Key PointsIt's tempting to think about investments in terms of their price.It's usually more constructive to examine an asset's value drivers.In XRP's case, holders don't necessari

Key PointsAstera Labs is capitalizing on the growing networking opportunities inside next-generation AI infrastructure.Marvell is playing a crucial role in enabling hyperscalers to

TradingKey - During the Asian trading session on May 26, the Nikkei 225 Index hit a record high at the open before turning lower as investors locked in profits at elevated levels. SoftBank Group, howe

Key PointsArmstrong World Industries reported record sales in the first quarter.Carlisle Companies is just one year away from becoming a Dividend King.Both stocks raised their divi

TradingKey - On May 20 local time, SB Energy Corp. (ELPC), a digital infrastructure company backed by SoftBank Group, announced that it has confidentially submitted a draft registration statement on F

Key PointsOasis Management Co Ltd. added 237,162 shares of Vail Resorts; estimated trade size of $32.35 million (based on the quarterly average price).Post-trade stake was 2,088,39

Key PointsGreen Thumb is one of the few consistently profitable cannabis companies.Green Thumb and Procter & Gamble focus on quality brands.Each is known for conservative growth wi

@media (max-width: 768px) { .image-container { width: 100% !important; float: none !important; m

At a pivotal moment when AI technology is shifting from model competition to industrial application, Xunce (3317.HK) officially launched TokenONE, the world’s first TokenOS operating system, on May 25,2026.Centered on the Token as the core asset unit, TokenONE establishes an industrialized production system that transforms raw data into high-value scenario-specific Tokens. It directly tackles the current bottleneck hindering AI adoption – the scarcity of enterprise-grade scenario data – and provides a solution to the toughest "last mile" challenge of large-scale AI deployment, sparking an industrial revolution modeled on the "Token Factory".A New Operating System for the AI Era: Ten Key Product Differentiators Build a Strong MoatAs a next-generation operating system for the native AI era – following Windows in the PC age and iOS/Android in the mobile internet era – TokenONE empowers enterprise data to be directly invoked by AI models as data Tokens. Every model invocation generates quantifiable and traceable business value and insights, driving large-scale commercial adoption of Token Factories across industries.Throughout the entire chain of data refining, transmission, decision‑making, and metering, TokenONE transforms each model invocation and application from mere compute consumption into measurable, traceable, and optimizable business value. Every Token drives business decisions directly, making large model outputs quantifiable.With ten distinct technological and product advantages, TokenONE builds the core capabilities of a Token Factory that closes the loop from data to value.Turning "Dormant Data" into "High‑Energy AI Fuel" – Igniting the Token Factory Industrial RevolutionWhile today’s large models boast massive parameter counts, they suffer from an acute shortage of enterprise‑grade scenario data. For example, in finance, risk control logic is embedded in transaction records and risk reports; in manufacturing, process know‑how is locked in equipment logs and quality inspection documents; in healthcare, diagnostic expertise is scattered across imaging files and medical record systems. The vast amounts of high‑quality data, industry knowledge, and scenario experience accumulated by enterprises remain "dormant" and cannot be effectively accessed by AI.TokenONE precisely addresses this pain point. It converts otherwise non‑standard and unusable scenario knowledge into standardized, tradable, and auditable scenario Tokens – a process of data Tokenization. This turns dormant data into high‑energy AI production materials and makes large‑scale industrialization of scenario Tokens a reality.On the "industrialized" output side of the Token Factory, TokenONE establishes nine standardized processing stages and five core workflows, enabling end‑to‑end industrialized production of raw data – from "material entry" to "value realization". It upgrades data processing from a "handicraft workshop" model into a replicable, scalable, and auditable mass‑production system.Foundation Layer – Standardized Material Entry. TokenONE connects multi‑source heterogeneous data from inside and outside the enterprise. Its intelligent cleaning and standardization engine converts "messy and dirty" raw data into uniformly specified "industrial raw materials".Middle Layer – Core Refinery. Standardized data enters the Token Factory’s core production line. The real‑time computing engine completes deep processing at millisecond speeds, performs precise mapping using vertical scenario labels, and finally packages the results into measurable, pricable, and exchangeable scenario Tokens.Application & Frontier Layer – Value Realization. Packaged scenario Tokens are precisely injected into various AI agents. Through model tuning modules, they empower large models and intelligent hardware, directly driving business decisions. Every downstream call is a value realization event.Metering Layer – The World’s First Pay‑per‑Invocation Operating System. From