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Forest City SFZ sets out who may qualify for its 5% special corporate tax rate, how the separate Malaysia Digital tax incentive works, and which activities and conditions apply to each scheme.

JOHOR, MALAYSIA – Media OutReach Newswire – 29 August 2026 – Forest City has, over the past decade, built a recognised track record in green-building and sustainability credentials. Since the Malaysian Government announced the Forest City Special Financial Zone (“SFZ”) incentive package on 20 September 2024, the development has added a financial-services and digital-economy dimension. The Forest City Special Financial Zone (“FC-SFZ”) Tax Incentive offers a 5% special corporate tax rate for 10 consecutive years of assessment, extendable for a second 10-year period, to eligible companies undertaking qualifying fintech, Financial Global Business Services (“FGBS”) or Foreign Payment System Operator (“FPSO”) activities in Pulau 1, Forest City. Malaysia Digital Economy Corporation (“MDEC”) is the appointed government agency to process applications, which are assessed by the National Committee on Investment (“NCI”).

The FC-SFZ Tax Incentive is separate from Malaysia Digital (“MD”) Status and the MD Tax Incentive. A company does not need MD Status to qualify for the FC-SFZ Tax Incentive. Under MDEC’s current rules, an FC-SFZ applicant must also not have been granted another tax incentive for the same qualifying activity. Eligible MD Status companies may separately apply for the MD Tax Incentive, subject to the applicable criteria and approval process.

Key Incentives at a Glance

Forest City’s first decade was defined in part by its green-building and sustainability record. Forest City reports nearly 40 international awards and certifications as at August 2026, including LEED for Core and Shell (“LEED-CS”) Gold pre-certification and GreenRE Gold ratings. On 20 September 2024, the Malaysian Government announced the Forest City SFZ incentive package, adding a financial-services and digital-economy dimension to the development.

The current incentive landscape has four main components:

• Forest City SFZ corporate tax rate: Eligible companies undertaking qualifying fintech, FGBS or FPSO activities in Pulau 1 may receive a 5% special corporate tax rate for 10 consecutive years of assessment, extendable for a second 10-year period, subject to approval and continued compliance. The qualifying activity must use at least one promoted technology enabler specified by MDEC.
• Single Family Office (“SFO”) Scheme: A qualifying Single Family Office Vehicle (“SFOV”) may receive a 0% tax rate on chargeable income from its qualifying holding and investment activities for an initial 10 years, with a possible extension for a further 10 years, subject to the Securities Commission Malaysia (“SC”) requirements.
• Knowledge workers: Eligible knowledge workers working within the Johor-Singapore Special Economic Zone (“JS-SEZ”), which includes Forest City as a designated flagship area, may qualify for a special 15% personal income tax rate for 10 years, subject to the applicable conditions.
• Malaysia Digital tax incentive: This is a separate national incentive administered by MDEC. For New Investment, eligible companies may choose between a reduced tax rate — 0% on qualifying intellectual-property (“IP”) income, subject to the modified nexus approach, and 5% or 10% on qualifying non-IP income for up to 10 years — or an Investment Tax Allowance (“ITA”) of 60% or 100% of qualifying capital expenditure for up to five years. Different rates apply to the Expansion Incentive. Applications are open until 31 December 2027.

Taken together, these measures position Forest City SFZ as a potential regional base for qualifying financial-services and technology-enabled businesses assessing Malaysia’s tax framework, proximity to Singapore and access to ASEAN markets. However, the schemes are separate and should not be treated as automatically cumulative.

Forest City Tax Framework for Fintech and Technology-Enabled Financial Services

The FC-SFZ Tax Incentive is not a blanket 100% tax exemption for fintech, AI or technology companies. It is a 5% special corporate tax rate for qualifying activities under the FC-SFZ framework. MDEC is the appointed agency to process applications, while applications are assessed by the NCI.

The 5% rate applies to qualifying fintech activities, FGBS and FPSO activities carried out in Pulau 1, Forest City. The qualifying activity must utilise at least one promoted technology enabler: artificial intelligence (“AI”) or big data analytics (“BDA”); Internet of Things (“IoT”); cybersecurity; cloud; blockchain; creative media technology, including extended reality (“XR”) or mixed reality (“MR”); robotics or automation; or advanced network connectivity or telecommunications technology. Eligibility is not automatic based on location alone; companies must also satisfy the applicable corporate, activity, substance, regulatory and compliance conditions.

The “up to 100%” figure sometimes cited in relation to Malaysia Digital refers to the ITA available under the MD New Investment Incentive. It is an allowance on qualifying capital expenditure, not a 100% income tax holiday. The MD Tax Incentive is also separate from the FC-SFZ Tax Incentive and should not be assumed to stack with it for the same qualifying activity.

Comparison table:

For accurate and current policy information, companies should refer directly to official sources, including:

• MDEC — Forest City Special Financial Zone (FC-SFZ) Tax Incentive FAQ and application guidance
• MDEC — Malaysia Digital Tax Incentive FAQ and MD Status guidelines
• Securities Commission Malaysia — Single Family Office Incentive Scheme and gazetted tax rules
• Ministry of Finance / MRT Corp — JS-SEZ incentive package and Johor Bahru-Singapore RTS Link information

Malaysia Digital Status and Tax Incentive: A Separate National Framework

MD Status is granted nationally by MDEC. An MD Status company may then be eligible to apply separately for the MD Tax Incentive, subject to the relevant criteria. Under MDEC’s current framework, qualifying Malaysia Digital Activities comprise the research, development or commercialisation of solutions, or the provision of services, using promoted technology enablers such as AI or BDA, IoT, cybersecurity, cloud, blockchain, drone technology, creative media technology, integrated-circuit design with embedded software, robotics or automation, and advanced network connectivity or telecommunications technology.

Under the current MD Tax Incentive, the available options differ between New Investment and Expansion:

• New Investment: A 0% reduced tax rate on qualifying IP income, subject to the modified nexus approach, and a 5% or 10% reduced tax rate on qualifying non-IP income, for up to 10 years; or an ITA of 60% or 100% of qualifying capital expenditure against up to 100% of statutory income, for up to five years.
• Expansion: A 15% reduced tax rate on qualifying IP income, subject to the modified nexus approach, and non-IP income, for up to five years; or an ITA of 30% or 60% of qualifying capital expenditure against up to 100% of statutory income, for up to five years.

The “100%” figure therefore refers to the ITA rate under the New Investment Incentive. It does not mean that all company income is tax-free.

The MD Tax Incentive is open for applications until 31 December 2027. A company must first obtain MD Status before submitting an application for the MD Tax Incentive.

MD Status also provides access to non-tax benefits under the MD Bill of Guarantees, including the ability to apply for foreign knowledge-worker quotas and passes, subject to the relevant immigration requirements. MDEC’s Expats Service Centre administers the related Foreign Knowledge Worker processes for eligible companies.

Eligibility Summary: Entities, Sectors and Permitted Activities

Forest City SFZ 5% rate

• Activity-based: Qualifying services are limited to fintech-related activities, FGBS and FPSO activities.
• Technology condition: The qualifying activity must utilise at least one promoted technology enabler specified by MDEC, including AI or BDA, IoT, cybersecurity, cloud, blockchain, creative media technology, robotics or automation, or advanced network connectivity or telecommunications technology.
• Location condition: The qualifying activity must be carried out in Pulau 1, Forest City.
• Substance and compliance conditions: Approved companies must meet the conditions set out in their approval letter, including commitments relating to full-time employees, knowledge workers, annual operating expenditure, ESG requirements, relevant regulatory approvals or licences, and annual compliance reporting verified by an independent auditor.

Malaysia Digital (MD) Status and MD Tax Incentive

• Activity-based: MD eligibility is tied to Malaysia Digital Activities that use the promoted technology enablers specified by MDEC. Merely operating an AI, cloud, fintech or digital business does not automatically confer tax-incentive eligibility.
• Status and tax-incentive process: MD Status is granted by MDEC. The MD Tax Incentive is a separate application available to eligible MD or MSC Malaysia Status companies, depending on the relevant incentive category.
• Geographic scope: MD Status is a national programme and does not require a company to be located in Forest City.
• No automatic stacking: MDEC states that an FC-SFZ Tax Incentive applicant must not already have been granted a tax incentive for the same qualifying activity. MDEC also confirms that MD Status is not required to apply for the FC-SFZ Tax Incentive.

