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CFOs don’t need a crypto thesis. They need ROI. Adoption hinges on counterparties, seamless ERP and treasury integration, and demonstrable savings across FX, fees, working capital and reconciliation. Payments beat holding. Enterprises increasingly look …

CFOs don’t need a crypto thesis. They need ROI. Adoption hinges on counterparties, seamless ERP and treasury integration, and demonstrable savings across FX, fees, working capital and reconciliation. Payments beat holding. Enterprises increasingly look at stablecoins as faster payment infrastructure, particularly cross-border, rather than an asset to keep on the balance sheet. Stablecoins have a demand problem, not a supply problem. Infrastructure, regulation and institutional investment are racing ahead of actual corporate adoption because most CFOs still need a compelling reason to switch rails. Stablecoins have spent the past year and a half acquiring nearly everything an emerging payments technology is supposed to need to go mainstream. Clearer regulation, check; more institutional backing, check; better infrastructure and growing support from banks, FinTechs and payment providers? Check, check, and check. By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions . Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required. The problem? New research from the Federal Reserve Bank of Cleveland, along with existing research from PYMNTS Intelligence, shows that what stablecoins have not been acquiring at the same pace as their infrastructure building is actual corporate demand. The most cited corporate adoption obstacles, per the Fed’s research, were not linked to regulatory uncertainty or lack of access. Companies instead were satisfied with existing payment methods, unsure of the economic benefit of stablecoins and, critically, were not being asked by customers or suppliers to transact differently. The findings rhyme with months of PYMNTS Intelligence research, which found this spring that 42% of middle market companies had at least discussed, tested or used stablecoins, while just 13% were actually using them. The findings separately illustrate the widening gap between corporate curiosity and production deployment. But put the two bodies of research together, and five conclusions emerge about what corporate stablecoin adoption will require. Read also: Stablecoins Are Just Wildcat Banking With Better Wi-Fi 1. Stablecoins Don’t Have a Supply Problem. They Have a Demand Problem. The GENIUS Act helped address one of the industry’s longstanding problems by establishing a federal framework for stablecoins. But regulation can make an instrument available without making it necessary. That distinction matters. The Cleveland Fed found only 21 respondents who identified availability through an existing financial services provider as something influencing, or potentially increasing, their interest in stablecoins. More respondents wanted evidence that stablecoins were cheaper or more efficient, more time to watch adoption, or demand from customers. PYMNTS Intelligence data points toward the same divide. Stablecoins are attracting considerably more corporate attention than conventional cryptocurrencies, but discussion and experimentation are running well ahead of actual use. That changes the industry’s central commercialization problem. Building another wallet, stablecoin or settlement network may increase supply without materially increasing transactions. For CFOs, the question is less whether stablecoins can move money than why they should replace a payment process that already works. 2. Payments Are More Compelling Than Holding The second point of agreement may be more important for stablecoins’ long-term trajectory. Among the eight Cleveland Fed respondents using or planning to use stablecoins, four cited accepting customer payments and four cited supplier payments. All three that envisioned stablecoins serving a treasury function also intended to use them for payments. The Fed’s review of corporate disclosures, meanwhile, found virtually no evidence that nonfinancial, noncrypto companies are keeping meaningful stablecoin positions on their balance sheets. PYMNTS Intelligence has found something strikingly similar from another direction: 88% of firms receiving stablecoins convert them immediately into U.S. dollars. In that model, the winning stablecoin may eventually become almost invisible. See more: Why Stablecoins Are a Money Story, Not a Consumer Story 3. Counterparties Matter More Than Crypto Enthusiasm Payments technologies are unusually dependent on network