MDDI 演讲稿 · 2025-08-29
杨莉明部长在新加坡电脑学会 Tech3「科技霸权拉锯战」论坛上的致辞
Address by Minister Josephine Teo at Singapore Computer Society (SCS)'s Tech3 "Tug of War for Tech Supremacy"
要点
- • 对话已从「准备」转向「激活与加速」。新加坡 40+ AI CoE；Jobs Transformation Maps（JTM）已更新；3/4 员工已经在工作中常态化使用 AI 工具，其中 85% 觉得它让自己更高效、质量更好。
- • 三个社区：AI Creators（创建者，全球极少）+ AI Practitioners（实务者）+ AI Users（使用者）。AI Practitioners 几乎所有人都说——他们离不开「领域同事」的输入。
- • 「双语 AI 人才」（bilingual AI talents）：母语是领域专长（已掌握），需要学习新的「国语」——AI 这门语言。这是新加坡的真正机会窗口。
- • 三步行动计划：①IMDA 与科技供应商合作把培训捆进 AI 方案——客户买工具的同时拿到培训；②TeSA 与会计、HR 等横向职能专业协会合作，让非技术专业人士获得 AI 流利；③TeSA 也加码支持技术专业人士，与 AWS、Trainocate 联合推出「Career Launchpad」。
- • 科技劳动力 5 年增长约 25%（2019 年 17.2 万 → 2024 年 21.4 万），且非科技公司里的科技人才已超过科技公司——这意味着潜在影响更大。
- • SCS 与 IMDA、SSG 合作推出「云技能路径」（Cloud Skills Pathway）——把云岗位与 AI 雄心连起来。
完整译文（中文）
MDDI 英文原文译文 · 翻译日期：2026-05-02
新加坡电脑学会（SCS）会长林美君女士，
各位同事与朋友：
早安。
感谢邀请我出席今年的 Tech3 论坛。我很高兴回到这里。
在最近的「国庆群众大会」上——黄循财总理分享道，我们正在进入一个新时代——一个深受 AI 发展塑造的时代。今天 AI 已被广泛触达——它在稳步改变我们如何生活、工作、彼此互动。
这给我们的企业与员工创造了新的机会。
但它也提出了新的问题——企业如何用 AI 来适应新的商业环境？我们的工作会随 AI 怎样变化？我们的劳动力如何保持相关？
早在 2023 年 12 月我们启动更新版《国家 AI 战略》之前——我们就在为「AI 准备就绪的国家」逐步打基础。这包括思考伦理与治理等议题；同时——我们也努力在政府、产业、劳动力中构建能力。
在去年的「拨款总目」（COS）辩论与 Tech3 论坛上——我谈到我们要建设三个社区：
第一是「AI 创建者」（AI Creators）——他们在为技术与创新拓展边界。世界上这样的人并不多；
第二是「AI 实务者」（AI Practitioners）——他们在业务与社会中开发并部署方案；
非常重要的——还有一群被称为「AI 使用者」（AI Users）的人——他们存在于每一种角色与职能中——具备使用 AI 加持的产品与服务以提升生产力、争取更好工作的能力。
围绕 AI 与劳动力的对话已经在前进——它已不再只是「准备」，而是「激活」（activation）与「加速」（acceleration）。我来更新一下我们「装备劳动力迎接 AI 时代」的计划。
我们如今在生态中已经有 40 多个 AI 卓越中心。我一直在走访这些中心——对它们在各自组织里的影响有比较好的把握。这些团队在创新、在开发与自家业务用例相关、可应用的 AI 方案。
我们已经在构建一支强大的 AI 实务者管线、并帮助各行业员工提升 AI 认知方面取得了进展。
2024 年——我们扩大了 AI 实务者池——他们包括数据科学家与机器学习工程师——是让 AI 模型在具体场景中跑起来不可或缺的角色。
面向更广泛的劳动力——我们更新了《工作转型地图》（Jobs Transformation Maps, JTM）——帮助员工更好地理解 AI 对具体岗位的影响、以及如何适应。我们也刷新了 SkillsFuture 项目——纳入最新的生成式 AI 工具内容。
在这些努力之下——我们看到员工们的回应是积极的，这令人鼓舞。
IMDA 即将发布 2025 版《新加坡数字经济报告》（SGDE）——其中显示——4 个被调研员工里有 3 个已经常态化地在工作中使用 AI 工具。
其中 85% 表示 AI 让他们更高效、并改进了工作质量。
若把标尺定得更高——我们要承认在现阶段——大多数受访者的 AI 使用仍处于「探索」阶段。
更深、更有影响力的使用——不只来自练习，更来自合适的技能培训与在工作场所应用所学的机会。
好消息是——在已使用 AI 的受访公司中——超过 2/3 计划把员工培训与升级作为优先事项。所以整体画面是——员工乐于使用 AI、雇主也有意愿提升员工培训。
我们希望更多公司加入——并把自己的人带上这条路。我相信我们已经识别出一个非常显著的「机会窗口」。
在我走访的几乎所有 AI CoE 里——AI 实务者（特别是数据科学家）告诉我——他们绝对需要、并且非常重视「其他部门与职能的同事」的输入。
比如制造业——流程工程师懂详细工作流；技术员懂何时与如何维护。没有他们的领域知识与职能专长——AI 实务者很难产生有意义的业务改进。