hardware isolation to system‑level attestation, TokenONE ensures tamper‑proof and fully transparent billing, enabling security, compliance, governance, and auditing. It shatters the industry’s "black box" of billing, helping enterprises identify inefficient or wasteful consumption, and transforms AI spending from a passive cost into an actively managed, controllable asset.An Industrial Enabler for Large‑Scale AI Deployment: Building Scenario Token Factories Across IndustriesThe AI industry stands at a critical inflection point, transitioning from the first half – a race for model parameters – to the second half, where real value realization takes center stage. The bridge enabling this shift is the Tokenization and industrialized supply of scenario data. As an industry‑scale bridge, TokenONE provides customers with ready‑to‑use, standardized scenario Tokens, lowering the barriers to AI adoption. It also supplies large model providers with massive volumes of vertical domain data, systematically solving the pain point of scenario data scarcity. Moreover, it establishes a benchmark for "Token production" across the entire AI industry, accelerating AI’s journey from labs to every sector and ensuring that AI delivers tangible value.Looking ahead, Xunce will continue to build on the TokenONE architecture and co‑establish vertical scenario Token Factories with industry leaders, covering high‑value fields such as healthcare, high‑end manufacturing, finance, and energy & power. This will embed the industrial capability of data Tokenization into every critical industry, forming a new type of infrastructure network that deeply integrates AI with the real economy.Business Model: From Data Governance to a Closed‑Loop Token EconomyTo put the commercial essence of TokenONE more directly: it is essentially a "Tokenized upgrade" of Palantir’s Ontology – or Ontology 2.0. Palantir’s Ontology breaks down government and enterprise data silos to enable data‑driven decision intelligence, but data itself remains a "static asset". TokenONE goes a step further: by encapsulating data into Tokens, it endows data with measurable, pricable, and tradable economic attributes, transforming data from "static assets" into "dynamic production materials". While Ontology 1.0 solves "how data can be understood", TokenONE solves how data can be industrially produced and monetized.This commercial core is externalized into two pricing paths that grow in sync with customers’ maturity:Pay‑per‑Token Metering – Lowering the decision threshold for enterprise AI adoption. Billing is based on actual Token consumption, settled monthly or quarterly – pay for what you use. This "verify‑first, invest‑later" design ensures that the value of the AI system grows in step with the customer’s actual usage.Full Buyout – Once an enterprise has fully validated the business value of the AI system and has a clear expectation of long‑term use, it can seamlessly upgrade to a buyout model, acquiring full system ownership and absolute data sovereignty. Historical pay‑per‑Token payments can be credited toward the buyout price proportionally, fully protecting the customer’s prior investment.The pricing logic also departs from the old "compute‑stacking" framework, instead building value around the Token’s business impact: the per‑invocation price depends on data scarcity, real‑time requirements, and industry complexity; invocation volume reflects actual usage depth in real business processes; and module depth measures how deeply the system is embedded into the customer’s workflows – the more access points and the deeper the integration, the higher the overall value.Market data is already validating the explosive potential of this model. In April 2026, Xunce’s annualized recurring revenue (ARR) from Token data invocation grew 300% quarter‑on‑quarter. Token‑based pricing currently accounts for approximately 5% of revenue, with a target to raise that to 20%–30% by the end of 2026. Even more striking is the pricing power: Xunce’s vertical‑domain Token pricing ranges from USD10-100 per million Tokens – more than ten times that of general‑purpose large models – and continues to rise with greater scenario specificity. This indicates that Xunce is undergoing a systemic shift from traditional subscription models to Token‑based metering and value‑sharing models, with the Token business becoming a powerful new growth engine.ConclusionThe AI industry is currently at a turning point – moving from "lab invention" to "real‑world commercial value realization". Large model providers are obsessively racing for more parameters, but a growing consensus recognizes that models without scenario data are engines without fuel.Just as iOS and Android unified the underlying logic of the mobile internet, Xunce’s TokenONE is defining the underlying rules of the AI era – starting from real‑world industry scenarios, connecting technology and resources through data, and making large‑scale deployment of scenario Token Factories a reality. As more vertical industry Token Factories come online, Xunce is poised to become a core platform with phenomenal influence in the AI era and a leading driver of AI deployment.26/05/2026 Dissemination of a Financial Press Release, transmitted by EQS News.The issuer is solely responsible for the content of this announcement.Media archive at www.todayir.com