effects. A company gains little from supporting a new rail if its customers and suppliers have no reason to use it. That suggests stablecoin adoption may be less about persuading individual CFOs and more about achieving sufficient density within particular commercial corridors. A U.S. manufacturer may have little reason to introduce stablecoins across domestic suppliers already paid efficiently through ACH. The calculus can look different when paying a supplier in a market where correspondent banking is expensive, settlement is slow or dollar access is constrained. Stablecoins can remain marginal across corporate payments overall while becoming economically important inside specific cross-border corridors, marketplaces or supplier networks. Lloyds Banking Group and Visa, for example, on Wednesday (Sept. 30) completed a seven-day live pilot that tested cross-border settlement using stablecoins. More here: What Stablecoins Can Learn From the $12 Trillion Repo Market 4. Stablecoins Have to Fit the Finance Stack, Not Replace It There is another obstacle that enthusiasm about faster settlement can obscure. CFOs do not operate payments in isolation. Transactions flow through enterprise resource planning (ERP) systems, treasury management software, bank connectivity, sanctions screening, approval workflows, accounting systems and reconciliation processes. A payment that settles in seconds but creates hours of manual reconciliation is not necessarily an improvement. We’d love to be your preferred source for news. Please add us to your preferred sources list so our news, data and interviews show up in your feed. Thanks! Add as Preferred Source PYMNTS’ reporting on enterprise adoption has repeatedly identified this back-office issue. The challenge is connecting tokenized settlement with ERP, treasury and banking infrastructure without forcing companies to establish parallel financial operations. The Cleveland Fed survey captures the same problem from the buyer’s perspective. Respondents cited uncertainty about benefits and costs, accounting and tax treatment, employee knowledge and operational complexity as barriers. That makes integration a competitive issue, not simply a technical one. PYMNTS CEO Karen Webster has repeatedly highlighted this with Ryan Rugg, global head of digital assets for Citi Treasury and Trade Solutions (TTS), on “From the Block,” noting that ERPs serve as “the gating factor for adoption at scale.” Read more: Nobody Told the ERP That Blockchain Won 5. CFOs Need Economics, Not a Crypto Thesis Perhaps the clearest overlap between the Fed and PYMNTS research is that corporations are approaching stablecoins as finance departments generally approach infrastructure: show the return. Forty-two Cleveland Fed respondents said more evidence that stablecoins were cheaper or more efficient would increase their interest. Several simply said their current payment methods already worked. The relevant corporate calculation includes transaction fees, foreign exchange spreads, working-capital effects, implementation costs, compliance overhead, reconciliation expense, liquidity requirements and operational risk. Stablecoins need to improve the total equation. That is a considerably higher hurdle than demonstrating faster settlement. And that may explain why cross-border B2B payments remain one of their most credible enterprise entry points. The worse the incumbent economics, the easier the stablecoin business case becomes. That is a much narrower proposition than “stablecoins will replace payments.” It may also be a much more commercially significant one. Of course, there’s still lots of work to do. “The Wallet Effect: How Credit Unions Can Close the Digital Currency Access Gap,” a June Credit Union Tracker from PYMNTS Intelligence and Velera, found rising interest in digital currency among younger consumers, and a limited grasp on how various digital assets work, with stablecoin awareness falling short for 70% of credit union members. For all PYMNTS digital transformation and B2B coverage, subscribe to the daily digital transformation and B2B newsletters. At PYMNTS Intelligence, we work with businesses to uncover insights that fuel intelligent, data-driven discussions on changing customer expectations, a more connected economy and the strategic shifts necessary to achieve outcomes. With rigorous research methodologies and unwavering commitment to objective quality, we offer trusted data to grow your business. As our partner, you’ll have access to our diverse team of PhDs, researchers, data analysts, number crunchers, subject matter veterans and editorial experts.

