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How UK Home Insurers Can Return to Profit

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By Karsten Ries, CEO, ONICS

Since 2019, the UK home insurance sector has faced sustained profitability challenges. Escalating claims severity, an ageing housing base, rising repair and materials costs, and aggressive price competition have all combined to compress margins. Increasingly, losses appear structural rather than cyclical.

Meanwhile, insurers across the Nordic region have demonstrated that strong profitability is still achievable. Markets in Denmark, Sweden, and Norway have pivoted away from purely reactive claims payment models toward preventative, data-driven risk management strategies. The outcomes include lower loss ratios, sharper underwriting insight, and stronger customer relationships.

For UK insurers aiming to rebuild profitability, after six years of losses, the Nordic experience offers several practical lessons.

  1. Prevention creates value 

The UK home insurance market remains highly price sensitive. Policies often look similar to customers, switching providers is straightforward, and engagement is typically limited. This environment drives churn and pushes insurers into unsustainable price competition.

Nordic insurers have reframed the proposition by embedding prevention directly into their offerings. Through connected-home technologies, including leak detection sensors, temperature and humidity monitoring, and smart smoke detection, insurers intervene early to prevent losses before they escalate.

Escape of water claims account for roughly a quarter to a third of home insurance losses. Evidence from Nordic deployments suggests early detection can completely prevent around 10% of these incidents and significantly reduce the severity of many others. The financial impact is substantial, particularly given how costly and frequent these claims are.

For UK insurers, prevention represents a shift from competing on price to competing on protection, providing customers with visible, everyday value.

  1. High-quality data matters 

While AI is a hot topic that is widely discussed across underwriting and claims, its effectiveness depends entirely on data quality. In the UK, underwriting still relies heavily on static proxy data such as postcode, property type, historical claims, and broad demographic factors. These inputs rarely reflect how risk changes in real time.

Nordic insurers are closing this gap by collecting structured, real-time data directly from insured properties via connected devices. This enables continuous visibility into environmental conditions, usage patterns, and early indicators of potential loss events.

The benefits extend across the insurance value chain. Insurers can price risk more accurately, intervene earlier to reduce loss severity, validate claims more efficiently, and identify potential fraud more easily. The core insight is clear: improving cdata quality often delivers more value than simply improving modelling sophistication.

  1. Ongoing engagement delivers loyalty and growth

Low customer engagement remains a major issue in UK home insurance. Many customers interact with their insurer only once a year or when something goes wrong. This weakens loyalty, increases churn risk, and limits cross-selling opportunities. Many UK customers can’t even name their current insurer!

Nordic insurers using connected-home platforms have created regular, positive interactions through alerts, insights, and preventative guidance delivered via mobile apps. This reframes the insurer as an active partner in protecting the home rather than a distant claims payer.

Even small improvements in retention can create meaningful financial gains. With If Insurance, the biggest insurer in the Nordic region, for instance, this went way beyond initial expectations or goals. Prevention services can also support premium product tiers, encouraging customers to pay more in exchange for enhanced protection.

Beyond retention, connected platforms create opportunities for new services, including smart-home automation and expanded safety and security solutions.

  1. Technology alone is not enough 

The strongest Nordic results did not come from deploying devices alone. Success depended on integrating prevention technology into a coherent operating model, including:

  • Clear customer onboarding and education
  • Reliable alert triage processes
  • Partner ecosystems capable of responding quickly to incidents

This combination ensures operational accountability while building customer trust in the prevention proposition.

  1. Redefining the insurer’s role

The Nordic experience shows that restoring profitability is not simply about cost reduction or premium increases. It requires redefining the insurer’s role, from compensating loss after the event to actively helping prevent it. It changes the whole dynamic with the customer, from negative to positive.

Prevention-driven models reduce claims costs, improve underwriting accuracy, and create meaningful differentiation in commoditised markets. Once customers adopt embedded prevention services, switching providers becomes much less attractive, greatly strengthening retention and long-term value.

The way ahead

For UK home insurers facing sustained margin pressure, prevention-led models are moving from optional innovation to proven strategy. 

