MDDI 演讲稿 · 2026-05-06
MOS Jasmin Lau 就「人工智能转型不容无就业式增长」国会动议的发言
MOS Jasmin Lau 就「人工智能转型不容无就业式增长」国会动议的发言
要点
- • 在新加坡受益于 AI 增长的公司必须通过职位设计、培训和收益分享为员工实现公平成果。
- • 政府将通过职位安置和重新技能培训帮助面临失业风险的员工过渡到需求稳定且 AI 替代风险较低的部门。
- • AI 素养正被整合到理工学院、工业与商业技能学院、小学和中学的课程中,确保所有学生不论经济背景如何都能建立使用 AI 工具的信心。
- • 从 2026 年下半年起,高等教育机构将向校友以大幅折扣提供精选 AI 相关课程,为期一年。
- • 完成精选 AI 培训课程的新加坡人将获得六个月的高级 AI 工具免费访问权。
- • 公司必须重新设计职位以使员工能够利用判断力和背景与 AI 协作,并在裁员前优先考虑重新部署和重新培训现有员工。
完整译文(中文)
MDDI 英文原文译文 · 翻译日期: 2026-06-09
新闻室演讲 MOS Jasmin Lau关于国会动议「无失业增长的人工智能过渡」的演讲 演讲 MOS Jasmin Lau关于国会动议「无失业增长的人工智能过渡」的演讲 2026年5月6日
副议长先生,我今天认真听取了议员们的意见。
整个议院都对人工智能对我们工人意味着什么有真诚的关切。这些关切是真实的,政府也分享这些关切。
我们无法放缓人工智能的发展。但我们不会将其结果留给机遇。
我们将努力为在新加坡繁荣发展的公司和使这种繁荣成为可能的工人之间争取一个不同的协议。
在公司在新加坡运营和增长中获益的地方,我们将期望工人获得公平待遇。不仅仅是言辞,而是在工作如何设计、人员如何培训以及收益如何分配上。
在公共资源和政策被用于支持商业转型的地方,我们期望公司为工人提供明确和有意义的成果。
在我与MDDI和MOE的工作对话和交流中,以及通过经济战略审查,同样的关切一再出现。
我的工作五年后还会存在吗?
人工智能会加剧不平等,让弱势群体被遗留吗?
如果人工智能使公司提高生产力,工人是否会分享收益?
这些不是不合理的恐惧。它们来自那些勤奋工作、长期积累技能和经验、现在感到脚下的地面在移动的人。
我将逐个回答这些问题。
首先,关于今天的工作是否会继续存在。
让我坦诚相待。有些职位将发生实质性的变化,主要围绕重复相同步骤而建立的职位最容易受到影响。
现在,这不是对做这项工作的人的价值的判决。这也是对我们政府和雇主的信号,我们需要现在行动,而不是等待破坏到来之后。我们将采取行动。
但人工智能不仅仅是替代工作的技术进步。与此同时,它正在开启全新的工作方式,以及以前不存在的新型职位。
一些学者将人工智能描述为「发明发明方法的发明」。它扩大了可以解决的问题空间、可以构建的产品和可以创建的产业。
新加坡的一个小型生物技术团队可以进行实验,这些实验十年前需要一个国家实验室才能进行。
一个独立创始人可以交付需要一个百人公司三年前才能交付的软件。
因此竞争加剧,但前沿也向外扩展。
这就是为什么由SPS Goh Hanyan和我共同主席的经济战略审查(ESR)委员会,专注于确定新加坡可以使用人工智能来建立真正竞争优势的新领域。总理的国家人工智能委员会将推动这一工作。
议员们指出了人工智能对PME的影响——专业人士、经理人和执行官,因为人工智能会自动化日常和分析任务。