Global supply chain pressures inched up in September, reaching their highest level since the recent peak seen in May, according to the Federal Reserve Bank of New York’s Global Supply Chain Pressure Index (GSCPI). …

Global supply chain pressures inched up in September, reaching their highest level since the recent peak seen in May, according to the Federal Reserve Bank of New York’s Global Supply Chain Pressure Index (GSCPI). By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions . Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required. The GSCPI rose to 1.28 in September, up from an upwardly revised 1.20 in August. The August figure was revised up from an initial reading of 1.06. The GSCPI provides a gauge of global supply chain conditions by integrating transportation cost data and manufacturing indicators. It has been published since 1997, according to the New York Fed’s overview of the index. The GSCPI is based on standard deviations from an average value, according to a graph included in the index. We’d love to be your preferred source for news. Please add us to your preferred sources list so our news, data and interviews show up in your feed. Thanks! Add as Preferred Source A zero in the index indicates that it is at its average value, while a positive value indicates higher global supply chain pressure and a negative value indicates lower pressure, according to a staff report on the GSCPI. The GSCPI hit its most recent peak in May, with the estimate gauged at 1.81, according to the chart. It reached its all-time high in December 2021, with an estimate of 4.43. The last time the GSCPI had a negative value, or lower-than-average global supply chain pressure, was November 2025. The current estimate for that month is -0.21, per the chart. Reuters reported in July that supply chain pressures had begun to abate after reaching a four-year high earlier in the year. The GSCPI reached its recent peak in April and May as the U.S.-Iran conflict disrupted the flow of trade through the vital Strait of Hormuz and led to a spike in the price of fuel. The pressures began to abate when some traffic was allowed through the strait, giving economists and Fed officials hope that inflationary pressures would begin to ease. In other supply chain news, Bloomberg reported in September that The Port of Los Angeles, which is America’s busiest container hub for global trade, blocked more than 120 million cyberattacks during August. The port’s cybersecurity team identified intrusion, network exploitation, credential harvesting and malware attacks during the month, according to the report. For all PYMNTS B2B coverage, subscribe to the daily B2B newsletter.

The smartphone chip giant unveiled its Dragonfly server CPU, a Meta deal, and a $40 billion non-handset revenue target at its Investor Day Qualcomm spent years as the company inside your phone. Now it …

The smartphone chip giant unveiled its Dragonfly server CPU, a Meta deal, and a $40 billion non-handset revenue target at its Investor Day Qualcomm spent years as the company inside your phone. Now it wants to be the company inside the data center, too. At its Investor Day on June 24, 2026, the chipmaker laid out a plan to push hard into AI infrastructure. It set a goal of more than $15 billion in data center revenue by fiscal 2029. Investors liked what they heard: shares jumped more than 12% in after-hours trading. The pitch rests on a market Qualcomm projects will reach approximately $200 billion for CPUs by fiscal 2029 or 2030. Dragonfly, Meta, and a much bigger target The centerpiece of the strategy is a new product family called Dragonfly. Its flagship is the Dragonfly C1000, a server CPU built for agentic AI workloads. The C1000 uses a multi-chiplet design. Instead of one giant slab of silicon, it stitches together several smaller pieces, an approach that can improve manufacturing yields and flexibility. The specs are aggressive. The chip packs more than 250 Oryon cores and runs at frequencies above 5 GHz. It is pitched as delivering more than double the performance per watt of competing server CPUs. Advertisement Performance per watt matters more than it sounds. Data centers are increasingly limited by how much electricity they can pull, not just how much hardware they can buy. A chip that does twice the work on the same power budget is effectively free capacity. Qualcomm already has a marquee customer lined up. Meta Platforms signed a multi-generation agreement to use the Dragonfly C1000 in its data center servers. Volume production is slated for the second half of 2028. AI, tech, and the markets they move—in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Email address Subscribe free We respect your privacy. Unsubscribe anytime. Microsoft is also expected to deploy Qualcomm’s High Bandwidth Compute chips, known as HBC. And additional hyperscalers, still unnamed, are likely to start contributing to Qualcomm’s custom-chip revenue before 2026 wraps up. Along the way, the company is projecting $5 billion in data center revenue for fiscal 2027 as a stepping stone toward the $15 billion-plus goal. The broader numbers moved too. Qualcomm raised its non-handset revenue target for fiscal 2029 to $40 billion. Its previous target was $22 billion, so the new figure nearly doubles it. Why Qualcomm needs a second act By fiscal 2029, the company projects smartphones will account for only about one-third of its total revenue. The rest is supposed to come from data centers, automotive, IoT, industrial applications, robotics, and edge AI platforms. A crowded field of rivals The server CPU market has long been dominated by Intel and AMD. Nvidia is also in the mix through its Vera chip. Efficient Arm-based designs have been gaining ground as cloud providers look for alternatives to traditional x86 processors. Qualcomm’s argument centers on energy efficiency and cost. In environments where power is the bottleneck, it believes its chips can win on total economics rather than raw horsepower alone. What this means for investors and the chip market The after-hours jump of more than 12% suggests the market was not fully pricing in Qualcomm’s data center potential before Investor Day. The Meta deal does a lot of heavy lifting here. Plenty of chip companies announce server ambitions. Far fewer show up with a hyperscaler customer signed to a multi-generation agreement. Add Microsoft’s expected HBC deployment, and Qualcomm has two of the largest buyers of compute in its corner. The C1000 does not hit volume production until the second half of 2028. The fiscal 2027 projection of $5 billion in data center revenue offers an early checkpoint for whether the $15 billion-plus target for fiscal 2029 is achievable.

