The industry's first licensed institutional-grade index token will be available to trade on Kraken
NEW YORK, Sept. 24, 2025 /PRNewswire/ -- Reserve, the industry's leading platform for DTFs (Decentralized Token Folios), has announced the Large Cap Index DTF (LCAP), in partnership with CF Benchmarks, the UK FCA-regulated crypto index provider behind BlackRock's Bitcoin ETF. LCAP is an onchain index token providing investors with access to a diversified basket of large-cap crypto assets. Powered by Reserve, the DTF tracks the CF Large Cap Index calculated and published by CF Benchmarks. With MEV Capital as the trading partner, LCAP gains institutional-grade scale and execution.
The $LCAP offers a new way to gain broad, diversified exposure to the largest assets in crypto with a single token. Tracking a total of ten diversified-weighted cryptocurrencies, including Bitcoin (BTC), Ether (ETH) and XRP, LCAP enables eligible users to gain onchain exposure to some of the most prominent names in crypto with ETF-like simplicity.
LCAP is the first onchain index token to trade on Kraken, one of the world's largest digital asset platforms.
"For the first time, we're seeing retail and institutional customers gain access to diversified crypto index products in a highly-liquid venue like Kraken," said Thomas Mattimore, CEO of ABC Labs, a contributor to the Reserve ecosystem. "LCAP gives users access to approximately 90% of the total cryptocurrency market cap in a decentralized, diversified index-based investment product that looks and feels like an ETF, but with the speed and availability of crypto".
Unlike synthetic index tokens, LCAP is backed 1:1 by assets held in smart contracts, benchmarked and weighted according to the CF Benchmarks Large Cap Index (Diversified Weight), and rebalanced on a quarterly basis. A DTF is always redeemable for the assets in the basket, ensuring its value remains aligned with the underlying tokens.
"The launch of LCAP is a major milestone in crypto financial innovation," said Sui Chung, CEO of CF Benchmarks. "By tracking our Large-Cap Index, LCAP will seamlessly deliver diversified exposure to the largest digital assets through one tokenized vehicle. The convergence of tokenization and robust benchmarking stands to open up new paths for investors to gain straightforward market access at scale."
Reserve has already seen over $500M in TVL across its suite of Index and Yield DTFs, which allow users to earn diversified onchain yield on ETH and USDC. LCAP can be minted and redeemed at any time.
For more information about LCAP, please visit: https://reserve.org/lcap-kraken/
About ABC Labs:
ABC Labs is the team behind Reserve Yield and Index Protocols. Their mission is to fight inflation and expand access to better financial products.
About Reserve:
Reserve is a free, permissionless platform to create, own, and govern DTFs (Decentralized Token Folios) — index products and asset-backed currencies launched on its protocols. Reserve's mission is to create a more accessible financial system through decentralized index technology, allowing anyone to build and manage token baskets that work like traditional ETFs but with the benefits of blockchain.
For more information, visit reserve.org
About CF Benchmarks:
CF Benchmarks is the leading regulated cryptocurrency index provider. Authorized and regulated by the UK Financial Conduct Authority (UK FCA) under the UK Benchmarks Regulation (UK BMR). CF Benchmarks (FRN 847100) is on the FCA Benchmarks Register. Benchmark indices are provided through fully replicable public methodologies and transparent governance, for tracking, valuing and settling risk in cryptocurrency products and services.
CF Benchmarks' indices are integrated into some of the largest regulated crypto products by assets. This includes six out of the 11 spot bitcoin ETFs in the US (IBIT, ARKB, EZBC, BITB, BRRR & BTCW) and 99% of the regulated crypto derivatives market, including crypto derivatives offered by CME Group. In total, over $125bn of assets are referenced to CF Benchmarks indices.
For a full list of products that are referenced against CF Benchmarks indices, please visit our website.
About Kraken:
Founded in 2011, Kraken is one of the world's longest-standing and most secure crypto platforms globally. Kraken clients trade more than 450 digital assets, traditional assets such as U.S. futures and U.S.-listed stocks and ETFs, and 6 different national currencies, including GBP, EUR, USD, CAD, CHF, and AUD. Trusted by more than 15 million institutions, professional traders and consumers, Kraken is one of the fastest, most liquid and performant trading platforms available.
Kraken's suite of products and services includes the Kraken App, Kraken Pro, the Krak App, Kraken Institutional, Kraken Onchain and the Ninja Trader retail trading platform. Across these offerings, clients can buy, sell, stake, earn rewards, send and receive assets, custody holdings, and access advanced trading, derivatives, and portfolio management tools.
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Reserve and CF Benchmarks Partner on First Index Token, Tracking Over 90% of Crypto Market Cap
- Almost half of senior leaders (46%) say they are prepared only to a small extent to lead organisation-wide transformation driven by AI, while 2% report being not prepared at all.
- Keeping pace with rapidly evolving AI technology is cited as the most significant challenge (40%) faced by senior leaders, followed by regulatory and compliance uncertainty (37%) and insufficient budget or resources for AI adoption (36%).
- Only about a third of senior leaders (34%) have attended formal training or upskilling related to leadership in the AI era within the past two years. Over half (53%) are planning to do so in the coming months and years, with 13% reporting no plans to undertake such training.