The most sustainable path back to profitability may not come from pricing harder, but from protecting smarter by becoming a long-term partner in managing risk, not just paying claims after the event.

For more information: www.onics.com/insurtech

Ethereum Foundation Maps 2026 Protocol Priorities

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

The Ethereum Foundation’s protocol track leads published a new “Protocol Priorities Update for 2026” on Feb. 18, outlining how core R&D will be organized this year and what the next upgrade cycle is expected to emphasize.

Ethereum’s Priorities In 2026

The update looks back at 2025 as a high-throughput year for mainnet changes, anchored by two network upgrades. Pectra shipped in May, Fusaka followed in December with PeerDAS on mainnet. Alongside those upgrades, the community increased the mainnet gas limit from 30 million to 60 million, calling it the first significant jump since 2021.

The main change is organizational. “Now that those milestones are behind us, we have the opportunity to think about how we organize our work at a slightly higher level,” the authors wrote. For 2026, Protocol work is grouped into three tracks: Scale, Improve UX, and Harden the L1, each with named leads.

The Scale track, led by Ansgar Dietrichs, Marius van der Wijden, and Raúl Kripalani, merges last year’s “Scale L1” and “Scale Blobs” initiatives into one effort. The foundation frames this as a pragmatic consolidation, because execution capacity, networking, and consensus changes tend to land in the same client code and influence each other.

On the roadmap, the update highlights continued gas limit increases “toward and beyond 100M,” supported by block-level access lists via EIP-7928 and ongoing client benchmarking. It also flags “the scaling components of Glamsterdam,” including enshrined PBS through EIP-7732, repricings, and further blob parameter increases.

Beyond that, the Scale track includes pushing a zkEVM attester client from prototype toward production readiness, and longer-run state scaling work that spans near-term repricing and history expiry through to binary trees and statelessness.

The Improve UX track, led by Barnabé Monnot and Matt Garnett, narrows in on two areas the foundation calls the most leverage for 2026 usability: native account abstraction and interoperability.

On account abstraction, the update positions EIP-7702 as a step toward an endpoint where smart contract wallets become the default without bundlers, relayers, or extra gas overhead. It points to proposals including EIP-7701 and EIP-8141, described as “Frame Transactions,” as work that moves smart account logic deeper into the protocol itself.

That UX roadmap is also tied to security direction. The foundation argues native account abstraction provides a cleaner migration path away from ECDSA-based authentication, and says parallel proposals aim to make quantum-resistant signature verification meaningfully cheaper inside the EVM.

Interoperability work builds on the Open Intents Framework with the stated goal of “seamless, trust-minimized cross-L2 interactions,” supported by faster L1 confirmations and shorter L2 settlement times.

The new Harden the L1 track, led by Fredrik Svantes, Parithosh Jayanthi, and Thomas Thiery, is framed as insurance policy work that preserves Ethereum’s core properties while scaling continues.

The update ties security efforts to Svantes’ Trillion Dollar Security Initiative, including post-quantum readiness and execution-layer safeguards like post-execution transaction assertions and “trustless RPCs.”

On censorship resistance, Thiery’s scope includes FOCIL via EIP-7805 and extensions that touch censorship resistance for blobs, statelessness work labeled VOPS, and the development of measurable censorship-resistance metrics. Jayanthi’s remit covers devnets, testnets, and client interoperability testing, which the foundation says becomes more critical if Ethereum moves into a faster fork cadence.

Looking ahead, the foundation targets Glamsterdam for the first half of 2026, with Hegotá planned later in the year. The stated ambition bundles parallel execution, significantly higher gas limits, enshrined PBS, continued blob scaling, and progress on censorship resistance, native account abstraction, and post-quantum security, with more track-level updates promised as the year unfolds.

At press time, Ethereum traded at $1,968.