Accordingly, companies should assess the FC-SFZ and MD frameworks separately. Any proposed structure involving different activities, income streams or incentive programmes should be verified with MDEC and qualified tax advisers before any combined tax outcome is assumed.

Strategic Rationale: Proximity, Talent Incentives and Regional Access

Forest City’s location proposition is based on three interlocking factors: proximity to Singapore, targeted talent incentives and early investor interest.

• Proximity as operational leverage: Forest City lies approximately 2 km from Singapore at its nearest point, placing qualifying operations close to one of Asia’s major financial and technology hubs. The Johor Bahru-Singapore RTS Link will connect Bukit Chagar in central Johor Bahru with Woodlands North in Singapore. MRT Corp has stated that service is targeted to commence on 31 December 2026. The RTS Link does not serve Forest City directly, so onward road transport between Forest City and central Johor Bahru will still be required.
• Talent as a bundled enabler: Eligible knowledge workers in the JS-SEZ may qualify for a special 15% personal income tax rate for 10 years, while eligible MD Status companies may apply for foreign knowledge-worker quotas and passes through MDEC’s expatriate facilitation framework. These are separate benefits with their own eligibility and approval requirements.

By June 2026, Invest Johor reported that the Forest City SFZ had recorded 260 cumulative investor enquiries through the Invest Malaysia Facilitation Centre-Johor, against an RM2 billion investment target. Separately, the SC reported in October 2025 that six families had received conditional approval under the SFO Incentive Scheme, with indicative assets under management close to RM400 million.

This incentive framework sits alongside Johor’s rapid emergence as a major Malaysian data-centre market. JLL has highlighted strong data-centre expansion in Johor and the wider JS-SEZ, supported by major hyperscale investments and infrastructure development. This broader digital-economy momentum strengthens the regional technology narrative, but it should not be presented as a direct operating benefit or guaranteed outcome for individual Forest City SFZ companies.

Decision Framework: Two Pathways and a Diligence Caveat

The incentive structure is best assessed through two distinct pathways, with a separate due-diligence lens for investors and advisers.

• Pathway A – FC-SFZ presence on Pulau 1: This is relevant to eligible fintech companies, FGBS providers and FPSO businesses that can satisfy the physical-location, activity, substance and compliance requirements. The 5% special corporate tax rate is available for 10 consecutive years of assessment and may be extended for a second 10-year period, subject to continued compliance and approval.

This route may suit businesses that value proximity to Singapore while maintaining qualifying operations in Pulau 1. The RTS Link is expected to improve connectivity between central Johor Bahru and Singapore, but it does not remove the requirement for companies to maintain the approved substance and qualifying activities in Forest City.

• Pathway B – MD Status and MD Tax Incentive nationwide: This pathway may be relevant to eligible digital companies operating elsewhere in Malaysia. MD Status is granted nationally by MDEC, and eligible companies may subsequently apply for the MD Tax Incentive. The applicable reduced tax rate or ITA depends on whether the company applies under the New Investment or Expansion category and on the conditions it meets.

Investors and advisers should note that headline rates are not the same as effective tax rates. The outcome for any entity depends on qualifying activities and income, approved commitments, substance conditions and the specific incentive secured. Groups with annual consolidated revenue of EUR750 million or more may also be subject to Malaysia’s domestic top-up tax rules where the relevant effective tax rate falls below 15%. Tax outcomes should therefore be modelled only after verification against current primary sources and professional advice.

The Verdict

Forest City’s proposition to fintech and technology-enabled financial-services companies is specific and condition-based: a 5% special corporate tax rate for qualifying fintech, FGBS and FPSO activities carried out in Pulau 1 using promoted technology enablers. The incentive runs for 10 consecutive years of assessment and may be extended for a second 10-year period, subject to compliance and approval. It is neither a blanket 5% rate for all AI or technology companies nor a 100% income tax exemption.

Alongside this are the separate SFO Incentive Scheme, which may provide a 0% tax rate for up to 20 years subject to SC requirements; the JS-SEZ’s special 15% personal income tax rate for eligible knowledge workers for 10 years; and the national MD Tax Incentive, which offers different reduced tax rates or ITA options depending on whether an applicant qualifies under the New Investment or Expansion category. Applications for the MD Tax Incentive are open until 31 December 2027.

Reported traction includes 260 cumulative investor enquiries recorded by Invest Johor by June 2026 and six families granted conditional approval under the SFO Incentive Scheme, with indicative assets under management close to RM400 million as reported by the SC in October 2025. Forest City also benefits from proximity to Singapore, while the RTS Link is targeted to commence service on 31 December 2026 between central Johor Bahru and Woodlands North.

For companies and investors, the key question is not simply whether these incentives exist, but whether their exact activities, income streams, location, substance commitments and corporate structure satisfy the conditions required to access them in practice. Current official guidance and qualified tax advice should be obtained before any investment or structuringHashtag: #ForestCity

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Under the theme “The Dreamatic Circus”, DELF 2026 explores how artificial intelligence (AI), immersive technologies, and other innovations are transforming the cultural and creative industries while creating new opportunities for digital entertainment and smart living. Running for three days, the event features four themed experience zones: Digital Entertainment, Culture and Arts, Smart Living and Business, and Robotics and Drones, showcasing more than 35 technology exhibits and interactive experiences.

Highlights include the immersive art exhibition of Hong Kong animation IP Another World, AI-powered fashion innovations, combat robots, drone performances, screenings, workshops, and competitions, offering visitors first-hand experience of emerging technologies.

DELF 2026 brings together more than 60 industry leaders, creators, academics, experts, and investors from Hong Kong, the Mainland, and overseas. The programme includes keynote speeches and panel discussions on AI collaboration, intellectual property development, the creative economy, smart living, film, gaming, animation, and immersive technologies.

On the first day, Cyberport signed memoranda of understanding respectively with Alibaba Cloud, The Hong Kong Academy for Performing Arts, and Hong Kong Shue Yan University. The partnerships will promote AI innovation, art-tech development, entrepreneurship, skills training, and talent cultivation, further strengthening collaboration among industry, academia, and research sectors.

Over the next two days, DELF 2026 will continue with eVTOL flight demonstrations, esports experiences, AI creative learning programmes, and showcases of AI-assisted animation and film projects. A special “Play to Earn” campaign will also allow visitors to complete missions, collect rewards, and win exclusive Another World merchandise.

For more information, visit: https://delf.cyberport.hk/tc/index

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Hashtag: #DELF

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Hashtag: #Aolani #AIInfrastructure #TokenFactory #Neocloud

https://www.aolanicloud.com/
https://linkedin.com/company/aolani-cloud

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Aolani

For more information, visit www.aolanicloud.com and follow @AolaniCloud on LinkedIn.

Empowering SMEs and Working Professionals to Embrace AI and Foster Widespread AI Adoption in Hong Kong

HONG KONG SAR – Media OutReach Newswire – 28 August 2026 – The Hong Kong Productivity Council (HKPC) today held the Launching Ceremony of the “AI for All” Inclusive Programme, aligning with the National 15th Five-Year Plan and the “AI+” initiative, and supporting the HKSAR Government’s policies of “industries for AI, AI for industries” and “AI for All”. Coordinated by the Innovation, Technology and Industry Bureau (ITIB), the “AI for All” Inclusive Programme aims to promote the widespread adoption of AI across society. As one of the programme implementation partners, HKPC will lead the “AI with HKPC – Business Empowerment” sub-programme, focusing on practical business applications, talent development, and inclusive technology adoption. The initiative will provide targeted support to SMEs, professionals, labour groups, and underprivileged communities through a range of training courses, hands-on application programmes, and industry-academia-research collaboration, promoting AI literacy and the practical deployment of AI technologies.

Professor SUN Dong, JP, Secretary for Innovation, Technology and Industry, officiated at the ceremony, joined by Mr Emil YU Chen-on, BBS, JP, Deputy Chairman of HKPC, and Mr Mohamed Butt, MH, Executive Director of HKPC. The event also brought together representatives from leading international and Chinese Mainland technology enterprises, chambers of commerce, and industry leaders, who shared successful case studies and practical insights, fostering collaboration across sectors to advance Hong Kong’s AI ecosystem.

