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A call to action for leaders to prioritise connectivity, says new Global Business Connectivity Outlook Report SYDNEY, Jan. 21, 2026 /PRNewswire/ -- Expanding regionally and beyond is a growing priority for businesses across Asia. Yet with increasing investment in AI, leaders are blindsided when it comes to seamless connectivity across the region, says inaugural Global Business Connectivity Outlook Report launched recently. The 2025-26 report by global Managed Services Provider (MSP), Coevolve, canvasses the views of leaders regarding their business outlook and technology strategies. The report revealed a striking paradox: while expansion is high on the business agenda - with over 70% of leaders planning to expand outside of their local region in 2026 – connectivity, the backbone of regional and global operations, isn't getting the investment or attention it deserves. Further, for more than 1 in 2 leaders, new markets are driving their expansion plans, followed by new products (24%), and personnel requirements (10%). For business leaders in Asia, expansion doesn't come without its challenges. The report revealed that leaders are most concerned by the growing complexities of compliance (18%), technology (17%), and security (17%). At the heart of these challenges lies connectivity, and while almost three-quarters of leaders interviewed (70%) report that enhancing connectivity is essential, it is rarely spoken about at the board level, with AI, automation, and cyber resilience tending to dominate the conversation. The report also found that AI is dominating business technology investment. When asked about their tech priorities to enhance connectivity, 1 in 3 leaders in the region said that they are investing in AI, followed by cloud (24%), and network architecture (19%). Further, when it comes to the spending itself, AI makes up close to half of spending (45%), followed by Cloud (33%), with only 8% directed towards network architecture. Ciaran Roche, Coevolve CTO and Co-Founder, says, "It's staggering to see just how much network connectivity and security are being sidelined in favour of AI hype, leaving businesses in Asia exposed to risk, disruption, and digital fragility. At a time of increased regulatory pressures and issues with data governance, it is concerning that AI is nearly absorbing half of the technology budgets for Asian businesses – yet the foundational infrastructure that enables it is being neglected. You can't scale and grow across Asia on a broken foundation." Tim Sullivan, Coevolve CEO and Co-Founder, added, "It isn't a surprise that so many businesses are expanding within the Asian region and beyond; growth across the region makes sense from a strategic perspective. However, the emerging AI paradox among leaders is surprising. Companies are investing heavily in AI, yet we still haven't seen the full impact of AI on telecommunication networks and traffic flows across Asia. To help leaders overcome data and compliance complexities across Asia and other diverse geographies, connectivity truly needs to be on the agenda." The inaugural Global Business Connectivity Outlook Report canvasses the views of more than 50 global business leaders, drawing on in-depth interviews. The report serves as an independent pulse-check of the global business connectivity outlook for enterprises worldwide, including Asia. About Coevolve (https://www.coevolve.com/) Coevolve is a leading global Managed Services Provider partnering with some of the world's most complex enterprises in key sectors, including professional services and manufacturing. With over a decade of experience supplying co-managed solutions and proprietary Smart Services, Coevolve delivers measurable business value relevant to its clients, improving access to key business applications at scale and with peace of mind. CONTACT: Gemma ManningGemma@manningandcogroup.com
Sophos 是致力於對抗網路攻擊的全球創新資安解決方案領導者，今日宣布推出 Sophos Workspace Protection，進一步擴展其產品組合，協助組織保護混合式工作環境，並治理包含 AI 在內的新興技術使用。該解決方案以 Sophos Protected Browser 為核心，並由 Island 技術支援，使組織無論在何處工作，都能保護應用程式、資料、使用者與訪客，同時提供一套一致性的現代化工作空間防護方法。 重新思考混合式工作的資安防護 傳統的混合式工作防護方式，包括部署多套雲端交付的 SASE 與 SSE 解決方案，往往需要大量基礎架構、專業技術能力，以及持續的營運與管理成本。這種模式不僅提高了整體成本與複雜度，仍可能在現代工作的實際情境中留下可視性與控管上的缺口。 Sophos Workspace Protection 則採取截然不同的做法，直接在工作空間層級進行防護，無須將流量回傳至集中式基礎架構。此方式可降低營運負擔與成本，同時讓防護機制隨著使用者、應用程式、網際網路使用行為與資料而行，無論工作地點為何皆能受到保護，為各種資安成熟度的組織提供一種更簡單、無額外複雜度的混合式工作防護方式。 Sophos Workspace Protection 的核心是 Sophos Protected Browser，由 Island 技術驅動，並專為與 Sophos Central 平台無縫整合而設計。在當今的日常工作中，高達 85% 的工作活動是在網頁瀏覽器中完成的，Sophos Protected Browser 正是為了解決現代工作情境中的資安需求而開發。¹ 它為組織提供工作空間層級的可視性與控管能力，協助保護敏感資料、管理應用程式存取，並直接在瀏覽器內強制執行資安原則。 透過將安全控制嵌入使用者熟悉的操作中，Sophos Workspace Protection 讓組織能在企業內部與遠端環境中全面保護工作流程，同時不影響生產力。 IDC 研究總監 Mike Jude 表示：「隨著混合式工作、SaaS 採用以及 AI 工具不斷擴展工作空間，資安團隊正日益受到複雜性的影響。