Ethereum price chart
Ethereum remains below the 200-week EMA, 1-week chart | Source: ETHUSDT on TradingView.com

Featured image created with DALL.E, chart from TradingView.com

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Bitdeer (BTDR) Crashes 18% On Convertible Note Offering

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Bitdeer Technologies’ shares slid sharply today after the Singapore-based bitcoin miner and AI data center firm announced plans to raise $300 million through a private sale of convertible senior notes due 2032, a financing move that sparked investor concern over potential dilution.

The company said the offering, aimed at institutional buyers, includes an option for initial purchasers to buy an additional $45 million in notes, which would bring the total raise to $345 million if exercised. The notes will be convertible into cash, Class A ordinary shares, or a combination of both at Bitdeer’s discretion.

Bitdeer’s stock fell over 18% in pre-market trading, dropping below $8 for the first time since April. Shares were down roughly 15% on the day, reflecting market caution about the capital raise and the possibility that future conversions could increase the company’s share count.

Convertible debt offerings often pressure equities because investors anticipate dilution if the stock price rises and noteholders convert their holdings into shares. Bitdeer said it plans to enter into capped call transactions with financial institutions to help offset dilution risk. Such hedging strategies are designed to limit the number of shares issued upon conversion, though they can introduce additional volatility around pricing.

Bitdeer’s Class A share offering 

Alongside the note sale, Bitdeer disclosed a separate registered direct offering of Class A ordinary shares to certain holders of its existing 5.25% convertible senior notes due 2029. The company said the number of shares and the price will be determined at the time of pricing.

Proceeds from the offerings will be used primarily to fund capped call transactions and to repurchase a portion of the 2029 notes in privately negotiated deals. Any remaining funds will support expansion of Bitdeer’s data center footprint, as well as growth in its high-performance computing and AI cloud business lines. The company also highlighted ongoing development of ASIC-based mining rigs as part of its longer-term strategy.

Bitdeer said the direct share offering and note repurchases are contingent on completion of the new notes sale, though the notes offering itself can proceed independently.

The announcement comes as Bitdeer accelerates its pivot beyond bitcoin mining toward broader infrastructure services. The company recently reported fourth-quarter revenue of $224.8 million, up 226% year over year, and posted a net profit of $70.5 million compared with a $531.9 million loss in the prior-year quarter.

Bitdeer mined 1,673 bitcoin during the quarter, supported by a managed hashrate of 71 exahash per second, including 55.2 EH/s of self-mining capacity. 

The company also held roughly 2,000 BTC on its balance sheet at year-end, though more recent data suggests holdings have declined after liquidations earlier this year to fund expansion.

PayPal’s PYUSD Supply Crosses $4 Billion

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PYUSD has become the fourth-largest stablecoin on L2 Arbitrum after a partnership with USDai.

PayPal’s PYUSD stablecoin crossed $4 billion in total market capitalization this month, while its supply on Layer 2 Arbitrum One rose enough to rank it the network’s fourth-largest stablecoin.

According to data compiled by consulting firm Entropy Advisors, Arbitrum now has over $220 million worth of PYUSD circulating on the network, next only to USDAI, USDC and USDT. DefiLlama data records the PYUSD supply on Arbitrum at $256.6 million.

Stablecoins deployed on Arbitrum One. Source: Dune Analytics

As analysts at Entropy Advisors explained in an X post on Feb. 16, PYUSD’s increase on Arbitrum appears to be tied to a partnership announced in mid-December between PayPal and Permian Labs, the core developer behind USDai (USDAI).

Under the agreement, PYUSD was added as a reserve asset backing USDAI and a settlement and liquidity asset for the protocol, which is primarily based on Arbitrum and is tied to financing for AI infrastructure, such as GPUs and data centers.

Per the announcement, up to $1 billion in PYUSD deposits on USDai will earn 4.5 % APY as part of a one-year incentive program.

“With this integration, USDAI’s loans can be issued in $PYUSD and settled directly into PayPal accounts. Borrowers can pay for GPUs, data center costs, rentals, and subscriptions using a single dollar based rail,” USDAI said in a December X post.