The chipmaker raised its fiscal 2031 revenue target to between $70 billion and $90 billion, and its stock jumped nearly 8% intraday Marvell Technology gave Wall Street a growth story it could not ignore. …

The chipmaker raised its fiscal 2031 revenue target to between $70 billion and $90 billion, and its stock jumped nearly 8% intraday Marvell Technology gave Wall Street a growth story it could not ignore. At its Investor Day on October 6, 2026, CEO Matt Murphy laid out a fiscal 2031 revenue target of between $70 billion and $90 billion. For context, the company’s expected fiscal 2026 revenue is $8.2 billion. Murphy is pitching a business roughly an order of magnitude larger within about five fiscal years, and investors seemed willing to hear him out. Shares of Marvell (MRVL) climbed nearly 8% intraday after the presentation. The numbers behind the hype The long-range target did not arrive in a vacuum. It followed Marvell’s fiscal Q2 2027 report, which showed record quarterly revenue of $2.74 billion. That figure was up 37% year-over-year. The real engine was the data center. That segment brought in $2.17 billion in the quarter, a 46% increase from a year earlier. Advertisement Data-center sales made up 79% of total revenue. Management also lifted its full-year view. Marvell now sees fiscal 2027 revenue of approximately $12 billion, which would represent about 45% growth year over year. AI, tech, and the markets they move—in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Email address Subscribe free We respect your privacy. Unsubscribe anytime. Within that, the company anticipates data-center growth of nearly 60%. The medium-term target moved too. Marvell revised its fiscal 2028 revenue guidance up to approximately $20 billion, from a prior estimate of around $18 billion. What Marvell actually sells The company identified three main growth drivers: AI connectivity, custom silicon and optical solutions. AI connectivity refers to the hardware that links thousands of processors so they can work as one giant computer. Training large AI models requires constant, high-speed communication between chips, and bottlenecks there can waste expensive compute. Custom silicon means designing chips tailored to a specific customer’s workloads. Large cloud operators increasingly want processors built for their own needs instead of buying only off-the-shelf parts, and Marvell helps design and build them. Optical solutions use light instead of electrical signals to move data. Over longer distances and at higher speeds, optics can carry more information with less power, which matters when data centers are scaling up rapidly. Why the long-term target matters A $70 billion to $90 billion fiscal 2031 range is notably wide. The $20 billion spread between the low and high ends is larger than the company’s entire fiscal 2028 target. What this means for investors and the AI trade With data centers making up 79% of revenue, the stock’s fortunes are now tightly linked to AI capital spending. The most useful checkpoints will be the next few quarterly reports. Investors will want to see whether Marvell stays on track for approximately $12 billion in fiscal 2027 revenue and nearly 60% data-center growth. Progress toward the roughly $20 billion fiscal 2028 target will be the next real test.