Sophos Workspace Protection 反映了市場中一項務實的轉變——透過整合式、以端點與瀏覽器為核心的方法，實現 SASE 與 SSE 的關鍵成果，簡化部署、降低營運負擔，並協助組織在不增加額外基礎架構的情況下，治理應用程式與 AI 的使用。」 治理影子 IT 與影子 AI 隨著包含生成式 AI 在內的新興技術逐漸融入日常工作流程，組織越來越難掌握這些工具的實際使用方式，以及透過其分享了哪些資料。近期研究顯示，全球已有超過一半的員工在工作中使用 AI 工具，而且往往是在正式政策或控管機制尚未建立之前即已開始使用，進而提高了影子 IT 與影子 AI 所帶來的風險。² 透過在工作空間層級提供可視性與控管能力，Sophos Workspace Protection 能協助組織評估風險、強制執行資安原則，並在整個混合式工作環境中，安全地管理新興技術。 Sophos Workspace Protection 組成元件 Sophos Workspace Protection 以一組具高度彈性的整合式元件提供，組織可依其資安與營運需求，選擇整套部署或單獨導入。Workspace Protection 套件由以下元件所組成： Sophos Protected Browser：一款以 Chromium 為基礎的企業級安全瀏覽器，由 Island 技術支援，提供應用程式使用控管、本機資料處理控管，以及網頁內容過濾功能；其同時整合 Sophos ZTNA，可安全存取私有 Web 應用程式，並支援 SSH 與 RDP 遠端管理連線。 Sophos ZTNA：一個零信任網路存取 (ZTNA) 元件，透過僅允許已授權使用者與符合安全狀態的裝置連線，提供以裝置狀態為基礎的安全存取，同時將應用程式隱藏於網際網路之外。 Sophos DNS Protection：透過雲端交付的 DNS 安全防護服務，可作為 Workspace Protection 的一部分部署至個別 Windows 端點，其可透過封鎖惡意或不必要的網域，提供額外的網頁與網路釣魚防護層。 電子郵件監控系統：部署於 Google 或 Microsoft 電子郵件服務旁的電子郵件資安附加元件，用於監控電子郵件流量，並加強對不必要或惡意郵件 (包含釣魚郵件) 的偵測能力。 這些元件共同為組織在保護現代化、混合式工作環境時，帶來多項關鍵效益與實際應用情境。 Sophos 執行長 Joe Levy 表示：「長期以來，Sophos 都是透過業界領先的端點與網路資安技術保護遠端與混合式工作者，然而，當今的工作環境對應用程式與資料的治理需求更加嚴格。許多 SASE 與 SSE 解決方案在增加複雜度與營運負擔的同時，仍無法消除可視性與控管上的缺口。透過結合 Island 的企業級瀏覽器技術、Sophos 的資安能力，以及 Sophos Central 平台，我們正協助組織以更容易部署與管理的方式，治理 AI 的使用、保護關鍵資料，並確保混合式勞動力的安全。」 Island 共同創辦人暨執行長 Mike Fey 指出：「混合式工作不應在安全性與生產力之間做出取捨。Island 能透過使用者已熟悉的瀏覽器保護資料、確保應用程式存取安全，並協助組織安全地擁抱 AI。與 Sophos Central 平台的整合，讓客戶能以更低的複雜度與更高的信心達成這些目標。」 組織可獲得的關鍵效益 Sophos Workspace Protection 協助組織保護分散式與混合式工作者，治理包含 AI 在內的新興工具與服務使用，同時支援約聘人員與合作夥伴快速且具彈性的存取需求。該解決方案亦能強化對抗網路釣魚、瀏覽器型威脅，以及其他鎖定現代工作空間使用者的攻擊防禦能力。 Sophos 客戶與合作夥伴將自 2026 年 2 月 起可使用 Sophos Workspace Protection。如需更多資訊，請造訪 https://www.sophos.com/workspace。
18 Local Training Providers selected for Phase Two of the Fund AVPN developed an AI Skilling Policy Toolkit aimed at governments and policymakers AVPN is also launching an AI training content hub, AI Learning for the Future of Work, for workers to access the Fund's Local Training Providers and their AI skilling programmes SINGAPORE, Jan. 21, 2026 /PRNewswire/ -- AVPN, the largest network of social investors in Asia, today announced three initiatives that further expand the impact of the AI Opportunity Fund: Asia-Pacific, supported by Google.org and the Asian Development Bank (ADB), which started as a USD 15 million Fund. Last year, the Fund expanded with an additional USD 10 million for Phase Two, which has selected 18 local training providers across Asia-Pacific. The 18 organisations were selected based on their skills and experience in AI skilling training. AVPN will work with the local training providers to develop and deliver the most effective programme, while ensuring the autonomy and flexibility of the organisations to meet the needs of the communities they serve. Building on the strong outcomes of Phase One, AVPN aims to have curriculums that ensure workers are prepared for an AI-ready workforce and continuing to overcome systemic barriers in the region. Beneficiaries include farmers, healthcare workers, vocational school and university students, those seeking employment, domestic workers or caregivers, and Professionals, Managers, Executives and Technicians. The full list of the organisations is available here. Amongst the organisations receiving funding are: Centre for Social and Behaviour Change (India) seeks to strengthen the capabilities of self-help group women. Workers with no prior exposure to AI will acquire practical, role-specific skills they can apply immediately. Crucially, the programme aims to build lasting institutional capacity by integrating AI modules into the government's cascade training systems based on the collaboration with the AI Mission of Government of Uttar Pradesh. Manabiya Mom Inc. (Japan) creates long-term impact by building digital confidence and employability among vulnerable groups in Japan's service economy. By equipping workers in tourism, retail, and caregiving with foundational AI skills, we help them enhance productivity, improve communication, and adapt to the changing labor market. MSME employees will gain tools for business competitiveness and digital transformation, while caregivers will benefit from time-saving AI applications. Ruang Kolaborasi Perempuan (Indonesia) strives to generate a significant impact for workers across various sectors by equipping them with the ability to utilise AI as a tool that enhances their daily tasks. For those seeking employment, this translates to crafting more persuasive CVs, preparing effectively for interviews, and identifying job opportunities with greater precision. For agricultural workers and fishers, AI will facilitate weather predictions, yield assessments, and more accurate production planning. For workers in micro, small, and medium enterprises (MSMEs), AI will create avenues to boost