MDDI 演講稿 · 2025-08-29
楊莉明部長在新加坡電腦學會 Tech3「科技霸權拉鋸戰」論壇上的致辭
要點
- • 對話已從「準備」轉向「啟用與加速」。新加坡 40+ AI CoE；Jobs Transformation Maps（JTM）已更新；3/4 員工已經在工作中常態化使用 AI 工具，其中 85% 覺得它讓自己更高效、質量更好。
- • 三個社群：AI Creators（建立者，全球極少）+ AI Practitioners（實務者）+ AI Users（使用者）。AI Practitioners 幾乎所有人都說——他們離不開「領域同事」的輸入。
- • 「雙語 AI 人才」（bilingual AI talents）：母語是領域專長（已掌握），需要學習新的「國語」——AI 這門語言。這是新加坡的真正機會視窗。
- • 三步行動計劃：①IMDA 與科技供應商合作把培訓捆進 AI 方案——客戶買工具的同時拿到培訓；②TeSA 與會計、HR 等橫向職能專業協會合作，讓非技術專業人士獲得 AI 流利；③TeSA 也加碼支援技術專業人士，與 AWS、Trainocate 聯合推出「Career Launchpad」。
- • 科技勞動力 5 年增長約 25%（2019 年 17.2 萬 → 2024 年 21.4 萬），且非科技公司裡的科技人才已超過科技公司——這意味著潛在影響更大。
- • SCS 與 IMDA、SSG 合作推出「雲技能路徑」（Cloud Skills Pathway）——把雲崗位與 AI 雄心連起來。
完整譯文（繁體中文）
MDDI 英文原文譯文 · 翻譯日期: 2026-05-02
新加坡電腦學會（SCS）會長林美君女士，
各位同事與朋友：
早安。
感謝邀請我出席今年的 Tech3 論壇。我很高興回到這裡。
在最近的「國慶群眾大會」上——黃循財總理分享道，我們正在進入一個新時代——一個深受 AI 發展塑造的時代。今天 AI 已被廣泛觸達——它在穩步改變我們如何生活、工作、彼此互動。
這給我們的企業與員工創造了新的機會。
但它也提出了新的問題——企業如何用 AI 來適應新的商業環境？我們的工作會隨 AI 怎樣變化？我們的勞動力如何保持相關？
早在 2023 年 12 月我們啟動更新版《國家 AI 戰略》之前——我們就在為「AI 準備就緒的國家」逐步打基礎。這包括思考倫理與治理等議題；同時——我們也努力在政府、產業、勞動力中構建能力。
在去年的「撥款總目」（COS）辯論與 Tech3 論壇上——我談到我們要建設三個社群：
第一是「AI 建立者」（AI Creators）——他們在為技術與創新拓展邊界。世界上這樣的人並不多；
第二是「AI 實務者」（AI Practitioners）——他們在業務與社會中開發並部署方案；
非常重要的——還有一群被稱為「AI 使用者」（AI Users）的人——他們存在於每一種角色與職能中——具備使用 AI 加持的產品與服務以提升生產力、爭取更好工作的能力。
圍繞 AI 與勞動力的對話已經在前進——它已不再只是「準備」，而是「啟用」（activation）與「加速」（acceleration）。我來更新一下我們「裝備勞動力迎接 AI 時代」的計劃。
我們如今在生態中已經有 40 多個 AI 卓越中心。我一直在走訪這些中心——對它們在各自組織里的影響有比較好的把握。這些團隊在創新、在開發與自家業務用例相關、可應用的 AI 方案。
我們已經在構建一支強大的 AI 實務者管線、並幫助各行業員工提升 AI 認知方面取得了進展。
2024 年——我們擴大了 AI 實務者池——他們包括資料科學家與機器學習工程師——是讓 AI 模型在具體場景中跑起來不可或缺的角色。
面向更廣泛的勞動力——我們更新了《工作轉型地圖》（Jobs Transformation Maps, JTM）——幫助員工更好地理解 AI 對具體崗位的影響、以及如何適應。我們也重新整理了 SkillsFuture 專案——納入最新的生成式 AI 工具內容。
在這些努力之下——我們看到員工們的回應是積極的，這令人鼓舞。
IMDA 即將釋出 2025 版《新加坡數字經濟報告》（SGDE）——其中顯示——4 個被調研員工裡有 3 個已經常態化地在工作中使用 AI 工具。
其中 85% 表示 AI 讓他們更高效、並改進了工作質量。
若把標尺定得更高——我們要承認在現階段——大多數受訪者的 AI 使用仍處於「探索」階段。
更深、更有影響力的使用——不只來自練習，更來自合適的技能培訓與在工作場所應用所學的機會。
好訊息是——在已使用 AI 的受訪公司中——超過 2/3 計劃把員工培訓與升級作為優先事項。所以整體畫面是——員工樂於使用 AI、僱主也有意願提升員工培訓。
我們希望更多公司加入——並把自己的人帶上這條路。我相信我們已經識別出一個非常顯著的「機會視窗」。
在我走訪的幾乎所有 AI CoE 裡——AI 實務者（特別是資料科學家）告訴我——他們絕對需要、並且非常重視「其他部門與職能的同事」的輸入。
比如製造業——流程工程師懂詳細工作流；技術員懂何時與如何維護。沒有他們的領域知識與職能專長——AI 實務者很難產生有意義的業務改進。
同樣——在我走訪的另一個 AI CoE——普華永道（PwC）——AI 團隊與稅務代理人、會計師緊密合作，理解報稅流程的關鍵痛點——開發出一款工具，把稅務團隊的整體效率與準確性提升起來。
另一個例子是雷蛇（Razer）——一家專注遊戲產品與服務的新加坡公司。遊戲開發的關鍵流程之一是「質量保證」——往往非常耗時——QA 測試員要把遊戲跑很多遍，識別並修復 bug。雷蛇開發了一款 AI 工具支援 QA——做缺陷檢測與自動化缺陷報告。我和他們其中一位軟體工程師聊過——他說這款工具能把他通常花在 QA 上的時間砍半，讓他聚焦創新與增強遊戲設計。
這些例子表明——我們越來越需要「雙語 AI 人才」。
他們的「母語」是領域或職能專長——已經掌握的語言。
在幫助下——他們能學一門新的「國語」——AI 這門語言——並變得流利。也就是獲得 AI 相關技能——讓他們能與 AI 實務者合作，改造工作、改善結果。
我們相信——這些「雙語 AI 人才」會被高度看重——構建他們是新加坡的一次真實機會。他們將是「有意義的 AI 採用」的開路者與節奏帶頭者。
我們培育「AI 流利度」的行動計劃，有幾個組成部分。
第一——我們會幫助廣義企業（包括 SME）採用 AI 加持的方案，並在公司內部培養更多雙語 AI 人才。
IMDA 將與科技供應商合作——把培訓「捆」進他們提供的 AI 方案套件裡。
也就是說——採用 AI 方案的公司不只拿到 AI 工具——他們還會拿到培訓支援，確保員工有技能與知識充分發揮工具效用。
政府也會尋找與行業協會等夥伴合作的機會——通過工作坊與展示共同推廣 AI 認知，並開發與他們具體需求相關的 AI 方案。