While the global AI industry remains mired in an arms race over parameter scales and compute clusters, a deeper structural contradiction is surfacing, large language models have no shortage of engines, yet they face a critical shortage of the “fuel” needed to power those engines at peak performance. The true inflection point of this competition has quietly shifted from “building engines” to “refining fuel”.TokenONE: A New AI-Native Operating System Built Around Token EconomicsWithout high-octane fuel, even the best engine runs inefficiently. Over the past two years, the AI industry has frantically scaled up model parameters and expanded compute clusters. Yet when these models enter the core operations of enterprises, the limitations of generic Tokens become starkly apparent — they function like low-grade gasoline: abundant in volume but low in energy density. Enterprises attempting to solve specialized problems with generic Tokens often require repeated iterations, resulting in massive amounts of wasted compute.What enterprises need is not a metering device that charges “by the word,” but Specialized Tokens that can hit business decisions on the first try. Specialized Tokens are precisely this “high-octane fuel” — refined from industry-specific private data through cleansing, standardization, alignment, and knowledge augmentation. A single Specialized Token carries information density and business logic equivalent to hundreds of generic Tokens stacked together.Xunce (03317.HK) has unveiled the world’s first TokenOS operating system — TokenONE. With “refinement, delivery, and decision-making” as its core capabilities, TokenONE transforms raw data into high-purity, high-value “Specialized Tokens” through an industrialized process, enabling direct consumption by various models and AI Agents while making LLM outputs measurable and auditable.An End-to-End Industrial PipelineTokenONE operates around a complete industrial assembly line. It begins by addressing the “raw material intake” challenge — through its data tokenization capability, it converts enterprises’ fragmented, heterogeneous, non-standard private data into measurable, priceable, and exchangeable industrial raw materials. Whether financial risk-control logs, manufacturing equipment records, or medical imaging archives, TokenONE delivers precise cleansing, standardization, and tagging.Once raw materials enter the “refinery,” TokenONE’s multi-compute foundation comes into play. Its unifiedly interfaces with GPU, CPU, and NPU resources, supporting hybrid cloud and on-premises deployment. This ensures that core data never leaves the enterprise’s domain while flexibly scheduling computed resources. The real-time compute engine completes deep processing at millisecond speeds, pursuing 100% accuracy in specialized professional scenarios — a critical requirement for zero-tolerance domains such as financial risk control and industrial quality inspection.At the final value-delivery stage, TokenONE is fully LLM-native and not bound to any single model vendor. Enterprises can flexibly switch and orchestrate both general-purpose large models and vertical models on the platform. TokenONE also supports enterprises in rapid training, fine-tuning, and deploying proprietary vertical models and small models — achieving lower costs, faster inference speeds, and fully private on-premise operation. From data ingestion to model invocation, TokenONE covers the full chain and takes responsibility for the final business outcome.The “Ford Moment” for the AI Industry: Vertical Token Factories Go IndustrialFrom a strategic perspective, TokenONE’s significance extends far beyond a technical solution. For the first time, it has defined an industrial production paradigm for “core production materials” in the AI industry — much as Ford’s assembly line transformed automobile manufacturing from artisanal workshops to mass production, and as container standardization turned global trade from fragmented cargo handling into systematized logistics. TokenONE replicates this logic in the AI domain: transforming Tokens from “artisanal” custom processing to industrialized, standardized output.This complete industrial system delivers breakthroughs on three levels:For enterprise clients, TokenONE compresses AI deployment cycles from months to days. Token Factories directly output standardized Specialized Tokens, making AI investments measurable and traceable.For LLM vendors, TokenONE provides scalable vertical data supply, systematically addressing the industry bottleneck of scarce specialized data.For the AI industry at large, TokenONE drives a paradigm shift from “project-based” to “product-based” delivery, and from “custom development” to “standardized supply” — a prerequisite for AI to move from laboratories into production systems.The Second Half Has BegunThe AI industry is undergoing a historic transition from “technology-driven” to “production-driven.” The winners of the first half were companies with the strongest computing and the most parameters. The winners of the second half will be those capable of bringing AI into production systems on a scale, at low cost, and in a measurable way. The launch of TokenONE marks the official beginning of this second half.Built on the underlying architecture of this Token Factory, Xunce is now partnering with leading enterprises across vertical industries to co-build Vertical Token Factories — extending the industrialized capability of data tokenization into every critical sector: finance, healthcare, manufacturing, and energy. Each Vertical Token Factory that comes online represents a material expansion of AI’s application boundary within that industry. When Specialized Tokens become the “standard interface” for AI systems across industries, AI will have truly entered the core of production.While the industry continues debating model parameters, Xunce has already built the “infrastructure” and “power source” of the AI era. From “crude oil” to “high-octane fuel,” from “artisanal workshops” to “industrial production,” TokenONE is writing the underlying logic for the next decade of the AI industry.As a scarce asset in the AI infrastructure space, Xunce’s long-term investment value is accelerating in tandem with the industrialization of Token Factories.26/05/2026 Dissemination of a Financial Press Release, transmitted by EQS News.The issuer is solely responsible for the content of this announcement.Media archive at www.todayir.com

