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20 Jan 2026, 12:22

UK Regulators “Exposing Consumers to Serious Harm” as AI Oversight Gaps Widen — Committee Warns

The regulators in the U.K. are being cautioned that their existing approach to artificial intelligence in financial services may expose consumers to severe harm, as loopholes in regulation increase when AI is taking off more rapidly in the industry. The Treasury Select Committee has issued this warning, saying the Bank of England, the Financial Conduct Authority, and HM Treasury have been over-reliant on a wait-and-see strategy when AI is already in the heart of financial decision-making. In a report published on January 20, the committee said the pace of AI adoption has outstripped the regulators’ ability to manage its risks. Approximately 75% of financial services companies in the UK are currently employing AI, with the most intense adoption amongst insurers and major global banks. Although MPs admitted that AI is able to enhance efficiency, accelerate customer services, and enhance cyber defenses, they concluded that all that is being compromised by unaddressed risks to both consumers and financial stability. Lawmakers Say UK’s AI Approach in Finance Is Too Reactive Currently, there is no specific AI legislation for financial services in the UK. Rather, regulators use pre-existing rules and claim they are flexible enough to include new technologies. The FCA has pointed to the Consumer Duty and the Senior Managers and Certification Regime as providing sufficient protection, while the Bank of England has said its role is to respond when problems arise rather than regulate AI in advance. The committee rejected this position, saying it places too much responsibility on firms to interpret complex rules on their own. AI-driven decisions in credit and insurance are often opaque, making it difficult for customers to understand or challenge outcomes. Automated product tailoring could deepen financial exclusion, particularly for vulnerable groups. Unregulated financial advice generated by AI tools risks misleading users, while the use of AI by criminals could increase fraud . A 2024 @chainalysis report reveals that cryptocurrency scams defrauded victims of at least $9.9 billion, with AI-powered fraud and pig butchering scams surging by 40%. #CryptoScams #CryptoFraud #AI https://t.co/Mt5c5XXmOL — Cryptonews.com (@cryptonews) February 13, 2025 The committee said these issues are not hypothetical and require more than monitoring after the fact. Regulators have taken some steps, including the creation of an AI Consortium and voluntary testing schemes such as the FCA’s AI Live Testing and Supercharged Sandbox. However, MPs said these initiatives reach only a small number of firms and do not provide the clarity the wider market needs. Industry participants told the committee that the current approach is reactive, leaving firms uncertain about accountability, especially when AI systems behave in unpredictable ways. AI Risks Rise as UK Regulators Lag on Testing and Oversight The report also raised concerns about financial stability, as AI could amplify cyber risks, concentrate operational dependence on a small number of US-based cloud providers, and intensify herding behavior in markets. Despite this, neither the FCA nor the Bank of England currently runs AI-specific stress tests. Members of the Bank’s Financial Policy Committee said such testing could be valuable, but no timetable has been set. Reliance on third-party technology providers was another focus. Although Parliament created the Critical Third Parties Regime in 2023 to give regulators oversight of firms providing essential services, no major AI or cloud provider has yet been designated. This delay persists despite high-profile outages, including an Amazon Web Services disruption in October 2025 that affected major UK banks. Multiple major platforms — including Snapchat, Amazon, Coinbase, — went down early Monday due to an AWS outage. #AWS #Outage https://t.co/tsgRVsx830 — Cryptonews.com (@cryptonews) October 20, 2025 The committee said the slow rollout of the regime leaves the financial system exposed. The findings land as the UK continues to promote a pro-innovation, principles-based AI strategy aimed at supporting growth while avoiding heavy-handed regulation. The government has backed this stance through initiatives such as the AI Opportunities Action Plan and the AI Safety Institute . However, MPs said ambition must be matched with action. The post UK Regulators “Exposing Consumers to Serious Harm” as AI Oversight Gaps Widen — Committee Warns appeared first on Cryptonews .