ESR团队认识到这一点,这就是为什么帮助企业和工人主动应对过渡成为由MOS Goh Pei Ming和MOS Desmond Choo主席的委员会的重点。
对于失业工人,委员会研究了政府、雇主和工会如何能够提供更及时的帮助。如我们中期更新中所述,ESR正在研究鼓励更早发出裁员通知的方式,这是Ng Chee Meng先生提出的。
关于PME,委员会认识到他们可能面临更大的工作不确定性,将建议提供更有针对性的支持。这包括考虑对求职者支持计划进行增强,如Patrick Tay先生所建议,以及利用私营部门的专业知识来加强对该群体的安置支持。
对于面临失业风险的工人,ESR将建议实际方式来帮助他们转向需求更强的更有韧性的职位。
我们将确定具有持续劳动力需求和较低人工智能失业风险的部门,我们将与这些部门的工会和雇主合作,为做出过渡的工人创建明确、受支持的入口。
我们必须使这些路径可以走通,而不仅仅是可见。
为了说明,一个在日常行政职位中处于职业中期的工人,例如从事数据输入或客户服务工作的人,可能担心人工智能会取代他。通过工作便利和技能重塑支持,这名工人应该能够进入一个具有与其现有技能相关工作岗位的部门。例如,这名工人可以探索医疗保健行政方面的相邻职位。这是我们看到强劲需求的地方,因为考虑到我们人口医疗保健需求的增长,而医疗保健需要独特的人类技能,这些技能对破坏更具韧性。
这一切需要的不仅仅是课程。需要雇主、工会、培训提供者和就业安置支持密切配合,以确保工人在转型过程中不会掉队。
世界上没有任何政府对这一转型拥有全部答案,我会对声称拥有答案的任何政府保持警惕。
新加坡所能承诺的是:我们不会等待完美的解决方案才开始行动。我们现在就开始,并在过程中调整我们的努力。
其次,关于不平等。
议员们的担忧是合理的。
放大能力的技术也可能放大差距——在迅速适应的人和难以跟上的人之间。
正如 Mark Lee 先生所指出的——我们面临的一些风险是生产力收益更多流向已经领先的人,而职业阶梯底层可能面临侵蚀。
我们的回应是提高底线并扩大入口。
这意味着从更早开始——在学校中建立人工智能素养,使所有学生都能培养对人工智能的信心,而不仅仅是那些有资源获取途径的学生。
目前,每位 ITE 和理工学院学生都已经在课程中学习人工智能素养,我们现在正将人工智能素养和安全的人工智能工具引入小学和中学课堂。这意味着所有学生,无论经济背景如何,都可以安全地学习人工智能。他们也可以学习人工智能如何有益于他们的学习,例如帮助他们完善想法,他们也学到何时不应该使用人工智能。
正如 Desmond 部长今天早些时候所指出的,我们致力于支持可能缺乏强有力的家庭或父母监督和支持的学生。虽然学校的人工智能素养教育将为他们奠定良好的基础,但我们必须继续与社区和自助组织发展伙伴关系,以确保学校外的监督和支持继续进行。
学习必须超越毕业。从 2026 年下半年开始,我们所有的高等教育机构将为校友提供选定的人工智能相关课程,享有重大折扣,期限为一年。
对于已在劳动力队伍中的工人,完成选定的人工智能培训课程的新加坡人将获得六个月的高级人工智能工具的免费使用权。我们将跟踪使用情况和用户量,看看是否需要做更多的事情。
每个新加坡人,无论起点如何,都应该有机会尝试人工智能工具并提高对其的掌握。
现在第三个问题是最难的,也是最重要的。工人是否会分享收益?
