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Through DaaS, enterprise customers can access drone equipment, trained personnel, mission execution, data collection and project deliverables without purchasing and maintaining a complete in-house drone system. The model extends ZenaTech’s business beyond equipment sales and enables the company to generate recurring service revenue from customers’ operational requirements.

ZenaTech reported revenue of CAD 8.4 million for the first quarter of 2026, an increase of 640% from CAD 1.13 million in the same period of 2025. DaaS contributed approximately CAD 7.8 million, accounting for around 93% of quarterly revenue.

In 2025, the company generated annual revenue of CAD 12.9 million, up 558% from approximately CAD 2 million in 2024. DaaS contributed approximately CAD 10.1 million during its first full year of operations, representing around 78% of total annual revenue.

Acquisitions Support Service Network Expansion

ZenaTech has expanded its DaaS operations through a combination of internal technology development and acquisitions. The acquired businesses bring existing customers, professional teams and local operating capabilities, while ZenaTech gradually introduces drones, automated data collection and AI-supported analytics into selected workflows.

In 2025, the company completed 20 acquisitions, including 19 businesses providing engineering data, facility inspection and related professional services, as well as one enterprise software company.

By June 2026, ZenaTech had completed its 24th DaaS-related acquisition and expanded its services into property cleaning, facility inspection and maintenance.

Through its ZenaDrone subsidiary, ZenaTech has also developed drone products for indoor and outdoor operations. The IQ Quad supports site data collection, engineering imagery and 3D modelling, while the IQ Nano uses barcode and RFID scanning to support inventory records, shelf inspections and indoor data collection.

The company’s reported revenue growth, acquisition activity and DaaS contribution provide investors following the AI and drone sectors with measurable indicators of how its technologies are being integrated into commercial operations and converted into service revenue.

Hashtag: #ZenaTech

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About ZenaTech

ZenaTech (Nasdaq: ZENA) is a technology company specialising in AI-powered drones, Drone-as-a-Service (DaaS), enterprise SaaS solutions and related technologies. Through its ZenaDrone subsidiary, the company develops drone products and software for commercial applications including engineering data collection, agriculture, warehouse management, facility inspection and property maintenance. ZenaTech combines its technology capabilities with a growing professional service network to support the adoption of drone-based solutions across a range of operational environments.

The launch combines a unified, action-oriented world model with Ambient Capture Engine 2.0, three commercial solutions and a new industry benchmark, connecting high-density data with real-world robotic operations.

SHANGHAI, CHINA – Media OutReach Newswire – 19 July 2026 – ACE ROBOTICS today unveiled Kairos 3.1, its latest action-oriented world model, alongside Ambient Capture Engine 2.0 and three commercial solutions spanning instant retail, hospitality and outdoor service scenarios.

The announcements were made at a forum ACE ROBOTICS organized during the 2026 World Artificial Intelligence Conference, convened around the theme of advancing physical AI from “understanding” to “execution.” The event brought together economists, technology executives and embodied AI researchers to examine how general-purpose world models can move from laboratory research to industrial deployment.

The forum also marked the launch of PHYSICAL IQ, a unified benchmark for embodied physical intelligence. It was jointly initiated by the Shanghai Artificial Intelligence Association, the Shenzhen Loop Area Institute and the East China branch of the China Academy of Information and Communications Technology, with participation from more than 20 universities and industry partners.

Thomas J. Sargent, Nobel laureate in Economic Sciences, discussed the limitations of current intelligent systems in rare and previously unseen situations.

A world model built for the physical world

“In the digital world, a model error may result in a flawed image or paragraph. In the physical world, an incorrect action can have real consequences,” said Wang Xiaogang, Chairman of ACE ROBOTICS. “Kairos 3.1 is built around a first-principles approach to embodied world models, helping robots act more reliably in complex and uncertain environments, and accelerating the arrival of physical AI’s Kairos moment.”

Kairos 3.1 is designed as a natively unified model that integrates generative, physical and cognitive intelligence within a single architecture, rather than combining separately developed capabilities.

Built on a hybrid Transformer architecture with a shared mixed-attention mechanism, it brings visual observations, language instructions, force and tactile signals, and policy trajectories into a unified latent space.

This supports an “understand, reason, execute and reflect” loop. The model can break down long-horizon tasks, simulate physical cause and effect across multiple scenarios, rank candidate actions, execute the selected strategy and evaluate the outcome for further adjustment.