“President Donald Trump’s meme coin saw a brief price spike as the crypto firm behind it promoted a major perk for investors: a ‘gala dinner’ attended by the president himself,” the Washington Sun reports. …

“President Donald Trump’s meme coin saw a brief price spike as the crypto firm behind it promoted a major perk for investors: a ‘gala dinner’ attended by the president himself,” the Washington Sun reports. “But as the company encouraged the public to purchase… “President Donald Trumps meme coin saw a brief price spike as the crypto firm behind it promoted a major perk for investors: a ‘gala dinner’ attended by the president himself,” the Washington Sun rep…

BofA strategists suggest limited-risk equity derivatives as a way to ride the Nasdaq 100's AI-driven climb without full exposure to a potential bust Bank of America has a message for investors nervous about the …

BofA strategists suggest limited-risk equity derivatives as a way to ride the Nasdaq 100's AI-driven climb without full exposure to a potential bust Bank of America has a message for investors nervous about the tech megacaps pushing the Nasdaq 100 to record highs: you can still join the party, as long as you book a ride home in advance. The bank’s strategists argue that equity derivatives offer a way to capture the rally while sidestepping the damage if it turns out to be a bubble. The bubble warning, by the numbers BofA analysts, with work on the theme led by Michael Hartnett, have been drawing comparisons between today’s AI-fueled market and the 2000 dot-com bubble. The bank’s Bubble Risk Indicator, or BRI, for the Nasdaq 100 and the broader tech sector has climbed to a range of 0.72 to 0.8. Higher readings mean the conditions that tend to precede corrections are building. The analysts say the current setup resembles the market roughly six months before the March 2000 dot-com peak. There is an important difference, though. Only 18 stocks in the S&P 500 scored above the 0.8 BRI threshold, and together they represent just 3.2% of the index weight. At the height of the dot-com boom, somewhere between 50 and 100 stocks cleared that bar. Advertisement Why volatility is flashing late-1990s signals VIXEQ, a gauge tied to single-stock volatility, is up 46% year to date. The VIX, Wall Street’s better-known fear index for the S&P 500, has risen 13% over the same stretch. BofA notes that this kind of divergence is reminiscent of the late 1990s, when single names lurched around even as headline indexes kept marching higher. AI, tech, and the markets they move—in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Email address Subscribe free We respect your privacy. Unsubscribe anytime. The analysts also flagged the effect of high interest rates. Tech and AI-linked assets have kept rising while other sectors lagged significantly. The money behind the AI trade AI-related capital expenditures by US hyperscalers are forecast at approximately $795 billion for 2026. The projection for 2027 is about $1.08 trillion. BofA’s playbook: call spreads, not concentrated bets Rather than buying the megacaps outright, BofA’s strategists suggest limited-risk derivatives, particularly call spreads. A call spread works like a capped bet. An investor buys a call option, which pays off if a stock or index rises above a set price. At the same time, they sell another call at a higher price, which helps pay for the first one but caps the potential gain. The result is a position with a known, limited cost. If the rally continues, the investor profits up to a ceiling. If the bubble pops, the most they lose is what they paid for the trade, not a large chunk of a stock portfolio. According to the research, these trades could be structured on Nasdaq 100 exposure or on semiconductor sector ETFs, the corner of the market most directly tied to the AI spending boom. What this means for investors Capped upside means investors give up some gains if the AI rally turns into a full melt-up. Options also carry their own complexities, including timing risk: a position can expire worthless if the market stalls, even if the long-term thesis proves right. With just 18 stocks above the 0.8 BRI threshold and only 3.2% of S&P 500 weight in that zone, the risk is narrower than in 2000. If that number begins expanding toward the 50 to 100 range seen at the dot-com peak, it would suggest the euphoria is spreading beyond the AI leaders. A 46% jump in VIXEQ against a 13% move in the VIX shows stress building at the company level. The projected climb from roughly $795 billion in 2026 to about $1.08 trillion in 2027 is a vote of confidence from the companies doing the spending. Any sign that hyperscalers are pulling back would hit the exact stocks driving the Nasdaq 100.

