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Two-year collaboration to support Hong Kong’s talent pipeline by strengthening STEM readiness and industry exposure among teen girls and young women aged 12-19

HONG KONG SAR – Media OutReach Newswire – 6 January 2026 – The FutureGen Girls Foundation (“the Foundation“) and Microsoft Hong Kong have signed a Memorandum of Understanding (MOU) to launch a two-year strategic collaboration aimed at expanding access to artificial intelligence (AI) and STEM education for teen girls and young women aged 12-19 across Hong Kong. The collaboration will focus on developing future-ready skills, mentoring networks, and pathways that help teen girls and young women imagine and pursue diverse career opportunities in a rapidly evolving world of work and further expand outreach to all.

Starting in year 2026, Microsoft Hong Kong will support the Foundation to support the development of new learning experiences that integrate AI education, hands-on digital skills training, and real-world career exposure opportunities. Through workshops, mentorship, recognized learning programs, and outreach initiatives, the collaboration seeks to broaden participation in emerging fields and level the playing field from teen girls and young women to all students.

This initiative aligns with the Foundation’s mission to empower teen girls and young women, helping them bridge youth to careers with confidence, purpose, and access to diverse industry pathways. Key highlights of the collaboration include:

• AI Skills Education: Integrating age-appropriate Microsoft AI learning tools and certification courses into FGG programs.
• Mentorship & Role Modelling: Connecting students with Microsoft professionals and student ambassadors.
• Community Engagement: Joint workshops, outreach activities, and participation in Foundation Youth Career Fairs.
• Real-World AI Application: Showing how AI is applied across industries and helping students understand real-world applications and inspire problem-solving skills.
• Inclusive Access: Ensuring opportunities reach students across diverse schools and districts.

“For many secondary school students, future development pathway can feel distant or unclear simply because they may not yet have the access or exposure to see what is possible,” said Jennifer Yu Cheng, Founder of the Foundation. “Our aim is to make that exploration easier – to open doors across more than 20 industries.”

“By expanding access to future ready learning and real world career experiences, we are helping to build a strong and diverse talent pipeline ready to step into the opportunities of tomorrow. This is the foundation of our collaboration with Microsoft Hong Kong.”

“Through this collaboration, we hope to empower students to unlock the courage to try, to explore different fields, and to image big futures for themselves,” said Secy Cheung, Foundation Founding Board Director. “The most meaningful change happens when young people realize that their voice and vision matter.”

Leo Liu, General Manager of Microsoft Hong Kong shared, “At Microsoft, we are deeply committed to empowering the next generation by democratizing access to AI and future-ready skills. Through trusted, secure platforms and hands-on learning experiences, we strive to make advanced technology accessible to all, fostering creativity, critical thinking, and lifelong learning. Together with the FutureGen Girls Foundation, we look forward to supporting Hong Kong’s youth to become frontier talent in the digital era.”

The foundation and Microsoft Hong Kong are committed to exploring further opportunities in future.

Hashtag: #FutureGenGirlsFoundation

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

About the FutureGen Girls Foundation

The FutureGen Girls Foundation (“the Foundation”) is a registered charitable organization dedicated to empowering teen girls and young women, bridging youth to careers. By collaborating with schools, industry partners, and community organizations, the Foundation creates pathways that support skill-building, career exploration, and youth leadership development across Hong Kong.

About Microsoft

Microsoft (Nasdaq “MSFT” @microsoft) creates platforms and tools powered by AI to deliver innovative solutions that meet the evolving needs of our customers. The technology company is committed to making AI available broadly and doing so responsibly, with a mission to empower every person and every organization on the planet to achieve more.

Thailand is moving quickly to reshape the digital map of Southeast Asia, with a surge in data centre construction and artificial intelligence investment shifting the country from a long-standing data transit role to a regional convergence point. New facilities clustered around Bangkok, Chonburi and the Eastern Economic Corridor are altering traffic flows, shortening latency across borders and drawing cloud, AI and content providers seeking scale outside established hubs.

The expansion reflects a change in how data moves across the region. Historically, much east-west traffic between South Asia, Greater China and the Pacific routed through Singapore before fanning out. With hyperscale campuses multiplying in Thailand, workloads are increasingly being processed and stored closer to end users, easing congestion and improving resilience. Network operators say the shift is visible in peering arrangements and cross-border fibre utilisation, with Bangkok emerging as a preferred interconnection point.