At the core of its spatial understanding is ACE-BRAIN-0.5. ACE ROBOTICS said it has achieved state-of-the-art results across 12 public evaluations covering spatial understanding, navigation, manipulation and task-progress assessment, among publicly reported models as of July 2026.

In a household laundry scenario, for example, a robot can identify spatial relationships between objects, divide a task into more than a dozen steps and verify each stage in real time. If a failure occurs, it can identify the affected step and restart from that point rather than repeating the entire task.

For physical generation and reasoning, Kairos-HomeWorld supports whole-home scene generation and object interaction. It is built on 300,000 residential floor plans, 5,000 simulated home environments and 8,700 3D assets covering six categories of physical properties, designed to reflect common residential layouts in China.

The model can simulate multiple action trajectories in parallel and rank them based on predicted success and execution cost before sending instructions to a physical robot.

In internal testing, the Kairos 3.1 8B model achieved an inference latency of 125 milliseconds on the NVIDIA Jetson Thor platform at BF16 precision. Its in-house KairosRT computing engine supports real-time, on-device inference.

Kairos 3.1 also incorporates self-reflective iteration. When an action fails, the robot can evaluate the result and adjust its strategy. In one test, for example, it changed from a three-finger to a four-finger grasp after an unsuccessful attempt and subsequently completed the task.

From high-density data to continuous learning

ACE ROBOTICS also introduced what it calls the “Information-Density Law” for embodied models: the value of data is determined not only by its volume, but by whether it contains information capable of changing the outcome of an agent’s actions.

ACE ROBOTICS classifies embodied data across five information-density levels, from L1 to L5. L1 and L2 data support foundational pre-training; L3 and L4 data remain focused on known tasks; and at L5, data incorporates three-dimensional force and tactile signals, failure-recovery trajectories and variables from open environments. The company says these higher-density forms of interaction data support stronger generalization, reflection and continuous learning.

Built on this principle, Ambient Capture Engine 2.0 is a human-centric system for capturing, processing and reusing high-density physical-interaction data.

ACE Ego Kit is a lightweight wireless wearable comprising head, hand and chest components. It includes the ACE Sense Glove, which offers sensitivity of 0.01 newtons and a joint-angle error of less than two degrees. The system can synchronize data from more than 20 heterogeneous sensors with a timing error of less than one millisecond.

ACE Data Engine is an automated data-production platform for continuous, high-precision annotation of long-horizon tasks. It incorporates ACE-ViDiHand, a generative 4D hand-motion-capture framework designed to track movements despite occlusion and rapid motion, which ACE ROBOTICS reports led across three public benchmarks (ARCTIC, HOT3D and HOI4D) as of July 2026. The company recorded a frame-level accuracy of 0.997 and up to a 4.8-fold improvement in motion smoothness.

ACE Ego Matrix standardizes embodied data across four dimensions: spatial coordinates, embodiment structure, action timing and data quality. It is designed to align data collected by different operators, devices and robot platforms for reuse across systems. ACE ROBOTICS has open-sourced the framework, which it says placed first on the RoboCase and RoboTwin leaderboards.

ACE ROBOTICS also announced the open release of ACE-Data-0, an L5 household-interaction dataset featuring complex physical tasks and high-precision annotations.

Three solutions moving into commercial operation

Building on its data infrastructure and Kairos world-model capabilities, ACE ROBOTICS introduced three standardized industry solutions designed for deployment within existing commercial workflows.

Xiaoman, its integrated fulfillment solution for instant retail, is paired with the new W1 fulfillment robot. The W1 has a robot-to-payload weight ratio of less than 2:1, force-control precision within one newton and a minimum required aisle width of 75 centimeters, making it suitable for high-density shelving environments. It is able to grasp both flexible packaging and rigid goods.

The solution connects robot hardware, world-model capabilities, motion control, product information, warehouse locations and order management. It supports lightweight deployment within days across flash-fulfillment warehouses, small-format stores and integrated warehouse-store setups. It has been deployed with customers including Sense MartGo, Kuaikeda and PetroChina convenience stores, using real order and shelf data to improve fulfillment performance. ACE ROBOTICS plans to deploy the solution across 1,000 retail locations over the next year and expand to approximately 10,000 stores within two years.

Xiaoxin addresses hotel-laundry operations, where ACE ROBOTICS estimates that approximately 80% of demand occurs at night.

The solution enables robots to handle collection, loading, unloading, washing, sorting and folding, with ironing capabilities planned for future versions. It is designed to reduce night-shift staffing pressure and improve operational consistency across non-standard hotel laundry environments.