第二——我們會通過 TeSA 旗艦專案——幫助非技術專業人士獲得 AI 流利。
這意味著——與會計、人力資源等橫向職能的專業協會合作——識別每個職能裡能借助 AI 最佳化的核心活動。
我們也要以「成長心態」做這件事。我們要的結果，是讓這些專業人士的價值「成長」——而不是「貶損」他們的貢獻。這意味著主動尋找他們藉助 AI 能提供的「新服務」。
比如——傳統上，金融取證的專業人士的角色，是在事情發生之後調查；但他們可以學著用 AI 解決更復雜的案件，幫助客戶預防欺詐。甚至有人提出——具備數字取證知識的人，可以把技能遷移轉向新的角色——比如「道德駭客」（Ethical Hacking）！
第三——我們相信科技勞動力依然重要——並且也將受益於變得更「AI 流利」。
隨著數字化的推進——我們的科技勞動力規模相當擴張——從 2019 年約 17.2 萬人，到 2024 年約 21.4 萬人——5 年增長 25%。
一個值得注意的發展是——「非科技」公司裡的科技人才已經多於「科技」公司裡的。
無論他們在哪裡工作——科技專業人士都有產生更大影響的潛力。我們應當幫他們加深核心工程能力、保持相關；也應該把他們提升為「全棧」開發者——以及藉助 AI 智慧體編排複雜系統與工作流的「編排者」。
因此——IMDA 也將通過 TeSA 加碼支援技術專業人士——比如與 AWS、Trainocate 聯合推出的「Career Launchpad」計劃。
我已經勾勒了我們 AI 技能發展的部分計劃——這些會同時惠及員工與僱主。
除了培育 AI 實務者與雙語 AI 人才——我們也在與 SkillsFuture Singapore、Workforce Singapore 的同事合作——幫助更多人先達到「AI 識字」（AI-literate）水平、再升級到「AI 流利」（AI-fluent）。
但是——訓練並提升廣義底盤是一項生態級努力——政府無法獨自完成。SCS 這樣的夥伴——在為新加坡人構建路徑上不可或缺。
因此我很高興——SCS 與 IMDA、SSG 合作推出「雲技能路徑」（Cloud Skills Pathway）。
雲基礎設施支撐我們的數字經濟、為 AI 技術供能——這條路徑讓培訓與產業需求對齊。
它也為學習者提供進入「雲崗位」的清晰路徑——這些崗位支撐我們的 AI 雄心。
最後——但絕不是最不重要的——我想致敬那些彼此支援、相互拉拔的社群——比如「新加坡科技女性」（Singapore Women in Tech）社群。
美君分享說——我們如今進入「Singapore 100 Women in Tech」第 4 屆——「Girls in Tech」類別迎來 110 項提名——是該類別 2021 年啟動以來最高的一次。
我點幾位今天的獲獎人：
Ng Pei Fern——超威半導體（AMD）的高階經理，同時擔任「新加坡女工程師協會」（Society of Women Engineers Singapore）會長——並通過啟動青年導師計劃「把這份關愛傳遞下去」。
Eve Ang——一位新加坡聖若瑟書院的學生——正在開發用於癌症檢測的倫理 AI——靈感來自母親與乳腺癌的抗爭——並致力於讓這種技術觸達每一個人。
做得好，Pei Fern 與 Eve！也祝賀今年所有新晉獲獎人！
結尾
結束之前——我感謝 SCS 與科技社群——為我們的數字未來打下了堅實基礎。因為各位的努力——我們如今真的有機會讓員工、企業與社群在 AI 中蓬勃。
政府期待與各位、與所有夥伴一起——把握這些機會。
感謝大家——也祝大家在論壇上有富有成效的時光。
英文原文
MDDI 官網原始記錄 · 抓取日期: 2026-05-02
Ms Lim Bee Kwan, President, SCS,
Colleagues and friends,
Good morning.
Thank you for inviting me to this year’s Tech3 Forum. I’m happy to be back.
At the recent National Day Rally, Prime Minister Lawrence Wong shared that we are entering a new era, one that is heavily influenced by AI developments. Today, AI is widely accessible, and is steadily changing the way that we live, work and interact with one another.
This has created new opportunities for our enterprises and our workers.
But it also raises questions. How can enterprises use AI to adapt to a new business environment? How will our jobs change with AI, and how can our workforce remain relevant?
Well before we launched our refreshed National AI Strategy in December 2023, we have progressively laid the foundations for an AI-ready nation. This included thinking about issues like ethics and governance. At the same time, we sought to build capabilities within the government, industry, and workforce.
At last year’s Committee of Supply debate, and the Tech3 forum, I outlined how we need to build up three communities:
The first is AI Creators, those who are pushing the boundaries for technology and innovation. There are not that many of them in the world;
The second are AI Practitioners, who develop and deploy solutions in business and society; and