Policy has been a key driver. Authorities have offered investment incentives, fast-tracked permits and clarified power and land-use rules to attract large campuses. Grid upgrades and new renewable capacity have been prioritised to address the energy intensity of AI-ready facilities. The strategy aligns with a broader push to anchor higher-value digital services domestically, from cloud platforms and analytics to language models and industry-specific AI tools.

Global technology firms are responding. Cloud providers including Google, Microsoft and Amazon Web Services have expanded or announced investments to serve regional customers from Thai infrastructure, while chipmakers and systems integrators are working with local partners to deploy accelerated computing suited to AI training and inference. Industry executives cite Thailand’s central geography, improving power availability and maturing regulatory environment as decisive factors.

Domestic players are also scaling up. Telecom operators and property developers have formed joint ventures to build carrier-neutral sites, while energy companies are pairing data centres with solar and gas assets to stabilise supply. Universities and research institutes are increasing AI programmes to address talent gaps, with a focus on data engineering, cybersecurity and model governance. The goal is to ensure that infrastructure growth translates into local capability rather than pass-through capacity.

Competition across the region remains intense. Singapore retains strengths in finance, regulation and dense interconnection, but land and power constraints have pushed expansion elsewhere. Malaysia and Indonesia are adding capacity to serve fast-growing domestic markets, while Vietnam is drawing manufacturing-linked digital workloads. Against that backdrop, Thailand is positioning itself as a neutral aggregation point serving multiple neighbours within ASEAN, balancing scale with proximity.

Connectivity improvements underpin the shift. New submarine cable routes landing on both coasts, alongside terrestrial links to neighbouring countries, are diversifying paths and reducing dependence on a single choke point. Operators say this redundancy matters as enterprises distribute AI workloads across regions for cost, performance and regulatory reasons. Financial services, e-commerce and media firms are increasingly adopting multi-cloud strategies that favour locations offering reliable interconnection.

AI demand is shaping design choices. Facilities are being built with higher power densities, advanced cooling and space for accelerated hardware to support model training, while edge nodes closer to population centres handle inference and latency-sensitive tasks. This layered approach is changing how content delivery, language services and real-time analytics are deployed across Southeast Asia.

Google has committed USD 8 million to support a network of artificial intelligence Centres of Excellence in India, signalling a deeper push into applied AI for public services, health care and local-language technologies while tying the investment to a parallel clean-energy partnership aimed at powering digital infrastructure sustainably.

The funding, announced by Google, is designed to accelerate research, product development and deployment across priority areas that include healthcare delivery, Indic language models and urban governance tools. The company said the centres will work with academic institutions, startups and public-sector bodies to translate laboratory advances into systems that can be deployed at scale, reflecting a broader shift among global technology firms towards mission-oriented AI programmes.

The allocation targets three primary domains. In healthcare, the centres are expected to focus on AI-assisted diagnostics, disease surveillance and workflow automation to reduce administrative burdens on clinicians. Google has previously tested AI models for medical imaging and population health analytics, and the new funding is intended to localise such tools for regional health systems, with attention to data privacy and clinical validation. Researchers involved in early-stage planning say the emphasis will be on interoperable platforms rather than standalone pilots, a response to criticism that many AI health projects fail to move beyond proof of concept.

Language technology forms the second pillar of the initiative. India’s linguistic diversity has long posed challenges for digital inclusion, and the centres are tasked with advancing large language models and speech systems that perform reliably across Indic languages and dialects. Google has already released open datasets and models for low-resource languages; the new programme seeks to improve accuracy, reduce bias and expand access for education, e-governance and small businesses. Industry observers note that competition in multilingual AI has intensified as regional startups and global rivals race to build models that can handle code-switching and local context.

Urban governance rounds out the focus areas, with planned projects covering traffic management, air-quality monitoring and municipal service delivery. Smart-city programmes have generated mixed results over the past decade, often constrained by fragmented data and procurement hurdles. By situating research within Centres of Excellence, Google aims to create replicable frameworks that cities can adapt, rather than bespoke systems tied to individual vendors.

Beyond the AI investment, Google has paired the announcement with a new solar partnership intended to support the energy needs of data centres and AI workloads. The company has pledged to match growth in computing capacity with clean-energy procurement, aligning with its global goal to operate on carbon-free energy around the clock. Analysts say the coupling of AI funding with renewable energy reflects mounting scrutiny of the environmental costs of large-scale computing, particularly as generative AI drives higher power demand.