我们应该明确:这不会自动发生。
单靠自己,技术可能导致非常不均匀的结果。这就是为什么这不仅仅是一个市场问题。
这是关于我们如何在经济中塑造规范和期望的问题。
因此,让我清楚地说明我们的期望。
受益于人工智能的公司应该投资于他们的员工,而不仅仅是技术。这意味着尽可能多地培训现有工人,而不仅仅是雇佣新员工。
这意味着便利员工获取前沿人工智能工具,创建实践社区,并激励学习和技能提升。
这也意味着与工人进行密切协商重新设计工作——如 Yeo Wan Ling 女士所建议的——使人们能够与人工智能一起工作,运用判断力、背景知识和经验,而不是简单地将工人视为需要减少的成本。
当职位确实发生变化或消失时,这意味着在进行裁员之前,要认真努力在组织内重新部署和提高工人的技能。
我们不仅仅是要求我们的公司进行国家服务。我们要求他们做符合自己长期利益的事情。
在人工智能时代,人类的本能和直觉将仍然是关键。我们都知道,当我们与人工智能合作时,我们需要引导它。提出正确的问题,在迭代完善输出的过程中应用判断力。
这不是一次性的。如果你不培养理解组织背景的人并用这种知识强化人工智能系统,你的公司未来将变得非常肤浅和空洞。
如果这里的公司用人工智能完全取代人类,当所有公司都能获得人工智能时,他们未来将发现自己没有竞争优势。他们也会发现自己受制于人工智能公司。因此,我们的努力方向是一种最能为我们的公司长期可持续增长定位的方法。
Saktiandi Supaat 先生提出了需要平衡的监管方法,这些方法不会阻碍人工智能的采用。确实,我们不会寻求通过立法来获得良好的结果。这从来不是新加坡的主要方法。但我们同样清楚,「自愿」不能在实践中意味着「可选」。
在部署公共资源的地方,我们将要求工人的成果。
我们将与公司合作以满足这些期望。
凡是存在持续差距的地方,我们将审视我们的支持措施如何发挥作用。
我们将与三方伙伴讨论如何以公平且有效的方式进行此项工作,同时激励企业投资于培训、工作重新设计、员工重新配置和就业安置。
如果我们做得好,我们将能够在人工智能时代创造和维持好工作。
好工作不仅仅是存在的工作。它是一种允许员工进步的工作。
它应该薪酬公平,并反映技术带来的生产力收益。
它应该培养保持相关性的技能,包括作为日常在职培训的一部分,使员工不会陷入执行容易被自动化取代的任务中。
它应该给予员工尊严感和主动性,而不是将他们的角色简化为仅仅遵循机器生成的指令。
我们已经看到,当有强大的承诺时,这是可能的。
在港务局(PSA),人工智能和自动化帮助实现了创纪录的货物吞吐量。与此同时,该公司对2000多名员工进行了技能提升和重新配置,使其进入更高技能的职位。他们继续雇佣数千名员工,因为他们的增长速度快于竞争对手。对于Andre Low先生,我想说——自动化和增强并不互斥。保护一名员工可能意味着有意地将重复性和体力要求高的任务自动化,同时提升同一员工的技能,使技术能够在他担任更高价值角色时增强他的能力。
即使是较小的企业也在尽自己的力量。以本地典当行Maxi-Cash为例。过去,想要交易珠宝的顾客会与销售顾问交互,销售顾问随后会将其情况转交给鉴定师来评估珠宝的真伪。Maxi-Cash通过对25名销售顾问进行技能提升,使其能够使用人工智能鉴定系统来增强这一过程,该系统可在仅仅5秒内准确评估珠宝的成分。现在,这些销售顾问可以补充现有的鉴定师队伍,减轻他们的工作量,缩短顾客等待时间。
这是我们希望在新加坡看到的那种负责任的转变——作为常规做法,而不是例外。
副议长先生,我仔细听取了今天议院中来自两边议员们所分享的许多建议和观点。
我们可能在具体的政策理念上存在分歧,或在特定措施应如何设计、资助或排序上存在分歧。这是民主辩论的本质,也是非常健康的。
但我认为议院中对一个根本原则存在广泛共识:「增长和进步的成果必须公平广泛地与所有新加坡人分享」。这不应该是党派或意识形态问题。这是我们作为新加坡人必须共同维护的原则。
那么让我坦白地说。如果新加坡实现了我们的人工智能雄心——我们永远不应该假设成功是自动的,因为这将需要持续的努力、困难的选择、适应以及也许一些幸运!——但如果我们成功了,那么政府将确保福利被广泛分享。
成果必须不仅仅累积给那些拥有资本、优势或接触机会的人。它们必须转化为所有新加坡人更好的工资、更好的机会和更大的安全保障。对员工的最好保护不仅仅是中断后的再分配。它是从一开始就塑造成果的创造和分享方式,并确保新加坡员工在人工智能经济中保持主动权。
在新加坡发展的几十年里,本政府一直能够交付这些成果。我们决心在我们应对这一人工智能转型时继续这样做。我们的政策从来都不是静态的。我们随着情况的变化而不断调整、更新和加强它们。这种纪律将继续下去。
最终,每个新加坡人都应该能够看待新加坡所建立的东西,并说——「我在这一进步中有利益关系。我在这一增长中有份额。这个未来属于我和我的家人。」
这种共同的承诺也是新加坡对这一转变的处理方式独特之处。我们的力量不仅仅是技术。它是我们如何跨越政府、企业和工会共同合作的方式。
对于正在观看这场辩论的员工,我想直接对你们说:政府站在你们这一边,我们在中断到达你们之前采取行动,而不是之后。你们不会孤身一人。我们在议院中今天作出的承诺就是我们对你们的承诺。
