PM Edition: Top 10 Business Articles on LiveNews.co.nz for August 28, 2026 – Full Text

Source: Morningstar DBRS

27 August 2026

Overview

The emergence of artificial intelligence (AI) has triggered an unprecedented surge in demand for digital infrastructure, particularly data centres. 

Once viewed as a niche segment within real estate and infrastructure markets, these facilities have rapidly evolved into a distinct asset class. 

As AI models grow in scale and complexity, their computational requirements increase exponentially, making data centres essential to supporting this technological transformation. 

Sustaining AI expansion requires significant investment. In the U.S., AI-related spending was estimated at USD 430 billion in 2025 and could more than double by 2029, reflecting both rapid innovation and the capital-intensive demands of computing, storage and energy infrastructure. To support this growth, technology companies have raised around USD 300 billion from U.S. investors and increasingly relied on bank financing for AI and data-centre development. Banks have become deeply involved in this ecosystem, not only in the U.S. but also in Europe and the UK through large-scale financing, syndicated lending and securitisation. As a result, the banking sector is increasingly embedded in the expansion of AI-driven digital infrastructure. According to Morningstar DBRS, this creates significant business opportunities for banks whilst also increasing sector concentration risks, prompting active exposure management. However, whilst data-centre lending has been one of the fastest-growing areas of bank credit in recent years, exposures generally remain a modest share of overall loan portfolios. Furthermore, banks employ a range of established risk-management tools, including syndication, concentration limits, exposure caps, portfolio monitoring and risk-transfer mechanisms, to manage sector-specific risks and limit excessive concentration.

Key Highlights

• AI is driving unprecedented investment in data centres, thereby transforming them into a strategic asset class and creating significant financing opportunities for banks through lending, syndication, and capital markets activities.
• Banks’ exposure to the data-centre sector is growing rapidly across the U.S. and Europe, supported by strong demand from hyperscalers and AI developers, but this expansion increases concentration and credit risks.
• Banks are actively managing these risks through syndication, securitisation, and risk-transfer structures, shifting part of the exposure to institutional investors whilst raising new questions around transparency and systemic risk.

Strategic Rationale for Banks’ Exposure to Data Centres

Banks’ exposure to data centres takes multiple forms, including syndicated loans to developers, corporate lending to hyperscalers and infrastructure operators, and capital-markets financing through structured finance transactions. Given the scale of modern AI infrastructure projects, financing is typically arranged by large banking syndicates capable of underwriting substantial amounts of capital. Moreover, banks support the sector through a broad range of capital markets solutions, including M&A advisory, debt arranging and equity capital markets transactions.

U.S. banks remain the dominant participants in the market. Institutions such as JPMorgan, Goldman Sachs, Citigroup, Morgan Stanley, and Wells Fargo regularly arrange multibillion-dollar financings for data-centre developers and AI-related infrastructure. For example, JPMorgan led a USD 7.1 billion construction loan for Crusoe’s Stargate AI campus in Texas in 2025, whilst a consortium led by Morgan Stanley and MUFG provided USD 2.6 billion of financing to CoreWeave later that year.

European banks have also increased their participation through infrastructure lending, project financing, and syndicated transactions, both within Europe and internationally. For instance, Deutsche Bank AG, in September 2025, provided EUR 600 million of financing to Sweden-based EcoDataCenter and participated in AirTrunk’s AUD 4.3 billion financing in Australia alongside other lenders. Beyond traditional bank lending, private credit funds, infrastructure investors, and asset managers are becoming increasingly important capital providers. NVIDIA Corporation’s recently announced initiative to help mobilise more than USD 500 billion for AI infrastructure illustrates both the scale of anticipated investment needs and the growing role of nonbank capital providers.

We believe banks’ involvement in data-centre financing is consistent with their traditional role in supporting large-scale infrastructure and technology investments. The sector offers attractive long-term growth prospects, significant financing needs, and access to strategically important technology clients. In addition to lending income, syndication and capital-markets activities generate substantial fee revenues in a normalising interest rate environment, whilst limiting balance sheet usage.

Key Risks Associated With Data-Centre Financing

Despite strong growth prospects, we note that data-centre financing carries several risks for banks. In our view, concentration risk is one of the most significant credit considerations for banks active in the sector. Projects are typically large and often dependent on a limited number of hyperscalers, AI providers, or specialist operators.

Credit risk is also closely linked to expectations regarding future AI adoption. Many investment decisions assume continued growth in demand for computing capacity and the sustained use of new infrastructure. If commercial AI adoption develops more slowly than expected, utilisation rates and cash flows may fall short of projections, weakening borrowers’ ability to service debt.

Data centres are also exposed to technological obsolescence risk, although to a lesser extent. Rapid advances in chip technology, computing architecture, and cooling technologies may reduce existing facilities’ competitiveness, calling for considerable additional investment to remain operationally relevant.

Finally, data centres face asset-specific risks across both the development and operating phases. For facilities under development, permitting delays, construction challenges, power-connection constraints, and cost inflation can adversely affect project performance and increase risks for lenders. For operational assets, revenues often depend on long-term contracts with a relatively small number of tenants, whilst project economics rely on access to reliable and affordable electricity. Energy-price volatility and evolving environmental regulations can adversely affect project performance and increase risks for lenders.

Insurance availability has also become an increasingly important consideration, with higher premiums, tighter coverage terms, and reduced insurer capacity already affecting some large-scale data-centre projects.

Concentration risk at the tenant level remains particularly relevant. Large hyperscalers continue to account for a significant share of industry demand and capacity commitments, creating dependency on a relatively small group of counterparties. Recent market data indicates that hyperscalers represented approximately 59% of North American data-centre tenant demand in 2026, highlighting the importance of monitoring customer concentration and counterparty exposure.

