MDDI 演講稿 · 2026-05-06
MOS Jasmin Lau 就「人工智慧轉型不容無就業式增長」國會動議的發言
要點
- • 在新加坡受益於 AI 增長的公司必須通過職位設計、培訓和收益分享為員工實現公平成果。
- • 政府將通過職位安置和重新技能培訓幫助面臨失業風險的員工過渡到需求穩定且 AI 替代風險較低的部門。
- • AI 素養正被整合到理工學院、工業與商業技能學院、小學和中學的課程中,確保所有學生不論經濟背景如何都能建立使用 AI 工具的信心。
- • 從 2026 年下半年起,高等教育機構將向校友以大幅折扣提供精選 AI 相關課程,為期一年。
- • 完成精選 AI 培訓課程的新加坡人將獲得六個月的高階 AI 工具免費訪問權。
- • 公司必須重新設計職位以使員工能夠利用判斷力和背景與 AI 協作,並在裁員前優先考慮重新部署和重新培訓現有員工。
完整譯文(繁體中文)
MDDI 英文原文譯文 · 翻譯日期: 2026-06-09
新聞室演講 MOS Jasmin Lau關於國會動議「無失業增長的人工智慧過渡」的演講 演講 MOS Jasmin Lau關於國會動議「無失業增長的人工智慧過渡」的演講 2026年5月6日
副議長先生,我今天認真聽取了議員們的意見。
整個議院都對人工智慧對我們工人意味著什麼有真誠的關切。這些關切是真實的,政府也分享這些關切。
我們無法放緩人工智慧的發展。但我們不會將其結果留給機遇。
我們將努力為在新加坡繁榮發展的公司和使這種繁榮成為可能的工人之間爭取一個不同的協議。
在公司在新加坡運營和增長中獲益的地方,我們將期望工人獲得公平待遇。不僅僅是言辭,而是在工作如何設計、人員如何培訓以及收益如何分配上。
在公共資源和政策被用於支援商業轉型的地方,我們期望公司為工人提供明確和有意義的成果。
在我與MDDI和MOE的工作對話和交流中,以及通過經濟戰略審查,同樣的關切一再出現。
我的工作五年後還會存在嗎?
人工智慧會加劇不平等,讓弱勢群體被遺留嗎?
如果人工智慧使公司提高生產力,工人是否會分享收益?
這些不是不合理的恐懼。它們來自那些勤奮工作、長期積累技能和經驗、現在感到腳下的地面在移動的人。
我將逐個回答這些問題。
首先,關於今天的工作是否會繼續存在。
讓我坦誠相待。有些職位將發生實質性的變化,主要圍繞重複相同步驟而建立的職位最容易受到影響。
現在,這不是對做這項工作的人的價值的判決。這也是對我們政府和僱主的訊號,我們需要現在行動,而不是等待破壞到來之後。我們將採取行動。
但人工智慧不僅僅是替代工作的技術進步。與此同時,它正在開啟全新的工作方式,以及以前不存在的新型職位。
一些學者將人工智慧描述為「發明發明方法的發明」。它擴大了可以解決的問題空間、可以構建的產品和可以建立的產業。
新加坡的一個小型生物技術團隊可以進行實驗,這些實驗十年前需要一個國家實驗室才能進行。
一個獨立創始人可以交付需要一個百人公司三年前才能交付的軟體。
因此競爭加劇,但前沿也向外擴充套件。
這就是為什麼由SPS Goh Hanyan和我共同主席的經濟戰略審查(ESR)委員會,專注於確定新加坡可以使用人工智慧來建立真正競爭優勢的新領域。總理的國家人工智慧委員會將推動這一工作。
議員們指出了人工智慧對PME的影響——專業人士、經理人和執行官,因為人工智慧會自動化日常和分析任務。
ESR團隊認識到這一點,這就是為什麼幫助企業和工人主動應對過渡成為由MOS Goh Pei Ming和MOS Desmond Choo主席的委員會的重點。
對於失業工人,委員會研究了政府、僱主和工會如何能夠提供更及時的幫助。如我們中期更新中所述,ESR正在研究鼓勵更早發出裁員通知的方式,這是Ng Chee Meng先生提出的。
關於PME,委員會認識到他們可能面臨更大的工作不確定性,將建議提供更有針對性的支援。這包括考慮對求職者支援計劃進行增強,如Patrick Tay先生所建議,以及利用私營部門的專業知識來加強對該群體的安置支援。
對於面臨失業風險的工人,ESR將建議實際方式來幫助他們轉向需求更強的更有韌性的職位。
我們將確定具有持續勞動力需求和較低人工智慧失業風險的部門,我們將與這些部門的工會和僱主合作,為做出過渡的工人建立明確、受支援的入口。
我們必須使這些路徑可以走通,而不僅僅是可見。