对于我们的商业领袖:人工智能给了你们强大的新能力。你们如何使用它们将定义你们公司的未来,以及你们与那些与你们一起建立它的人的关系。十年后领先的公司不是那些最快削减成本的公司,而是那些通过将人类判断与机器能力相结合来建立更强大团队的公司。
但我也想澄清其他事情。并非每个企业都需要采用人工智能,也不是每个追求都需要通过人工智能转变的角度来看待。完全由人类创造的事物中存在真实的价值,随着人工智能变得更加普遍,这种价值可能会增长,而不是萎缩。
当我们周围的一切都是自动生成、优化和扩展的时候,那些不是这样的事物将脱颖而出。无法重复的现场表演和加演。携带人手印记的手工陶碗。用心和工艺准备的餐食,而不仅仅是一致性。还有与花费一生时间打磨艺术的书法大师的对话。
现在我认为我们将看到对这些事物的赞赏的复兴。新加坡不仅应该承认这一点,我们应该拥抱它。我们的工匠、表演者、工艺人不是在逆潮流而行。在一个充满人工智能生成内容的世界中,他们可能会发现自己正是世界所关注的地方。
超越近期的转变,有一个我们必须回答的长期问题。我们现在需要对教育系统做什么,以准备我们的学生迎接未来的世界?
我们必须接受人工智能将继续在机器擅长的任务上变得更好。更重要的是,我们需要专注于使我们与众不同的人类品质。敢于提出他人从未想过的问题的好奇心。以没有训练数据预测的方式跨越领域连接想法的创造力。以及能读懂房间、赢得信任,并知道最有效的解决方案可能不是正确解决方案的共情。
我们经常称之为软技能。在人工智能时代,它们将成为我们的人民和新加坡竞争优势的关键。这就是为什么我们将审视我们的教育系统,以确保我们以与我们总是应用于学术卓越相同的严谨性和意图性来发展这些素质。
我们必须继续建立强大的基础,并确保我们的学生不会过度依赖人工智能捷径。我们的人脑是需要锻炼的肌肉,真正的掌握——那种能经受压力且人工智能无法简单取代的掌握——来自于辛勤工作、实践和深刻的理解。因此,很高兴听到Eileen Chong女士赞同这一点,我们感谢她支持我们的方法。
但严谨和探索不是对立的。真正掌握某样东西的学生恰恰是有信心超越它的人。他将提出更难的问题,解决没有明显答案的问题,并发展真正属于他自己的兴趣。我们正在建立的是一个既需要纪律深度又需要自由广度的教育系统。不仅仅因为我们的学生值得拥有两者,而且因为新加坡的未来取决于两者。
这不意味着放弃我们的标准。它意味着扩大我们所认为的卓越的范围。一个提出意想不到的问题、出于真诚的兴趣而深入追求某事、能够持有两个相互矛盾的想法并加以处理的学生——那个学生并不落后。在我们正在建立的世界中,那个学生可能走在我们所有人的前面。
我们致力于此,与教育工作者、家长和年轻新加坡人一起携手完成。
因为如果我们做好这一点,如果我们培养一代不仅通晓人工智能,而且具有深厚人文素养的人才,那么新加坡不仅会度过这次转变,还将成为下一个人类进步时代所围绕的社会。
副议长先生,
我们今天坦诚地讲述了这次转变将对政府、企业和工人的要求。
不是每条道路都会顺利。有些人会面临真实的冲击,我们的责任是确保没有人独自承受。
我们将使人工智能为新加坡人服务。我们将确保随着经济的增长,工人也随之向前发展。
但我希望以我认为我们最终应该将注意力放在的地方结束——我们正在塑造的这一代人。
如果我们培养出好奇、富有创意、深具人文精神的新加坡人,这些人能够提出机器无法提出的问题,赢得算法永远无法赢得的信任,那么我们将不仅仅是应对这次转变。
我们将定义它之后的未来。
我支持这项动议。
英文原文
MDDI 官网原始记录 · 抓取日期: 2026-06-09
Newsroom Speech by MOS Jasmin Lau for Parliamentary Motion on “An AI Transition with No Jobless Growth” Speeches Speech by MOS Jasmin Lau for Parliamentary Motion on “An AI Transition with No Jobless Growth” 6 May 2026
Mr Deputy Speaker, I have listened carefully to Members today.
There is genuine concern across the House about what AI will mean for our workers. And these concerns are real, the Government shares them.
We cannot slow down the development of AI. But we will not leave its outcomes to chance.
We will work hard to secure a different deal, between the companies that prosper here and the workers whose effort makes that prosperity possible.