United States Federal Reserve Bank of Kansas City President Jeffrey Schmid said on Tuesday that artificial intelligence is among the key drivers of inflation, warning that the central bank's credibili... United States Federal Reserve …

United States Federal Reserve Bank of Kansas City President Jeffrey Schmid said on Tuesday that artificial intelligence is among the key drivers of inflation, warning that the central bank's credibili... United States Federal Reserve Bank of Kansas City President Jeffrey Schmid said on Tuesday that artificial intelligence is among the key drivers of inflation, warning that the central bank's credibil…

The Federal Reserve is set to realign its bank supervision system for increased accountability and efficient decision-making. Five new geographic supervisory regions will be established, each led by a regional leader. This new structure …

The Federal Reserve is set to realign its bank supervision system for increased accountability and efficient decision-making. Five new geographic supervisory regions will be established, each led by a regional leader. This new structure aims to address concer… The Federal Reserve plans to restructure its supervision of US banks, replacing a system that gives regional Fed presidents responsibility for examinations with one that gives Washington officials cl…

The U.S. Commodity Futures Trading Commission (CFTC) has announced plans to offer a federally regulated framework for cryptocurrencies. This move aims to provide a structured pathway for crypto exchanges dealing with leveraged, margined, or …

The U.S. Commodity Futures Trading Commission (CFTC) has announced plans to offer a federally regulated framework for cryptocurrencies. This move aims to provide a structured pathway for crypto exchanges dealing with leveraged, margined, or financed retail transactions, although it does not extend to all spot trading. The CFTC’s proposal includes Regulation CTX and Regulation CAM, which would require entities to register and comply with various controls, including anti-manipulation measures and proof-of-reserves. This development appears to be a step towards greater regulatory clarity for crypto markets, but broader authority over spot exchanges remains contingent on future congressional actions. Key Takeaways The CFTC’s announcement suggests an increased regulatory focus on specific crypto transactions, potentially enhancing market stability. Market behavior indicates this could be supportive of scenarios where Bitcoin reaches higher price targets, reflecting institutional confidence. The current regulatory proposal does not cover all crypto spot trading, hinting at potential legislative action needed for broader oversight. What to Watch Observers will be keen to see how the CFTC’s proposed regulations impact institutional adoption and market dynamics. Key indicators include congressional responses and potential amendments to the regulatory framework. Markets may also reflect whether the CFTC’s actions lead to significant changes in Bitcoin’s price trajectory, particularly in achieving the $200,000 target by the end of 2026. Further statements from U.S. Congress or market-leading institutions could offer additional insights into the future regulatory environment.

RLC crypto has become one of the market’s most aggressive movers. iExec’s token has risen roughly 146% over three months, with most of the excitement centered in a spectacular October 5 breakout that nearly …