We have also previously highlighted risks related to energy availability and physical security considerations for data centres, which are likely to remain important as the sector continues to expand.

Managing Down Exposures Through Risk Transfer and Securitisation

In response to concentration, capital-allocation, and portfolio-management concerns, banks are increasingly adopting strategies to reduce retained exposures. One primary tool is syndication, which allows institutions to distribute loans across a broader group of lenders and investors, limiting single-name balance sheet exposure. The USD 2.6 billion CoreWeave financing is an example of this approach, with exposure distributed among a large lending syndicate rather than retained by a small number of lead arrangers. Banks are also making greater use of significant risk transfer (SRT) transactions, enabling them to transfer portions of credit risk to external investors whilst preserving client relationships and maintaining lending capacity. In addition, banks increasingly use loan sales and secondary-market transactions to reduce retained exposures, free up capital, and enhance balance sheet flexibility. As a result, institutional investors, including private credit funds, insurance companies, and infrastructure investors, are becoming increasingly important providers of funding for digital infrastructure projects.

Securitisation also plays a growing role. By packaging data-centre loans into ABS and similar structures, banks can convert relatively illiquid exposures into tradable securities and broaden the investor base supporting the sector. For example, Vantage Data Centers completed the first EMEA data-centre ABS transaction in 2024, raising GBP 600 million through securitised notes, whilst Switch issued USD 1.7 billion of data-centre ABS in 2024 and a further USD 3.5 billion of ABS and CMBS financing in 2025. These transactions illustrate how capital markets are increasingly being used to recycle capital and redistribute risk beyond the banking system.

In our view, whilst these mechanisms improve capital efficiency and support the continued expansion of AI infrastructure, they may also create new vulnerabilities. Strong investor demand could weaken underwriting discipline, whilst the migration of exposures from regulated banks to nonbank financial institutions may reduce transparency and complicate the assessment of systemwide risk. Regulators are likely to focus not only on banks’ direct exposures but also on the channels through which AI-related infrastructure risks are redistributed across the broader financial system.

Related Research

• Money Laundering Risks in European Banking: Credit Implications, Emerging Threats and Evolving Supervision (5 August 2026)
• ECB’s Geopolitical Reverse Stress Test: More About Risk Management Than Capital (3 August 2026)
• One Rulebook, Many Markets: The Remaining Barriers to Europe’s Banking Union (28 July 2026)
• European Commission to Further Advance European Banking Integration and Simplify Rules (21 July 2026)
• European Banking Midyear Outlook: Middle East Conflict Not Derailing Positive Earnings Dynamics (20 July 2026)
• European Depositor Preference Reform: Implications for Bank Credit Ratings (30 June 2026)
• Can Europe’s Savings and Investments Union Overcome Fragmentation to Reap Potential Credit Benefits? (15 June 2026)
• Mythos-Class AI Raises Cyber Stakes for European Banks (10 June 2026)
• Middle East Conflict is Leading to Higher Provisions for Some Global Banks (2 June 2026)
• Shifting Demographics Create Structural Challenges for European Banks (2 June 2026)
• Italian Banks’ Solid Q1 2026 Results Support Credit Profiles As Earnings Momentum Normalises (14 May 2026)
• U.S. Data Center Q1 2026 Research (27 April 2026)
• European Banks’ Middle East Exposures: Modest Direct Risk, With Potential Stress Via Indirect Macro-Financial Channels (9 April 2026)
• European Data Centre CMBS: Regulatory Clarity Could Supercharge Italy’s Data Centre Expansion (18 March 2026)
• European Banks’ AT1 Instruments at a Crossroads: Regulatory Reassessment and Market Implications (11 March 2026)
• Data Centres: AI, Power, and the Energy Transition (9 March 2026)
• Middle East Conflict: Direct and Indirect Impact Manageable for Global Banks and Asset Managers (3 March 2026)
• The Expanding Role of Synthetic SRTs in European Bank Capital Planning (2 February 2026)
• Stablecoins and the Digital Euro: The New Frontier for Europe’s Payment Landscape (19 January 2026)

Notes

All figures are in euros unless otherwise noted.

About Morningstar DBRS

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HONG KONG SAR – Media OutReach Newswire – 27 August 2026 – In an era when enterprise software valuations are being fundamentally repriced by the rise of agentic AI, Deepexi Technology Co., Ltd. (1384.HK) has emerged as a rare counterexample: a pure-play enterprise AI platform that is delivering both technology leadership and bottom-line profitability. According to the company’s first interim results following its public listing, Deepexi recorded a 115% year-over-year surge in revenue for the first half of the year, powered by a 209% leap in core AI revenue and a decisive turnaround to quarterly GAAP profitability in the second quarter of 2026. This performance has earned the company “Buy” and “Overweight” ratings from multiple brokerages within its first year of listing.

Quarterly Profitability: A Rare Milestone in Hong Kong’s AI Sector

In capital markets, ambitious visions must ultimately be backed by real financial performance—and Deepexi’s interim results provide clear proof of execution.

For the first half of 2026, the company generated RMB 284.0 million in total revenue, marking a 115.0% year-over-year increase. Its AI business served as the primary growth engine, contributing RMB 226.0 million—an impressive 209.2% year-over-year surge—bringing AI revenue to 79.6% of total corporate turnover.

Even more noteworthy is the marked improvement in profitability. First-half gross profit reached RMB 160.0 million, up 120.5% year-over-year, with gross profit margin expanding to 56.5%. Crucially, during the second quarter of 2026, Deepexi posted a standalone quarterly net profit of approximately RMB 30.1 million, officially crossing the breakeven threshold.