sales, comprehend customer behaviour, and manage businesses in a digital environment. In addition, AVPN is also building an AI training ecosystem through the AI Opportunity Fund. This includes a publicly-available AI training content hub, AI Learning for the Future of Work, which provides open access to Local Training Providers and their programmes for the general public to discover and enrol in relevant courses, thus increasing the number of workers able to benefit from localised AI upskilling. On a policy infrastructure level, AVPN has also developed an AI Skilling Policy Toolkit for governments and policymakers. Built on insights from the AI For All report and engagements with policymakers across Asia-Pacific, the Toolkit defines and translates design principles for more effective AI skilling initiatives into actionable policy considerations and implementation pathways that can be undertaken through the skill development cycle. AVPN hopes to use the AI Skilling Policy Toolkit to support ongoing and deeper policy engagements in 2026, helping to strengthen ecosystem alignment and provide a common reference point for unified approaches to AI skilling across the region. Naina Subberwal Batra, CEO of AVPN, said: "Workers in Asia Pacific have an urgent need for contextually relevant, localised, digital skills and relevant upskilling that will position them well for employability, entrepreneurship and job retention. Continuing on the strong momentum and results of Phase One of the AI Opportunity Fund, Phase Two of the AI Opportunity Fund initiative expands the good work that has been and continues to be done by the selected organisations in empowering workers across the region, partnering policymakers, reaching out to workers seeking resources, forging more equitable outcomes for all." Marija Ralic, Head of Google.org APAC, said: "At Google.org, we believe that for AI to truly be a force for good, its benefits must be accessible to everyone. We are incredibly proud to see the impact and continued momentum of the Google.org AI Opportunity Fund: Asia-Pacific as it moves into this next critical chapter, focused on scaling impact. By supporting an additional 18 local providers and launching the AI Content Hub, AVPN is making localized upskilling available to the public at an unprecedented scale. This hub serves as a central gateway where anyone can search and filter for localized training by market or language, allowing workers to seamlessly discover the training they need. From upskilling self-help group workers with AI tools through the Centre for Social and Behaviour Change in India to training caregivers via Manabiya Mom Inc. in Japan, this program is a vital step toward a future-ready workforce and Google.org's vision of unlocking opportunity for everyone, everywhere." Antonio Zaballos, Director, Digital Sector Office, ADB, said: "AI skills are essential but they are not sufficient on their own. For AI to drive inclusive and sustainable growth across Asia and the Pacific, skills development must be built on strong digital and data infrastructure, robust data governance, and the protection of critical information and systems. Through the AI Opportunity Fund, ADB is supporting a holistic, AI-ready ecosystem that links workforce skilling with policy readiness and scalable investment opportunities. This approach helps countries move beyond isolated pilots toward bankable, region-wide solutions that boost productivity, strengthen MSMEs, and improve public service delivery." Phase One of the Fund has trained over 300,000 workers through its 48 selected organisations or local training providers, across Asia Pacific as of December 2025. In Phase Two, AVPN continues to build a regional infrastructure for AI training and policy development through the addition of new Local Training Providers, the launch of the AI Content Hub and the AI Skilling Policy Toolkit. Together with the AIM ASEAN programme, a dedicated track focused on supporting MSMEs in Southeast Asia and launched in collaboration with ASEAN Foundation, AVPN's initiative aims to support training for 720,000 workers across Asia Pacific and 100,000 MSMEs across the Southeast Asia region in total by 2027. About AVPN AVPN is the largest network of social investors in Asia, comprising over 700 diverse members across 43 markets. Our mission is to increase the flow and effectiveness of financial, human, and intellectual capital in Asia by enabling members to channel resources towards impact. As an ecosystem builder, AVPN enables its members to connect, learn, act, and lead social impact efforts across key pillars while improving the effectiveness of deployed capital, bringing local field needs, regional expertise, and policy insights to the forefront. About Google.org Google.org applies Google's innovation, research, and resources to promote progress and expand opportunity for everyone.