Professor SUN Dong, JP, Secretary for Innovation, Technology and Industry, said: “AI has become a key factor in global industrial upgrading and driving the development of the digital economy. Helping SMEs to achieve digital transformation and enhance competitiveness through AI is one of the focal points of the ‘AI for All’ inclusive programme. This time, HKPC as the third implementing organisation for the ‘AI for All’ inclusive programme, leverages its years of experience serving businesses to provide targeted and professional support to SMEs, helping them seize opportunities in the AI era. I hope that through the ‘AI for All’ inclusive programme, AI will not only serve as an empowering tool to enhance corporate value and competitiveness but also transform into a super dividend that benefits SMEs and the general public. Let ‘AI for All’ become Hong Kong’s vision for ‘Upgrading for All’ and ‘Opportunities for All’.”

Mr Emil YU Chen-on, BBS, JP, Deputy Chairman of HKPC, said: “AI should not be a privilege reserved for large enterprises. It should become a productivity tool that every business, every employee, and people from all walks of life can leverage. HKPC has long been committed to helping enterprises, particularly SMEs, enhance productivity, drive digital transformation, and convert innovative technologies into tangible business value. We focus on integrating AI technologies across different industries by providing practical, scalable and replicable solutions that support smart transformation. As one of the implementation organisations of the ‘AI for All’ Inclusive Programme, HKPC will centre its efforts on ‘AI with HKPC – Business Empowerment’, connecting Government, industry, academia, technology partners and social service organisations to help enterprises, SMEs, professionals and underprivileged communities acquire AI capabilities and transform AI into real productivity and business value, thereby advancing Hong Kong’s high-quality development and digital inclusion.”

“AI for All” Officially Launches with “Business Empowerment” Series to Drive Widespread AI Adoption

To advance the “AI for All” Inclusive Programme, HKPC has launched the “AI with HKPC – Business Empowerment” training series, centred on practical business applications. Through a two-year training and promotion programme, HKPC will work with technology companies, chambers of commerce, labour groups and community partners to help SMEs, professionals, working individuals, labour organisations, underprivileged groups and the general public acquire AI knowledge and application skills. The initiative aims to accelerate the adoption of AI and support digital and smart transformation across industries, sectors and communities through three key focus areas:

1. Business and Industry Upgrading: Through AI-focused programmes such as “AI+ Industry Boost Training” and “SME AI Connect”, enterprises can rapidly adopt AI technologies to enhance productivity and competitiveness. Key training topics include:

• Practical Applications of Generative AI: Learning how to use generative AI tools for content creation, data analysis, and workflow optimisation.
• AI Applications Across Industries: Exploring how AI enhances efficiency, optimises operations and drives innovation in sectors including education, healthcare, manufacturing, retail and logistics.
• AI Project Workshops: Providing hands-on experience in AI application development and implementation, enabling participants to integrate AI solutions into real business scenarios.

2. Human Resources and Leadership: HKPC will continue conducting the “Hong Kong Enterprise AI Application Trends Survey” and share insights through “AI Talent Winning Tips”, helping organisations understand AI talent management and application trends while preparing for future workforce needs. Key topics include:

• AI and Career Development: Examining the impact of AI on the future workplace and helping professionals understand emerging skills requirements.
• AI Talent Management and Application Strategies: Sharing successful corporate experiences and practical strategies for AI transformation and talent development.

3. AI for ALL: Through the free online learning platform “AI BiteClass”, HKPC will provide convenient AI learning resources for SMEs, professionals, senior citizens and underprivileged communities, enabling people from all backgrounds to access AI fundamentals and the latest application trends anytime, anywhere. Key topics include:

• Introduction to AI Fundamentals: Covering basic AI concepts, operating principles, common use cases and future trends.
• Getting Started with Generative AI: Introducing generative AI tools and their everyday applications.
• AI Ethics and Responsible Use: Building awareness of responsible AI adoption, including issues relating to data privacy, bias and transparency.

“AI BiteClass” Debuts at Launch Ceremony, Bringing Global Technology Expertise to Hong Kong

As part of the launch event, HKPC presented a live edition of the “AI BiteClass”, featuring experts from HKPC and leading global technology companies, including Amazon Web Services (AWS), Google Cloud, Huawei Cloud, Lenovo, Samsung, Tencent Cloud and Microsoft. The sessions shared practical AI techniques and real-world application cases tailored for SMEs. Through concise yet insightful presentations, the guest speakers highlighted the best practices and implementation strategies for AI, demonstrating how businesses can leverage AI to drive growth and enhance operational efficiency.

Looking ahead, the “AI BiteClass” will introduce a range of free online courses covering popular topics such as generative AI, AI agents, workflow automation, data analytics and enterprise transformation. Members of the public will be able to access practical AI learning resources at any time through the online platform or via iAM Smart.

HKPC has long positioned itself as a “technology adopter and enabler”, committed to helping enterprises transform innovation into tangible business value. Since 2024, HKPC has organised more than 600 AI training sessions, serving over 32,000 participants, including SMEs, large enterprises, HR professionals, industry leaders, students, educators and members of the public. These efforts have played a pivotal role in fostering a more competitive AI application ecosystem in Hong Kong.

A series of “AI with HKPC – Business Empowerment” activities will be rolled out progressively. Enterprises and members of the public are welcome to register via iAM Smart and stay updated on the latest programmes. Through collaboration with global technology enterprises, industry organisations and community partners, HKPC aims to bring AI into businesses, workplaces and communities, advancing the vision of “AI for All” while empowering enterprises and co-building Hong Kong’s intelligent future. For details, please visit: https://www.hkpcacademy.org/en/aiforall/

Please download the high-res photos HERE.

Photo Captions:

1. Professor SUN Dong, JP, Secretary for Innovation, Technology and Industry of the HKSAR Government, delivers a speech at the ceremony, sharing the Government’s vision for advancing the “AI for All” Inclusive Programme, accelerating AI adoption and fostering innovation and technology development in Hong Kong.
2. Professor SUN Dong, JP, Secretary for Innovation, Technology and Industry of the HKSAR Government (middle), Mr Emil YU Chen-on, BBS, JP, Deputy Chairman of HKPC (left), and Mr Mohamed Butt, MH, Executive Director of HKPC (right) officiate the HKPC Launching Ceremony of the “AI for All” Inclusive Programme, jointly promoting AI literacy and application.
3. Mr Emil YU Chen-on, BBS, JP, Deputy Chairman of HKPC, says HKPC will help enterprises and talent master AI technologies through the “AI with HKPC – Business Empowerment” series, supporting the transition from AI awareness to practical application.
4. The “AI for All” Inclusive Programme attracts representatives from the business and innovation and technology sectors to explore the latest AI developments and application opportunities.
5. HKPC hosts an “AI BiteClass” sharing session on the day of the Launching Ceremony, inviting technology companies and industry experts to present practical AI experiences and success stories, helping enterprises enhance productivity and competitiveness through AI.

Hashtag: #HKPC

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About the Hong Kong Productivity Council

The Hong Kong Productivity Council (HKPC) is a statutory body established in 1967, dedicated to enhancing the productivity and competitiveness of Hong Kong enterprises through world-class applied R&D, innovative technology services, and integrated manufacturing solutions. As a market-oriented, international R&D organisation, HKPC leverages its deep expertise and extensive industry experience in key areas such as AI, advanced manufacturing, life and health technology, green technology and new energy to drive new industrialisation and support the growth of emerging and future industries.

HKPC focuses on addressing businesses challenges and industrial technology needs, promoting the full integration between technological and industrial innovation. Through technology transfer, product innovation, intellectual property protection and commercialisation of R&D outcomes, the Council fosters collaboration with the local business community as well as top global R&D institutions, delivering added value to industries and advancing the development of new productive forces. HKPC’s world-class R&D achievements have been widely recognised over the years, winning an array of local and overseas accolades, reinforcing Hong Kong’s role as an international innovation and technology centre and a smart city.

To help enterprises capitalise on Hong Kong’s strengths in international connectivity to expand into global markets, HKPC offers comprehensive overseas expansion services tailored to critical areas including product development, technology, manufacturing, and management, enabling businesses to successfully go global from Hong Kong.