20 Jan 2026, 12:20

Executives turn to AI, company acquisitions for expansion despite mounting economic pressures

div]:bg-bg-000/50 [&_pre>div]:border-0.5 [&_pre>div]:border-border-400 [&_.ignore-pre-bg>div]:bg-transparent [&_.standard-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.standard-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8 [&_.progressive-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.progressive-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8"> _*]:min-w-0 standard-markdown"> Corporate executives worldwide are turning to artificial intelligence and company acquisitions to fuel expansion despite mounting economic pressures, new research shows. A survey by EY-Parthenon released Tuesday found that business chiefs plan to speed up rather than scale back investments even as geopolitical tensions and trade disputes create headwinds. The poll, conducted alongside the World Economic Forum gathering in Davos, reveals shifting strategies at the top of global commerce. The EY research , covered 1,200 chief executives from major corporations across 21 countries between November and December 2025. Nearly every company surveyed has either started or intends to launch major change programs this year. Among those polled, 58% believe artificial intelligence will power their growth over the next two years. Roughly one-third think the technology will completely transform how they run their operations. “Today’s most successful CEOs are confident in their ability to operate under uncertainty, acting boldly to embrace new technologies at speed and foster confident collaboration to gain competitive advantage,” said Janet Truncale, who leads EY globally. “Business leaders need to execute decisively and intentionally by scaling innovation, investing in talent and working closely within their organization and across industries to create new value.” The findings emerged during the opening day of full meetings in Davos, according to Bloomberg. They came shortly after the International Monetary Fund raised its predictions for worldwide economic expansion. The IMF pointed to rising AI spending, especially across North America and Asia, as a major factor behind improved prospects. But the fund warned that markets could face a sudden downturn if the promised productivity increases from new technology fail to materialize. Two-thirds plan to maintain or grow workforce Corporate leaders increasingly see AI as a reliable tool for boosting productivity , revenue, and getting work done faster, according to EY. More than two-thirds expect to keep current staffing levels or bring on additional workers during the coming year as they pour money into AI systems. Many executives are also pursuing company purchases to speed up their digital transformation, improve how things get done, and advance technology adoption. Though governments are watching deals more closely and changing how they get structured, the appetite for investments stays strong. Some 79% of those surveyed are planning initiatives in 2026. Trust gap holds back AI deployment But serious doubts remain about how far companies will let AI systems operate on their own. Separate research from Harvard Business Review Analytic Services, backed by Workato and Amazon Web Services, found that only 6% of firms completely trust AI to run their most important business operations without supervision. The Harvard study gathered responses from 603 business and technology leaders worldwide in July 2025. It shows a sharp divide between excitement about AI and willingness to deploy it for critical work. Among those surveyed, 43% said they trust AI systems only for basic or repetitive tasks. Another 39% limit them to monitored situations or less important processes. Companies seem willing to test things out but hesitant to hand over decisions affecting money, customers, or employees. Still, adoption moves quickly. 9% of organizations report full deployment of AI systems that can act on their own, and half are testing or exploring potential uses. Only 10% decided against moving forward after initial review. Looking ahead, 86% expect to increase spending on such AI systems over the next two years. Companies acknowledge gaps in preparation, though. Just 20% say their technology setup fully supports AI for core work. Only 15% report ready data and systems, and just 12% feel their risk controls are adequate. Using combined measures of infrastructure, data, cybersecurity , and oversight, researchers classified 27% of organizations as leaders, 50% as followers, and 24% as laggards. If you're reading this, you’re already ahead. Stay there with our newsletter .

20 Jan 2026, 12:17

Pendle Retires vePENDLE, Launches Flexible New Token sPENDLE

The DeFi yield protocol Pendle is removing its governance token, vePENDLE, and introducing a new token, sPENDLE .

20 Jan 2026, 12:17

Morning Crypto Report: $74.68 Million XRP Bull Makes Brutal Mistake, Bitcoin Briefly Hits $0 On Decentralized Exchange, Shiba Inu (SHIB) Delivers 5,407,865% Liq...

Tuesday on the crypto market is full of Greenland drama and tariff war heat, with a $14 million XRP whale wipeout, Bitcoin glitching to $0 and Shiba Inu's 5,407,865% liquidation explosion.