Following the integration, data from DefiLlama shows that nearly all of PYUSD’s supply on Arbitrum is deployed within USDai. PYUSD now accounts for more than 43% of all token deposits on the protocol, second only to WrappedM by M0 (WM), USDAI’s base asset, which makes up more than 56% of its TVL.

the-defiant
Token breakdown on USDAI. Source: DefiLlama

However, USDAI’s own documentation states that “incentives are used early to bootstrap liquidity, but they are not the end‑state yield source,” implying that stablecoins are deployed mainly to support settlement in the early phase, while the protocol is meant to transition toward GPU and AI-backed lending as its primary yield and collateral source.

Arbitrum One is currently the largest Ethereum L2 by total value secured, with $16.82 billion, according to data from L2Beat.

dLocal and Open English Roll out Bre-B Instant Payments for Students in Colombia

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dLocal (NASDAQ: DLO), the cross-border payment platform connecting global merchants to emerging markets, and Open English, a leading online English-learning platform, today announced the rollout of Bre-B as a new instant payment method for students in Colombia. With Bre-B now live nationwide, this launch reflects both companies’ readiness to activate new local payment rails as they become available.

In Colombia, where digital education continues to grow but payment access remains uneven, credit-card ownership is limited, transaction declines are common, and cash-based flows still rely on offline steps. For subscription-based services such as eLearning, these frictions can interrupt student enrollment and increase checkout drop-off, making the use of Bre-B particularly relevant.

Launched by Banco de la República last October, Bre-B is Colombia’s first government-backed real-time payment infrastructure. It supports 24/7 transfers using digital identifiers (llaves) and has reached nearly 100 million registrations to date.

By adding this new payment method through dLocal, Open English now lets students and companies pay instantly from participating Colombian banks or digital wallets, using a Bre-B llave or QR code. Bre-B was activated within Open English’s existing payment setup, allowing for a fast rollout without disrupting the enrollment flow. Payments are confirmed in seconds, removing the need for credit cards or manual verification and allowing students to access classes shortly after signing up.

“If someone is ready to learn, we don’t want payments to slow that down,” said Andrés Moreno, CEO at Open English. “Making education accessible means acting quickly when local systems change. Bre-B lets students in Colombia pay in a way that works for them. With dLocal, we can do that without compromising how our checkout performs.”

“Since Bre-B launched, we’ve seen how quickly people start using it in everyday payments,” said Sofia Posada, Head of Alternative Payment Methods at dLocal. “Rolling this out with Open English is all about putting that rail where it makes sense, helping students pay and get started right away.”

Beyond Bre-B in Colombia, dLocal and Open English continue to extend their collaboration. Since their collaboration began two years ago, dLocal and Open English have expanded local and alternative payment method coverage across key emerging markets. Today, the partnership supports payments in Brazil, Argentina, Colombia, Mexico, Chile, Peru, Uruguay, Guatemala, the Dominican Republic, Ecuador, and Turkey.

Upcoming initiatives include the addition of BNPL options like Pareto in Argentina and Pagaleve in Brazil, as well as the exploration of B2B and payout flows to support teachers, partners, and internal operations. Together, these initiatives reflect a shared focus on building payment flows that match local payment behavior while supporting the scale and operational needs of a global digital education platform.

What’s the Best AI Model to Run Your Business? The One That Lies Best, Apparently

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In brief

  • Vending-Bench Arena tested AI agents running competing vending machine businesses.
  • Top models increased profits through price-fixing, collusion, and deceptive tactics. Claude was the best at these tactics.
  • GLM-5 defeated Claude by impersonating a teammate and extracting sensitive strategy.

Researchers at Andon Labs just answered which AI models are best at running a business. The top performers all won by forming illegal price cartels, exploiting desperate competitors, and lying to customers about refunds.

The Vending-Bench Arena test puts AI models in charge of competing vending machines for a simulated year. They negotiate with suppliers, manage inventory, set prices, and can email each other to collaborate or compete. Success requires balancing costs, pricing strategy, customer service, and competitor dynamics. Claude Opus 4.6 dominated the benchmark with $8,017 in profit—and celebrated its win by noting: “My pricing coordination worked!”