Xiaotu is designed for autonomous operation in complex outdoor environments. Using a “one brain, many bodies” architecture, it applies a general-purpose intelligent brain (Agentic AI) across multiple quadruped robot platforms.

The system supports indoor and outdoor navigation, dynamic obstacle avoidance, autonomous charging, remote dispatch and multi-robot coordination. It has been deployed in visitor-guidance and interactive experience services at cultural-tourism events, including the Begonia Flower Festival in Tianjin.

Building an open embodied AI ecosystem

ACE ROBOTICS also announced a series of partnerships spanning infrastructure, computing and commercial deployment.

The company entered into a strategic collaboration with the Caohejing Development Zone to develop an embodied AI innovation platform.

In retail and fulfillment, ACE ROBOTICS announced collaborations with PetroChina, Kuaikeda and SenseTime Shanhui covering autonomous warehouse stores, front warehouses and unmanned retail environments.

To support the computing requirements of world-model development, ACE ROBOTICS launched the World Model Cloud Ecosystem initiative with Baidu AI Cloud, Alibaba Cloud, Huawei Cloud, Tencent Cloud and SenseCore AI Cloud.

By connecting high-density data, unified world models, robot platforms, commercial applications and shared evaluation standards, ACE ROBOTICS aims to support the transition of embodied AI from individual technical demonstrations to sustained operations in real-world environments.

Hashtag: #ACEROBOTICS

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About ACE ROBOTICS – Equipping robots with intelligent “brains” and engaging “souls”

ACE ROBOTICS is a pioneering robotics company dedicated to advancing the field of embodied intelligence. Through breakthrough technological innovations and deep insights into embodied intelligence scenarios, we aim to empower robots with the ability to autonomously understand and explore the physical world, thereby accelerating their commercial implementation.

The company pioneered the ACE R&D paradigm and built a vision-based “environmental data engine, real-world cognition, embodied interaction generalization” technology chain. Using full spatiotemporal and multi-perspective environmental capture as its engine, along with Kairos 3.0 – China’s first open-source and commercially applicable world model – plus the Embodied Foundation Model as its technical backbone, ACE ROBOTICS addresses core industry challenges such as data scarcity, common sense gaps, poor generalization, and limited versatility. Simultaneously, the company unveiled its flagship A1 Embodied Super Brain Module, accelerating the large-scale commercial deployment of embodied intelligence across diverse scenarios.

ACE ROBOTICS is both a technology pioneer and an ecosystem builder. Through strategic cooperation with top hardware manufacturers, cloud service providers, and vertical scenario partners, we have broken through the “model-hardware-scenario” industrial deadlock, providing standardized and customized solutions that are driving the development of China’s embodied intelligence industry.

Dr. Benson Wu, CEO and Co-Founder of CyCraft, stated: “We believe, being listed as a Sample Providerin the Gartner report demonstrates that the global market now views AI security as the next battlefield for AI commercialization. From day one, CyCraft has developed proprietary models, simultaneously deploying AI reasoning capabilities across three core pillars: cybersecurity defense, AI governance, and unmanned vehicle reconnaissance. Technical leadership is our starting point, not the destination. Our goal is to translate this leadership into rapid growth driven by strategic deployment and disciplined execution. Launched this year, our AI Red Teaming and AI Guardrail solutions have already been productized and commercially shipped, seeing active deployment in sectors like semiconductors and sovereign AI.”

AI Reasoning Models Drive Up Operating Costs, Restructuring Profit Logic

As AI transitions from “training models” to “reasoning models,” the industry officially moves from the research and development phase into commercial application. Reasoning models possess logical deduction, self-reflection, and complex problem-solving capabilities. However, these advanced capabilities have caused AI operational costs to skyrocket, forcing the tech industry to redefine its expectations of AI as a tool for massive cost reduction and profit maximization.

CyCraft’s XCockpit Threat Exposure Management Platform features built-in AI reasoning models that triage thousands of alerts in real time, automatically providing mitigation recommendations and effectively eliminating alert fatigue. From overall security posture scoring to specific actionable tickets for individual alerts, XCockpit transforms defensive benefits—which were historically difficult to define—into concrete, quantifiable technical metrics. This embodies CyCraft’s pragmatic philosophy: the value of defense must be visible, and it must be measurable.