推動AI驅動電郵安全、多語言通訊及企業級電郵系統建設 越南河內2026年1月21日 /美通社/ -- 1月16日第六次中國—東盟數字部長會議於在越南河內舉行。作為部長會議的配套活動，中方於1 月14 日舉辦中國—東盟數字生態合作交流活動，來自中國及多個東盟成員國的政府部門與企業代表出席。與會嘉賓包括東盟秘書長高金洪、多個相關部門官員，以及聯合國副秘書長兼數字與新興技術事務特使阿曼迪普・辛格・吉爾。各方圍繞「開放協同，釋放人工智能無限潛力」的主題，就數字生態合作方向深入交流。 Coremail副總裁吳秀誠於中國—東盟數字生態合作交流活動上發表專題分享 作為中國企業級電郵解決方案領域的重要參與者，Coremail 獲邀參與是次交流活動。在專題分享環節中，Coremail 副總裁吳秀誠以「大語言模型（LLM）背景下的多語種電子郵件發展與安全挑戰」為題，結合行業實踐與國際發展趨勢，分享相關觀察與思考。 吳秀誠指出，儘管企業通訊工具日趨多元，電子郵件依然是全球最廣泛使用的應用軟件之一，現時用戶數量約為29億，其中約七成郵件用於商務往來。近年來，隨着人工智能，尤其是大語言模型技術的快速發展，電子郵件正迎來新一輪智能化升級。 圍繞「AI+電郵」的融合創新，Coremail持續推動電郵能力解耦與數據資源整合，為企業辦公場景引入更高水平的智能化與自動化能力。透過Coremail大模型對接模組整合多元數據資源，系統已支援智能撰寫、內容潤飾、語言校對、郵件翻譯及智能摘要等多項功能，有效提升以電郵為核心的辦公效率。 同時，吳秀誠亦指出，隨着AI能力不斷提升，其被濫用及失控的風險亦隨之增加。在全球電郵攻擊及釣魚威脅持續上升的背景下，Coremail 正將AI技術引入企業電郵安全架構，重構電郵攻防體系。旗下CACTER郵件安全網關透過技術融合與行業適配，將大語言模型分析、網關攔截及數據防洩漏等能力整合為動態防護機制，為企業電郵提供多層次、全方位的安全保障。 在多語種應用與數字包容性方面，吳秀誠特別強調「普遍適用性（Universal Acceptance，UA）」的重要性。隨着全球域名系統的演進，以及本地語言域名與電子郵件地址的廣泛應用，確保不同語言與字符體系下的域名及電郵地址能被系統平等識別與支援，是建構開放與包容數字生態的基礎。在語言多樣性顯著的東盟地區，相關議題尤為關鍵。 他表示，為更好回應國際市場需求，Coremail持續優化多語種操作介面及多語種電郵地址支援能力，協助企業建立面向全球的「數字名片」。目前，Coremail的產品與服務已覆蓋25個國家及地區，廣泛應用於製造業、雲服務、能源、教育及基建等行業，為企業提供穩定且安全的電郵解決方案。 展望未來，Coremail 將進一步加快全球化布局，積極參與區域數字生態建設，並與產業夥伴攜手推動安全、可信及智能的通訊基礎設施發展。 更多資訊可瀏覽：www.coremail.ai 關於Coremail：Coremail作為領先的企業電郵解決方案供應商，深耕安全通訊技術逾27年。憑藉高穩定性、可擴展架構及AI智能技術，已服務逾20,000家企業客戶，支援超過10億終端用戶，廣泛應用於政府、金融、能源等關鍵行業場景，是企業數碼協作的信心之選。
此次戰略合作借助AI健康導航工具，進一步推廣混合就醫服務模式，助力Pacific Prime的客戶在東南亞地區便捷使用HDmall、HDcare及Jib AI三大平台。 HD致力於成為東南亞新興市場AI原生醫療健康服務的首要入口，為患者精準指引後續就醫方向，對接線下實體醫療服務資源。 曼谷2026年1月21日 /美通社/ -- 東南亞領先的AI原生醫療健康服務交易與導航平台HD今日宣佈與全球頂尖國際健康保險經紀及員工福利服務機構Pacific Prime達成戰略合作。雙方旨在為東南亞新興市場的個人、企業僱主及保險公司提供更透明、經濟的AI輔助就醫服務方案。 開創醫療服務支付新時代 在東南亞新興市場，社保預算壓力攀升與醫療通脹加劇，正推動公共及私營醫療領域加速向自費模式與混合支付模式轉型。目前，自費醫療支出已佔該地區醫療總費用的約40%，消費者對靈活就醫方案的需求日益迫切，此類方案需整合重大疾病保險保障、直接付費醫療服務與AI健康導航工具。 通過本次合作，Pacific Prime的個人及企業客戶將可同步接入HD旗下兩大核心平台 —— HDmall與HDcare，這兩大平台共同構成了東南亞地區規模領先的AI原生醫療健康服務交易體系。其中，HDmall已在泰國和印尼兩國整合超3000家醫療服務機構，提供涵蓋健康檢查、牙科診療、醫療美容及診斷在內的30,000餘項服務；HDcare則依托HD的合作醫院及外科醫生資源，推出經濟實惠的共付及全額賠付手術項目（包括痔瘡手術、胃腸手術及手部相關手術），在保障優質醫療質量的同時，最高可降低20%的費用。借助HD自主研發的人工智能技術Jib AI，客戶能夠以更透明、便捷的方式，瞭解直接付費醫療服務項目及保險範圍內的診療內容，並獲得AI輔助健康導航服務。 AI健康導航，賦能日常健康管理 Pacific Prime的客戶還將享有HDmall平台提供的一站式AI健康管理工具及數字化健康助手服務，功能覆蓋營養管理、女性健康、兒科保健、心理健康及疾病預防等多個領域。這些AI原生小程序推動用戶主動參與健康管理，實現個性化健康服務體驗，進一步夯實了HD成為東南亞AI原生醫療健康服務首要入口的願景。 創始人分享 HD首席執行官兼聯合創始人Sheji Ho表示： 「我們正見證東南亞新興市場醫療健康體系的結構性變革。在各國政府面臨財政壓力、保險公司應對通脹挑戰的背景下，消費者正逐步成為自費醫療的核心支付群體。通過與Pacific Prime的合作，我們依托AI智能技術與多元服務選擇，為數百萬人群打造更智能、經濟、便捷的健康管理方式。」 Pacific Prime創始人兼首席執行官Neil Raymond說道： 「我們的使命始終是幫助全球客戶作出更明智的保險決策。我們堅信，優質的保險方案應具備靈活性，能夠滿足個人及企業的個性化需求。畢竟，面對結構持續變化的員工群體，不存在'一刀切'的保險產品。與HD的合作，讓我們得以將這一使命從保險領域延伸至日常醫療健康服務場景。雙方將攜手幫助客戶探索更多新選擇，做出更科學的健康決策，享受無縫銜接的一體化醫療服務體驗。」 關於HD HD是東南亞新興市場領先的AI原生醫療健康服務交易與導航平台，在泰國和印尼兩國的合作醫療服務機構超3000家。通過旗下HDmall和HDcare兩大平台及自主研發的AI技術Jib AI，HD已為逾500,000名患者搭建起對接醫院、診所及醫生的便捷通道，實現醫療健康服務的普惠化與可及性。 HD的投資方包括MSD IDEA Studio Asia Pacific、SBI Ven Capital、Partech Partners、FEBE Ventures、M Venture Partners、Ratio Ventures、Orvel Ventures和TA Ventures。 有關HD的更多信息，請訪問：https://www.hd.care 關於Pacific Prime Pacific Prime創立於2000年，是一家屢獲殊榮的全球保險經紀及員工福利服務機構，專注提供個人及企業保險解決方案。公司目前管理保費規模達10億美元，自2021年收購CXA Group旗下保險經紀業務後，已躋身亞太地區第三大員工福利保險經紀公司。Pacific Prime在全球設有15個分支機構，員工超1000人，業務覆蓋中國香港、新加坡、中國大陸、泰國、馬來西亞、阿聯酋、印尼、英國、美國、墨西哥、菲律賓及澳大利亞等國家和地區。 有關Pacific Prime的更多信息，請訪問：https://www.pacificprime.com/corporate
Partnerships with SkillsFuture Singapore and Equinix anchor research on AI’s impact on jobs, skills and lifelong learningSINGAPORE - Media OutReach Newswire - 21 January 2026 – Singapore Management University (SMU) today announced the launch of the Resilient Workforces Institute (ResWORK), a new university-level research institute advancing workforce resilience and lifelong learning amid accelerating technological change. It is among the first institutes in Singapore and the region to jointly study adult-learning and the future of work through an integrated, interdisciplinary lens spanning economics, management, behavioural science and technology. Launch of SMU Resilient Workforces Institute [right to left: Professor Alan Chan, SMU Provost, Guest-of-Honour Dr Janil Puthucheary, Senior Minister of State, Ministry of Education & Ministry of Sustainability and the Environment, Mr Tan Kok Yam, Chief Executive, SkillsFuture Singapore, Professor Lily Kong, SMU President, and Professor Archan Misra, Vice Provost (Research); Interim Director of SMU Resilient Workforces Institute] Dr Janil Puthucheary, Senior Minister of State, Ministry of Education and Ministry of Sustainability and the Environment, graced the launch as Guest-of-Honour. In his remarks, Dr Janil highlighted the importance of partnerships with industry, enabled by research, in overcoming workforce disruptions brought about by artificial intelligence (AI) and digital technologies. Professor