HKPC is also committed to providing timely and practical support to SMEs and startups with timely and practical , assisting them in accessing Government funding programmes. Through its FutureSkills training initiatives, HKPC helps both industry and academia stay ahead in latest digital and STEM technologies, nurturing a future-ready talent pool for Hong Kong.

For more information, please visit HKPC’s website: www.hkpc.org/en.

“The less developed a region is, the more it needs to pursue an innovation-driven development strategy.” This message, voiced at the conference, reflects the clear-eyed resolve of a provincial capital city.

That resolve is underpinned by real strengths.

Here, the National Dairy Technology Innovation Centre has shortened dairy-cattle breeding evaluation from four years to just 45 days and cultivated China’s first probiotic strain for infants and young children derived from Chinese breast milk, helping the “Dairy Capital of China” advance towards becoming a global dairy hub. A major scientific facility for aerospace, sky-to-ground, cross-scale metrology, benchmarked against international leaders, is rising in Horinger New District. Inner Mongolia University of Technology has launched the region’s first new-energy industrial large model open to the world. Meanwhile, a domestic enterprise—the only one currently able to produce 4N5 high-purity germanium products consistently—is helping quantum technology and calcium-titanium mineral photovoltaics overcome key raw-material bottlenecks. From a single microbial strain to a beam of light, technological and industrial innovation are converging here and reinforcing one another.

Even more compelling is the city’s tangible commitment.

Municipal fiscal investment in science and technology will double in 2026 and double again in 2027. Newly recognised national-level innovation platforms will receive a one-off research grant of RMB 3 million, while each “Qingcheng Science and Technology Innovation Leading Talent” may receive up to RMB 500,000 in research support. By 2030, Hohhot aims to introduce an additional 10 academicians of the Chinese Academy of Sciences and the Chinese Academy of Engineering, as well as 50 high-level innovation teams. Through a policy approach of “enjoy benefits without application and receive them directly and swiftly”, the city will provide inclusive computing-power vouchers, model vouchers and token vouchers to technology-oriented small and medium-sized enterprises—lowering barriers to innovation and demonstrating the city’s sincerity in supporting innovators.

Openness is a defining feature of Hohhot.

Drawing on the Hohhot Area of the China (Inner Mongolia) Pilot Free Trade Zone, the city is building an international science and technology cooperation base with countries along the Belt and Road. It is also deepening coordination with Beijing’s Haidian District through a “two-hour innovation circle”, exploring a new pathway in which research and development take place elsewhere while results are transformed and applied in Hohhot. Hohhot understands that innovation cannot thrive as an undertaking enclosed behind walls.

Like the Mongolian horse, it is resilient, diligent and determined—never resting until the goal is achieved. This is the character of the city: the breadth and inclusiveness of the grasslands, combined with the courage and pioneering spirit to open northwards, explore new frontiers and put ideas into action.

From the “Dairy Capital of China” to China’s “Cloud Valley”, from the pastures of Chilechuan to the computing-power clusters of Horinger, this green city is becoming a city of innovation.

Hohhot extends an invitation to the world: here there are supportive policies, real-world application scenarios and a genuine commitment to partnership—together with a vast landscape in which to join hands with those who strive and build for the future.

Hashtag: #Hohhot

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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

The issuer is solely responsible for the content of this announcement.

About Deepexi Technology

Deepexi Technology is China’s leading provider of enterprise large model AI application solutions. Through its FastData enterprise data intelligence solution and FastAGI enterprise AI solution, it empowers enterprises to integrate their data, decisions and operations efficiently at scale. Deepexi ranked fifth in China’s enterprise large model AI application solution market in terms of revenue in 2024. Its solutions have achieved large-scale commercialization across multiple verticals, including consumer goods, manufacturing, healthcare and transportation. As of June 30, 2025, Deepexi Technology served a cumulative total of 283 enterprise customers across various industries.

This press release contains forward-looking statements that involve risks and uncertainties. Actual results may differ materially from those projected. The company undertakes no obligation to update any forward-looking statements.

The Group continued to accelerate the large‑scale commercial deployment of its AI capabilities, building system‑level AI capabilities around the framework of “one model system, one Token Factory, and one Agent Harness” to advance AI from intelligence generation toward end‑to‑end task execution and transform these capabilities into scalable commercial value.

Dr. Xu Li, Chairman of the Board and CEO of SenseTime, said: “SenseTime’s three-pillar core capability framework, built around ‘one model system, one Token Factory, and one Agent Harness’, uses a unified model system to continuously push the boundaries of intelligence, leverages infrastructure and optimization capabilities to reduce Token costs and strengthen cost‑based pricing power, and deploys agents deeply integrated into enterprise and individual workflows to deliver complete task execution capabilities. This framework enables SenseTime to move beyond pure price competition and create sustainable commercial value through differentiated technologies and services. At the same time, it allows us to expand our user base, drive recurring revenue growth, and lay a solid foundation for the Group’s high‑quality development.”

One Model System: Advancing Native Multimodal Intelligence and Long‑Horizon Agents with Global Leading Performance

In 2026, SenseTime released a series of models at a rapid pace, spanning native multimodal unification, visual perception and reasoning, controllable generation, long‑horizon agents, spatial intelligence, and physical world models. These included the NEO‑Unify architecture; SenseNova U1, U1.5 and U1.5‑Lite; SenseNova Vision; the office‑focused multimodal agent SenseNova 6.8‑Flash‑Lite; the content creation model SenseNova U1‑Pro; the spatial intelligence model SenseNova SI‑8B; and the Kairos 3.1 world model co‑developed with Ace Robotics. Across multiple core benchmarks, these models matched or outperformed leading international models, including Gemini, GPT, and DeepSeek. Less than four months after the U1 series was open‑sourced, the three projects had collectively garnered more than 11,000 stars on GitHub.

SenseTime is advancing from digital intelligence toward physical AGI through the closed‑loop framework of “architectural innovation, system capabilities, and high‑value delivery,” continuously translating technological breakthroughs into real-world applications and commercial value.

Token Factory: Upgrading from Compute Provisioning to Scaled Intelligence Production

SenseTime’s SenseCore is evolving into a production‑oriented Token Factory. Through integrated model and infrastructure optimization, as well as capabilities in model adaptation, inference optimization, heterogeneous scheduling, energy management and global service delivery, the Token Factory not only expands Token output and lowers unit costs, but also continuously enhances the reasoning, understanding, generation, and execution capabilities embedded in each Token.

In July 2026, SenseCore delivered an average daily Token service volume of 2.4 trillion, representing a YoY increase of approximately 22 times. As of the date of this announcement, the Group’s total deployed computing power had reached 48,000 Petaflops (P).

The Token Factory provides strong support for SenseTime in advancing the performance boundaries of its foundation models and scaling their commercial deployment. It has tripled the training speed for long‑context Agent models, increased image and video generation efficiency sixfold, improved reinforcement learning training efficiency, and shortened the cycle from model R&D validation to large‑scale deployment to just one week. In addition to supporting the SenseNova foundation model, the Token Factory now serves four external foundation model providers, establishing differentiated capabilities across high‑complexity computing domains, including AI for Science (“AI4S”), video generation, embodied intelligence, world models, and city‑level intelligent applications.

In addition, the Group remains committed to advancing the domestic compute ecosystem, increasing the MFU (Model Floating‑Point Utilization) of mainstream domestic chips by up to 2.5 times compared with the baseline levels established by chip manufacturers. SenseNova U1 has achieved Day 0 adaptation across more than ten domestic chip platforms.

Through compute‑energy synergy, the Company continues to reduce the unit cost of intelligence. During the Reporting Period, its Compute‑Energy Synergy Agent achieved load forecasting accuracy of 96% and generated cumulative electricity cost savings of more than RMB12 million. For every 10,000P of computing power, annual carbon emissions were reduced by 24,000 tons.

Agents Accelerate Adoption Across Enterprise and Consumer Markets, Delivering Value Through Workflow Integration and Enhanced Everyday Experiences

Building on its model and Token capabilities, SenseTime connects models, knowledge, tools, and workflows through a unified Agent Harness, transforming underlying AI capabilities into end-to-end task delivery solutions for enterprise and individual users.

