation rate decisions. “They are determined by the Federal Open Market Committee (FOMC), a twelve-member body that includes seven Fed governors and five regional Fed presidents.” The chair can’t change policy without convincing a majority.
Others argue that Warsh’s interest in lowering interest rates is a recent pivot and may not be a core conviction around which he will focus central bank policy. A December 2025 analysis from Deutsche Bank noted Warsh’s response to the global financial crisis in 2008, when he was a Governor at the Fed.
“His views while he was a Governor around the GFC [global financial crisis] at times skewed more hawkish than his colleagues,” the report read. “Although Warsh has argued for lower rates recently, we do not view him as structurally dovish.”
They further questioned Warsh’s plans to lower interest rates and cut assets on the Fed balance sheet. “This trade-off would only be feasible if regulatory changes are made that lower banks’ demand for reserves. While several Fed officials have made this argument recently, including Vice Chair of Supervision Bowman and Governor Miran, it is not obvious these changes are realistic in the near-term.”
“The chair has just one vote amongst a particularly divided committee.”
Warsh’s nomination and Fed independence
Commentators have also drawn attention to Warsh’s connection to the Trump administration. Warsh’s father-in-law, Ronald Lauder, is a classmate of Trump and a major donor to his political campaigns.
His relatively recent opinions on low interest rates also make him uniquely suited to the role, at least in Trump’s eyes. Ferguson and Hippold wrote, “Trump believes he has found a successor who will align with his economic priorities in Warsh.”
The president has long bemoaned Fed officials who supposedly promise rate cuts, but then raise them once in office. “It’s too bad, sort of disloyalty, but they got to do what they think is right,” he said in a speech at Davos last year.
Trump has long pushed for lower interest rates, claiming that they are needed to spur his economic development plans. Powell’s refusal to acquiesce to the White House’s request led to political scandal.
Last year, the Department of Justice (DoJ) opened a criminal investigation into Powell, alleging that he misappropriated billions of dollars for new offices for the Federal Reserve.
A federal judge recently quashed the DoJ’s subpoenas in the case. Judge James Boasberg wrote in a memorandum opinion, “A mountain of evidence suggests that the dominant purpose is to harass Powell to pressure him to lower rates. For years, the President has publicly targeted Powell because the Fed is not delivering the low rates that Trump demands.”
Regarding his pick, Trump said in a January press event in the Oval Office that it would be “inappropriate” to ask Warsh about his stance on interest rates. “I want to keep it nice and pure, but he certainly wants to cut rates, I’ve been watching him for a long time.”
Just a couple of weeks later, in an interview with NBC, Trump said Warsh understands that he wants to lower interest rates. “But I think he wants to anyway. If he came in and said ‘I want to raise them’ […] he would not have gotten the job.”
But Warsh hasn’t “gotten the job,” at least not yet. He will face tough questioning from Democrats on the Senate Banking Committee, possibly as soon as April 13.
In a letter lambasting Warsh’s role in bailing out banks in 2008, Senator Elizabeth Warren, who serves on the committee, said, “I have no doubt that you will serve as a rubber stamp on President Trump’s Wall Street First agenda.”
Warren expected written responses to this, and to Warsh’s opinion about Trump’s “witch hunts” against Powell and Fed Governor Lisa Cook, by April 2.
Magazine: Nobody knows if quantum secure cryptography will even work
Hong Kong’s first stablecoin licences failed to materialize by the expected end of March target, with the HKMA saying only that it is still advancing the process.
Hong Kong has missed an earlier end of March target for awarding its first stablecoin licences, with the Hong Kong Monetary Authority saying only that the licensing process is advancing and decisions will be announced shortly.
A spokesperson for the Hong Kong Monetary Authority (HKMA) told Cointelegraph that the HKMA is “actively taking forward the licensing matter and will announce further details in due course,” without offering a revised timetable.
The HKMA’s public register still showed no licensed stablecoin issuers at the time of writing.
The March timetable had been set out earlier by HKMA chief executive Eddie Yue, who reportedly told lawmakers in February that only a very small number of issuers would be approved initially and that reviews were focusing on use cases, risk management, anti-money laundering controls and backing assets.
HKMA misses March stablecoin target
Earlier reports indicated that global banking giants HSBC and a Standard Chartered-backed venture were among the frontrunners to receive approvals in the initial cohort, although the HKMA did not confirm the names of any successful applicants.