- The most common shift in leadership approach is an increased focus on people management during AI-driven change, cited by 37% of leaders, particularly in supporting morale and employee well-being. This is followed by greater time spent on upskilling themselves and their teams (31%), and on strategic decision-making (30%).
SINGAPORE, July 23, 2026 /PRNewswire/ -- Artificial Intelligence (AI) is reshaping how organisations operate and compete. However, the leaders responsible for steering this transformation report a gap between what is expected of them and their preparedness to deliver. Almost half of senior leaders (46%) say they are prepared only to a small extent to lead organisation-wide transformation driven by AI, while a further 2% report being not prepared at all. In comparison, 37% are prepared to a moderate extent, and only 15% consider themselves prepared to a large extent.
Senior leaders identify several factors contributing to this readiness gap. Keeping pace with rapidly evolving AI technology is cited as the top challenge (40%), followed by regulatory and compliance uncertainty (37%). Resource constraints are also a key pressure point, with 36% pointing to insufficient budget or resources for AI adoption. In addition, 34% highlight challenges related to data quality and governance, while another 34% cite the need to upskill or reskill employees to work effectively alongside AI.
These are some of the key findings from NTUC LearningHub's Special Report on Leadership in an AI-Driven World. The report surveyed 131 senior leaders from organisations of different sizes and across industries, including Infocomm Technology, Finance, Advanced Manufacturing, Healthcare and others. All respondents reported some level of experience with AI and are involved, to varying degrees, in AI adoption decisions within their organisation.
This readiness gap extends into decision-making. Senior leaders generally express moderate levels of confidence in making high-stakes AI-related decisions. Over two in five (43%) report being quite confident, while 13% say they are very confident. However, 40% indicate they are not very confident and 4% not confident at all.
Despite that, only about a third of senior leaders (34%) have attended formal training or upskilling on leading in an AI-driven workplace within the past two years. Among those who have not yet done so, many indicate plans to pursue training, including 22% within the next six months, 20% within the next year, and 11% within the next two years. Only 13% report having no plans to undertake such training. Among the training areas leaders prioritise, AI literacy and strategic understanding (57%) emerge as the key priority, followed by data-driven decision-making (46%), and ethical AI governance and responsible deployment (40%).
Alongside this, the most common shift in leadership approach is an increased focus on people management during AI-driven change, cited by 37% of leaders, particularly in supporting morale and employee well-being. This is followed by greater time spent on upskilling themselves and their teams (31%) and on strategic decision-making (30%). Ethical and governance considerations also feature strongly at 27%, alongside a similar share who report dedicating more effort to change management (27%), including communicating how AI may affect roles and ways of working.
These shifts reflect a broader recognition among leaders that navigating AI transformation requires more than technical fluency alone. Two in five (40%) senior leaders regard human-centric skills as very important in leading an organisation in the AI era, while nearly half (48%) consider them to be quite important. Among the capabilities leaders consider most critical, creative thinking and critical thinking each emerge at 47%, closely followed by sense-making (46%), problem-solving (44%) and effective communication (43%).
Commenting on the report's findings, Mr Sean Lim, Chief Human Resource Officer, NTUC LearningHub, says, "The gap between expectation and readiness reflects a fundamental shift in what is required of leadership in today's AI era. Leaders were once expected to hold all the answers and direct from the top. However, they must now act as strategic navigators, making sense of complexity and providing guidance through this period of rapid change and uncertainty. This means a shift towards coaching and empowering people, while also aligning competing priorities across technology, business and operational needs. It is a demanding shift, but it is encouraging to know that many senior leaders are already planning to further their own development to lead their teams through this period of AI transformation."
To download the Special Report on Leadership in an AI-Driven World, please visit https://www.ntuclearninghub.com/media/research-reports/2026/Leadership-AI-World. To find out more about the courses, training, and grants, please contact NTUC LearningHub at www.ntuclearninghub.com.
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About NTUC LearningHub
NTUC LearningHub is the leading Continuing Education and Training provider in Singapore which aims to transform the lifelong employability of working people. Since our corporatisation in 2004, we have been working with employers and individual learners to provide learning solutions in areas such as Infocomm Technology, Generative AI & Cloud, Healthcare, Retail & Food Services, Employability & Literacy, Business Excellence, Workplace Safety & Health, Security, Human Resources & Coaching and Foreign Workers Training.
To date, NTUC LearningHub has helped over 34,000 organisations and achieved more than 3.2 million training places across more than 1,000 courses with a pool of about 1,000 certified trainers. As a Total Learning Solutions provider to organisations, we also forge partnerships to offer a wide range of relevant end-to-end training. Besides in-person training, we also offer instructor-led virtual live classes (VLCs) and asynchronous online learning. The NTUC LearningHub Learning eXperience Platform (LXP)—a one-stop online learning platform—offers timely, bite-sized and quality content for learners to upskill anytime and anywhere. Beyond learning, LXP also serves as a platform for jobs and skills development for both workers and companies.
For more information, visit www.ntuclearninghub.com.
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Nearly Half of Senior Leaders Feel Only Partly Prepared to Lead AI Transformation, as Ambition Outpaces Readiness