20 Jan 2026, 12:10

HyperLend unveils HPL token, commits 30% supply to incentives

HyperLend, a lending protocol built on Hyperliquid’s HyperEVM blockchain, has announce d to kenomics for its native HPL token, allocating nearly a third of its supply to ecosystem growth and incentives. The protocol, which positions itself as core banking infrastructure for the Hyperliquid ecosystem, raised $1.7 million from investors including RockawayX, Nucleus, Vistula Capital, Dewhales Capital, No Limit Holdings, Duplicate Capital, Dumpster, and YAM. The platform also has strategic partners, which include Aave, Chainlink, Circle, Ethena, Wintermute, Pyth Network, RedStone, and Resolv, among others. How’s HyperLend allocating its tokens? According to HPL’s tokenomics , 30.14% of the total supply has been earmarked for ecosystem growth and incentives, and it is the largest single allocation. Genesis participants will receive 25%, while core contributors have been allocated 22.5%. Strategic investors will receive 17.36%, with the remaining 5% dedicated to liquidity provision. According to the HyperLend team, the vesting structure has been designed to ensure long-term alignment among stakeholders. The platform stated that its strategic investors will receive 10% of their allocation at the token generation event (TGE), followed by a four-month cliff period and a two-year linear unlock. Core contributors have a one-year cliff and a two-year linear unlock schedule. Builder-code exchanges and HIP-3 exchanges operating within the Hyperliquid ecosystem will be able to integrate HyperLend to add native credit rails and collateral efficiency without rebuilding a credit layer from scratch. When are staking and rebates kicking off? Staking and locking features will launch shortly after the TGE, though HyperLend stated at least twice in its announcement that the token is not yet live and any circulating tokens or claim links are illegitimate. The protocol has urged users to only trust announcements and links published through official HyperLend channels. According to HyperLend, “Rebates will be funded from the reserve factor and distributed based on stake or lock requirements and participation criteria.” The platform added that more details on staking mechanics and rebate structures will be shared closer to activation. HyperEVM’s launch in early 2025 brought general-purpose programmability to Hyperliquid, opening the door for sophisticated financial applications beyond the platform’s native perpetual trading functionality. It has since expanded to over 100 decentralized applications, signaling growing developer interest in building on the infrastructure. The smartest crypto minds already read our newsletter. Want in? Join them .

20 Jan 2026, 12:10

Trend Research Withdraws $30.8M in ETH from Binance in a Strategic Masterstroke for DeFi Leverage