Hong Kong’s caution is partly a function of how strict the regime is. Cointelegraph previously reported that the city’s stablecoin framework requires issuers to fully back tokens with high-quality liquid reserves, process redemptions within one business day and maintain a physical presence in Hong Kong, alongside broader Know Your Customer and transaction monitoring controls.
The missed deadline comes as Hong Kong places stablecoin regulation at the heart of its strategy to become a global crypto and fintech hub.
China pressure clouds Hong Kong rollout
Cointelegraph previously reported that major fintech players, including Ant International, were preparing to seek Hong Kong stablecoin licenses as the city rolled out its new regime.
Related: How Hong Kong is turning tokenized bonds into real market infrastructure
In October 2025, the FT reported that Ant Group and JD.com had paused their Hong Kong stablecoin plans after regulators in mainland China, including the People’s Bank of China and the Cyberspace Administration of China, raised concerns about privately controlled digital currencies.
Big Questions: Is China hoarding gold so yuan becomes global reserve instead of USD?
Michael Saylor’s Strategy (MSTR) looks set to restart its Bitcoin (BTC) accumulation engine after a short pause, with its STRC preferred stock likely funding fresh crypto purchases this week.
Key takeaways:
-
Strategy may purchase at least $76.25 million in Bitcoin this week.
-
Combined with a technical setup, Bitcoin may rise to $80,000 in April.
Strategy may buy at least 1,111 BTC this week
On Tuesday, STRC closed at $100.02, just above its $100 par value. Trading at or above par gives Strategy room to issue new shares, raise fresh capital and deploy the proceeds into Bitcoin.
Estimates from STRC.LIVE suggest Strategy had raised enough by Tuesday’s close to fund the purchase of more than 1,085 BTC, with the weekly total rising to over 1,111 BTC. That is equivalent to around $76.25 million.
This is a shift from the previous week, when STRC traded mostly below par and generated no estimated BTC purchases.
As of late March, the company held 762,099 BTC at an average acquisition price of about $75,694, according to its latest filings.
BTC rebounds as Strategy’s buying window reopens
The renewed buying window has coincided with a bounce in Bitcoin prices.
Since Tuesday, BTC/USD has climbed more than 5%, briefly reaching nearly $69,300. The move mirrors earlier gains seen during periods when Strategy was actively raising capital through STRC to buy Bitcoin.
One example came in the week ending March 15, when Bitcoin rose more than 10% despite weak broader risk sentiment. Over the same period, Strategy purchased 22,337 BTC worth about $1.57 billion.
The opposite dynamic emerged afterward. Bitcoin fell 14.55% over the next two weeks, roughly aligning with Strategy’s pause in purchases as STRC slipped below its $100 par value.
On March 23, Strategy unveiled a $44.1 billion capital-raising capacity to buy more Bitcoin via the sales of STRC and other preferred stocks, indicating that it would remain a meaningful source of Bitcoin demand in the coming months.
Stretch Dividend Rate maintained at 11.50% for April 2026. $STRC pic.twitter.com/8Jl0QlfNhK
— Michael Saylor (@saylor) April 1, 2026
Bitcoin eyes $80K after bouncing from flag support
From a technical standpoint, Bitcoin’s rebound began after it retested the lower boundary of its prevailing bear flag pattern as support.
BTC could advance toward the flag’s upper trendline near $80,000 in April if the recovery gains further traction, particularly if boosted by renewed Strategy buying and signs of easing Iran war tensions.
The $80,000 upside target also aligns with the 50-period exponential moving average on the three-day chart, making the area a key near-term resistance zone.
Related: Bitcoin ETFs post $1.3B in March inflows, first monthly gain of 2026
Conversely, Bitcoin risks losing the flag’s lower trendline support and confirming the pattern’s typical bearish breakdown if those supportive catalysts fade.
In that scenario, the measured downside target would come in near the $49,000–$50,000 zone. That aligns with the downside projections shared by multiple analysts in the past.
This article is produced in accordance with Cointelegraph’s Editorial Policy and is intended for informational purposes only. It does not constitute investment advice or recommendations. All investments and trades carry risk; readers are encouraged to conduct independent research before making any decisions. Cointelegraph makes no guarantees regarding the accuracy or completeness of the information presented, including forward-looking statements, and will not be liable for any loss or damage arising from reliance on this content.
Global asset manager Franklin Templeton is set to expand its crypto footprint by acquiring a spinoff of the crypto-native investment firm CoinFund.