In Hong Kong’s technology sector, pure-play enterprise AI companies capable of achieving quarterly net profitability while sustaining high R&D investment remain exceptionally rare. This milestone underscores Deepexi’s operational efficiency, scalable software delivery, and self-sustaining monetization engine.

This scarcity value is equally evident in the company’s revenue composition and vertical reach. Industrial manufacturing accounted for more than 50% of total revenue, while retail and consumer goods contributed 30%, alongside expanding footholds in healthcare and smart transportation. In manufacturing, for example, equipment troubleshooting and predictive maintenance involve dense engineering schematics, real-time IoT sensor telemetry, and extensive historical maintenance logs—all of which Deepexi translates into structured logic that AI models can readily interpret. This deep vertical expertise and proprietary data accumulation create a formidable competitive barrier that general-purpose AI vendors cannot easily match.

Beyond the “SaaSpocalypse”: Deepexi’s AI-Native Platform Defies the Software Valuation Reset

The first quarter of 2026 witnessed what market observers have dubbed the “SaaSpocalypse”—a tectonic shift in which approximately $2 trillion in market capitalization was erased from B2B software equities, driven by a fundamental fear that agentic AI would cannibalize the traditional per-seat licensing model. The iShares Expanded Tech-Software ETF (IGV) plunged nearly 21% year-to-date, and enterprise software multiples (EV/Sales) cratered from a 5.6x average at the end of 2025 to 4.2x by mid-March.

Investors have pivoted decisively toward AI-native infrastructure—companies that manage the data and underlying plumbing of autonomous systems—while penalizing traditional application-layer SaaS vendors reliant on human-centric interfaces. As a recent Windsor Drake analysis notes, “AI-native agentic platforms clear 14x to 22x revenue, with private rounds at 20x to 30x,” while legacy standalone RPA trades at just 2.5x to 5x. The market is now rewarding AI-native architecture and measurable workflow ownership.

Deepexi sits squarely on the winning side of this divergence. Unlike traditional SaaS vendors whose revenues are tied to human seat counts—and thus vulnerable to agentic displacement—Deepexi’s token-based, consumption-driven model aligns directly with the agentic AI future. The company’s DeepWorks enterprise Agent platform does not sell per-seat licenses; it sells AI productivity, enabling enterprises to deploy autonomous agents that replace repetitive administrative work, not software seats. As the market shifts from “AI as a feature” to “AI as a replacement,” Deepexi’s business model is structurally insulated from the seat-compression forces that have punished legacy software vendors.

Focus on Enterprise AI Applications and Proprietary Domain Data

To ensure AI truly meets real-world enterprise demands, generic foundational models are insufficient on their own. Deepexi’s core competitive edge lies in its specialized “Data + AI” dual-engine architecture, anchored by the FastData enterprise data intelligence platform, the FastAGI agentic AI suite, and the Deepexi Enterprise Large Model Platform, supported by its proprietary Deepology ontology dataset containing over 2,000 vertical industry skills.

At the foundational layer, the FastData platform—powered by the FastData Foil fusion engine—acts as an intelligent lakehouse that tokenizes structured, semi-structured, and complex unstructured enterprise data into standardized formats ready for large model training and inference. Building upon this data foundation, the FastAGI platform and DeepWorks Enterprise Agent Platform provide organizations with a flexible, modular AI operating system.

Featuring a pluggable architecture, the platform connects seamlessly to leading open-source foundation models such as DeepSeek and Zhipu AI, giving enterprise clients complete autonomy while eliminating vendor lock-in. This “model-agnostic” approach is a key differentiator in an environment where enterprises increasingly demand flexibility to choose the best model for each use case, rather than being locked into a single provider.

Through native Model Context Protocol (MCP) frameworks and specialized agents—ranging from operational decision-making agents to productivity and autonomous workflow execution agents—Deepexi embeds intelligence directly into core business operations. DeepWorks is fully integrated with mainstream workplace collaboration suites such as DingTalk, Feishu, and Tencent Meeting, allowing employees to summon AI copilots directly for automated weekly reporting, data synthesis, and cross-departmental coordination—effectively turning AI into an indispensable daily productivity tool.

In an enterprise AI market where 42% of organizations already have AI agents in production and 72% are deploying across production and pilots combined, Deepexi’s proven, governed agentic workflows are no longer an experiment—they are core infrastructure.

Strategic Partnership with Huawei Cloud: Tackling Compute and Data Bottlenecks

In the commercialization of enterprise AI, computing costs and access to high-quality domain data represent two of the industry’s most critical bottlenecks. On August 12, Deepexi announced a strategic alliance with Huawei Cloud to jointly launch enterprise data intelligence solutions, providing strong operational backing for the company’s long-term expansion.

The partnership combines the complementary strengths of both technology leaders. Huawei Cloud provides underlying Ascend AI computing clusters and distributed cloud infrastructure, while Deepexi brings its deep expertise in enterprise data governance, data tokenization, and vertical AI agent deployments. By integrating with Huawei’s domestic Ascend compute clusters, Deepexi not only secures stable, long-term computing power but also significantly drives down token processing costs. This cost efficiency establishes ideal conditions for exploring usage-based, token-metered commercial billing models—precisely the kind of consumption-based pricing that aligns with the agentic AI future.

Crucially, falling AI costs are widely expected to accelerate enterprise adoption of autonomous agents. Deepexi’s partnership with Huawei Cloud positions the company to capture this demand wave with a cost structure that improves as token volumes scale—a powerful margin-expansion dynamic that stands in stark contrast to the fixed-cost burden of traditional SaaS.