Very importantly, another big group who are referred to as AI Users. They can be found in every role and function, and are equipped to use AI-enabled products and services to increase productivity and take up better jobs.
The conversation around AI and the workforce has gained ground. It is no longer just about preparation, but about activation and acceleration. Let me provide an update on our plans to equip our workforce for the AI age.
We now have over 40 AI Centres of Excellence across our ecosystem. I have been visiting these centres and have a good sense of the impact that they’re making within their organisations. The teams involved are innovating and developing AI solutions that are relevant and applicable to their own business use cases.
We have made progress in building a strong pipeline of AI Practitioners and helping workers across various sectors become more aware about AI.
In 2024, we expanded the pool of AI Practitioners. They include data scientists and machine learning engineers who are essential to making AI models work in specific settings.
For the broader workforce, we updated the Jobs Transformation Maps, or JTMs, to help workers better understand the impact of AI on specific jobs and how they can adapt. We also refreshed our SkillsFuture programmes with content on the latest GenAI tools.
With these efforts, there are encouraging signs that our workers are receptive.
IMDA will soon be releasing the 2025 edition of the Singapore Digital Economy (SGDE) Report. It shows that 3 out of 4 workers surveyed are already using AI tools in their work regularly.
Among them, 85% said AI makes them more efficient and improves their work quality.
If we set ourselves a higher bar, it is likely at this stage that AI use is still exploratory for most of the respondents.
Deeper and more impactful use will come not just with practice, but with appropriate skills training and opportunities to apply them in the workplace.
Fortunately, in this regard, among the companies surveyed that are already using AI, more than two-thirds plan to prioritise staff training and upskilling. So, the overall picture that we have is that workers are receptive to using AI, and there is also intention among their employers to level up their workers’ training.
We want more companies to come on board and to bring their people along. And I believe we have identified a very significant opening.
In almost all of the AI COEs that I’ve visited, the AI Practitioners – the data scientists in particular – tell me they absolutely need and value the inputs of their colleagues in other departments and functions.
In manufacturing for example, the process engineers know the detailed workflows. The technicians know when and how maintenance must be carried out. Without their domain knowledge and functional expertise, the AI practitioners will be hard pressed to produce meaningful business improvements.