Lily Kong, President, Singapore Management University, said: "The launch of the Resilient Workforces Institute reflects SMU's commitment to research that matters – research that shapes public policy, informs organisational practice and ultimately strengthens the resilience of Singapore's workforce. By bringing together insights across disciplines, ResWORK will help Singapore and the region navigate the profound changes reshaping work and learning in the age of AI." ResWORK will serve as a focal point for trans-disciplinary research across SMU, organised around three core pillars: Optimising Human-Machine Collaboration: enabling workers to learn and perform effectively alongside AI, machines and robotics Transforming Organisations: redesigning business processes, leadership and work practices for AI-enabled workplaces Maximising Societal Human Capital: analysing labour-market transitions and shaping policies that promote inclusive, gainful employment Research momentum has already begun ahead of the formal launch, with ResWORK having secured the participation of several globally renowned visiting scholars and over 20 faculty members across SMU's six schools. ResWORK faculty has recently initiated nine internally seed-funded research projects, as well as multiple externally funded research programs, collectively worth over S$1.5 million in funding. These early projects reflect the Institute's emphasis on applied, policy-relevant research developed in collaboration with public agencies and industry partners. (Note: See Annex A for a list of research projects that were awarded seed grants.) SMU has committed S$5 million over five years to anchor the Institute, with a goal of securing an additional S$8 million in external research funding within three years, enabling ResWORK to scale its partnerships and research programmes over time. Professor Archan Misra, Vice Provost (Research) and Interim Director of ResWORK, said: "ResWORK is built on the belief that AI-led change will reshape opportunity rather than displace it. Our research agenda is designed to move beyond diagnosis to solutioning—working with government agencies, employers and other partners to generate evidence that informs policy, organisational practice and lifelong learning systems. I'm enthused to see how colleagues across the spectrum of Management, Economics and Computing disciplines have already come together to collectively frame a positive research agenda that formulates AI-led workplace transformations as an economic opportunity, as well as a driver of innovations in adult learning practices. The launch builds on momentum that is already underway and marks the start of SMU's sustained efforts to help shape a resilient, future-ready workforce." Anchoring National Workforce Priorities through Collaboration with SkillsFuture Singapore At the launch, SMU and SkillsFuture Singapore (SSG) also signed a two-year Memorandum of Understanding (MoU) to mutually identify and drive strategic research on how Artificial Intelligence (AI), digital technologies, and generational changes in work preferences are transforming job tasks, skills demand and career and learning pathways, and translate these insights into policies that sustain employability and inclusive growth. In addition, it will look into how adult learning systems can be redesigned for higher participation, retention and impact, and how organisations can combine human and machine capabilities to raise productivity while preserving meaningful work. Mr Tan Kok Yam, Chief Executive of SkillsFuture Singapore said: "Our partnership with SMU on ResWORK is driven by a singular objective: to future-proof the national SkillsFuture system. By future-proofing, we mean that adult learning must adapt to the effects of emerging, rapidly changing technologies to workforce dynamics, so that the training received by learners best equips them for these changes. The system also must acquire a deep understanding of what employers want from their workers, where and how jobs have changed in nature, and what skills and attributes allow workers to best succeed. ResWORK seeks to help build such capabilities for our national adult training system." Industry Partnerships Driving Applied Research on AI Disruption and Workforce Resilience Complementing the national collaboration with SSG, ResWORK will work with industry partners to translate research into practice. SMU received a contribution of S$450,000 from Equinix to advance applied research under ResWORK. The contribution will support a flagship systemic research project on occupational exposure to AI within Singapore's labour market. Led by Professor Li Jia, Dean, School of Economics; Lee Kong Chian Professor of Economics; (courtesy appointment in the Lee Kong Chian School of Business) Econometrics Lead, SMU