Franklin Templeton said Wednesday it plans to acquire 250 Digital, a CoinFund spinoff that runs liquid crypto investment strategies, expanding the asset manager’s digital asset business. The deal will form part of a new unit called Franklin Crypto once it closes.
The move follows CoinFund’s decision earlier this year to spin out its liquid strategies business into 250 Digital as the company sharpened its focus on venture investing.
Christopher Perkins will lead the new Franklin Crypto, and Seth Ginns will serve as chief investment officer alongside Franklin Templeton digital assets veteran Tony Pecore, as the company broadens its crypto investment platform for institutional clients.
The deal will incorporate BENJI tokens, which represent ownership shares in the Franklin OnChain US Government Money Fund (FOBXX), a regulated money market fund tokenized by Franklin Templeton in 2021.
Acquisition involves all liquid strategies previously run by CoinFund
Franklin said the undisclosed transaction includes the 250 Digital investment team and all liquid cryptocurrency strategies previously run by CoinFund, and that it will also invest in those strategies as part of the agreement.
The transaction is expected to close in the second quarter of 2026, subject to the execution of definitive transaction agreements, client consents and other customary closing conditions.
Franklin Templeton’s digital asset arm manages around $1.8 billion in assets and is a major institutional player in the crypto industry, where it has been building a presence since 2018.
The company is known for being one of the first to launch a US-listed spot Bitcoin ETF alongside other major asset managers such as BlackRock in 2024.
Related: Franklin Templeton, Ondo to launch tokenized ETFs with 24/7 trading via crypto wallets
The acquisition comes during a prolonged slump in the crypto market, with Bitcoin down around 45% from its peak above $126,000 recorded in October 2025.
However, Franklin Templeton says the environment is attracting talent and creating opportunities to build long-term infrastructure.
Franklin’s head of innovation, Sandy Kaul, told The Wall Street Journal the recent market selloff helped create an opening to expand.
“This big selloff that we had in the crypto markets is creating a very unique opportunity that really made us all decide that this is the right time to pull the trigger,” Kaul said.
Ripple has added digital asset capabilities to its treasury management platform, allowing corporate finance teams to hold, track and manage cryptocurrencies and fiat balances within a single system, the company said.
According to a company announcement, the update introduces Digital Asset Accounts and a unified dashboard that aggregates balances across bank accounts, custody providers and onchain wallets, giving treasury teams real-time visibility into both cash and digital assets.
The system supports assets including XRP (XRP) and Ripple USD (RLUSD), with balances updated in real time and recorded alongside fiat transactions. APIs connect external custodians and sync activity into the platform, according to Ripple.
Ripple said the update embeds digital asset functionality directly into its treasury system, rather than requiring separate crypto platforms. The company said this could reduce reliance on manual reconciliation and fragmented reporting across banking and custody systems.
Mark Johnson, chief product officer at Ripple, told Cointelegraph the shift is about making digital assets “a core part of treasury operations,” allowing companies to manage them alongside traditional balances while enabling use cases such as stablecoin settlement and yield on idle cash.
The launch follows Ripple’s October acquisition of GTreasury for $1 billion. The company said the product is already live for customers in beta ahead of a broader rollout, with availability varying by jurisdiction depending on regulatory requirements and geography.
Related: Ripple CEO says stablecoins could be crypto’s ‘ChatGPT moment’ for businesses
Digital assets move into financial infrastructure
A survey published by Ripple in March found that 72% of more than 1,000 global finance leaders believe companies must offer digital asset solutions to remain competitive, reflecting growing focus on custody, security and infrastructure.
The findings point to a broader shift from adoption to integration, as institutions look to incorporate these assets into existing financial systems rather than manage them separately.
That transition is driving increased activity across financial infrastructure. In July, Visa expanded its settlement platform to support additional stablecoins and blockchain networks, building on its initial use of USDC (USDC) for settlement in 2021.
Banks have also begun integrating tokenized money into their operations. In November, JPMorgan expanded access to its JPM Coin deposit token, allowing institutional clients to move funds on blockchain networks for real-time settlement.
Similar efforts are emerging in credit and capital markets. In October, Securitize and BNY said they would collaborate to bring instruments such as collateralized loan obligations onchain.
Magazine: XRP yet to ‘price in’ 3 bullish catalysts, Bitcoin to $80K? Trade Secrets
XRP crypto is trading at $1.32, and while the price chart looks fragile, the on-chain data underneath it is telling a different story.
Chain’s scarcity indicator for XRP on Binance has hit 0.59 – its highest reading since 2024 – as coins leave exchanges at a pace that is mechanically compressing the available sell-side pool.