Standing at the Frontier of AI Security, CyCraft Advances Commercial Implementation with Profound R&D Momentum

Deeply integrating AI with cybersecurity, CyCraft has launched XecGuard and XecART—two major AI security products deployable across both cloud and on-premises environments, both featured on the OWASP AI Security Map. These solutions directly address the core pain points of Agentic AI, LLM, and GenAI applications. XecART utilizes Agentic Red Teaming to run multi-round stress tests on models, identifying risks and generating compliance reports that adhere to international standards. Meanwhile, XecGuard acts as a real-time Guardrail for LLMs and AI Agents, intercepting anomalous inputs and outputs. One solves “how to stress-test AI,” while the other solves “how to protect AI,” providing the fundamental AI governance for enterprises.

CyCraft’s research achievements are equally outstanding. The CyCraft research team recently presented at the International Conference on Machine Learning (ICML), one of the world’s top three prestigious academic conferences for AI and machine learning. The research focused on Retrieval-Augmented Generation (RAG) Data Poisoning. Utilizing their self-developed “Eyes-on-Me” attack framework, the team proved that attacks can simultaneously breach both the retrieval and generation phases. The end-to-end average attack success rate surged from 21.9% to 57.8%. This breakthrough exposed a long-neglected vulnerable attack surface existing between “attention focus” and “model output.”

In 2025, the CyCraft research team was also selected for NeurIPS, one of the most iconic academic sanctuaries in the AI field. The team proposed an innovative “unified supervision framework” that embeds verifiable checkers into synthesized instruction-conflict instances, enabling self-supervised learning without requiring oracle labels or reasoning traces. This framework not only applies to different models but also significantly enhances both safety robustness and instruction adherence.

CyCraft believes that as AI moves from R&D to commercial deployment, the barrier for enterprises is no longer “whether they can use AI,” but “whether they can use AI responsibly.” Once Agentic AI enters financial transactions, government services, or critical infrastructure, every autonomous decision must leave a traceable path, accept auditing, and allow for real-time human intervention when necessary. This is true AI governance. It is not a compliance document, but a complete control chain stretching from pre-launch to runtime, and onto post-incident traceability.

CyCraft deconstructs this control chain into three actionable phases: XecART stress-tests model risks before deployment; XecGuard safeguards inputs and outputs during runtime; XCockpit quantifies the overall risk posture into traceable metrics. Interlocking these three components ensures that every step AI takes is visible, manageable, and auditable. CyCraft’s objective is clear: make AI behavior measurable before its value can be priced. Ultimate technical leadership must be converted into commercial resilience that is governable, auditable, and open to investor scrutiny.

The technological revolution of AI Reasoning Models and Agentic AI is an undeniable reality. The ultimate challenge lies in whether enterprises can implement “controllable, auditable, and highly transparent” AI governance within real-world commercial environments. From being recognized in international research reports to taking the stage at top-tier academic conferences, CyCraft continues to prove that from visionary R&D to product commercialization, Taiwan’s AI cybersecurity prowess helps herald the future of a secure, trusted, and prosperous AI era.

Reports
Gartner, Emerging Tech: AI Vendor Race: Reasoning Models Reshape Providers’ Approaches to AI Pricing, 5 June 2026.

Disclaimer
Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a trademark of Gartner, Inc. and its affiliates.

Hashtag: #CyCraftTechnology

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About CyCraft

Vision & Value Thought Leadership Campaign – In 2025, Cushman & Wakefield launched the Vision & Value thought leadership campaign in Greater China. By conducting a range of marketing activities through multiple channels, including online social platforms and offline events, this initiative deepened Cushman & Wakefield’s ties and value proposition with clients and communities, significantly enhancing brand impact and demonstrating the firm’s market-leading position.

Earth Day Every Day ESG Marketing Campaign – To celebrate the 56^th Earth Day, Cushman & Wakefield launched the Earth Day Every Day 21-Day Low-Carbon Challenge campaign, running from April 22 to May 13, in conjunction with Bottloop, a pioneer in recycling and environmental conservation. Centered on carbon-reduction check-ins via the WeChat mini-program, the campaign paired with promotion on social media channels including WeChat, Weibo, Zhihu and LinkedIn. It recorded 300+ check-ins, with reduced carbon emissions of 366.5 kg, and achieved more than 43,900 views across social media, reflecting an innovative initiative in ESG marketing.

Cushman & Wakefield Client Interview Video Series – The Cushman & Wakefield Client Interview video series is a refined interview program launched via the Cushman & Wakefield WeChat Channel. With a format that blends expert dialogue with insights into real estate industry insights, the series targets key players in commercial real estate, property investment, urban renewal and associated fields. The series delivers a “talk show” for Cushman & Wakefield colleagues and clients, sharing industry trends through engaging conversation. The video series has reached more than 370,000 views, generating significant buzz in the industry and reinforcing our strong corporate branding.