In the same way, at another AI Centre of Excellence that I visited, at PwC, the AI team worked closely with the tax agents and accountants to understand the key pain points of the tax filing process to develop a tool to enhance overall effectiveness and accuracy for the Tax team.
Another example is Razer, a Singapore company, that specialises in gaming products and services. A key process in game development is Quality Assurance, usually a time-consuming process where QA testers run the game multiple times to identify and fix bugs. Razer developed an AI tool to support QA testers in bug detection and automating bug reporting. One of the software engineers I spoke to shared that this tool can halve the usual time that he spends on QA, allowing him to focus on innovation and enhancing game design.
These examples show that increasingly, we need bilingual AI talents.
Their “mother tongues” are their domain or functional expertise. It is a language they have already mastered.
With help, they can learn a new “national language” – the language of AI – and become fluent in it. This means acquiring AI-related skills that will allow them to work with AI Practitioners to transform their work and improve outcomes.
We believe these bilingual AI talents will be highly valued and building them up presents a real opportunity for Singapore. They will be pathfinders and pacesetters for meaningful AI adoption everywhere.
Our action plan to nurture AI-fluency has a few components.
First, we will help the broad base of enterprises, including SMEs, adopt AI-enabled solutions and train more bilingual AI talents in their companies.
IMDA will work with tech vendors to bundle training into the packages of AI solutions they offer.
In other words, the companies adopting AI solutions will not just get the AI tools, they will get training support to ensure their employees get the skills and knowledge to make full use of these tools.
The Government will also find opportunities to collaborate with partners including our Trade Associations. We will jointly promote AI awareness through workshops and showcases and develop AI solutions that are relevant to their specific needs.
Second, we will work through our flagship TechSkills Accelerator of TeSA programmes to help non-tech professionals gain AI-fluency.
This means partnering professional bodies in horizontal functions, such as accounting and HR, to identify core activities in each function that can be optimised with the help of AI.
It is also important that we do so with a growth mindset. Our desired outcome must be to grow these professionals’ value rather than to diminish their contributions. This means actively seeking out new services they can provide with the help of AI.
For example, the traditional role of professionals in Financial Forensics is to investigate after something bad has happened. But they can learn to use AI to solve more complex cases and help clients prevent fraud. It has even been suggested that those with knowledge of digital forensics can transfer their skills and pivot to new job roles, like “Ethical Hacking”!
Third, we believe the tech workforce remains important and will also benefit from becoming more fluent in AI.
Along with increased digitalisation, our tech workforce has expanded considerably from around 172,000 in 2019 to around 214,000 in 2024, a 25% growth over five years.
A noteworthy development is how there are now more tech talents in “non-tech” firms than there are in “tech” firms.
Wherever they work, tech professionals have the potential to make a bigger impact. We should help them deepen their core engineering skills and stay relevant. We can also raise them to be “full stack” developers and orchestrators of complex systems and workflows using AI agents.
IMDA will therefore also ramp-up support for tech professionals through TeSA, such as the new partnership with AWS and Trainocate on the Career Launchpad programme.
I have sketched out some of our plans to in AI skills development that will benefit our workforce as well their employers.
Besides nurturing AI Practitioners and bilingual AI talents, we are also working with colleagues in SkillsFuture Singapore and Workforce Singapore to help more people become AI-literate, before they advance to becoming AI-fluent.
However, training and uplifting the broad base is an ecosystem-wide effort and the Government cannot do it alone. Partners, such as SCS, are essential in creating pathways for equipping Singaporeans.
I am therefore pleased that SCS is launching the Cloud Skills Pathway in partnership with IMDA and SSG.
As cloud infrastructure underpins our digital economy and powers AI technologies, this pathway aligns training with industry demand.
It also provides learners a clear path into cloud roles that support our AI ambitions.
Last but certainly not least, I’d like to acknowledge the communities that support and uplift each other, such as the Singapore Women in Tech community.
Bee Kwan shared that we are now at our 4 th edition of Singapore 100 Women in Tech, with a record number of 110 nominations for the Girls in Tech category – the highest since the category’s launch in 2021.
Let me highlight some honourees today:
Ng Pei Fern, a senior manager at AMD, is concurrently the President of the Society of Women Engineers Singapore and has paid it forward by launching youth mentorship programmes.
Eve Ang, an SJI student, is developing ethical AI for cancer detection, inspired by her mother’s battle with breast cancer, and motivated to make such technology accessible to all.
Well done, Pei Fern and Eve! And congratulations to all new honourees this year!
Conclusion
In conclusion, I thank SCS and the tech community for having laid firm foundations for our digital future. Because of your efforts, we now have a real chance of enabling workers, enterprises and communities to thrive with AI.
The Government looks forward to working with you and all our partners to make the most of the opportunities.
I thank you and wish you all a fruitful time at the forum.