Strong Institutional Backing Highlights Long-Term Investment Value

Reflecting strong capital market confidence, Deepexi announced on August 17 the successful placement of 14,286,000 new H-shares at HK$35.00 per share, raising net proceeds of approximately HK$488.0 million. Successfully closing a sizeable placement amid broader market volatility demonstrates strong institutional recognition of Deepexi’s proven business model, robust unit economics, and profitability trajectory.

The company’s strategic shareholder structure provides a solid foundation for long-term growth. It is supported by prominent independent investors, including Hillhouse, 5Y Capital, and BAI, as well as industry-focused investors such as Shanghai AI. These partnerships enhance Deepexi’s industry reputation, drive technological innovation, and strengthen its market competitiveness.

The newly raised funds are earmarked primarily for continuous R&D in next-generation enterprise agent systems and token productivity platforms—positioning the company to capture the $206.5 billion AI agent software market projected for 2026, which Gartner expects to grow to $376.3 billion in 2027.

Investment Thesis: Why Deepexi Stands Apart

1. AI-Native Architecture in an Agentic World. Unlike legacy SaaS vendors facing seat compression, Deepexi’s token-based model is structurally aligned with the agentic AI future. The company doesn’t sell software seats—it sells AI productivity.

2. Rare Profitability in Enterprise AI. Quarterly GAAP profitability at a 56.5% gross margin, with projected revenue CAGR of 95.5% through 2027, places Deepexi among the most financially disciplined enterprise AI companies globally.

3. Model-Agnostic, Vendor-Neutral Platform. In an environment where enterprises demand flexibility, Deepexi’s pluggable architecture—supporting DeepSeek, Zhipu, and other open-source models—eliminates lock-in and captures value regardless of which foundation model wins.

4. Proprietary Data Moat. With over 2,000 vertical industry skills and deep expertise in manufacturing, retail, healthcare, and transportation, Deepexi’s domain-specific data capabilities create barriers that general-purpose AI vendors cannot replicate.

5. Strategic Compute Partnership with Huawei Cloud. Long-term, cost-effective compute access, combined with token-metered pricing models, positions Deepexi for sustained margin expansion as token volumes scale.

6. Institutional Validation. Backing from top-tier investors and a successful HK$488 million placement amid market volatility signal strong institutional confidence in Deepexi’s business model and growth trajectory.

The enterprise AI market has decisively shifted from early conceptual exploration into a new era of commercial execution and tangible financial delivery. Backed by mature product suites across FastData and FastAGI, proprietary vertical ontologies, strategic cloud partnerships, and an official transition to net profitability, Deepexi Technology has proven that enterprise AI can deliver both transformative technology and sustainable profits.

Hashtag: #DeepexiTechnology

Tokyo-based representative provides Japanese-language liaison for clients seeking access to FGA Trust’s Hong Kong trust and corporate services

TOKYO, JAPAN – Media OutReach Newswire – 27 August 2026 – FGA Trust, a Hong Kong-based trust and corporate services provider licensed under Hong Kong’s Trust or Company Service Provider regime (TCSP Licence No. TC008341), today announced the establishment of its Tokyo Representative Office in Shibuya, Tokyo.

The Tokyo representative office will provide a locally accessible, Japanese-language point of contact for high-net-worth individuals, families, business owners and professional advisers seeking to understand cross-border trust and succession-planning considerations involving Hong Kong and other jurisdictions.

The representative office will focus on client liaison, preliminary needs assessment and coordination with FGA Trust’s Hong Kong team and, where appropriate, independent legal, tax and other professional advisers. All trust and corporate services are provided by FGA Trust’s Hong Kong licensed entity, subject to applicable laws, regulations, client onboarding, know-your-client and anti-money-laundering requirements, with the Tokyo representative office serving as a Japanese-language liaison and coordination point.

Enquiries coordinated through Tokyo may include succession planning, family governance, corporate trust arrangements, international asset administration, and administrative support relating to internationally held real and digital assets. Each matter is considered in light of the client’s family and business circumstances, asset locations and long-term objectives.

The Tokyo representative office will be led by Mone Ota, Japan Representative of FGA Trust. Based in Tokyo, Ms Ota will lead engagement with clients in Japan and serve as the liaison between Japan-based clients and FGA Trust’s Hong Kong trust and corporate services team.

Mone Ota, Japan Representative of FGA Trust, said: “Establishing a Tokyo representative office reflects FGA Trust’s long-term commitment to building relationships in Japan. Families and business owners are increasingly considering succession, business continuity and the administration of assets held across jurisdictions. Our role in Tokyo is to provide a clear local point of contact and connect clients with the appropriate Hong Kong team and professional advisers for their circumstances.”

According to the Bank of Japan’s Flow of Funds Accounts released on 25 June 2026, household financial assets in Japan stood at ¥2,386 trillion at the end of March 2026, an increase of 7.1% from a year earlier. Against this substantial asset base, business succession, international mobility and the growing diversity of asset types are increasing the importance of carefully planned governance and succession arrangements.

FGA Trust provides personal trust, corporate trust, family-office support and international asset-administration services through its Hong Kong licensed entity. Subject to applicable laws and onboarding requirements, the firm works with clients and their professional advisers to consider trust and corporate-service arrangements tailored to their family, business and asset circumstances.