The Group’s agents are rapidly expanding across both enterprise and personal workflows. During the Reporting Period, they served more than 1,000 enterprise customers across over 20 key industries, including education, government, marketing, logistics, banking, and insurance. The Office Agent, Raccoon, has served major enterprises including Lenovo, Ping An Technology, China’s three major telecommunications operators, JD.com, and Kylin Software. Total users increased more than fivefold YoY, enterprise users grew more than sixfold, and monthly active users on the cloud platform increased nearly tenfold. In addition, the video‑generation agent Seko reached a daily video production volume of 10,000 minutes. Content created on the platform has amassed an estimated 1.5+ billion views across short‑video platforms, including 10 short-form dramas that have each surpassed 100 million views. AI productivity solutions are also expanding beyond large organizations to serve smaller teams and One‑Person Companies (OPCs). In the consumer market, the Kapi series of agents, covering use cases such as health, finance, and content creation, has surpassed 45 million cumulative users.

Computer Vision remains a strategic gateway for the Group’s expansion into industry verticals and overseas markets. During the Reporting Period, revenue from the business reached RMB500 million, accounting for approximately 17% of the Group’s total revenue. The business extended across more than 20 countries and regions and served more than 4,500 customers worldwide, with recurring customers contributing 67% of revenue.

Bridging Digital and Physical Intelligence, Unlocking Ecosystem Value

SenseTime continued to invest in frontier areas, including world models and embodied intelligence, intelligent terminals, smart healthcare, and chips. The increase in the valuation of certain AI ecosystem investments generated fair‑value gains, contributing to the Group’s first‑ever IFRS profit and reflecting the gradual realization of financial value from our ecosystem assets. Beyond short‑term investment returns, the more significant long‑term value of these ecosystem investments lies in enabling the Group gain early access to frontier domains, continuously acquire real‑world tasks, data, and feedback, and further strengthen SenseTime’s unified multimodal models and system‑level delivery capabilities.

SenseTime is deepening its “Three-pillar Framework”: one model system to raise the ceiling of intelligence and expand agents’ ability to handle complex tasks; one Token Factory to improve quality and efficiency, reduce costs, and enhance global delivery capabilities; and one Agent Harness to integrate multimodal models with the Token Factory, enabling AI to complete end‑to‑end tasks in real-world scenarios.

Looking ahead, SenseTime will continue to advance the iteration of multimodal agents, driving the evolution of the Token Factory from pricing based on Token volume to pricing based on task outcomes. The Group will also deepen the application of multi‑agent collaboration across enterprise, individual, and OPC workflows, delivering efficient and reliable productivity solutions to users.

Hashtag: #SenseTime

The issuer is solely responsible for the content of this announcement.

About SenseTime

Founded in 2014, SenseTime is a leading artificial intelligence (AI) software company, committed to its mission of “creating a better AI-empowered future through original innovation”. The Company continues to lead cutting-edge AI research while accelerating the large-scale commercialization of AI technologies.

Leveraging deep academic expertise and strong in-house innovation capabilities, SenseTime continues to enhance its industry-leading multimodal, multi-task general AI capabilities, while fostering a vibrant developer ecosystem through structured open-source initiatives.

SenseTime’s business spans Generative AI, Vision AI, and emerging innovation-driven segments. Underpinned by SenseCore, its next-generation AI infrastructure, the Company integrates computing power, algorithms, and platforms to enable scalable AI deployment. Building on this foundation, SenseTime has developed the SenseNova foundation model series, delivering cost-efficient capabilities across a wide range of general AI tasks. SenseTime continues to lead the global Vision AI market, ranking No.1 worldwide by market share. Its SenseFoundry platform integrates years of accumulated computer vision expertise with advanced multimodal foundation models, providing stable and efficient Vision AI solutions to industries worldwide.

SenseTime is listed on The Stock Exchange of Hong Kong, with operations spanning more than a dozen countries and regions.

Founder Jack Ma bought more than HK$600 million worth of Alibaba’s Hong Kong-listed shares over consecutive trading days, while chairman Joe Tsai and chief executive Eddie Wu together purchased more than HK$200 million of stock. The buying helped shares recover modestly after the placement triggered their sharpest setback in months, but the stock remained well below levels preceding the deal.

Alibaba priced 710 million new shares at HK$112.70 each, raising HK$80 billion, or about $10.2 billion. The price represented an 8.4% discount to the August 21 Hong Kong close of HK$123 and increased the company’s outstanding share count by roughly 3.7%.

Hong Kong-listed shares slumped 8.5% on August 24, closing at HK$112.50 after trading as low as HK$110.10. They recovered 1.5% to HK$114.20 on Tuesday as purchases by senior executives became known, leaving them still more than 7% below the price immediately before the placement was announced.

The transaction has become a test of whether investors will continue financing increasingly expensive AI expansion despite the near-term pressure it places on earnings and cash generation. Alibaba has earmarked all net proceeds for its full-stack AI capabilities, covering computing infrastructure, chips, models and other technologies required to expand its cloud and generative AI businesses.

Demand for the offering itself was strong. Investor orders reached roughly $28 billion, making the placement almost three times subscribed. Sovereign wealth funds and long-only institutional investors accounted for a sizeable portion of allocations. The deal ranks as the largest primary follow-on share offering by a Hong Kong-listed company.

The discomfort instead centres on the scale and timing of Alibaba’s capital requirements. The company spent close to $10 billion on capital expenditure during the three months through June, an increase of about 75% from a year earlier. Net profit dropped about 75%, while free cash flow turned into an outflow of roughly $6.6 billion.

Alibaba has already deployed almost half of the 380 billion yuan it pledged last year to spend on AI and cloud infrastructure over three years. Management has argued that rapidly growing demand justifies accelerating investment and has shortened its expected payback period for AI expenditure to about two-and-a-half years from three years.

That argument is supported by Alibaba Cloud’s accelerating expansion. Revenue from the cloud business has been growing strongly, helped by demand for AI-related products, while the company continues to build computing capacity overseas. Alibaba Cloud this month opened a third data centre in South Korea, taking its network to 104 availability zones across 30 regions.

Its Qwen family of large language models has also strengthened Alibaba’s position among leading Chinese AI developers. New iterations have improved performance in coding, reasoning and agent-based tasks, helping the company compete with models from domestic rivals and leading US technology groups.

Investors nevertheless face a difficult balance between the longer-term AI opportunity and the immediate financial cost. Expensive processors, servers, data centres and networking equipment require large upfront commitments, while competition is pushing model providers towards lower prices. Alibaba is simultaneously spending heavily on quick commerce and other consumer businesses, adding pressure to margins.

The share sale has also revived scrutiny of capital allocation. Alibaba spent years repurchasing billions of dollars of its own shares, only to issue new equity at a sizeable discount as AI spending accelerated. Although the company still has substantial cash resources, investors have questioned why such a large equity raising was preferable to greater use of its balance sheet or debt financing.

The expansion is being backed by more than $300 billion in announced investment commitments across data centres and associated digital infrastructure, putting the sector among the country’s fastest-growing infrastructure segments. The development pipeline could lift installed data centre capacity beyond 6.7 gigawatts by the end of the decade from more than 1.8 GW in the first half of 2026.

The scale of investment reflects a fundamental shift in the market as generative AI dramatically increases computing requirements. Cloud migration, digital payments, video streaming, 5G networks, enterprise digitisation and growing demand for local processing capacity are adding to workloads that require high-density computing facilities operating around the clock.

Forecasts differ considerably because industry studies use different definitions of operational capacity, committed projects and IT load. A separate assessment released in July projects operational data centre capacity at 12 GW by 2030, compared with 2.2 GW in 2025, as AI-focused capacity expands sharply. AI-dedicated capacity alone could rise from about 275 MW in 2025 to more than 6.5 GW by the end of the decade.

Power availability is emerging as one of the biggest constraints on that growth. Electricity demand from data centres is estimated to reach 13.56 GW by 2031-32, requiring major additions to generation, transmission and renewable-energy infrastructure. Developers are also adopting direct-to-chip liquid cooling, immersion cooling and other technologies designed to reduce the electricity and water requirements of increasingly dense AI computing installations.