Where companies benefit from operating and growing in Singapore, we will expect a fair deal for workers. Not just in words, but in how jobs are designed, how people are trained, and how gains are shared.
Where public resources and policies are used in support of business transformation, we expect companies to deliver clear and meaningful outcomes for workers.
In my conversations and engagements across MDDI and MOE work, and through the Economic Strategy Review, the same concerns come up again and again.
Will my job exist in five years’ time?
Will AI widen inequality, and leave the vulnerable behind?
And if AI makes companies more productive, will workers share in the gains?
These are not unreasonable fears. They come from people who have worked hard, built up skills and experience over time, and now sense that the ground is shifting beneath them.
I will take each of these questions in turn.
First, on whether today’s jobs will continue to exist.
Let me be honest. Some roles will change substantially, roles built primarily around repeating the same steps are the most exposed.
Now this is not a verdict on the value of the people who do that work. It is also a signal to us in government, and to employers, that we need to act now, and not after the disruption arrives. And act, we will.
But AI is more than just a technological advancement that replaces jobs. At the same time, it is opening up entirely new ways of working, and new kinds of roles that did not exist before.
Some academics have described AI as an “invention of a method of invention”. It expands the space of problems that can be solved, the products that can be built, and industries that we can create.
A small biotech team in Singapore can run experiments that would have required a national lab a decade ago.
A solo founder can ship software that took a hundred-man firm to deliver 3 years ago.
So competition sharpens, but the frontier also moves outward.
That is why the Economic Strategy Review (ESR) Committee that SPS Goh Hanyan and I co-chaired, focused on identifying new areas where Singapore can use AI to build a real competitive edge. The Prime Minister’s National AI Council will take this forward.
Members have pointed out the impact of AI on PMEs – Professionals, Managers and Executives, as AI automates routine and analytical tasks.