The USD 8 million commitment is modest compared with Google’s global AI spend, yet its targeted design has drawn attention from policymakers and researchers. Government officials involved in discussions around the Centres of Excellence say the model allows for shared governance, with academic rigour balanced against industry deployment expertise. The approach also aligns with national ambitions to position the country as a hub for responsible AI development, emphasising safety, transparency and societal benefit.

Competition among technology firms has sharpened as Microsoft, Amazon and others expand partnerships with universities and public agencies across the Global South. In this context, Google’s move is seen as both a strategic investment and a reputational play, aimed at demonstrating that advanced AI can address public-interest challenges rather than solely commercial applications. Startups working in health tech and language processing expect spillover benefits through access to datasets, compute resources and mentorship.

Google has unveiled its most affordable artificial intelligence subscription in India, aiming to challenge OpenAI’s popular ChatGPT Go service and expand the reach of its AI ecosystem. The new Google AI Plus plan is priced at ₹399 per month, with a special introductory offer of ₹199 for the first six months for new subscribers, a strategy clearly designed to attract price-sensitive users in one of the world’s fastest-growing digital markets.

The launch places Google directly in competition with OpenAI’s ChatGPT Go subscription, which has gained traction by offering enhanced features at a similar price point and, in some cases, bundled free access through promotions. Both plans now sit at roughly the same monthly cost, but key differences in features and ecosystem integration could shape consumer choice.

Google’s AI Plus plan gives subscribers expanded access to Gemini 3 Pro, the company’s most capable AI model yet, enabling advanced natural language understanding, coding assistance, creative tasks and complex research queries. It also includes Nano Banana Pro, Google’s latest image-generation and editing model, and enables video generation through tools such as Flow and Veo 3.1—features that aim to broaden appeal among creators and professionals alike.

Beyond generative capabilities, the plan bundles 200GB of cloud storage shared across Gmail, Google Drive and Photos, and allows users to share privileges with up to five family members, a benefit absent in many direct AI chatbot subscriptions. The integration of AI tools into everyday applications like Gmail and Docs is also a distinguishing factor for Google, tying advanced AI functionality directly into widely used productivity platforms.

Market analysts say the move reflects tech giants’ broader strategy to embed AI deeper into consumer ecosystems. By offering storage and productivity enhancements alongside generative AI, Google appears to be positioning AI as an everyday utility rather than a standalone service, contrasting with ChatGPT Go’s focus on conversational and research use cases.

OpenAI’s ChatGPT Go has been offered free for a year in various markets, including India under promotional deals, increasing its adoption among students, freelancers and casual users. Google’s decision to counter with a low-entry price signals recognition of the importance of competitive pricing in winning market share in regions where cost is a significant adoption factor.

Industry observers note that India has become a key battleground for generative AI services. The country’s large English-speaking population, burgeoning digital user base, and rapid uptake of smartphones have made it one of the most contested markets for AI subscriptions globally. This push comes amid substantial investment flows from global tech firms into the Indian AI and cloud sectors, including commitments from Microsoft and Amazon to expand infrastructure and services locally, underscoring broader confidence in the region’s long-term growth potential.

Despite aggressive pricing, some experts caution that affordability alone may not secure dominance. “Value for users increasingly depends on how AI integrates with everyday workflows,” said an independent technology analyst, pointing to the added utility of cloud storage and productivity enhancements in Google’s offer. “These extras could tip the balance for professionals and households in choosing one platform over another.” This assessment reflects growing sentiment that seamless application integration, rather than raw AI prowess alone, will be a key differentiator in consumer choices.

The launch also comes against a backdrop of regulatory and competitive developments in the AI landscape. Governments worldwide, including a policy proposal in India to impose royalties on AI firms that train on copyrighted local content, are scrutinising how large models are developed and monetised. Such regulatory pressure could shape how global AI companies price and deliver services in key markets.

Google’s broader AI strategy continues to evolve, with investments in advanced models and partnerships aimed at pushing generative AI beyond chat interfaces into practical, everyday tools. The company has also recently bolstered its AI collaborations, such as integrating advanced coding tools and developer platforms, and its executives have signalled an intensified focus on next-generation models and applications capable of supporting complex tasks.