RLC crypto has become one of the market’s most aggressive movers. iExec’s token has risen roughly 146% over three months, with most of the excitement centered in a spectacular October 5 breakout that nearly doubled the price in a single day. Read More: He Says His Binary Options Strategy Brings In $2,000 a Week—Watch Him Trade Live RLC price jumped from around $0.36 to above $0.70 and briefly traded much higher intraday. So why is this token growing and could it sustain this rally? Related: Trump Just Sent Hyperliquid (HYPE) Soaring: Is a U.S. Breakthrough Coming? What Is RLC Crypto? RLC is the utility token behind iExec, a decentralized computing project that has been operating since 2017. The network focuses on confidential computing: processing data without exposing sensitive information during execution. That matters for areas such as: Artificial intelligence DeFi Real-world assets Data monetization Private financial applications Decentralized computing iExec uses Trusted Execution Environments, or TEEs, to isolate sensitive workloads while they are running. RLC crypto sits underneath that infrastructure. According to iExec, RLC can be used to access computing resources, secure off-chain computation, and monetize digital assets. The token supply is fixed at roughly 87 million RLC, with no inflation or future token unlocks. Why Is RLC Crypto Surging? The strange thing about the rally is that there is no obvious single catalyst. iExec did not announce a transformative partnership on October 5, there was no major new token listing that suddenly exposed RLC to millions of additional traders, nor did the project launch a new product that would reasonably double its valuation overnight. That makes the market structure itself important. Before the breakout, RLC crypto had spent much of September trading between roughly $0.28 and $0.38. Then activity changed almost instantaneously. On October 5, RLC opened near $0.36 and climbed above $0.70, while some markets recorded an intraday high close to $0.98. Volume expanded even more dramatically. That combination, an explosive price move with an even larger surge in trading, is often a sign that speculative capital has found a relatively illiquid asset. And RLC is small enough for that to matter. Before the rally its market capitalization was only around $30 million. Is a Short Squeeze Driving the RLC Rally? Derivatives activity around RLC exploded alongside spot trading. Coinalyze data showed RLC open interest rising from roughly $2 million before the breakout to almost $38 million: an increase of more than 1,800% in 24 hours. That is extraordinary relative to the size of the underlying asset. Open interest represents outstanding futures positions. It does not tell us whether traders are bullish or bearish by itself, but such a huge increase indicates leveraged speculation entered the market extremely quickly. RLC had also been trading with strongly negative funding rates before the breakout. Negative funding usually means perpetual futures traders are leaning toward short positions. When price unexpectedly moves upward, those traders may have to buy RLC to close their positions or face liquidation. That creates a feedback loop: Spot buying pushes RLC higher Short positions move into losses Shorts close or are liquidated Those purchases push RLC higher again Momentum traders enter More shorts become vulnerable For a relatively low-cap token the effect can be violent. Why Is iExec Suddenly Interesting Again? The rally may be speculative, but the underlying narrative did not appear from nowhere. iExec argues that public blockchains create a basic problem for institutions. Transactions may be verifiable but sensitive balances, trading strategies, and financial data are also exposed. Its proposed solution is confidential execution. Earlier this year, iExec introduced its Confidential Token concept, designed to let ERC-20 assets hide balances and transaction amounts, while still allowing selective disclosure to approved parties such as auditors or regulators. Nox Protocol v0.1.0 is live 🚀 The first official version of iexec-nox/nox-protocol-contracts is here. This release introduces the core building blocks of Nox: confidential token, confidential compute primitives, ACL system, on-chain proof validation and a Solidity SDK for… — iExec Developer (@iExecDev) April 9, 2026 The project has also been building confidential AI infrastructure and working with decentralized computing providers such as Aethir. Related: Best Polymarket Trading Bots in 2026: Top Bots for Copy Trading, AFK Trading and Telegram Automation That puts iExec at the intersection of several crypto narratives that remain attractive to traders: AI DePIN Privacy Real-world assets Institutional DeFi RLC crypto gives traders a relatively small-cap way to speculate on all of them simultaneously. Why RLC Tokenomics Matter RLC’s supply structure can amplify both bullish and bearish moves. The maximum supply is approximately 87 million tokens, and essentially the entire supply already exists. That means RLC crypto does not face the large scheduled unlocks common among newer tokens. There is no constant stream of newly vested tokens entering the market and diluting holders. iExec has also proposed tying future protocol usage more directly to RLC demand. Under the model