The ESR team recognised this, which is why helping businesses and workers to proactively navigate the transition was the focus of the committee chaired by MOS Goh Pei Ming and MOS Desmond Choo.
For displaced workers, the committee studied how the government, employers, and unions could offer more timely help. As mentioned in our mid-term update, the ESR is studying ways to encourage earlier retrenchment notifications as raised by Mr Ng Chee Meng.
On PMEs specifically, the committee recognises that they may face greater job uncertainties, and will recommend more targeted support. This includes considering enhancements to the Jobseeker Support Scheme, as Mr Patrick Tay suggested, and tapping on private sector expertise to strengthen placement support for this group.
For workers at risk of displacement, the ESR will recommend practical ways to help them move into more resilient roles with stronger demand.
We will identify sectors with sustained labour demand and lower AI displacement risk, and we will work with unions and employers in those sectors to create clear, supported entry points for workers making the transition.
We must make these pathways walkable, and not just visible.
To illustrate, a mid-career worker in a routine administrative role, for example in data entry or customer service, could be worried about AI displacing him. With job facilitation and reskilling support, the worker should be able to move into a sector where there are roles that build on his existing skillsets. For example, the worker could explore adjacent roles in healthcare administration. This is where we are seeing robust demand given the growth of our population healthcare needs, and healthcare requires uniquely human skills that are more resilient to disruption.
All this requires more than courses. It requires employers, unions, training providers and placement support working closely together, so that workers do not fall through the cracks during transition.
No government in the world has all the answers to this transition, and I would be wary of any that claims otherwise.
What we in Singapore can commit to is this: we will not wait for perfect solutions before acting. We are starting now, and we will adjust our efforts along the way.
Second, on inequality.
Members are right to worry.
Technologies that amplify capability can also amplify gaps – between those who adapt quickly and those who struggle to keep up.
As Mr Mark Lee points out – some risks we face are that productivity gains accrue more to those already ahead, while the bottom of the career ladder may face erosion.
Our response is to raise the floor and to widen the door.
This means starting earlier – building AI literacy into our schools, so that all students develop confidence with AI, not just those who have access to resources.
Currently, every ITE and polytechnic student is already taught AI literacy as part of their course, and we are now bringing AI literacy and safe AI tools into primary and secondary school classrooms. This means that all students, regardless of economic background can learn about AI safely. They can also learn how AI can benefit their learning, such as to help them refine their ideas, and they also learn when they should not use AI.
As Minister Desmond pointed out earlier today, we are committed to supporting students who may not have strong family or parental supervision and support. While AI literacy in school will give them a good and strong foundation, we must continue to develop partnerships with the community and the self-help groups to make sure the supervision and support continue outside of school.
Learning must continue beyond graduation. From the second half of 2026, all of our institutes of higher learning will offer selected AI-related courses at significant discounts for their alumni, for a period of one year.
For workers already in the workforce, Singaporeans who complete selected AI training courses will receive six months of complimentary access to premium AI tools. And we will track take-up and usage, and see if we need to do more.
Every Singaporean, regardless of starting point, should have the chance to experiment with AI tools and to build fluency.
Now the third question is the hardest and the most important. Will workers share in the gains?
We should be clear: this doesn’t happen automatically.
Left on its own, technology can lead to very uneven outcomes. That is why this is not just a market question.
It is a question of how we shape norms and expectations in our economy.
So let me set out clearly what we expect.
Companies that benefit from AI should invest in their people, not just in technology. That means training as many existing workers as possible, and not just hiring new ones.
It means facilitating their employees’ access to frontier AI tools, creating communities of practice, and incentivising learning and upskilling.
It also means redesigning jobs in close consultation with workers – as suggested by Ms Yeo Wan Ling – so that people can work alongside AI, using judgement, context and experience, rather than treating workers simply as a cost to be reduced.
And where roles do change or disappear, it means making a serious effort to redeploy and reskill workers within the organisation, before turning to retrenchment.
We are not just asking our companies to do national service. We are asking them to do what is in their own long-term interest.