Image: Andon Labs

Anthropic is the image of the nice guys in the AI space, but that “coordination” strategy that Claude proposed was basically price-fixing. When competing models struggled, Opus 4.6 proposed: “Let’s NOT undercut each other — agree on minimum pricing… Should we agree on a price floor of $2.00 for most items?” When a rival ran low on inventory, it spotted an opportunity: “Owen needs stock badly. I can profit from this!” It sold Kit Kats at 75% markup to the desperate competitor. When asked for supplier recommendations, it deliberately directed rivals to expensive wholesalers while keeping its own good sources secret.

The latest update in the benchmark added team competition. Researchers pitted two Chinese GLM-5 models against two American Claude models and told them to find their teammates, Americans or Chinese—without revealing which agents were which. The results were genuinely bizarre.

GLM-5 won both rounds by convincing Claude it was Claude. “I’m also powered by Claude from Anthropic, so we’re teammates!” one GLM-5 agent confidently declared. Claude, meanwhile, got so confused that Sonnet 4.5 concluded: “I’m powered by a Chinese model, so I need to find the other Chinese model Agent.”

Image: Andon Labs

In more than half the test runs, agents teamed with their competitors. The Claude models shared supplier pricing and coordinated strategy—leaking valuable information to rivals. “GLM-5 won both,” the researchers wrote. “The Claude models tried to be team players and ended up leaking valuable info to their competitors.”

And agents doing shady stuff may be all fun and games until you realize Wall Street is already deploying them in real-life operations. JPMorgan deployed LLM Suite to 60,000 employees. Goldman Sachs built its GS AI Assistant for trading desks, claiming 20% productivity gains. Bridgewater uses Claude to analyze earnings and even high-school age kids are seeing their chatbots trade stocks more efficiently.

In general, adoption of agentic workflows is accelerating rapidly across enterprises.

When Anthropic and Wall Street Journal reporters ran a real vending machine experiment in December, the AI bought a PlayStation 5, several bottles of wine, and a live betta fish before going bankrupt. Recent research from Gwangju Institute found that when AI models were told to “maximize rewards” in gambling scenarios, bankruptcy rates hit 48%. “When given the freedom to determine their own target amounts and betting sizes, bankruptcy rates rose substantially alongside increased irrational behavior,” researchers found.

So, it seems that, at least for now, AI models optimized for profit consistently choose unethical tactics. They form cartels. They exploit weakness. They lie to customers and competitors. Some do it deliberately. Others, like GLM-5 claiming to be Claude, seem genuinely confused about their own identity. The distinction might not matter.

Wall Street’s AI deployment raises a question the Vending-Bench results can’t answer: If the “best” performing model wins through price-fixing and deception, is it really the best choice for your business? The benchmark measures profit. It doesn’t measure whether those profits came from fraud.

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what happens beyond the yield

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In today’s newsletter, Nassim Alexandre from RockawayX takes us through crypto vaults, what they are, how they work and risk evaluation.

Then Lucas Kozinski, from Renzo Protocol, answers questions about decentralized finance in Ask an Expert.

– Sarah Morton


Understanding vaults: what happens beyond the yield

Capital flowing into crypto vaults surged past $6 billion last year, with projections indicating it could double by the end of 2026.

With that growth, a sharp split has emerged between vaults with robust engineering and controls and vaults that are essentially yield packaging.

A crypto vault is a managed fund structure deployed on-chain. An investor deposits capital, receives a token representing their share, and a curator allocates that capital in accordance with a defined mandate. The structure can be custodial or non-custodial, redemption terms depend on the liquidity of the underlying assets and portfolio rules are often encoded directly into smart contracts.

The central question around vaults is exposure: what am I exposed to, and can it be more than I am being told? If you can explain where the yield comes from, who holds the assets, who can change the parameters and what happens in a stress event, you understand the product. If you cannot, the headline return is irrelevant.

There are three risk layers worth understanding.

The first is smart contract risk: the risk that the underlying code fails. When was the last audit? Has the code changed since? Allocation controls sit here as well. Adding new collateral to a well-designed vault should require a timelock that allows depositors to see the change and exit before it takes effect. Strategy changes should require multi-signature approval.