FGA Trust Tokyo Representative Office

c/o Regus, Shibuya Koen-dori Building

1-23-14 Jinnan, Shibuya-ku

Tokyo 150-0041, Japan

Japan Representative: Mone Ota

Tel: +81 80-2301-0212

https://fgatrust.com/en
https://www.linkedin.com/company/fga-trust/
https://x.com/fgatrust
https://www.facebook.com/p/FGA-Trust-100083702226285/
Wechat: 香港FGA信托
https://www.instagram.com/fgatrust/

Hashtag: #FGA #信託 #雇用 #Web3 #企業 #ウェルス・マネジメント #事業拡大

About FGA Trust

Source: BestBrokers

August 26, 2026

The term ‘unicorn’ was introduced in 2013 by venture capitalist Aileen Lee to describe privately held startups valued at over $1 billion, companies so uncommon they seemed almost mythical. At the time, there were only a few dozen worldwide, making the label a true badge of exceptional success. A little more than a decade later, the landscape looks very different.

Fueled by an unprecedented surge in venture capital and rapid growth in the global tech ecosystem, the number of unicorns has ballooned into the thousands.

As of August 2026, there are currently 1,843 startup companies with a valuation of US$1 billion or more, the so-called unicorns. This prompted the team at to analyse the latest data from Crunchbase, TechCrunch, and PitchBook to identify which industries are producing the most new unicorns, which regions have the most billion-dollar private startups, and which private companies are attracting the most investor attention in today’s volatile market.

Which Countries are Home to the Most Unicorns in 2026?

Unicorn startups around the globe are heavily concentrated in a handful of countries, with the United States in the lead, as the country is home to 945 privately held companies valued at over $1 billion, more than half of the world’s 1,843 total unicorns. The U.S. also hosts many of the most valuable private startups globally, including Anthropic, now the world’s most valuable unicorn with a valuation of $965 billion after the previous champion, SpaceX (1.25 trillion), became a public company.

Other high-profile American unicorns valued at the hundreds of billions include OpenAI ($852B), Databricks ($190B), Stripe ($159B), and Waymo ($126B). The country’s dominance reflects its deep venture capital ecosystem, world-leading research universities, and major technology hubs such as Silicon Valley that consistently produce high-growth startups.

China ranks second with 328 unicorn companies, driven largely by its massive domestic market and strong technology sector. The country’s most valuable startup is ByteDance, the parent company of short-form video app TikTok, and its Chinese counterpart, Douyin. The company’s valuation has surged to a record $600 billion in early 2026 following major secondary share sales, including a proposed deal by General Atlantic that pushed it well above previous marks amid strong revenue growth and clearer U.S. regulatory progress on TikTok operations.

India has emerged as another major unicorn hub with 83 companies, supported by rapid digital adoption and a huge consumer base. The country’s biggest startup is Reliance Jio ($128B), the telecommunications and digital-services arm of Mukesh Ambani’s Reliance Industries. Another Asian nation with a dense concentration of unicorn startups is Singapore, home to the global E-commerce platform Shein, which ranks 8th worldwide with 26 unicorn startups.

The United Kingdom leads Europe with 83 unicorns, many of which are in the finance sector, including fintech leader Revolut ($115B) and payments firm Checkout.com ($12B). South and Central America host roughly 39 unicorn companies spread across countries like Brazil (21), Mexico (10), Chile (3), and smaller counts in Colombia and Argentina.

The most valuable unicorns in the region include Brazil’s QuintoAndar, iFood, and C6 Bank, all valued at $5 billion; Mexico’s financial platform Plata ($5B); and Argentina’s fintech company Ualá, valued at $3.2 billion following recent $195 million in an equity funding.

The Largest Unicorn Companies in the World in 2026

L19: Following Elon Musk’s space-tech company SpaceX’s historic IPO, the title of most valuable unicorn went to another U.S. company, Anthropic. Chatbot Claude’s parent company is now valued at a staggering $965 billion following a series of rapid valuation increases fueled by booming demand for generative AI, major investments from technology giants, and strong revenue growth from its enterprise AI products.

L22: Just behind in second place is ChatGPT’s parent company and Anthropic rival OpenAI, currently valued at $852 billion following a record-setting $110 billion investment from Amazon, Nvidia, and SoftBank. The company remains one of the central players in the global AI ecosystem, as investor capital continues to concentrate heavily within a small number of leading foundation model developers.

China’s ByteDance continues to stand among the world’s most valuable private companies, with a valuation of $600 billion. Its dominance is fueled by the explosive global popularity of TikTok, which has reshaped entertainment and short-form video for billions of users, alongside Douyin’s commanding position in the Chinese market.

In fintech, Stripe holds a $159 billion valuation, and Revolut currently sits at $115 billion following a secondary share sale in July 2026. Both companies have established strong positions in digital payments and banking services. India features its largest private player: Reliance Jio, valued at approximately $128 billion ahead of a potential IPO.

1 in 4 Startups To Reach Unicorn Status in 2026 Are AI Companies

Artificial intelligence companies account for the largest share of startups that reached a $1 billion valuation in 2026. Of the 191 companies that achieved unicorn status this year, 49 startups (25.7%) operate in the AI sector, meaning that nearly every 1 in 4 newly minted unicorns in 2026 is an AI company.

These businesses focus on building AI infrastructure and specialised tools built on large language models, reflecting how deeply artificial intelligence has become integrated into the broader technology ecosystem.

Robotics companies are capturing increasingly larger investments in 2026 as advances in humanoid systems and embodied AI accelerate. As of August 2026, robotics is the second largest sector for newly minted unicorns, with 26 companies (13.6% of the total) operating in the field. The sector is dominated by the United States and China, with the most valuable newly minted robotics companies being China’s AI2 Robotics and X Square Robot, valued at $3 billion each.

In the U.S., Mind Robotics and Generalist lead the robotics cohort, with both startups currently worth $2 billion each.

So far this year, 18 fintech startups have crossed the billion-dollar mark to become unicorns. Investor interest has remained strong across digital payments, lending, financial infrastructure and AI-assisted financial services. The sector’s latest unicorn is Indian payments infrastructure company Juspay, which reached a $1.2 billion valuation after raising $50 million from WestBridge Capital.