Amazon has pledged to invest more than $35 billion in India by 2030, targeting a significant expansion of its technology, logistics, and export operations across the country. The announcement, delivered on 10 December at the Amazon Smbhav Summit in New Delhi, follows previous investments totalling about $40 billion since 2010 — including a $26 billion commitment in 2023.

The funding will be channelled along three strategic pillars identified by Amazon: AI-driven digitisation, export growth and job creation. The company intends to leverage artificial intelligence to reshape its marketplace operations and support small and medium-sized enterprises.

Amazon aims to boost cumulative exports from Indian sellers — which hit over $20 billion — to $80 billion by 2030. That step would represent a four-fold increase in volume while providing an impetus to local manufacturing, packaging, logistics and supply-chain networks.

As part of this push, the firm expects to generate at least 1 million new employment opportunities across direct, indirect and seasonal roles by the end of the decade. These would be distributed across technology, operations, logistics, fulfilment and customer support functions.

The announcement by Amazon aligns with similar large-scale commitments from other global tech players. A day earlier, Microsoft committed $17.5 billion for cloud and AI infrastructure in India, while Google has floated plans to inject about $15 billion over five years towards AI data-centre development in the country.

Amazon’s renewed commitment comes against a backdrop of intensifying competition in India’s e-commerce and delivery space. Firms such as Flipkart, along with app-based delivery services like Blinkit, Swiggy-led Instamart and Zepto, have rapidly expanded consumer-facing logistics, creating pressure on legacy players to scale up technological and operational capabilities.

According to a report by consultancy Keystone Strategy, Amazon’s past investments helped digitise over 12 million small businesses, enabled more than $20 billion in exports and supported around 2.8 million jobs as of 2024. The upcoming investment aims to deepen that impact by extending digital infrastructure, training, fulfilment and AI-powered tools to more businesses.

Microsoft has committed $17.5 billion — roughly Rs 1.5 lakh crore — to expand cloud and artificial-intelligence infrastructure in India, marking its largest investment ever in Asia. The announcement came after a meeting between Microsoft chief executive Satya Nadella and Prime Minister Narendra Modi in New Delhi. The funds will flow over the next four years, aimed at building data-centre capacity, upskilling the workforce and strengthening what the company calls “sovereign AI capabilities.”

Under the plan, Microsoft will significantly expand its cloud infrastructure footprint across several Indian states. A new hyperscale data-centre in Hyderabad is expected to go online by mid-2026, complementing existing facilities in Chennai, Pune, Mumbai, along with the company’s Jio-Azure regions in Maharashtra and Gujarat. The investment builds on a $3 billion commitment earlier this year — an amount that had already positioned India as a major node in Microsoft’s global AI ambitions.

Skill-development forms a core pillar of the strategy. The company aims to train millions of Indians in AI and related domains, equipping a growing workforce to design, manage and deploy advanced AI systems. Nadella described the investment as central to India’s “AI-first future,” emphasizing the need for both infrastructure and human capital to realise such a vision.

Industry analysts view the commitment as a signal that multinational technology firms increasingly see India not merely as a consumer market, but as a global hub for cloud and AI development. The scope and scale of Microsoft’s investment reflect a broader shift in the global tech landscape, where companies are betting on India’s large internet-user base and technical talent pool. The move could also encourage other global players to escalate investments, accelerating the pace at which India becomes a major node in the emerging AI economy.

Government officials welcomed the announcement as a boost to India’s ambition to emerge as a technology superpower. As Modi noted after the meeting, global optimism around India’s AI potential is growing — and the new investment is expected to create significant opportunities across industries, particularly for start-ups and youth seeking to build careers in cutting-edge technologies.

The size and ambition of Microsoft’s commitment also suggest that the company expects robust returns from a nation undergoing rapid digital transformation. By combining massive infrastructure build-out with aggressive talent development, Microsoft appears to be laying the groundwork for India to play a central role in shaping the next generation of global AI products and services — from cloud-native applications to enterprise-level AI deployments.

By Ashok Nilakantan Ayers SILICON VALLEY / SAN FRANSISCO / CALIFORNIA: The numbers are staggering. Microsoft has spent over $20 billion building data centres stuffed with the most powerful computer chips ever made. Meta is burning through billions more, weaving artificial intelligence into Instagram, WhatsApp, and Facebook. Google and Amazon are locked in a cloud-computing […]

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