Mumbai Metropolitan Region and Chennai remain the largest established data centre markets, benefiting from submarine cable connectivity, fibre infrastructure and concentrations of enterprise customers. Their position at international cable routes connecting Europe, West Asia and Southeast Asia has helped establish both regions as major gateways for hyperscale capacity.

Hyderabad, Delhi-NCR and Bengaluru are now attracting a larger share of planned development as operators seek new land, power and connectivity options. Hyderabad could add 600-700 MW by 2030 to its existing capacity of about 178 MW, while Delhi-NCR is expected to receive another 500-600 MW against a current base of roughly 179 MW.

Global technology companies and large domestic groups are driving the investment cycle. Google has begun construction of an AI hub in Visakhapatnam as part of an approximately $15 billion investment planned between 2026 and 2030. The project combines gigawatt-scale computing infrastructure with subsea connectivity and new energy capacity, making Visakhapatnam an emerging data centre location on the east coast.

Reliance Industries is developing a 168 MW AI-enabled data centre in Jamnagar that Meta will lease, with an option to expand capacity. The facility, expected to be delivered within two years of the June 2026 announcement, will use renewable electricity and desalinated seawater for cooling. It will become Meta’s first built-to-suit data centre capacity in the country.

Real estate groups are also moving into infrastructure traditionally dominated by specialised data centre operators. Lodha Developers has earmarked about 400 acres at Palava near Mumbai for a data centre park and plans roughly 1 GW of powered-shell capacity, with Amazon Web Services and STT Global Data Centres identified as anchor operators. The powered-shell development alone is expected to require roughly ₹10,000 crore to ₹11,000 crore.

Other projects are expanding the competitive field. Yotta Infrastructure is developing additional capacity in Greater Noida, Anant Raj is targeting 357 MW of IT load across locations in Haryana by FY2032, while Prestige Group and NTT Data have agreed to develop a Bengaluru facility with 100 MW of overall capacity and 67.2 MW of critical IT load. NTT is also among the companies pursuing substantial additions in Hyderabad.

The financing is a key milestone for TW1 Empyrion Digital’s strategy of developing high-quality digital infrastructure across Asia’s key markets.

Located in Neihu, Taipei, TW1 is a carrier-neutral colocation facility designed to meet Taiwan’s growing demand for reliable, scalable and well-connected digital infrastructure. The facility will offer colocation solutions to enterprise, cloud and digital infrastructure customers with the capacity and connectivity to support AI deployment alongside their evolving compute needs.

Teruo Iwamoto, Chief Financial Officer of Empyrion Digital, said:

“Closing this financing is another important step in our growth in Taiwan. It reflects the strong fundamentals of TW1 and our financing partner’s confidence in the project and Taiwan’s broader digital infrastructure market. We thank E.Sun Bank, our advisers and all our partners for their support throughout the financing process.”

E.Sun Bank, said:

E.Sun Bank is pleased to support Empyrion Digital in the financing of TW1. As AI, cloud computing and digital services continue to grow, resilient and high-quality digital infrastructure is becoming increasingly important to Taiwan’s digital economy. E.Sun Bank is committed to leveraging its financial expertise to support quality infrastructure projects with long-term development potential. We look forward to building a strong partnership with Empyrion Digital as TW1 progresses.”

The financing underpins the continued development of TW1 as Empyrion Digital advances its data centre portfolio across Asia. The company remains focused on delivering strategically located, high-quality colocation infrastructure to meet the region’s growing demand for AI, cloud, connectivity and data-intensive applications.

Empyrion Digital thanks E.Sun Bank, its advisers and the wider project team for their contributions to the successful completion of this financing.

Hashtag: #EmpyrionDigital

https://empyriondigital.com/
https://www.linkedin.com/company/empyrion-digital/

The issuer is solely responsible for the content of this announcement.

About Empyrion Digital

Empyrion Digital is a next-generation digital infrastructure platform committed to sustainable practices and operational excellence. Green-by-design, we develop and operate scalable, carrier-neutral AI-capable data centres for hyperscale and enterprise customers across Asia.

Headquartered in Singapore, Empyrion Digital is a portfolio company of Seraya Partners, a leading Asia infrastructure fund with USD 2.7 billion of assets under management.

For more information, visit www.empyriondigital.com.

The facility, launched on August 18, expands the company’s Korea region only about 14 months after its second data centre began operating. Alibaba Cloud established its first South Korean data centre in 2022 after entering the market in 2016, reflecting a faster infrastructure build-out as demand for generative AI and enterprise AI agents increases.

The third site adds capacity for computing, storage, networking, databases, security, containers and cloud-native services. It will also support workloads requiring lower latency and stronger disaster-recovery arrangements, while giving customers more options to distribute applications across separate facilities.

Alibaba Cloud has not disclosed the new centre’s power capacity, investment cost, number of graphics processing units or current utilisation rate. The company has indicated that additional computing equipment can be installed as customer demand expands.

Operating three data centres also changes the resilience of Alibaba Cloud’s South Korean infrastructure. With two facilities, disruption at one centre could leave the remaining location handling workloads alone. The addition of a third allows applications to remain distributed between two facilities if another suffers an outage.

The expanded configuration has enabled Alibaba Cloud to raise the service-level availability commitment for its Korea region from 99.95% to 99.99%, strengthening its pitch to companies running business-critical applications and AI services.

Enterprise AI is becoming an increasingly important part of that strategy. Alibaba Cloud is introducing six agentic AI services in South Korea covering development, testing, deployment, operations and cybersecurity. They include AgentRun, STAROps, ACS Agent Sandbox, Agent Security Center, AI Security Guardrails 2.0 and Agentic SOC.

The services are aimed at companies seeking to move AI agents from experimental projects into production environments, where governance, reliability and security become more demanding. Enterprises are increasingly looking beyond access to large language models towards infrastructure capable of operating autonomous or semi-autonomous software agents at scale.

Alibaba Cloud is pairing those services with its broader full-stack AI offering, including infrastructure, development platforms and the Qwen family of AI models. Qwen models have recorded more than 3 billion downloads globally, while developers have created more than 300,000 derivative models based on the family.

South Korean companies are already using parts of Alibaba Cloud’s AI ecosystem. Gwangju-based Gendive has integrated Alibaba models including Wan for video generation and HappyHorse for image generation into its DevDive enterprise automation platform. NAVER Z’s ZEPETO platform also uses Alibaba Cloud infrastructure to support real-time 3D avatar generation and immersive services across Asian markets.

Alibaba Cloud has built local partnerships with companies including Megazone Soft and Team Sparta, seeking to combine its infrastructure with consulting, implementation and industry-specific services. Such alliances are important in a South Korean cloud market where global hyperscalers compete with strong domestic technology groups.

Data sovereignty is another factor shaping cloud investment. Businesses handling sensitive information increasingly want workloads hosted within national borders, particularly as regulators pay greater attention to cybersecurity, resilience and governance surrounding AI systems. Alibaba Cloud says its South Korean infrastructure is designed to comply with applicable local data-protection and cybersecurity requirements.

The Korea expansion forms part of Alibaba’s wider commitment to spend about 380 billion yuan, roughly $53 billion when the programme was announced, on AI and cloud infrastructure over three years. The group has already committed substantial capital to computing capacity, chips and AI development as it attempts to establish cloud services as a larger growth engine.

Alibaba Cloud revenue rose sharply in the April-June quarter of 2026, with cloud and AI-related sales reaching about 48.4 billion yuan and growing 45% from a year earlier. The expansion has come at a cost: Alibaba’s quarterly capital expenditure climbed to nearly 67.7 billion yuan as spending on computing infrastructure and semiconductor components increased.

The company has also expanded cloud infrastructure in France, Japan, Malaysia and Mexico. With the new South Korean facility, Alibaba Cloud says its global network has reached 104 availability zones across 30 regions.

This year’s Games feature major upgrades in both scale and competition design. A total of 1,301 competitions across 51 events will see 2,056 humanoid robots from 666 teams worldwide take part. The number of events has nearly doubled from 26 in the inaugural Games to 51 this year, with new high-intensity head-to-head events such as table tennis and kickboxing. Scenario-based competitions have also expanded into real-world settings including industrial production, hotels, homes, and logistics, while dance events place greater emphasis on synchronized movement across multiple robots. More autonomous competition formats and significantly higher task complexity are placing stringent demands on networks for high-capacity uplink, millisecond-level responsiveness, and high reliability, supporting real-time robot telemetry, precise control signaling, and multi-robot coordination.