Urban Institute, the study will develop Singapore's leading reproducible, transparent and publicly accessible index measuring AI exposure in new job vacancies across occupations, industries and worker segments. By analysing job advertisements and task requirements over time, the research will track how AI-related skills and task demands are evolving, and generate insights to inform workforce planning, reskilling programmes and employment policy. This collaboration marks the first corporate-funded research initiative under ResWORK and reflects the Institute's emphasis on data-driven, policy-relevant research with real-world impact. Said Ms Leong Yee May, Managing Director, Equinix Singapore, "Equinix and SMU have enjoyed a long and collaborative partnership aimed at building a sustainable digital future. By partnering with SMU on its Resilient Workforce initiative, we're investing in research that will help position Singapore as a regional leader on AI and the future of work, informing the design of targeted policies like reskilling programs." ### Annex A: ResWORK Seed-Funded Research Projects Ahead of its formal launch, the Resilient Workforces Institute (ResWORK) has initiated nine seed-funded research projects, reflecting early momentum and active collaboration across SMU's schools. These projects are organised around ResWORK's three core pillars and focus on applied, policy-relevant research in partnership with public and private organisations. Pillar 1: Optimising Human-Machine Collaboration Research on technologies and tools (AR/VR, AI) that enable individuals to both learn and execute future tasks in collaboration with AI, machines and robots. 1. Artificial Intelligence in Higher Education: Evaluating AI Outputs and Metacognition of Law Students Theme: Technologies for Augmenting Adult Learning Principal Investigator: Gary CHAN Kok Yew, Full-time Faculty, Professor of Law, Yong Pung How School of Law Why this matters: As AI tools enter education and professional training, this project examines how law students learn to critically evaluate AI outputs and reflect on them as part of their training to be legal professionals in the near future. About the Project: This project examines how law students assess AI-generated legal reasoning, focusing on metacognitive awareness, reflective judgment, and responsible AI use. Using tort law as a testbed, it studies how learners adopt, revise or reject AI outputs, and identifies best practices for evaluating accuracy, clarity and reasoning quality. The findings will inform ethical AI integration in education and professional training. Research Impact: Supporting and enhancing law students' critical evaluation of and reflective judgement on AI outputs 2. Unfolding Motivation in Adult Learning with Generative AI Theme: Technologies for Augmenting Adult Learning Principal Investigator: NGO Chong Wah, Full-time Faculty, Lee Kong Chian Professor of Computer Science, Director, Human-Machine Collaborative Systems Cluster, ResWORK Fellow, School of Computing and Information Systems Co-PI: Gary Pan @ SOA; Clarence Goh @ SOA; Venky Shankararaman @ SCIS; Dragan Gasevic @ Monash University Why this matters: Mid-career workers are expected to reskill continuously, yet motivation and engagement remain major barriers to lifelong learning. About the Project: This project investigates how generative AI can personalise adult learning to sustain motivation among mid-career learners balancing work, study and life demands. It develops a GenAI-powered learning system that provides conversational, self-regulated learning support through interaction with large language models. By analysing learning behaviour, dialogue patterns and behavioural signals, the research identifies how AI-driven scaffolding can improve engagement and learning persistence in adult education. Research Impact: This project aims to uncover motivational processes in adult learning to inform the design of AI learning systems. 3. Building Reflection Competencies for Human-AI Collaboration: A Multi-Agent Training System Theme: Changing Professional Practices in the Workplace Principal Investigator: NAH, Fiona Fui-Hoon, Full-time Faculty, Professor of Information Systems, ResWORK Fellow, School of Computing and Information Systems Collaborators: Jiaqi WU YOUNG, PhD student @ SCIS; Ming WANG, Visiting PG Research student @ SCIS Why this matters: Organisations often adopt AI faster than workers develop the skills to critically evaluate it, leading to over reliance or under reliance, declining judgment and missed productivity gains. About the Project: This project addresses the problem of "cognitive debt" in AI-enabled workplaces by developing a multi-agent reflection training system embedded in AI tools. Drawing on motivation and behavioural theories, it designs