The company processes hundreds of millions of transactions daily and serves major enterprises, highlighting growing investor appetite for the underlying infrastructure powering the global digital payments ecosystem.

The HealthTech sector has produced 15 new unicorns so far in 2026, placing it as the third most-active sector alongside fintech after robotics and AI. The sector’s most valuable new unicorn is American orthopaedic device innovator MiRus, which is now valued at $4.4 billion following a $1.5 billion funding round led by Boston Scientific. Other notable additions include Pomelo Care, valued at $1.7 billion, and Eight Sleep and Science (Therapeutic Devices), both worth $1.5 billion.

The sector’s strong performance reflects growing investor confidence in technologies that can modernise healthcare, improve patient outcomes and lower costs.

Defense & SecurityTech has seen a lot of investor interest in 2026, fueled by geopolitical tensions and advancements in defense and dual-use technology. So far this year, 12 startups have crossed the $1 billion valuation threshold to become unicorns. Germany’s STARK leads the group with a $3.7 billion valuation, having gained prominence for its autonomous strike drones and secured a €300 million contract to supply the German armed forces. U.S. companies also dominate the sector’s newcomer ranks, including Allen Control Systems, valued at $2.2 billion for its autonomous counter-drone and turret systems, and Mach Industries, which reached a $1.8 billion valuation after raising $300 million in a Series C round to scale its unmanned defence systems.

In Europe, France’s Harmattan AI became the country’s first defence unicorn after a $200 million funding round led by Dassault Aviation, while UK defence startups Roark Aerospace and UFORCE have also crossed the billion-dollar threshold.

Chinese AI startup DeepSeek is the Most Valuable New Unicorn Startup in 2026

By far the most valuable startup to become a unicorn in 2026 is China’s DeepSeek, valued at around $50 billion following its first-ever external funding round, more than 11 times the valuation of the second most valuable new unicorn. The Hangzhou-based AI lab, founded in 2023 by High-Flyer founder Liang Wenfeng, became a global name after its low-cost R1 and V3 models challenged leading Western AI systems while using significantly fewer computing resources.

Its maiden fundraising marked a dramatic shift for a company that had previously relied on self-funding, with investors piling in as DeepSeek emerged as one of China’s strongest challengers in the global AI race.

U.S.-based AI lab Hark, owned by entrepreneur Brett Adcock, reached an impressive $6 billion valuation after raising more than $700 million in its Series A funding round, making it the second most valuable startup to become a unicorn in 2026. The company develops AI systems designed to automate complex knowledge work, and its unusually large early-stage funding round reflects the intense investor appetite for AI companies building beyond consumer-facing chatbots.

Hark leads a cohort dominated by AI companies, with UK-based Ineffable Intelligence valued at $5.1 billion, U.S. AI company Recursive at $4.65 billion, and humans& at $4.5 billion.

Outside AI, the most valuable newly minted unicorn is MiRus, a U.S.-based HealthTech company specialising in orthopaedic devices, which reached a valuation of $4.4 billion following a $1.5 billion funding round earlier this year. Corgi, valued at $4 billion, is the highest-valued Fintech company to achieve unicorn status in 2026. Germany’s drone startup STARK recently captured a massive funding round, valuing the company at a $4 billion valuation.

L47: The United States overwhelmingly dominates the global unicorn landscape in 2026, accounting for 105 of the 185 newly minted billion-dollar startups. This reflects the country’s deep venture capital ecosystem, strong talent pool, and continued leadership in high-growth sectors such as artificial intelligence and advanced technologies.

Outside the United States, China ranks second with 30 new unicorns, followed by the United Kingdom with 14, and India with 7 new billion-dollar startups. The UK’s most valuable newly minted unicorn is Ineffable Intelligence at $5.1 billion, while China’s cohort heavily leans towards AI and Robotics startups such as AI2 Robotics and X Square Robot, both valued at $3 billion. India has seen momentum accelerate in recent months, adding 7 new unicorns since the beginning of 2026.

Among India’s 2026 unicorn class, fintech lender KreditBee and AI startup Sarvam are currently the most valuable, with both startups achieving a valuation of $1.5 billion.

Germany has produced 6 new unicorns in 2026, spanning defence, enterprise software, and infrastructure, including defence company STARK, which recently captured a $500 million funding round at a $4 billion valuation, SaaS platform osapiens at $1 billion, and observability startup Dash0 at $1 billion.

Canada’s 4 new unicorns are in the artificial intelligence, semiconductors and fintech sectors. Autonomous driving AI company Waabi is the country’s most valuable new unicorn, reaching a $4 billion valuation, followed by quantum computing and semiconductor company Photonic at $2 billion. Fintech startups Super.com and Nesto round out Canada’s 2026 unicorn cohort, valued at $1.2 billion and $1.1 billion, respectively.

Belgium and France each produced 2 new unicorns in 2026, spanning AI, cybersecurity, crypto, and defence technology. France’s newcomers include AI research company Advanced Machine Intelligence (AMI Labs), valued at $3.5 billion, making it the most valuable new unicorn among the four countries, and Harmattan AI, a $1 billion defence and security AI firm focused on autonomous systems and intelligence tools.

Belgium’s two new unicorns are Keyrock, valued at $1.1 billion and specialising in crypto market-making and liquidity infrastructure, and cybersecurity startup Aikido Security, valued at $1 billion.