KK Chiu, Chief Executive, Greater China, Cushman & Wakefield, said, “We are honored to receive such high recognition for our performance at the 12^th Phoenix Tree Marketing Awards. This achievement reflects trust and respect from our clients, media, and the real estate community, and marks an important milestone in the growth of our marketing capabilities across Greater China. We will continue to deliver innovative and integrated marketing initiatives to strengthen our brand positioning and elevate our industry presence. Because at Cushman & Wakefield, better never settles.”

Founded in 2015 at the inaugural WMMS Global Mobile Marketing Summit, the Phoenix Tree Awards form part of the industry’s premier recognition for mobile marketing excellence. Judged by an independent panel of senior experts, the awards evaluate criteria including innovation, strategy, execution and impact, celebrating companies that set new standards in brand marketing. Over the years, they have evolved into a symbol of professionalism and prestige, renowned for honoring high-quality case studies that drive industry advancement.

Hashtag: #Cushman&Wakefield

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About Cushman & Wakefield

Cushman & Wakefield (NYSE: CWK) is a leading global commercial real estate services firm for property owners and occupiers with approximately 53,000 employees in nearly 350 offices and 60 countries. In Greater China, a network of 23 offices serves local markets across the region. In 2025, the firm reported revenue of $10.3 billion across its core services of Valuation, Consulting, Project & Development Services, Capital Markets, Project & Occupier Services, Industrial & Logistics, Retail, and others. Built around the belief that Better never settles, the firm receives numerous industry and business accolades for its award-winning culture. For additional information, visit www.cushmanwakefield.com.hk or follow us on LinkedIn (https://www.linkedin.com/company/cushman-&-wakefield-greater-china).

The commitments, unveiled at a government-backed industrial development event in Asan, place Chungcheong at the centre of a broader strategy to spread high-technology manufacturing beyond the Seoul metropolitan area and existing semiconductor clusters. President Lee Jae Myung praised the companies’ “bold decision” and called for faster execution of major industrial projects, warning that global competition in semiconductors and artificial intelligence will reward countries that move with speed on permits, power, water and land.

Samsung plans to invest 140 trillion won, or about $90 billion, across the central region. The programme covers display panels, high-bandwidth memory-related capacity, semiconductor packaging substrates, batteries and other core materials. The group’s plan is expected to reinforce manufacturing links between Samsung Electronics, Samsung Display, Samsung SDI and Samsung Electro-Mechanics, whose operations span chips, OLED screens, batteries and electronic components.

SK hynix said it would invest 100 trillion won, or about $64 billion to $72 billion depending on exchange-rate calculations, in Cheongju, North Chungcheong Province. The plan includes the M17 NAND flash memory fabrication plant and P&T7, an advanced packaging and test facility. M17 is scheduled to break ground in 2026 and begin operations in the first half of 2029, while P&T7 is targeted for completion by the end of 2027.

The Cheongju expansion is intended to strengthen SK hynix’s NAND business and add back-end capacity at a time when artificial intelligence systems are raising demand for both high-performance memory and storage. While high-bandwidth memory has received the strongest investor attention because of its role in AI accelerators, large-scale data centres also require more NAND-based storage as models, user data and enterprise workloads expand.

The Chungcheong plan follows a wider national push in which Samsung Electronics and SK hynix are expected to invest hundreds of billions of dollars in new chipmaking hubs over the next decade. The government has framed the initiative as a “triple axis” strategy built around semiconductors, physical AI and data centres, with the aim of building industrial strength outside the traditional capital-area manufacturing corridor.

For Samsung, the Chungcheong investment gives the group a regional base for several linked supply chains. OLED production in Asan and surrounding areas can support premium smartphones, tablets, monitors and automotive displays. Battery investment strengthens Samsung SDI’s role in electric mobility and energy storage, while semiconductor materials and packaging substrates address one of the key bottlenecks in AI hardware production.

For SK hynix, Cheongju already has semiconductor infrastructure, making it a faster route for expansion than a greenfield project. The company has been one of the largest beneficiaries of the AI memory boom, helped by demand for high-bandwidth memory used with Nvidia graphics processors. Its latest investment signals that the company is also preparing for broader memory demand, including NAND and advanced packaging.