and tests interventions that encourage users to reflect on, scrutinise and evaluate AI outputs. The research aims to provide scalable training approaches that balance AI adoption with human judgment and oversight. Research Impact: Overcoming AI users' cognitive debt through reflection training for a resilient workforce 4. Adaptive Skill Transfer: Reinforcement-Learned Scaffolding for Cognitive Personalisation in Adult Learning Theme: Adult Learning Transfer Principal Investigator: Pradeep Reddy VARAKANTHAM, Full-time Faculty, Professor of Computer Science, Director, CARE.AI Lab, Coordinator, BSc (CS) Artificial Intelligence Track, School of Computing and Information Systems Co-PI: Annabel Chen Shen-Hsing, NTU Collaborator: Swapna Gottipati @ SCIS, SMU Why this matters: Reskilling often fails because learning systems ignore the cognitive strengths adults already possess. About the Project: This research explores how adaptive AI systems can accelerate adult learning by leveraging existing reasoning and problem-solving abilities. Implemented within an adaptive learning platform, the project uses cognitive assessment and reinforcement learning to personalise both content and thinking strategies. By making skill transfer explicit and efficient, the study aims to improve learning speed, retention and reskilling outcomes. Research Impact: Transforming adult reskilling from simple content delivery into a personalised, AI-driven bridge that leverages existing reasoning strengths to accelerate the mastery of complex skills 5. The Effects of AI-Based Cognitive Offloading on Metacognitive Skills and Learning Transfer in Adult Professional Learners Theme: Adult Learning Transfer Principal Investigator: YANG Hwajin, Full-time Faculty, Professor of Psychology, Associate Dean (Research), Lee Kong Chian Fellow, ResWORK Fellow, School of Social Sciences Co-PI: Sarah Wong @ SOSS; Gary Pan @ SOA; Andree Hartanto @ SOSS Collaborator: Wong Zi Yang, Research Fellow, SMU Why this matters: While AI can make work easier, excessive reliance on it may weaken learning, judgment, and long-term skill development. About the Project: This project examines how using AI tools affects adult learners' metacognitive awareness (monitoring and regulating one's learning) and learning transfer (applying knowledge to new situations) in professional development. Using a randomised controlled design, the study compares guided and unguided AI use to determine whether guided AI use enhances these cognitive skills or if unguided use undermines them through excessive cognitive offloading. Research Impact: The findings will inform the development of AI-enabled training frameworks that promote durable learning, reflective thinking, and transferable skills among working adults. 6. Towards Measurable, Governed Onboarding for Human–AI Teams Theme: Open Category Principal Investigator: LEE, Min Hun, Full-time Faculty, Assistant Professor of Computer Science, School of Computing and Information Systems Why this matters: AI adoption often fails not because of model accuracy, but because of people and workflow – users do not know when to trust, question or correct AI systems. About the Project: This project transforms AI onboarding into an interactive, measurable learning experience that teaches users how to collaborate effectively with AI. Using a structured "Understand-Control-Improve" framework, it develops tools that promote calibrated trust, explainability, and safe intervention. The research aims to establish robust methods for governed human-AI collaboration in real-world decision-making workflows. Research Impact: This project develops measurable, governed methods for human-AI collaboration that enable safe and effective AI adoption in real-world decision-making workflows. PILLAR #2: TRANSFORMING ORGANISATIONS 7. Valuing Flexible Work Arrangements: A Discrete Choice Experiment with Employers and Employees in Singapore Theme: Changing Professional Practices in the Workplace Pillar: #2 / #3 Principal Investigator: KIM Seonghoon, Full-time Faculty, Associate Professor of Economics, Deputy Director, Centre for Research on Successful Ageing (ROSA), School of Economics Co-PI: Cao Wenjia @ SOE, SMU Collaborator: Kanghyock Koh, Korea University Why this matters: Flexible work is now a national priority, yet evidence on its true value to employers and employees remains limited. About the Project: This study quantifies how employers and employees value flexible work arrangements using large-scale discrete choice experiments. By estimating wage-equivalent trade-offs for different forms of flexibility, it provides evidence to inform organisational decisions and policy implementation following Singapore's Tripartite Guidelines on Flexible Work Arrangement Requests. The research supports more sustainable, inclusive and productive workplace design. 