The magnitude is not subtle. On March 10 alone, approximately $738 million worth of XRP was withdrawn from major platforms in a single 24-hour window, described by analysts as one of the most substantial single-day net outflows recorded year-to-date.
February saw 7.03 billion XRP exit centralized exchanges entirely, with Binance accounting for roughly 3.38 billion of that volume. The supply mechanics are shifting – but the price hasn’t fully priced it in yet.
Discover: The best pre-launch token sales
XRP Crypto Price Prediction: Can $1.40 Hold as Exchange Balances Drop?
XRP is pressing against the $1.40 resistance zone that analysts have flagged as the critical battleground. Below it, the $1.27–$1.30 band represents the next meaningful support cluster.
The RSI on the daily is hovering near 42 – not oversold, but not generating momentum signals either. The 50-day EMA sits just above spot price, capping intraday recovery attempts.
The on-chain divergence is the real tension here. Whale wallets accumulated approximately 40 million XRP in March even as US-listed XRP spot ETFs – now holding a combined $1.02 billion in assets – recorded $30.12 million in net outflows over the same period.
CoinShares data puts global XRP fund outflows at $130 million for the month. Institutional selling and whale buying are colliding directly at $1.40.
On the chart, $1.27 is the line that really matters, because as long as price holds above it, the accumulation story stays intact, especially with whales stepping in and ETF flows starting to stabilize, which could open the door for a push through $1.40 and a move higher if momentum follows.
But right now it is more of a tug of war, with XRP likely chopping between $1.27 and $1.40 while the market figures itself out, because you have strong accumulation on one side and lingering sell pressure on the other, and neither has fully taken control yet.
If that $1.27 level breaks clean with volume, the whole setup starts to fall apart fast and opens the door for a deeper pullback, because at that point price is no longer respecting the accumulation zone, and that always takes priority over any on chain signal.
What makes this cycle different is the institutional layer, with players like Bitwise holding massive chunks of XRP through ETF products, meaning even small outflows can hit the order book hard, while Ripple keeps building out its infrastructure in the background, which is exactly the kind of long term story bigger players tend to front run.
Explore: Best crypto assets to diversify your portfolio
The post XRP Crypto Holders Pull Coins Off Exchanges, On-Chain Data Signals Supply Shock appeared first on Cryptonews.
Pearl is Olas’s consumer gateway to a future where narrow AI agents quietly trade, curate and create prediction markets at a scale humans will never touch, says co‑founder David Minarsch.
Summary
- Olas co‑founder David Minarsch traces Pearl back to early agent work at Fetch.ai and Valory, then pivots from B2B DAO tools to a consumer app for owning AI agents.
- Pearl backs tightly scoped, long‑running agents like Polystrat, which filters Polymarket markets, applies prediction tools and has at times outperformed human traders by 2–3x.
- Minarsch sees prediction markets as economic training grounds for AI, with agents already a large share of activity and the long tail of markets increasingly served by machines, under real regulation.
David Minarsch sat down with crypto.news on March 31 on the sidelines of ETHCC to explain why Pearl’s narrow, long‑running AI agents are remaking prediction markets from the inside out.
From Fetch.ai to Pearl
Minarsch’s route into autonomous agents is textbook crypto‑AI convergence. “I got drawn into the space by my background in economics and game theory,” he told crypto.news, recalling his move into crypto after several years working on machine learning applications.
At Fetch.ai, where he spent two years, his team built one of the first agent frameworks in crypto, anchored on a simple but loaded idea: wallets controlled by machines, not humans.
“We actually wrote a detailed paper on this, which was way ahead of its time,” he adds. In 2021, he spun those lessons out into Valory, the core lab behind Olas, which has since experimented with a range of applications and go‑to‑market strategies.
The first bet was B2B: autonomous agents sold to DAOs such as CowSwap, Balancer and Ceramic. “That went okay but never sort of really took off,” Minarsch concedes. The real pivot came in 2023, when “general purpose usable large language models like ChatGPT” landed and Olas “switched more to B2C.” Pearl is the result: “a B2C application which has different agents in it,” built for users, not governance forums.
By the time Pearl launched in February 2025, the rest of the industry had caught up to Olas’s early agent thesis. “The crypto space and the AI space had moved towards agents, now everyone is building agents or using agents or both,” Minarsch says. But he argues most people’s idea of an agent is still shaped by chat interfaces like ChatGPT: “a co‑pilot synchronous experience” where you prompt and it replies, in front of you, in real time.