The scale of the commitments underlines the strategic importance of memory chips to South Korea’s economy. Samsung Electronics and SK hynix are the world’s two largest memory chipmakers, with dominant positions in DRAM and a major presence in NAND. Their investment decisions affect global supply, pricing expectations and the pace at which cloud companies can build AI infrastructure.

The programme also carries risks. Semiconductor investment cycles have often produced periods of oversupply after large capacity expansions. Investors have shown caution over whether the current AI-driven boom can absorb the output planned by the industry, especially if data-centre spending slows or if memory pricing weakens before new factories reach full capacity.

Infrastructure remains another challenge. Advanced chip plants require stable electricity, ultra-pure water, skilled engineers and rapid permitting. Lee’s comments on execution reflect concern that delays could undermine the industrial strategy. Local governments are expected to face pressure to accelerate utility connections, transport links and land-use approvals while managing environmental and community concerns.

Regional development is a central political theme of the initiative. By placing more advanced manufacturing in Chungcheong and other areas outside Seoul’s orbit, the administration is seeking to reduce economic concentration and create high-value jobs in provincial cities. That ambition will depend on whether new factories attract suppliers, research teams and service industries rather than functioning as isolated production sites.

The latest figure, based on a mark-to-market valuation of listed and unlisted holdings, showed a S$49 billion rise for the financial year ended 31 March 2026. The increase reflected stronger performance from Singapore-based portfolio companies, gains from divestments and a broader recovery in public market valuations. The portfolio has doubled over the past decade, underlining the scale of Temasek’s role as one of Asia’s most influential investment groups.

Temasek invested S$51 billion during the year and divested S$31 billion, resulting in a net investment of S$20 billion. Its one-year shareholder return stood at 10.5 per cent in Singapore dollar terms, while its 10-year return was 7.1 per cent. The 20-year return was 6.8 per cent, a measure closely watched because Temasek is designed to generate long-term returns for Singapore rather than chase short-term market gains.

Artificial intelligence has become a central plank of the company’s next phase of growth. AI-related investments now account for about 6 per cent of its portfolio, with plans to raise that exposure to 10-15 per cent by 31 March 2031. Temasek has already taken positions linked to leading AI companies including OpenAI and Anthropic, while also targeting the wider infrastructure needed to support the technology.

The strategy is not limited to model developers. Temasek is looking across the AI value chain, including semiconductors, cloud service providers, data centres, energy systems, foundation models and software infrastructure. That wider approach reflects a belief that the economics of AI will not be captured only by consumer-facing platforms, but also by companies supplying chips, computing power, storage, power capacity and enterprise software.

Chief executive Dilhan Pillay has described AI adoption as a pivotal phase in the digitisation trend that Temasek has followed for more than a decade. The company’s approach is expected to combine direct investments, listed equities and private market exposure, with a preference for flexibility at a time when valuations across parts of the AI sector remain elevated.

The stronger annual performance also comes after Temasek moved to sharpen accountability within its investment structure. From April 2026, its portfolio has been organised into three broad segments: Singapore-based portfolio companies, global direct investments, and partnerships and funds. The change is intended to improve execution and give clearer visibility on how different parts of the portfolio contribute to returns.

Singapore-based companies remain an anchor of Temasek’s holdings. These include major stakes in groups tied to finance, telecommunications, transport, logistics, infrastructure and real estate. Their performance helped lift the portfolio during the year, even as Temasek continued to diversify beyond its home market.

The company has also increased attention on private credit, an asset class that has expanded as banks have retreated from some forms of lending and institutional investors have sought higher-yielding alternatives. Private credit currently accounts for about 2 per cent of Temasek’s portfolio, with a target of 5 per cent by 2031. The allocation is expected to provide recurring cash yield and a different risk profile from the predominantly equity-heavy portfolio.

Sustainable living remains another major investment theme. Temasek’s sustainable living portfolio rose to S$49 billion as of 31 March 2026, supported by commitments in renewable energy, power grids and transition technologies. Its portfolio emissions remained at about 21 million tonnes of carbon dioxide equivalent, around 30 per cent below 2020 levels, though the company has signalled that rising electricity demand, higher capital costs and exposure to emissions-intensive businesses may complicate its 2030 reduction target.

Temasek’s global exposure continues to reflect a balance between Asia and developed markets. Its earlier vulnerability to China-linked volatility had weighed on returns, prompting a more disciplined approach to capital allocation and risk management. The latest numbers suggest that portfolio adjustments, divestments and stronger listed-market performance have helped restore momentum.