Spain and the Netherlands also added 2 new unicorns each since the beginning of the year. Spain’s new unicorns are spacetech company Xoople, valued at $1 billion, and quantum computing startup Multiverse Computing, valued at $1.7 billion. The Netherlands added AI company Wonderful, valued at $2 billion, and semiconductor startup Nearfield Instruments, valued at $1.6 billion, giving the country the second-highest combined valuation among the four markets.

Methodology

L57: To illustrate the current state of unicorn startups, the team at BestBrokers analysed company data from , which tracks privately held companies valued at $1 billion or more. Additional information on company valuations, funding rounds, and newly created unicorns was gathered from platforms such as , as well as industry coverage from and other publicly available sources.

Using these datasets, we identified current unicorn companies and grouped them by country, industry, and valuation to show their distribution across the global tech ecosystem. We also compiled a separate list of startups that first crossed the $1 billion valuation threshold in 2026 based on the most recent funding announcements and reported valuations.

All figures reflect the most recent data available at the time of writing. Because startup valuations and funding rounds change frequently, the total number of unicorn companies and their valuations may evolve over time.

Official report

HONG KONG SAR – Media OutReach Newswire – 27 August 2026 – HKT (SEHK: 6823) – HKT Payment Limited^[1], HKT’s financial services arm, has been selected by Hong Kong’s financial regulators to participate in the Generative Artificial Intelligence (GenA.I.) Sandbox++ initiative and conduct a pilot trial on registration and verification for AI agent-initiated payment flows, helping to advance responsible innovation in Hong Kong’s financial sector.

As AI agents rapidly gain traction in financial services, they are becoming capable of initiating payments, wallet top-ups, peer-to-peer transfers, and cross-institution transactions on behalf of users. Yet, current Know Your Customer (KYC) and Know Your Business (KYB) frameworks were not designed to address the verification of AI agents or determine who is ultimately responsible for their actions.

In collaboration with Red Date Technology, a provider of decentralised technology and digital infrastructure, HKT will develop an “Agentic ID” framework built on Decentralised Identifiers (DIDs) and Verifiable Credentials (VCs). Under this framework, each AI agent will be bound to a verified individual or enterprise principal, providing a more secured and standardised way to register and verify AI agents acting on behalf of individuals and enterprises.

Designed to strengthen security and governance, the “Agentic ID” framework aims to enhance identity verification, help mitigate the risk of impersonation or unauthorised actions, and establish a clearer audit trail for AI-driven transactions. It also leverages the zero-knowledge proof technology, which enables data to be verified and used without being revealed, giving users full ownership and control over their private information.

Monita Leung, CEO, Digital Ventures, HKT, said, “As the adoption of AI agents in payments and financial services is accelerating, robust safeguards are critical to maintaining trust, security and accountability. Through participating in the GenA.I. Sandbox++ initiative, we are committed to supporting the development of practical solutions for the responsible use of AI in digital finance. We believe this project will contribute to Hong Kong’s vision in establishing a resilient and future-ready fintech hub, as well as advancing the broader ‘AI+’ initiative.”

Launched by the Hong Kong Monetary Authority, the Securities and Futures Commission, the Insurance Authority and the Mandatory Provident Fund Schemes Authority in collaboration with Cyberport, the Gen A.I. Sandbox++ initiative promotes cross-sector collaboration and the responsible adoption of AI across Hong Kong’s financial ecosystem.

Hashtag: #HKT

About HKT

About Red Date Technology

Red Date Technology is a leading Hong Kong-headquartered technology provider specialising in blockchain infrastructure, decentralised identity solutions, and next-generation financial technology. The company’s Agentic ID framework and Unified Agentic Payment Gateway represent its latest innovation in enabling trustworthy AI agent transactions within regulated financial ecosystems.

SINGAPORE – Media OutReach Newswire – 27 August 2026 – Corporate buyers in Singapore are increasingly asking for gifting and packaging to come from the same supplier, and for that supplier to hold sourcing presence in the region rather than in a single procurement market. The Gift Empire Pte Ltd, a Singapore supplier of promotional gifts and customised corporate gifts, has responded to both within the same quarter, opening a Vietnam office supported by a local platform at giftempire.com.vn and launching Packaging Empire as a dedicated division for customised packaging solutions. Singapore remains the company’s primary market and the base from which it serves corporate gifting accounts across Singapore, Malaysia, and Vietnam.

Packaging Empire was established in response to demand from businesses seeking one partner for both requirements. The Gift Empire has supplied customised corporate gifts and promotional gifts since 1999 to organisations including Amazon, Citibank, Maybank, Shopee, and Microsoft, and receives orders through GeBIZ, Ariba, and Coupa, the procurement systems used by Singapore government agencies and large corporate buyers. Accounts of that size have traditionally run separate vendors for promotional gifts and presentation packaging, which adds cost and complicates delivery schedules when both elements are tied to the same campaign date.

The division produces gift boxes, mailer boxes, retail packaging, product sleeves, and event packaging, covering product launches, corporate events, gift-with-purchase campaigns, festive gifting, roadshows, retail applications, and brand activations. Demand for everyday corporate gift items such as custom canvas tote bags and custom water bottles in Singapore has grown alongside the shift, and these are frequently ordered with matching boxes or sleeves timed to the same launch. Clients ordering both now work to a single production timeline under one supplier.

For buyers, consolidating the two functions changes how a project is run. A client briefs one team and works to a single production timeline, so the gift item and the packaging it ships in are scheduled against the same delivery date instead of being tracked as two jobs. Colour matching and print finishing are handled within one production process, which keeps branding consistent between the item and the box it arrives in. Quality control covers both components at the same stage, and any delay sits with a single point of accountability. Volumes across gifts and packaging can be quoted together instead of being priced by two vendors working to separate minimum order quantities. For procurement teams, a single supplier also means one vendor record to maintain and one invoice per campaign, which is a practical consideration for government agencies and large corporations buying through GeBIZ, Ariba, or Coupa.