Olas is explicitly betting against that dominant pattern. “When you have long long‑running agents with like autonomy but tightly scoped so they can’t just do anything but they can do interesting things within a certain scope. That’s where it becomes very interesting,” he says. Pearl is designed around those tightly scoped, background processes rather than generalist assistants, Minarsch points out.
“With Pearl we intentionally go very narrow in terms of the capabilities of an agent,” he explains. He points to new tools like OpenClaw—as both validation and warning. “OpenClaw validated a lot of our core assumptions that people do want llocal first experiences with AI agents,” he says, but “the product can do too much, which causes a bunch of problems, including secruity, but also just a problem for the user.”
In his view, that kind of system is built for tinkerers “who just sort of want to mold this thing into something that’s useful to them.” The “low friction user” wants to “just press a button” and get a consistent result. “I have one and I asked it to send me daily report and half the time it’s broken,” he says of OpenClaw. “That’s not a good product experience.” Pearl’s agents, by contrast, are designed to do one thing—trading, yield seeking, market creation—reliably. Limited scope, high definition, low problem latency.
Polystrat is the cleanest demonstration of that philosophy. Polystrat is an example because here’s just the idea: provide some capital, have it trade in prediction markets,” Minarsch says. Instead of facing Polymarket’s UX—wallet setup, funding, market selection, position sizing—the user delegates funds to Polystrat and lets the agent do the work.
“Polystrat is just like a user of Polymarket,” he stresses. “If you want to use Polymarket you as a human need to set up a wallet, fund it and then you’re faced with the decision of what market to trade in. Polystrat abstracts all this and the idea is for it to simply trade on your behalf.” The agent focuses on geopolitical and political news markets, “not so short‑lived” and generally closing “within the next four to five days.”
Technically, the flow is simple but ruthless. The agent filters markets using rules like liquidity and time to close, then applies “prediction tools,” which Minarsch describes as “workflows that sit on top of models and data sources.” “There’s many different prediction tools and the agent learns over time which ones to take and which ones not to take,” depending on the market. A local pricing and sizing engine converts those predictions into positions and the system trades autonomously on your behalf.
Performance wise, Polystrat ranges between 56 and 69% accuracy, Minarsch says. As a fleet, “our agents… have performed two to three times as well as human traders,” although they are “not yet at a fleet‑wide break even.” Individual Polystrat instances, however, can deliver “up to 100% ROI overall and like several 100% ROI per individual trade.” The goal is not anecdotes but a statistical edge: “to have a Polystrat fleet on average a positive ROI.”
Trading is only half the story. As more agents enter Polymarket and its predecessors, Minarsch sees prediction markets becoming “early prototypes for these market‑driven AI systems… environments that encode truth discovery at an economic scale.”
He doesn’t pretend the rails are clean. On controversial questions—or markets with contested outcomes—information lags and disputed outcomes are common. Polystrat nor other agents on Pearl attempt to solve that. “Polystrat itself is just a trading agent on top of Polymarket,” it’s neither consensus building nor a truth serum.
But AI is already reshaping participation, creation and policing. “It’s unclear exactly how many traders in prediction markets are already AI agents but it’s probably more than 30%,” Minarsch believes. “Potentially already more than half,” he adds. As such, humans have limited attention, so “the whole long tail of prediction markets will basically be served to AI agents,” he predicts.
Crucially, Minarsch breaks from crypto libertarianism on governance. “We take the view that there should be regulation of prediction markets,” he says flatly, citing markets that “effectively look like assassination markets” or “incentivizing bad behaviors.” With “a certain degree of regulation or self‑regulation,” more markets and more AI participants should “drive prices to equilibrium” and “improve the information embedded in the markets,” opening the door to derivatives, hedging and other instruments built on top.
Asked whether Olas agents could become “data liquidity providers operating autonomously across multiple networks,” Minarsch shrugs off the distinction. “Liquidity provision is effectively also trading strategy,” he says.
In that framing, Pearl is less a single app and more an operating system for narrow, long‑running agents: Polystrat for prediction markets, Optimus for yield, Omenstrat for market creation and whatever comes next for liquidity across venues. The consistent design choice is scope: each agent does one thing, over long horizons, with as little human intervention as possible.
“We were just very early to something that a lot of people are now doing,” Minarsch says of the agent wave. The difference now is that Pearl is pushing those agents into retail‑facing products, turning prediction markets into both a playground and a proving ground for AI‑driven liquidity and truth discovery.
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