8. Job insecurity and employee motivation Theme: Changing Professional Practices in the Workplace Principal Investigator: Nina SIROLA, Full-time Faculty, Assistant Professor of Organisational Behaviour & Human Resources, ResWORK Fellow, Lee Kong Chian School of Business Why this matters: Rising job insecurity can quietly erode motivation and performance, even in organisations investing heavily in transformation. About the Project: This project examines how managers' beliefs about job-insecure employees influence leadership behaviour and intrinsic motivation. Rather than focusing only on worker stress, it identifies manager-driven mechanisms that can either undermine or sustain motivation. Through experimental and field studies, the research develops low-cost leadership interventions to support employee engagement and well-being during periods of uncertainty. Research Impact: This project highlights how managers' beliefs and leadership behaviours can either undermine or sustain the intrinsic motivation of job-insecure workers, pointing to a low-cost, belief-based lever for resilience. PILLAR #3: MAXIMISING SOCIETAL HUMAN CAPITAL 9. Measuring the Impact of AI and Large Language Models on Singapore's Labour Market: Constructing a Task-Level Exposure Index Theme: Open Category Principal Investigator: LI Jia, Full-time Faculty, Dean, School of Economics, Lee Kong Chian, Professor of Economics, Econometrics Lead, SMU Urban Institute (courtesy appointment in the Lee Kong Chian School of Business) Collaborator: Zhang Dandan, Peking University Why this matters: Policymakers and employers need clear evidence on which jobs are most exposed to AI, and which are likely to benefit from it. About the Project: This project develops Singapore's first task-level AI-LLM Exposure Index by combining job posting data with detailed task information. Using novel econometric methods to address measurement uncertainty, it distinguishes between complementary and substitutive effects of AI on human labour. The resulting indices will inform workforce planning, reskilling strategies and national employment policy. Research Impact: Measuring AI's disruptive and enabling effects on Singapore's labour market Hashtag: #SMUThe issuer is solely responsible for the content of this announcement.About SMUA premier university in Asia, SMU is internationally recognised for its world-class research and distinguished teaching. Established in 2000, SMU's mission is to generate leading-edge research with global impact and to produce broad-based, creative, and entrepreneurial leaders for the knowledge-based economy. SMU's education is known for its highly interactive, collaborative, and project-based approach to learning. Home to over 13,000 students across undergraduate, postgraduate professional and postgraduate research programmes, SMU comprises of eight schools: School of Accountancy, Lee Kong Chian School of Business, School of Economics, School of Computing and Information Systems, Yong Pung How School of Law, School of Social Sciences, College of Integrative Studies, and College of Graduate Research Studies. SMU offers a wide range of bachelors', masters', and PhD degree programmes in the disciplinary areas associated with its schools, as well as in multidisciplinary combinations of these areas. SMU emphasises rigorous, high-impact, multi- and interdisciplinary research that addresses Asian issues of global relevance. SMU faculty members collaborate with leading international researchers and universities around the world, as well as with partners in the business community and public sector. SMU's city campus is a modern facility located in the heart of downtown Singapore, fostering strategic linkages with business, government, and the wider community. www.smu.edu.sg
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![Launch of SMU Resilient Workforces Institute [right to left: Professor Alan Chan, SMU Provost, Guest-of-Honour Dr Janil Puthucheary, Senior Minister of State, Ministry of Education & Ministry of Sustainability and the Environment, Mr Tan Kok Yam, Chief Executive, SkillsFuture Singapore, Professor Lily Kong, SMU President, and Professor Archan Misra, Vice Provost (Research); Interim Director of SMU Resilient Workforces Institute]](/images/user_uploaded/193221_78e50dc6504e4bd8a49b2a500f5c66d4-800x600.jpeg "Launch of SMU Resilient Workforces Institute [right to left: Professor Alan Chan, SMU Provost, Guest-of-Honour Dr Janil Puthucheary, Senior Minister of State, Ministry of Education & Ministry of Sustainability and the Environment, Mr Tan Kok Yam, Chief Executive, SkillsFuture Singapore, Professor Lily Kong, SMU President, and Professor Archan Misra, Vice Provost (Research); Interim Director of SMU Resilient Workforces Institute]")