BitcoinWorld Trend Research Withdraws $30.8M in ETH from Binance in a Strategic Masterstroke for DeFi Leverage In a significant on-chain maneuver that captured the attention of crypto analysts worldwide, Trend Research, a prominent subsidiary of LD Capital, executed a substantial withdrawal of 9,939 Ethereum (ETH) valued at approximately $30.85 million from the Binance exchange on March 21, 2025. Subsequently, the firm deposited this considerable sum into the decentralized lending protocol Aave and borrowed 20 million USDT against it. This transaction, first reported by the analytics platform Onchain Lens, represents a sophisticated deployment of capital within the decentralized finance (DeFi) ecosystem. Furthermore, it highlights a continuing trend among institutional players to utilize their crypto holdings for yield generation and strategic liquidity without selling their core assets. Trend Research’s $30.8M ETH Withdrawal from Binance: A Transaction Breakdown Blockchain data provides a transparent ledger of Trend Research’s recent activity. The firm initiated the process by moving 9,939 ETH from a Binance hot wallet to a controlled address. At the time of the transaction, the Ethereum price hovered around $3,104, giving the withdrawal a total dollar value of $30.85 million. This move alone signals a shift from holding assets on a centralized exchange (CEX) to self-custody, often interpreted as a longer-term holding strategy. Following the withdrawal, Trend Research interacted directly with the Aave smart contract on the Ethereum mainnet. The firm deposited the entire ETH sum as collateral into the protocol. Consequently, Aave’s algorithmic lending system allowed Trend Research to borrow 20 million USDT against this collateral, maintaining a conservative loan-to-value (LTV) ratio well within safe limits to avoid liquidation risks. This strategy, known as a “collateralized debt position” (CDP), is a cornerstone of DeFi. It enables holders to access liquidity in the form of stablecoins like USDT without triggering a taxable event from selling their appreciating assets like Ethereum. The borrowed USDT can then be deployed for various purposes, including: Further investment opportunities: Capital for trading, venture investments, or providing liquidity in other protocols. Operational expenses: Funding for business operations without converting ETH to fiat. Yield farming strategies: Using the USDT to earn interest in other DeFi applications, potentially creating a positive carry trade. The Broader Context of Institutional DeFi Adoption Trend Research’s transaction is not an isolated event but part of a larger narrative of institutional engagement with decentralized finance. LD Capital, its parent firm, is a well-known crypto-focused venture capital and hedge fund entity with a significant track record. Onchain Lens’s report also revealed that Trend Research’s total ETH holdings now stand at a formidable 636,815 ETH. This positions the firm as a major whale in the Ethereum ecosystem, with actions that can signal confidence or strategic shifts to the broader market. The move from Binance to Aave specifically underscores a maturation in the risk management approaches of sophisticated players. They are increasingly comfortable using transparent, code-governed protocols over traditional financial intermediaries for specific functions. Comparatively, similar strategies have been observed with other large entities throughout 2024 and into 2025. For instance, several family offices and hedge funds have used MakerDAO, Compound, and Aave to leverage their Bitcoin (via wrapped BTC) and Ethereum holdings. The table below outlines key differences between holding on an exchange versus using a DeFi lending protocol: Aspect Holding on Centralized Exchange (e.g., Binance) Using DeFi Lending (e.g., Aave) Custody Exchange holds private keys (custodial). User holds private keys (non-custodial). Asset Utility Typically idle or used for margin trading on the exchange. Assets earn yield as collateral; user can borrow against them. Counterparty Risk Risk tied to the exchange’s solvency and security. Risk shifted to smart contract security and protocol economics. Transparency Opaque; internal ledger. Fully transparent on the public blockchain. Expert Analysis: Decoding the Strategic Implications Market analysts interpret such moves through multiple lenses. Firstly, withdrawing a large sum from an exchange reduces the immediate sell pressure on ETH, as those coins are moved into a contract not designed for quick sale. This can be a mildly bullish on-chain signal. Secondly, borrowing USDT against ETH suggests the firm needs dollar-pegged liquidity but believes Ethereum’s value will appreciate over the loan’s duration, making the borrowing cost negligible relative to asset growth. The interest rate for borrowing USDT on Aave is variable, based on pool utilization, but this cost is often viewed as a premium for maintaining asset exposure. “This is a classic capital efficiency play from a sophisticated holder,” explains a veteran on-chain analyst who prefers anonymity due to firm policy. “They are likely achieving one of two goals: either leveraging up to increase exposure to other assets while keeping their ETH stack intact, or funding operations in a tax-efficient manner. The conservative LTV ratio indicates prudent risk management, not speculative frenzy.” The timing is also noteworthy. Activity on Aave and similar lending platforms often increases during periods of market consolidation or when investors anticipate volatility but do not wish to exit positions. Potential Market Impact and Future Trajectory The immediate market impact of a single $30.8 million withdrawal is typically minimal relative to daily global exchange volume, which often exceeds $10 billion. However, the psychological and signaling impact carries more weight. When a firm with over 600,000 ETH makes a public on-chain move, other large holders and traders take note. It validates the use of DeFi protocols for institutional-scale finance. Moreover, it demonstrates confidence in the security and reliability of the Aave protocol after years of stress-testing and upgrades. This could encourage other large ETH holders to explore similar strategies, potentially increasing total value locked (TVL) in DeFi lending markets. Looking forward, observers will monitor the borrowed USDT’s destination. If the funds are deposited into another protocol or used to purchase additional assets, it will create further on-chain trails. The health of Trend Research’s position on Aave will also be watchable in real-time. Should Ethereum’s price drop significantly, the firm may need to add more collateral or repay part of the loan to avoid automatic liquidation by the protocol’s keepers. This public accountability is a fundamental shift from the opaque leverage used in traditional finance. Conclusion Trend Research’s withdrawal of $30.8 million in ETH from Binance and its subsequent deployment into the Aave lending protocol epitomizes the advanced financial engineering now possible within the cryptocurrency sector. This strategic move allows the firm to retain ownership of a substantial Ethereum position while accessing liquid USDT for other ventures. It reflects a broader trend of institutional adoption of DeFi tools for capital efficiency and risk management. As the blockchain space continues to mature, such transparent, on-chain transactions from major players like Trend Research will likely become more commonplace, further blurring the lines between traditional and decentralized finance and underscoring the growing utility of foundational assets like Ethereum. FAQs Q1: What exactly did Trend Research do with its ETH? Trend Research withdrew 9,939 ETH from Binance, deposited it as collateral into the Aave lending protocol, and borrowed 20 million USDT against that collateral. Q2: Why would a firm borrow money against its cryptocurrency? This strategy provides liquidity (cash-like stablecoins) without selling the underlying crypto asset, avoiding capital gains taxes and allowing the holder to maintain exposure to potential price appreciation. Q3: Is moving assets from Binance to Aave considered safer? It shifts risk from the exchange’s custodial security to the smart contract risk of Aave. For large holders seeking self-custody and asset utility, DeFi protocols can offer more control and functionality. Q4: What does this transaction signal about the market? It signals confidence in holding ETH long-term and sophistication in using DeFi tools. Large withdrawals from exchanges can reduce immediate sell pressure. Q5: How can I track transactions like this? Analytics platforms like Onchain Lens, Nansen, and Etherscan provide tools to track whale wallets, exchange flows, and DeFi protocol interactions on public blockchains. This post Trend Research Withdraws $30.8M in ETH from Binance in a Strategic Masterstroke for DeFi Leverage first appeared on BitcoinWorld .