Key PointsAbsci uses generative AI to design protein drugs before they are tested in a lab.Partnerships with Merck and Owkin validate Absci's hybrid AI-wet-lab drug platform.Long-t

Key PointsNvidia has been labeled "overvalued" for years due to its rapid growth.The numbers don't back that up, as it trades at a lower valuation than other top chipmakers.Nvidia

@media (max-width: 768px) { .image-container { width: 100% !important; float: none !important; m

Key PointsBooking operates at a notably larger scale, consistently generating substantially higher total revenue than Airbnb across all recent reporting periods.Both companies expe

Key PointsGlobal oil inventories fall a little more every day the geopolitical conflict in the Middle East continues.With oil inventories at an 11-year low, a resolution to the con

Key PointsSocial Security has long run a surplus.However, the surplus is shrinking.If nothing is done, everyone's future Social Security benefits will shrink -- by a lot.The $23,76

Track the Market TrendTradingKey - Stock futures jumped on Monday night as oil prices slid and hope grew that a resolution to the U.S.-Iran war was within reach.Dow Jones Industrial Average futures po

Key PointsCEO and company founder Roger Susi sold 7,500 indirectly-held shares for a total transaction value of ~$657,000 at a weighted average price of around $87.64 per share on

TradingKey - On Tuesday, May 26, South Korea's KOSPI index broke through the 8,000-point mark at the open, rising more than 3% to hit a record high; the Nikkei 225 index opened 0.23% higher at 65,305.

Key PointsCRISPR Therapeutics has an approved product and several gene editing medicines in development.Beam Therapeutics is exploring ways to develop safer gene-editing therapies.

Key PointsOver the past five years, Solana is up 144%, while Ethereum is down 5%.Solana is a faster, cheaper blockchain to use than Ethereum, giving it an edge in areas such as dec

Key PointsNon-traded business development companies have been limiting withdrawals, suggesting investor concerns about private credit.Those concerns are reasonable, but JPMorgan Ch

Key PointsEnthusiasm for Viking Therapeutics and its weight-loss candidate has come and gone, and for good reason.While Viking is still trying to bring its first candidate to marke

Key PointsSoundHound's Oasys platform can quickly create conversational agents that improve over time.The conversational agents can provide assistance in many types of businesses.S

Key PointsRecursion Pharmaceuticals is using AI to improve how we develop drugs. The company has partnered with several major corporations in this quest.The biotech has yet to show

Key PointsNvidia recently announced a significant increase to its payout.The company's robust financials give it plenty of room to make further hikes in the future.Its new yield pu

Key PointsThe latest 2027 Social Security COLA estimate is 3.9%.A COLA this size could push the average spousal Social Security benefit over $1,000 for the first time.The Social Se

Key PointsEli Lilly just reported strong results for a next-generation GLP-1 drug that it is developing. GLP-1 developments in India aren't headline-grabbing news, but they are jus

Explore the exciting world of Karooooo (NASDAQ: KARO) with our contributing expert analysts in this Motley Fool Scoreboard episode. Check out the video below to gain valuable insig

Key PointsPicking a winner in the AI chatbot wars is difficult, especially with competition intensifying.By not closely partnering with any AI model, Microsoft can be in a better p