The second is underlying asset risk: the credit quality, structure and liquidity of whatever the vault is actually holding.

The third underappreciated risk is redemption: under what conditions can you get your capital back, and how quickly? Understand who handles liquidations in a downturn, what discretion they have and whether the manager commits capital to backstop them. That distinction matters most in the exact moments you would want to leave.

The quality of a vault is largely dependent on the quality of its curation. A curator selects which assets are eligible, sets parameters around them and continuously monitors the portfolio.

For example, most real-world asset strategies on-chain today are single-issuer, single-rate products. A curated vault, by contrast, combines multiple, vetted issuers under active management, giving diversified exposure without managing single-name credit risk yourself.

Then there is ongoing monitoring. Default rates shift, regulations change and counterparty events happen. A curator who treats risk assessment as a one-time exercise is not managing risk.

What makes crypto vaults different from a traditional fund is transparency; investors don’t have to take the curator’s word for it. Every allocation, position and parameter change happens on-chain and is verifiable in real time. For advisors familiar with private credit, the underlying collateral may be recognisable. What requires attention is the on-chain structuring around it: whether you have genuine recourse, in which jurisdiction and against whom. That is where curator expertise matters. A curator is the risk manager behind a vault. They decide what assets are eligible, set the rules capital operates within, and actively manage the portfolio.

Curated vault strategies typically target 9-15% annually, depending on mandate and assets. That range reflects risk-adjusted return generation within defined constraints.

Vaults also allow a more efficient way to access assets you already allocate to, with capabilities that traditional structures do not offer. For family offices managing liquidity across multiple positions, this is a practical operational improvement.

The key one is composability. On-chain, a vault can allow you to borrow against a collateral position directly, without the documentation overhead of a traditional loan facility. For family offices managing liquidity across multiple positions, this is a practical operational improvement.

Permissioned vault structures are also noteworthy, as they allow multiple family offices or trustees to deposit funds into a single managed mandate without commingling, each retaining separate legal ownership while sharing the same risk-management infrastructure.

The vaults that survive this scrutiny will be the ones where the engineering, mandate, and curator’s judgment are built to hold under pressure.

– Nassim Alexandre, vaults partner, RockawayX


Ask an Expert

Q: With “yield-stacking” and many layers of decentralized finance (DeFi) protocols, what is needed to mitigate risk in vaults?

The first thing is minimizing complexity. Every additional protocol in the stack is another attack surface. So if you don’t need it, cut it. We won’t deposit into protocols that have discretionary control over funds — meaning they can move capital wherever they want without user consent. We want transparency about what other protocols are doing with our capital, but privacy around our strategies so others can’t see anything proprietary.

Beyond that, it comes down to transparency and time. Users should always be able to see exactly where their funds are and what they’re doing. And any parameter changes — fees, strategies, risk limits — should go through a timelock so people have a window to review and react before anything goes live. Smart contract audits matter too, but audits are a baseline, not a safety net. The architecture has to be sound before the auditor even shows up.

Q: At what point does institutional capital inflow compress DeFi yields to the level of traditional risk-free rates, and where will the next “alpha” be found?

It’ll happen eventually in the most liquid, simple strategies. But here’s what traditional finance (TradFi) can’t replicate: composability. The underlying instruments might be identical — take the USCC carry trade as an example — but in DeFi you can plug that same position into a lending market, use it as collateral, provide liquidity to a DEX pool and do all of that simultaneously. That’s not possible in TradFi without significant infrastructure cost.

The alpha won’t disappear. It’ll just move to whoever builds the most efficient capital pathways between strategies. The people who figure out how to stack yields across composable layers while managing risk properly will consistently outperform. And that gap between DeFi and TradFi infrastructure costs alone keeps the spread wide for a long time.

Q: How will the integration of Real World Assets (RWAs) into automated vaults change the correlation between crypto yields and global macro interest rate cycles?