To meet these requirements, China Unicom Beijing and Huawei deployed a dedicated 100 MHz network, complemented by a 300 MHz LampSite ultra-wideband indoor network, to support real-time robot telemetry and precise signaling exchange. A dedicated 5QI 7 slice combined with carrier isolation keeps end-to-end latency for humanoid robots within 30 milliseconds, supporting millisecond-level decision-making and response while helping ensure the precision of multi-robot coordination, obstacle avoidance, and fine-motion control.

By further integrating the dedicated network with BeiDou RTK (Real-Time Kinematic) positioning, the solution delivers decimeter- to sub-decimeter-level positioning accuracy, supporting autonomous navigation, agile obstacle avoidance, and precision racing in complex environments. On-site tests recorded a peak uplink speed of 1 Gbps, with average latency below 30 milliseconds.

While safeguarding mission-critical connectivity for the robots, China Unicom has also made the network experience of on-site spectators a priority. To address the high-density, heavy-traffic demands of large crowds, network resources and service assurance policies are dynamically adjusted according to different phases and areas of the event, including admission, waiting, competition, and departure. Core services such as instant messaging, ticket inquiries, QR-code admission, and mobile payments are prioritized for stable access, while the network also accommodates data-intensive services such as photo uploads, short-video sharing, and live streaming. This allows spectators to stay connected, interact seamlessly, and share highlights in real time even during peak traffic periods.

On the operations side, China Unicom has also developed China’s first embodied AI robot management platform designed for event scenarios. Through a unique network ID assigned to each robot, event staff can monitor its location within the venue, competition status, and operational metrics in real time, creating a closed-loop operations and management system.

Yang Lifan, Deputy General Manager of China Unicom Beijing, said: “This network deployment is not only a real-world test of China Unicom’s network capabilities; it will also help us accumulate valuable network assurance experience for the large-scale deployment of embodied AI. China Unicom will continue to build on the experience gained through the 5G Capital initiative and turn technological innovation into tangible and replicable network capabilities for the Mobile AI era. In doing so, we aim to support industrial innovation and help bring Chinese solutions to the world with China Unicom’s expertise.”

David Li, President of Huawei’s Wireless TDD Product Line, said: “The 2nd World Humanoid Robot Games have provided a compelling real-world validation of the 5G-A 100 MHz GigaUplink network based on 3.5 GHz 2CC + 2.1 GHz SUL for embodied AI scenarios. Looking ahead, Huawei will continue to work with China Unicom Beijing to strengthen uplink capabilities and advance spectrum coordination, building multidimensional network capabilities with tiered and differentiated service assurance for multimodal device-to-cloud transmission. This will enable real-time interaction and precise control across a wide range of embodied AI scenarios.

“Networks are about more than speed. Low latency, high reliability, and ubiquitous coverage are equally important. Building on these capabilities, we will further advance the 5G Capital initiative, continue to expand the boundaries of network performance, and lay a solid foundation for the Mobile AI era, working with industry partners to enable an intelligent future.”

Hashtag: #Huawei #WorldHumanoidRobotGames

The issuer is solely responsible for the content of this announcement.

Autonomous AI Attack-and-Defence Demonstrates Next-Generation Cybersecurity Talent and Advance Regional Digital Security Talent Development

HONG KONG SAR – Media OutReach Newswire – 23 August 2026 – The AI x Cybersecurity Challenge, jointly organised by the Digital Policy Office of the Hong Kong Special Administrative Region Government, the Chinese Academy of Cyberspace Studies, the Hong Kong Cybersecurity Professional Association, and China Mobile Hong Kong Company Limited, and co-organised by Hong Kong Cyberport Management Company Limited, the Cyber Security and Technology Crime Bureau of the Hong Kong Police Force, the Hong Kong Productivity Council, Venustech Group Inc., and Hong Kong Cloud Peak Technology Co., Limited, held the Finals today.

Following a 12-hour online qualifying round, a total of 40 teams advanced to the Final Competition, including 20 teams from the Chinese Mainland, 18 from Hong Kong, and two from overseas regions. The Challenge adopts an innovative AI-Driven Dual (AID) competition format, in which artificial intelligence (AI) executes the competition and enables autonomous defence by AI agents. Teams of up to three members showcase their capabilities in leveraging AI technologies for automated vulnerability discovery and exploitation, competing for total prize money of HK$180,000.

The event brings together representatives from Government, industry, academia and research organisations to witness the latest developments in AI-powered cybersecurity innovation. Officiating guests at the Opening Ceremony included Professor SUN Dong, JP, Secretary for Innovation, Technology and Industry, Mr LI Shuguang, Director-General of the General Office of the Liaison Office of the Central People’s Government in the HKSAR, Mr WANG Jiang, Director-General of the Chinese Academy of Cyberspace Studies, Mr Daniel CHEUNG, JP, Acting Commissioner for Digital Policy, Mr WANG Minwei, Deputy Director of the Cyberspace Administration of Guangdong Province, Dr Rocky CHENG, JP, President of the Hong Kong Cybersecurity Professional Association, and Ms SHI Xiaoping, Director and Chief Executive Officer of China Mobile Hong Kong Company Limited.

In his opening remarks, the Secretary for Innovation, Technology and Industry, Professor Sun Dong, said that AI is reshaping every aspect of people’s life at a breathtaking speed. He noted that although innovation may at times bring new threats, these same technologies can also spur defensive capabilities. As such, the Government champions an “AI versus AI” strategy, leveraging AI to forge the strongest shields to effectively manage risks associated with the use of AI.

Professor Sun added that the Government is continuously strengthening related policies, guidelines and ethical frameworks, as well as conducting regular cyber-attack-and-defence drills to better prepare for cybersecurity readiness. Through multi-pronged efforts, the Government hopes to guide society to apply AI responsibly, foster a healthy ecosystem, and strengthen city-wide resilience in face of cyber attacks.

Addressing AI-Era Cybersecurity Challenges Through Talent Development

The rapid advancement of AI is reshaping the global cybersecurity landscape. AI has evolved from a supporting tool for security analysis and threat monitoring into a technology capable of autonomously constructing attack chains and bypassing existing defence mechanisms. This has significantly lowered the technical barriers to cyberattacks, making sophisticated attack techniques more automated and accessible. Threat actors can leverage AI for intelligent vulnerability discovery, automated penetration testing, and even the creation of highly convincing deepfake content, enabling stealthier and more persistent cyberattacks.

As emerging threats such as model security risks, data poisoning, model theft, phishing attacks, supply chain vulnerabilities and automated exploitation continue to evolve, the demand for interdisciplinary talent with expertise in both AI and cybersecurity is becoming increasingly urgent. In response, the organisers aim to promote the practical application of AI technologies through this hands-on competition while cultivating a new generation of cybersecurity professionals equipped with cross-disciplinary expertise.

AI-Driven Attack-and-Defence Competition Platform

Unlike traditional Capture the Flag (CTF) competitions, this year’s Challenge adopts an innovative AI-Driven (AID) competition format. Participating teams leverage AI-powered automated systems to analyse the competition environment provided by the organisers, identify vulnerabilities and exploit them. The automated capabilities of the AI agents include information gathering, vulnerability discovery and flag submission. The competition environment incorporates both vulnerabilities found in real-world scenarios and simulated zero-day vulnerabilities that may exist in software systems.

The challenge design draws on concepts from international cybersecurity competitions and incorporates practical operating scenarios as well as simulated zero-day attack-and-defence environments, testing participants’ ability to apply AI technologies to real-world cybersecurity challenges. The Challenge aims to enhance participants’ practical attack-and-defence experience and innovation capabilities, promote the research and application of AI security technologies, and nurture a new generation of cybersecurity talent equipped with both strategic vision and practical expertise. Through these efforts, the competition seeks to strengthen capabilities in addressing AI-driven cyber threats.