The Vietnam operation serves a dual function. Alongside supplying Vietnamese businesses through its local platform, the office gives The Gift Empire direct presence in one of the region’s largest manufacturing bases, where a significant share of the product it already sources is made. Vietnam’s electronics sector contributed over 35 per cent of the country’s total exports in 2025, reaching a record US$165 billion, according to Vietnam Briefing. Working on the ground allows closer collaboration with manufacturing partners and tighter oversight of production and quality control. The company expects this to shorten lead times for its Singapore and Malaysia clients and reduce its exposure to disruption in any single supply market.

Vincent Lau, Sales Manager at The Gift Empire, said the changes came out of client requests and not a shift in the company’s focus.

“Most of our work is still corporate gifting for clients here in Singapore, and that has not changed. What has changed is that more of them want one team handling the gifting and the packaging instead of coordinating two suppliers against the same deadline, because when the packaging runs late, the whole campaign moves with it. Vietnam happened at the same time for a practical reason, which is that a lot of the manufacturing we already source from is there, and being on the ground changes how quickly we can sort things out.” – Vincent Lau, Sales Manager, The Gift Empire Pte Ltd

The two developments give The Gift Empire a broader service range and a wider sourcing base within the same quarter, with Singapore continuing as the primary market for its corporate gifting and packaging work. The direction Lau has set out for the company is to operate as a single-source provider for corporate gifting and packaging across Southeast Asia, where a client in any of its markets briefs one team and works to one production timeline supported by a regional sourcing network.

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Hashtag: #TheGiftEmpire

About The Gift Empire

With more buyers moving from curiosity to consideration, the next question is what makes an EV feel like a natural replacement for a conventional car. For the VinFast VF 8, the answer comes down to three things: SUV performance, a comfort-focused cabin and an ownership package that goes well beyond the showroom.

SUV performance that means business

The Middle East has a long-standing appetite for SUVs, and the VF 8 speaks that language in electric form. Its dual-motor all-wheel-drive system produces up to 402 horsepower and 620 Nm of torque in the Plus version, while the Eco delivers 349 horsepower and 500 Nm.

The numbers translate into brisk performance, with the VF 8 Plus targeting 0-100 km/h in less than 5.5 seconds and the Eco at 5.9 seconds. Both versions use an 87.7-kWh usable battery, with claimed NEDC ranges of up to 476 km for the Plus and 493 km for the Eco. DC fast charging from 10% to 70% takes a listed 31 minutes.

Going electric does not require giving up the urge to put your foot down. Actual range and performance will vary with driving style, passengers, load, tires, weather and road conditions.

A cabin that takes comfort seriously

Performance may get attention, but the cabin is where drivers spend most of their time. The VF 8 comes with a 15.6-inch infotainment display, two-zone automatic climate control, air-quality control and cabin filtration with an air ionizer.

The Plus adds 12-way powered driver’s seat adjustment with heating, ventilation and memory, alongside a heated and ventilated front passenger seat and heated, ventilated and reclining rear seats. A panoramic sunroof, heated power-adjustable steering wheel and 10-speaker audio system with a subwoofer round out the package.

The technology continues through the companion app, which supports remote vehicle controls, driver profiles, driving statistics and vehicle diagnostics. Over-the-air updates can also deliver software improvements without a workshop visit.

Ownership support that lasts beyond the test drive

A fast-growing EV market also means buyers are asking practical questions surrounding ownership: charging, servicing, repairs and battery longevity.

The VF 8 addresses those concerns with a 10-year or 200,000-km vehicle warranty and a 10-year unlimited-kilometer battery warranty. The package also includes five years or 100,000 km of free service, 24/7 mobile services and roadside assistance, access to DC fast charging and a parts supply target of 24 hours in key markets.

VinFast is also expanding the infrastructure behind that promise. At its 2026 Global Business Conference, the company signed MOUs with 29 aftersales partners, including partners serving the Middle East, and set a target of more than 1,100 service workshops globally in 2026.

For a region where EV adoption is accelerating, the VF 8 arrives with a familiar formula: SUV proportions, plenty of power and a cabin designed for comfort. The electric bit is new; the reasons to want the car are rather more familiar.

AUCKLAND, NEW ZEALAND – Media OutReach Newswire – 27 August 2026 – Chubb today announced the appointment of Jon Longmore as Country President of New Zealand, effective September 2026.

Based in Auckland, Longmore will report to Chris Colahan, Country President, Australia and New Zealand (Acting). In this role, Longmore will lead Chubb’s general insurance business in New Zealand, including Commercial P&C, Personal Lines and Accident & Health.

Colahan said, “In his 15 years with Chubb, Jon has built a deep understanding of our business through leadership roles in underwriting, distribution and digital. He has a strong track record of developing high-performing teams with a genuine commitment to client and broker service, and he is well-positioned to lead the continued growth of our New Zealand business.”

Longmore joined Chubb in 2011, progressing through senior management roles in underwriting and distribution in Australia. In 2018, he was appointed Head of Digital, Asia Pacific based in Singapore, before taking on the role of Country President of Indonesia in 2020. Most recently, Longmore served as Country President of Malaysia.

Hashtag: #Chubb

About Chubb

HAIKOU, CHINA – Media OutReach Newswire – 28 August 2026 – Since the beginning of this year, an international social media promotion campaign themed “China’s Free Trade Port, World-Class Resort Island: Welcome to Cool Hainan” has brought China’s Hainan Free Trade Port into the view of global travelers, attracting more international tourists to visit this tropical island.

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