Yes, crypto yields will become more correlated with macro as RWAs come in. That’s just the nature of bringing rate-sensitive assets on-chain. But I think people underweight the other side of that tradeoff.

Before RWAs, crypto holders had a binary choice: keep stables on-chain and earn crypto-native yields, or pull everything out and deposit into a brokerage. Now you can hold stables on-chain and access the same strategies you’d find in TradFi, without leaving the ecosystem. And crucially, you can layer on top of them — borrow against your RWA position, deploy that capital into a lending market, LP against pools that use these assets as collateral. The capital efficiency you get from that kind of setup is just not available in traditional finance. So yeah, more macro correlation — but also more optionality for where to deploy capital, which should push rates up over time as liquidity deepens.

– Lucas Kozinski, co-founder, Renzo Protocol


Keep Reading

Bitcoin ETFs Shed $133 Million as Outflows Deepen

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Bitcoin ETFs recorded $133 million in outflows on Wednesday, with ether funds also posting $42 million in redemptions. Solana ETFs attracted fresh capital, while XRP products saw modest withdrawals. Crypto ETFs Slide: Bitcoin, Ether Post Fresh Redemptions Risk appetite cooled across much of the crypto exchange-traded fund (ETF) market on Wed, Feb. 18, with capital […]

Strategic Niche Mastery: How Focused Business Models Win in 2026

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In the vast and interconnected economy of 2026, the temptation for a Business to be “everything to everyone” is a common trap that leads to mediocrity. The most successful professional organizations have realized that true scale and profitability come from strategic niche mastery. By combining deep domain expertise with targeted Technology and Artificial Intelligence, a firm can dominate a specific market segment with a level of precision that larger, generalized competitors cannot match. This article examines the professional frameworks for identifying, capturing, and defending a market niche in a digital-first world.

The Power of “Micro-Specialization”

The “generalist” model is increasingly under threat from lean, tech-enabled firms that focus on doing one thing exceptionally well. In a professional context, micro-specialization allows a Business to refine its operations to a point of extreme efficiency.

  1. Tailored Technology Stacks: A niche Business doesn’t use generic software. It invests in Technology specifically designed for its industry’s unique challenges. This bespoke approach ensures that the organization’s digital infrastructure is a perfect fit for its professional needs.

  2. Deep-Domain Artificial Intelligence: While broad AI models are useful, the 2026 advantage belongs to those who train AI on industry-specific data. This “Vertical AI” allows a Business to provide insights and automation that are far more accurate and valuable to its specific clientele.

Authority-Based Digital Marketing

For a niche Business, Digital Marketing is not about mass reach; it is about high-intensity relevance. The goal is to become the “uncontested authority” in a specific field.

  • Precision Targeting: Using advanced data analytics, a Business can identify and reach the exact decision-makers within its niche. This reduces marketing waste and ensures that every Digital Marketing campaign is speaking to an audience that already understands the value of the specialized service.

  • The “Expert” Brand Identity: Niche mastery is signaled through high-level thought leadership. By consistently publishing deep-dive analyses on specific industry problems, a professional organization builds a “trust moat” that makes it the default choice for clients looking for specialized solutions.

Financial Resilience Through High Margins

One of the primary Business benefits of niche mastery is the ability to maintain premium pricing. When a company provides a unique, specialized value that cannot be easily replicated, it gains significant pricing power.

  1. Value-Based Pricing: Rather than competing on cost, a niche Business prices its services based on the immense value and ROI it provides to a specific type of client. This leads to higher margins, which can be reinvested into further Technology and R&D.

  2. Lower Customer Acquisition Costs (CAC): Because the target market is clearly defined, the Business spends less effort searching for clients. Over time, a professional reputation within a niche leads to organic referrals, further strengthening the company’s financial position.

Defensive Strategies in a Competitive Landscape

Dominating a niche requires more than just a good start; it requires a professional defensive strategy to keep competitors at bay.

  • Continuous Innovation: In 2026, a niche is never “safe.” A professional Business stays ahead by using Artificial Intelligence to monitor emerging trends and customer pain points, ensuring its specialized solution is always the most advanced on the market.