Government, Industry, Academia and Research Communities Join Forces to Advance AI Security

This year’s Challenge brings together stakeholders from government, industry and research institutions to drive innovation in AI security technologies, strengthen cybersecurity capabilities and cultivate future talent.

Mr Wang Jiang, Director-General of the Chinese Academy of Cyberspace Studies, said, “AI technologies are reshaping the global cyber attack-and-defence landscape. While they lower the barriers to cyberattacks, they also drive the evolution of security protection from reactive response to proactive and intelligent defence. In this technological contest, using technology to counter technology has become an inevitable trend. By focusing on practical AI attack-and-defence capabilities, this competition aims to identify emerging talent and contribute to building a more trustworthy and intelligent cyberspace.”

Ms Shi Xiaoping, Director and Chief Executive Officer of China Mobile Hong Kong Company Limited, said, “As one of the organisers of this competition, China Mobile Hong Kong has devoted substantial resources to building an innovative AI attack-and-defence competition platform. Through continuous technology investment and ecosystem development, we actively fulfil our corporate social responsibility while showcasing Hong Kong’s innovation and leadership in AI cybersecurity to the world.”

Dr Rocky CHENG, JP, President of the Hong Kong Cybersecurity Professional Association, concluded, “AI-driven cyberattacks and agentic AI-related risks have emerged as some of the most significant cybersecurity threats today. Against this backdrop, cultivating interdisciplinary talent with expertise in AI system design, development and practical attack-and-defence capabilities has become an important pillar in strengthening Hong Kong’s overall cyber resilience.”

The Awards Presentation Ceremony will be held in late September 2026 during the China Cybersecurity Week to recognise teams that have demonstrated outstanding performance in the competition. The organisers encourage enterprises and organisations to continuously strengthen their cybersecurity governance, regularly review information system risks, enhance data protection measures and improve cyber incident response capabilities. Young talents are also encouraged to pursue opportunities in artificial intelligence and cybersecurity, developing their expertise through training, professional certifications and hands-on competitions. Members of the public and organisations may also make use of the cybersecurity information, training programmes and support services provided by the Hong Kong Computer Emergency Response Team Coordination Centre (HKCERT) and other relevant organisations, helping to foster a safer, more secure and trustworthy digital ecosystem.

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About Hong Kong Computer Emergency Response Team Coordination Centre

Managed by the Hong Kong Productivity Council (HKPC), Hong Kong Computer Emergency Response Team Coordination Centre (HKCERT) is the centre for coordination of computer security incident response for local enterprises and Internet Users. Its missions are to facilitate information disseminating, provide advices on preventive measures against security threats and to promote information security awareness.

HKCERT collaborates with local bodies to collect and disseminate information, and coordinate response actions. HKCERT is also a member of the Forum of Incident Response and Security Teams (FIRST) and the Asia Pacific Computer Emergency Response Team (APCERT). We exchange information with other CERTs and act as a point of contact on cross-border security incidents.

About the Hong Kong Productivity Council

The Hong Kong Productivity Council (HKPC) is a statutory body established in 1967, dedicated to enhancing the productivity and competitiveness of Hong Kong enterprises through world-class applied R&D, innovative technology services, and integrated manufacturing solutions. As a market-oriented, international R&D organisation, HKPC leverages its deep expertise and extensive industry experience in key areas such as AI, advanced manufacturing, life and health technology, green technology and new energy to drive new industrialisation and support the growth of emerging and future industries.

HKPC focuses on addressing businesses challenges and industrial technology needs, promoting the full integration between technological and industrial innovation. Through technology transfer, product innovation, intellectual property protection and commercialisation of R&D outcomes, the Council fosters collaboration with the local business community as well as top global R&D institutions, delivering added value to industries and advancing the development of new productive forces. HKPC’s world-class R&D achievements have been widely recognised over the years, winning an array of local and overseas accolades, reinforcing Hong Kong’s role as an international innovation and technology centre and a smart city.

To help enterprises capitalise on Hong Kong’s strengths in international connectivity to expand into global markets, HKPC offers comprehensive overseas expansion services tailored to critical areas including product development, technology, manufacturing, and management, enabling businesses to successfully go global from Hong Kong.

HKPC is also committed to providing timely and practical support to SMEs and startups with timely and practical , assisting them in accessing Government funding programmes. Through its FutureSkills training initiatives, HKPC helps both industry and academia stay ahead in latest digital and STEM technologies, nurturing a future-ready talent pool for Hong Kong.

For more information, please visit HKPC’s website: www.hkpc.org/en.

New executive experience center helps business and technology leaders explore secure, connected AI workflows built around real business priorities.

SINGAPORE – Media OutReach Newswire – 19 August 2026 – tridorian today announced the launch of its Gemini Enterprise Experience Center in Singapore, a new physical space designed to help enterprise leaders explore how AI can support measurable business outcomes across functions such as operations, customer service, sales, finance, and internal knowledge work.

Located in tridorian’s Singapore office, the Gemini Enterprise Experience Center is intended to move the conversation beyond one-off AI experiments and feature-led demos. Instead, the center is designed around the practical questions that many organizations are now asking: which business problems should we solve first, how can AI fit securely into our existing systems and data, and what would an enterprise-ready path from idea to implementation look like.

Powered by Gemini Enterprise, including the Gemini Enterprise App and Gemini Enterprise Agent Platform, the center showcases how enterprises can securely connect business data, support multi-step workflows, and apply governance and oversight as AI use matures across the organization. Google Cloud describes Gemini Enterprise as an end-to-end system that combines secure connectors, workflow automation, governance, and identity controls, while the Agent Platform provides the foundation to build, scale, govern, and optimize enterprise-grade agents grounded in enterprise data.

Visitors to the center are guided through business-outcome narratives tailored to their role and priorities. A customer service leader might explore how AI can help reduce handling time while improving consistency. An operations leader might examine how multi-step workflows can reduce manual overhead. A CIO or risk leader might focus on governance, visibility, data controls, and the appropriate level of human involvement required for a production setting.

The center currently includes a live demo environment, which serves as a working example of how complex orchestration can be presented as a business workflow rather than a standalone chatbot interaction. In Google’s current product language, that shift reflects a broader move from isolated AI tasks towards governed systems that can support complex, multi-step work processes.

Jimmy Jigmo, CEO of tridorian said, “Most AI demos look impressive. Very few connect to the work that actually matters. The Experience Center exists because enterprise leaders don’t need more features. They need clarity on where AI fits, what governance looks like, and how to move from experiment to outcome.”

The center also offers structured workshops that guide teams from mapping business priorities and exploring role-based use cases to planning next steps like a pilot or MVP. This practical format aligns with Google Cloud’s Singapore agenda, focusing on immediate, real-world business results.

“Organizations today are moving beyond the initial excitement of AI and are now seeking solutions that are secure, governed, and fundamentally aligned with their operational realities,” said Giri Babu Madathala, Head of SMB Partnerships, JAPAC, Google Cloud. “Security and governance are no longer optional; they are the foundation upon which effective AI must be built. tridorian’s Gemini Enterprise Experience Center addresses this by providing customers with a sophisticated, hands-on environment to move from high-level experimentation to tangible results. It allows them to experience firsthand exactly how Gemini Enterprise can be integrated into their specific, real-world business workflows to drive meaningful operational efficiency”

For Singapore enterprises, this matters because AI adoption is increasingly judged not by novelty alone but by whether it can support productivity, decision quality, operational efficiency, and governance simultaneously. Singapore’s own responsible AI guidance stresses explainability, transparency, fairness, and appropriate human oversight, while enterprise examples such as DBS show that measurable value comes from disciplined implementation rather than hype.

Evan Febrianto, CTO, tridorian added “This is a place for leadership teams to explore where AI can make a difference in their business, what the right controls look like, and how to move from experimentation to enterprise implementation with greater clarity.”
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About tridorian

tridorian is a Google Cloud-focused services and solutions company helping organizations modernize platforms, AI, data, and applications. As a people-centric and an outcome-focused Google Cloud Premier Partner, tridorian specializes in building secure, governed AI systems designed for production. With operations spanning eight countries and customers across 14, tridorian ensures that technology only succeeds when the people using it do.

Reach out at tridorian.com/contact to discuss your business challenges and schedule a visit to tridorian’s Gemini Enterprise Experience Center.