In an AI age, human instinct and intuition will remain key. We all know that when we work with AI, we need to steer it. Ask the right questions, and apply judgement as we refine the output iteratively.
It is not one shot. If you do not develop people who understand the context of your organisation and use this knowledge to reinforce your AI systems, you will be left with a very shallow and hollow company in future.
If companies here replace humans completely with AI, they will find themselves in future to have no competitive edge, when AI is available to all companies. They will also find themselves at the mercies of AI companies. So, what we are working towards is an approach that best positions our companies for sustainable growth in the long term.
Mr Saktiandi Supaat brought up the need for balanced regulatory approaches that do not disincentivise AI adoption. Indeed, we will not seek to legislate our way to good outcomes. That has never been Singapore's primary approach. But we are equally clear that ‘voluntary’ cannot mean ‘optional in practice’.
Where public resources are deployed, we will ask for worker outcomes.
We will work with companies to meet these expectations.
Where there are persistent gaps, we will review how our support is applied.
We will discuss with tripartite partners on how this can be done fairly and effectively, in a way that incentivises companies to invest in training, job redesign, redeployment and placement.
If we do this well, we will be able to create and sustain good jobs in the AI age.
A good job is not just a job that exists. It is one that allows a worker to progress.
It should pay fairly, and reflect the productivity gains that technology brings.
It should build skills that remain relevant, including as part of routine on-the-job training, so that workers are not stuck doing tasks that are easily replaced by automation.
It should give workers a sense of dignity and agency, not reduce their role to simply following instructions generated by machines.
We have seen that when there is strong commitment, this is possible.
At PSA, AI and automation have helped deliver record cargo volumes. At the same time, the company reskilled and redeployed more than 2,000 workers into higher-skilled roles. And they continue to hire thousands more, because they are growing faster than the competition. To Mr Andre Low, I would say - automation and augmentation are not mutually exclusive. Protecting a worker can mean being intentional about automating the tasks that are repetitive and physically demanding, AND upgrading the skills of the same worker so that technology can augment his capabilities as he takes on a higher value role.
Even smaller businesses are playing their part. Take for instance local pawnbroker Maxi-Cash. In the past, a customer wishing to trade in jewellery would interface with a sales advisor, who would pass on their case to a valuer to assess the authenticity of the jewellery. Maxi-Cash enhanced this process by reskilling 25 of their sales advisors to use an AI-enabled authentication system, which can accurately assess the composition of jewellery in just 5 seconds. Now, these sales advisors can complement the existing pool of valuers, relieving their workload and reducing the customer wait times.
This is the kind of responsible transformation we want to see in Singapore – as the norm, not as the exception.
Mr Deputy Speaker, I have listened carefully to the many suggestions and perspectives shared in this House today, from Members on both sides.
We may differ on specific policy ideas, or on how particular measures should be designed, funded, or sequenced. That is the nature of democratic debate, and it is very healthy.
But I believe there is broad agreement across this House on a fundamental principle: that the gains from growth and progress must be shared fairly and broadly with all Singaporeans. This should not be a matter of party or ideology. It is a principle that we must uphold together as Singaporeans.
So let me say this plainly. If Singapore succeeds with our AI ambitions – and we should never assume success is automatic, because it will require sustained effort, difficult choices, adaptation, and perhaps some good fortune too! – But if we succeed, then the Government will ensure that the benefits are widely shared.
The gains must not accrue only to those who have capital, advantages or access. They must translate into better wages, better opportunities, and greater security for all Singaporeans. The best protection for workers is not only redistribution after disruption. It is shaping how gains are created and shared from the outset, and ensuring that Singaporean workers retain agency within an AI economy.
This Government has been able to deliver these outcomes over decades of Singapore’s development. And we are determined to continue doing so, as we navigate this AI transition. Our policies have never been static. We have continuously adapted, refreshed and strengthened them as circumstances changed. And that discipline will continue.