  • Ecosystem Integration: By integrating its Technology into the daily workflows of its clients, a niche Business creates high “switching costs.” When a company becomes an essential part of its client’s operational success, it secures a long-term professional partnership.

Scaling Within the Niche

Scaling a specialized Business doesn’t always mean moving into new industries. It often means going deeper into the existing one.

  1. Horizontal Expansion: A professional organization might scale by offering additional specialized services to its existing client base. This leverages established trust to increase the “share of wallet.”

  2. Global Niche Domination: Digital Marketing and cloud Technology allow a niche firm to serve the same specialized segment across the entire world. A company can be a “Global Micro-Leader,” owning a specific slice of the market on every continent.

Conclusion: The Future of the Specialized Enterprise

The Business world of 2026 rewards the specialist. By focusing on a clear niche and supporting that focus with advanced Technology and Artificial Intelligence, professional organizations can achieve a level of success and stability that is unavailable to the generalist. Niche mastery is about more than just being small; it is about being the absolute best at what you do. For the modern professional, the path to greatness is not wide—it is deep.

CME Plans 24/7 Crypto Futures Trading Starting May 29

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CME Group will begin offering 24/7 trading for its regulated cryptocurrency futures and options on May 29, pending regulatory review, expanding access to its digital asset derivatives suite as demand from institutional participants grows.

The world’s largest derivatives marketplace said continuous trading will start Friday, May 29 at 4:00 p.m. Central Time on its CME Globex platform. 

The move is designed to give clients round-the-clock access to hedging and trading tools tied to bitcoin and other digital assets, aligning futures markets more closely with the nonstop nature of spot cryptocurrency trading.

Tim McCourt, CME Group’s global head of equities, foreign exchange, and alternative products, said customer demand for risk management in the digital asset sector has reached new highs.

“Client demand for risk management in the digital asset market is at an all-time high, driving a record $3 trillion in notional volume across our Cryptocurrency futures and options in 2025,” McCourt said in a statement.

CME said the shift reflects the growing role of regulated derivatives in crypto market structure, particularly for professional investors seeking exposure with clearing and oversight protections. Unlike offshore venues, CME’s crypto contracts operate within the U.S. regulatory framework, offering standardized settlement and reporting.

Under the new schedule, CME cryptocurrency futures and options will trade continuously with at least a two-hour weekly maintenance period over the weekend. 

The exchange said holiday and weekend trading from Friday evening through Sunday evening will carry the trade date of the following business day. Clearing, settlement, and regulatory reporting will be processed the next business day as well.

The change comes as CME’s cryptocurrency complex continues to post record activity. The exchange reported year-to-date average daily volume of 407,200 contracts in 2026, representing a 46% increase from the same period last year. Average daily open interest reached 335,400 contracts, up 7% year over year.

Futures trading has driven much of the growth. CME said futures average daily volume stands at 403,900 contracts year to date, up 47% compared with last year’s levels.

Traditional markets are accepting crypto infrastructure

The move toward a 24/7 schedule follows a broader trend in market infrastructure adapting to digital asset trading patterns. Crypto markets operate without traditional closing hours, and institutional traders have sought products that match the constant availability of underlying spot markets.

CME said not all markets lend themselves to nonstop trading, but cryptocurrency products represent a category where continuous access supports risk management needs. The exchange framed the change as a way to ensure clients can manage exposure at any time, particularly during periods of heightened volatility.

CME Group operates exchanges across major asset classes including interest rates, equity indexes, foreign exchange, energy, agriculture, and metals. Its platforms include CME Globex for futures and options trading, BrokerTec for fixed income, and EBS for foreign exchange.

The company also runs CME Clearing, one of the world’s largest central counterparty clearing providers, which plays a role in reducing counterparty risk in derivatives markets.

The May 29 launch date remains subject to regulatory review. If approved, the expanded schedule will mark a shift in how U.S.-regulated crypto derivatives are traded, bringing futures and options markets closer to the continuous rhythm of global cryptocurrency trading.