described for its confidential DeFi infrastructure, users would not necessarily need to hold RLC themselves, instead, protocol revenue could be converted into RLC through automated market purchases. Conceptually, that solves an old problem with utility tokens. For adoption to benefit a token, users normally have to care about the token itself. iExec’s model aims to let institutions use the product normally while the infrastructure handles RLC demand behind the scenes. But this mechanism only becomes meaningful if iExec generates meaningful usage and revenue. For now, much of that value proposition remains prospective. Does the 146% Rally Mean iExec Adoption Is Exploding? No. A 146% RLC crypto rally proves that demand for the token increased, but it does not prove that usage of iExec’s infrastructure increased by 146%. There is currently little evidence that fundamental network activity suddenly changed enough to justify the speed of the move. That makes the enormous rise in derivatives positioning particularly important. If the rally were primarily being driven by a major new source of long-term RLC demand, traders would want to see accompanying evidence such as: Increased protocol usage More confidential applications going live Higher developer activity Growing protocol revenue Larger RLC purchases tied to actual usage New institutional integrations Instead, the clearest immediate change is in the market itself. Price, volume, open interest, and speculative attention all exploded together. Why the Rally Could Continue Momentum rallies can travel much farther than fundamentals initially justify. RLC crypto now has several factors working in its favor. First, it has regained trader attention after months of relatively subdued activity. Second, its low market capitalization means additional capital can still have an outsized price effect. Third, the fixed token supply limits the ability of new issuance to absorb sudden demand. Fourth, iExec fits several narratives currently attracting capital, particularly privacy infrastructure and AI-related decentralized computing. And finally, a heavily leveraged market can continue squeezing traders who bet against the move. If RLC can retain strong spot volume after the initial breakout, the rally may develop into something more durable. That “if” is critical. Related: Monad Price Drops 12%: Is MON’s Breakout Already Falling Apart? Why RLC Crypto Could Crash Just as Fast Almost every factor that helped RLC rise can also make it fall. The token has experienced extreme volatility before. RLC reached above $15 during the 2021 bull market and later lost more than 95% of that value. The latest rally also pushed technical momentum indicators into extremely overbought territory. More importantly, a market with enormous derivatives activity relative to its capitalization can reverse violently. Leverage amplifies moves in both directions. If traders who entered late begin taking profits, price can fall, that can liquidate leveraged longs, which creates additional forced selling, producing the same feedback loop that may have helped drive the rally upward. There is also a fundamental problem. Without a clearly identifiable new catalyst, traders cannot easily estimate what the “correct” post-rally valuation should be. What Should RLC Investors Watch Next? Spot Trading Volume Persistent spot volume would suggest that genuine buyers continue entering the market. A rapid collapse in volume would make the rally look more like a short-lived speculative event. Open Interest If open interest remains extremely high while price becomes unstable, liquidation risk will remain elevated. If leverage declines while RLC holds its gains, the market structure becomes healthier. Funding Rates Funding can reveal whether traders are becoming excessively bullish or bearish. Another extreme imbalance could create conditions for the next squeeze, in either direction. iExec Adoption Ultimately, the strongest bullish scenario would be rising RLC crypto prices accompanied by actual growth in iExec usage. The project’s confidential DeFi and RWA strategy gives it a fundamental story. The market now needs evidence that the story is turning into demand. Is the RLC Crypto Rally Sustainable? The rally is real, the explanation is less straightforward. RLC crypto has risen roughly 146% over three months and nearly doubled during its biggest breakout session, while trading volume and futures positioning exploded. But there is no equally dramatic fundamental announcement behind the move. The strongest immediate explanation is therefore market structure, a small-cap token attracted sudden buying while heavily leveraged derivatives activity magnified the move. iExec’s privacy, AI, and confidential-computing strategy probably helped provide the narrative traders needed to chase it. Whether that becomes a lasting repricing depends on what comes next. If volume remains strong, leverage normalizes, and iExec begins translating its confidential DeFi roadmap into measurable usage, the rally may prove to be the market anticipating real growth. If activity disappears once speculative momentum cools, RLC could give back a large part of the move just as quickly as it gained it. For now, RLC crypto looks like both an interesting fundamental story and an extremely crowded trade.