同样——在我走访的另一个 AI CoE——普华永道（PwC）——AI 团队与税务代理人、会计师紧密合作，理解报税流程的关键痛点——开发出一款工具，把税务团队的整体效率与准确性提升起来。
另一个例子是雷蛇（Razer）——一家专注游戏产品与服务的新加坡公司。游戏开发的关键流程之一是「质量保证」——往往非常耗时——QA 测试员要把游戏跑很多遍，识别并修复 bug。雷蛇开发了一款 AI 工具支持 QA——做缺陷检测与自动化缺陷报告。我和他们其中一位软件工程师聊过——他说这款工具能把他通常花在 QA 上的时间砍半，让他聚焦创新与增强游戏设计。
这些例子表明——我们越来越需要「双语 AI 人才」。
他们的「母语」是领域或职能专长——已经掌握的语言。
在帮助下——他们能学一门新的「国语」——AI 这门语言——并变得流利。也就是获得 AI 相关技能——让他们能与 AI 实务者合作，改造工作、改善结果。
我们相信——这些「双语 AI 人才」会被高度看重——构建他们是新加坡的一次真实机会。他们将是「有意义的 AI 采用」的开路者与节奏带头者。
我们培育「AI 流利度」的行动计划，有几个组成部分。
第一——我们会帮助广义企业（包括 SME）采用 AI 加持的方案，并在公司内部培养更多双语 AI 人才。
IMDA 将与科技供应商合作——把培训「捆」进他们提供的 AI 方案套件里。
也就是说——采用 AI 方案的公司不只拿到 AI 工具——他们还会拿到培训支持，确保员工有技能与知识充分发挥工具效用。
政府也会寻找与行业协会等伙伴合作的机会——通过工作坊与展示共同推广 AI 认知，并开发与他们具体需求相关的 AI 方案。
第二——我们会通过 TeSA 旗舰项目——帮助非技术专业人士获得 AI 流利。
这意味着——与会计、人力资源等横向职能的专业协会合作——识别每个职能里能借助 AI 优化的核心活动。
我们也要以「成长心态」做这件事。我们要的结果，是让这些专业人士的价值「成长」——而不是「贬损」他们的贡献。这意味着主动寻找他们借助 AI 能提供的「新服务」。
比如——传统上，金融取证的专业人士的角色，是在事情发生之后调查；但他们可以学着用 AI 解决更复杂的案件，帮助客户预防欺诈。甚至有人提出——具备数字取证知识的人，可以把技能迁移转向新的角色——比如「道德黑客」（Ethical Hacking）！
第三——我们相信科技劳动力依然重要——并且也将受益于变得更「AI 流利」。
随着数字化的推进——我们的科技劳动力规模相当扩张——从 2019 年约 17.2 万人，到 2024 年约 21.4 万人——5 年增长 25%。
一个值得注意的发展是——「非科技」公司里的科技人才已经多于「科技」公司里的。
无论他们在哪里工作——科技专业人士都有产生更大影响的潜力。我们应当帮他们加深核心工程能力、保持相关；也应该把他们提升为「全栈」开发者——以及借助 AI 智能体编排复杂系统与工作流的「编排者」。
因此——IMDA 也将通过 TeSA 加码支持技术专业人士——比如与 AWS、Trainocate 联合推出的「Career Launchpad」计划。
我已经勾勒了我们 AI 技能发展的部分计划——这些会同时惠及员工与雇主。
除了培育 AI 实务者与双语 AI 人才——我们也在与 SkillsFuture Singapore、Workforce Singapore 的同事合作——帮助更多人先达到「AI 识字」（AI-literate）水平、再升级到「AI 流利」（AI-fluent）。
但是——训练并提升广义底盘是一项生态级努力——政府无法独自完成。SCS 这样的伙伴——在为新加坡人构建路径上不可或缺。
因此我很高兴——SCS 与 IMDA、SSG 合作推出「云技能路径」（Cloud Skills Pathway）。
云基础设施支撑我们的数字经济、为 AI 技术供能——这条路径让培训与产业需求对齐。
它也为学习者提供进入「云岗位」的清晰路径——这些岗位支撑我们的 AI 雄心。
最后——但绝不是最不重要的——我想致敬那些彼此支持、相互拉拔的社群——比如「新加坡科技女性」（Singapore Women in Tech）社群。
美君分享说——我们如今进入「Singapore 100 Women in Tech」第 4 届——「Girls in Tech」类别迎来 110 项提名——是该类别 2021 年启动以来最高的一次。
我点几位今天的获奖人：
Ng Pei Fern——超威半导体（AMD）的高级经理，同时担任「新加坡女工程师协会」（Society of Women Engineers Singapore）会长——并通过启动青年导师计划「把这份关爱传递下去」。
Eve Ang——一位新加坡圣若瑟书院的学生——正在开发用于癌症检测的伦理 AI——灵感来自母亲与乳腺癌的抗争——并致力于让这种技术触达每一个人。
做得好，Pei Fern 与 Eve！也祝贺今年所有新晋获奖人！
结尾
结束之前——我感谢 SCS 与科技社群——为我们的数字未来打下了坚实基础。因为各位的努力——我们如今真的有机会让员工、企业与社区在 AI 中蓬勃。
政府期待与各位、与所有伙伴一起——把握这些机会。
感谢大家——也祝大家在论坛上有富有成效的时光。
英文原文
MDDI 官网原始记录 · 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.