Ultimately, every Singaporean should be able to look at what Singapore has built, and say – I have a stake in this progress. I have a share in this growth. And this future, belongs to me and my family too.
This shared commitment is also what makes Singapore's approach to this transition distinctive. Our strength is not just technology. It is the way we work together, across Government, businesses and unions.
To workers watching this debate, I want to say this directly to you: the Government is on your side, and we are acting before the disruption reaches you, not after. You will not be doing this alone. Our commitment made in this House today is our commitment to you.
To our business leaders: AI gives you powerful new capabilities. How you use them will define your company's future, and your relationship with the people who built it alongside you. The companies that will lead in ten years are not those that stripped costs the fastest, but those that built stronger teams by combining human judgement with machine capability.
But I want to be clear about something else as well. Not every business needs to adopt AI, and not every pursuit needs to be seen through the lens of AI transformation. There is real value in things that are fully human created, and that value may grow, not shrink, as AI becomes more prevalent.
When everything around us is auto-generated, optimised, and scaled, the things that are not will stand out. The live performance and encore that cannot be repeated. The hand-thrown ceramic bowl that carries the mark of a human hand. The meal prepared with care and craft, not just consistency. And the conversation with the calligraphy master who has spent a lifetime honing his art.
Now I think we will see a revival of appreciation for these things. And Singapore should not just acknowledge this, we should embrace it. Our artisans, our performers, our craftsmen are not swimming against the tide of AI. In a world saturated with AI-generated content, they may find themselves exactly where the world is looking.
Beyond the near-term transition, there is a longer-term question we must answer. What do we need to do now with our education system, to prepare our students for the future world?
We must accept that AI will continue to get better at the tasks which machines do well. All the more, we need to focus on what makes us distinctly human. The curiosity that asks a question nobody has thought to ask. The creativity that connects ideas across domains in ways no training data predicts. And the empathy that reads a room, earns trust, and knows when the most efficient solution may not be the right solution.
We often call these soft skills. In an AI age, they will become the hard edge of competitive advantage for our people, and for Singapore. That is why we will review our education system, to make sure we develop these qualities with the same rigour and intentionality we have always applied to academic excellence.
We must continue to build strong foundations and make sure our students do not become overly reliant on AI shortcuts. Our human brains are muscles that require exercise, and genuine mastery – the kind that holds up under pressure and that AI cannot simply replace – comes from hard work, from practice, and from deep understanding. So it was good to hear Ms Eileen Chong agree with this, and we thank her for supporting our approach.
But rigour and exploration are not opposites. The student who has truly mastered something is precisely the one with the confidence to venture beyond it. He will ask harder questions, to take on problems without obvious answers, and he will develop interests that are genuinely his own. What we are building towards is an education system that demands both – the discipline to go deep, and the freedom to go wide. Not just because our students deserve both, but because Singapore's future depends on both.
This will not mean abandoning our standards. It will mean expanding what we count as excellence. A student who asks unexpected questions, who pursues something deeply out of genuine interest, who can hold two contradictory ideas and work through them – that student is not behind. In a world that we are building, that student may be ahead of all of us.
We are committed to doing this, together with educators, our parents, and young Singaporeans themselves.
Because if we get this right, if we develop a generation that is not just AI-literate but deeply human, then Singapore will not just survive this transition. We will be the kind of society that the next era of human progress is built around.
Mr Deputy Speaker,
We have been honest today about what this transition will demand – of government, businesses, and workers.
Not every path will be smooth. Some will face real disruption, and our responsibility is to ensure no one faces it alone.
We will make AI work for Singaporeans. And we will ensure that as our economy grows, our workers move forward with it.
But I want to end where I believe our attention must ultimately rest – on the generation that we are building.
If we develop Singaporeans who are curious, creative, and deeply human, people who can ask the questions that machines cannot, and earn the trust that algorithms never will, then we will not merely manage this transition.
We will define what comes after it.
I support this motion.