為了說明,一個在日常行政職位中處於職業中期的工人,例如從事資料輸入或客戶服務工作的人,可能擔心人工智慧會取代他。通過工作便利和技能重塑支援,這名工人應該能夠進入一個具有與其現有技能相關工作崗位的部門。例如,這名工人可以探索醫療保健行政方面的相鄰職位。這是我們看到強勁需求的地方,因為考慮到我們人口醫療保健需求的增長,而醫療保健需要獨特的人類技能,這些技能對破壞更具韌性。
這一切需要的不僅僅是課程。需要僱主、工會、培訓提供者和就業安置支援密切配合,以確保工人在轉型過程中不會掉隊。
世界上沒有任何政府對這一轉型擁有全部答案,我會對聲稱擁有答案的任何政府保持警惕。
新加坡所能承諾的是:我們不會等待完美的解決方案才開始行動。我們現在就開始,並在過程中調整我們的努力。
其次,關於不平等。
議員們的擔憂是合理的。
放大能力的技術也可能放大差距——在迅速適應的人和難以跟上的人之間。
正如 Mark Lee 先生所指出的——我們面臨的一些風險是生產力收益更多流向已經領先的人,而職業階梯底層可能面臨侵蝕。
我們的回應是提高底線並擴大入口。
這意味著從更早開始——在學校中建立人工智慧素養,使所有學生都能培養對人工智慧的信心,而不僅僅是那些有資源獲取途徑的學生。
目前,每位 ITE 和理工學院學生都已經在課程中學習人工智慧素養,我們現在正將人工智慧素養和安全的人工智慧工具引入小學和中學課堂。這意味著所有學生,無論經濟背景如何,都可以安全地學習人工智慧。他們也可以學習人工智慧如何有益於他們的學習,例如幫助他們完善想法,他們也學到何時不應該使用人工智慧。
正如 Desmond 部長今天早些時候所指出的,我們致力於支援可能缺乏強有力的家庭或父母監督和支援的學生。雖然學校的人工智慧素養教育將為他們奠定良好的基礎,但我們必須繼續與社群和自助組織發展夥伴關係,以確保學校外的監督和支援繼續進行。
學習必須超越畢業。從 2026 年下半年開始,我們所有的高等教育機構將為校友提供選定的人工智慧相關課程,享有重大折扣,期限為一年。
對於已在勞動力隊伍中的工人,完成選定的人工智慧培訓課程的新加坡人將獲得六個月的高階人工智慧工具的免費使用權。我們將跟蹤使用情況和使用者量,看看是否需要做更多的事情。
每個新加坡人,無論起點如何,都應該有機會嘗試人工智慧工具並提高對其的掌握。
現在第三個問題是最難的,也是最重要的。工人是否會分享收益?
我們應該明確:這不會自動發生。
單靠自己,技術可能導致非常不均勻的結果。這就是為什麼這不僅僅是一個市場問題。
這是關於我們如何在經濟中塑造規範和期望的問題。
因此,讓我清楚地說明我們的期望。
受益於人工智慧的公司應該投資於他們的員工,而不僅僅是技術。這意味著儘可能多地培訓現有工人,而不僅僅是僱傭新員工。
這意味著便利員工獲取前沿人工智慧工具,建立實踐社群,並激勵學習和技能提升。
這也意味著與工人進行密切協商重新設計工作——如 Yeo Wan Ling 女士所建議的——使人們能夠與人工智慧一起工作,運用判斷力、背景知識和經驗,而不是簡單地將工人視為需要減少的成本。
當職位確實發生變化或消失時,這意味著在進行裁員之前,要認真努力在組織內重新部署和提高工人的技能。
我們不僅僅是要求我們的公司進行國家服務。我們要求他們做符合自己長期利益的事情。
在人工智慧時代,人類的本能和直覺將仍然是關鍵。我們都知道,當我們與人工智慧合作時,我們需要引導它。提出正確的問題,在迭代完善輸出的過程中應用判斷力。
這不是一次性的。如果你不培養理解組織背景的人並用這種知識強化人工智慧系統,你的公司未來將變得非常膚淺和空洞。
如果這裡的公司用人工智慧完全取代人類,當所有公司都能獲得人工智慧時,他們未來將發現自己沒有競爭優勢。他們也會發現自己受制於人工智慧公司。因此,我們的努力方向是一種最能為我們的公司長期可持續增長定位的方法。
Saktiandi Supaat 先生提出了需要平衡的監管方法,這些方法不會阻礙人工智慧的採用。確實,我們不會尋求通過立法來獲得良好的結果。這從來不是新加坡的主要方法。但我們同樣清楚,「自願」不能在實踐中意味著「可選」。
在部署公共資源的地方,我們將要求工人的成果。
我們將與公司合作以滿足這些期望。
凡是存在持續差距的地方,我們將審視我們的支援措施如何發揮作用。
我們將與三方夥伴討論如何以公平且有效的方式進行此項工作,同時激勵企業投資於培訓、工作重新設計、員工重新配置和就業安置。
如果我們做得好,我們將能夠在人工智慧時代創造和維持好工作。
好工作不僅僅是存在的工作。它是一種允許員工進步的工作。
它應該薪酬公平,並反映技術帶來的生產力收益。
它應該培養保持相關性的技能,包括作為日常在職培訓的一部分,使員工不會陷入執行容易被自動化取代的任務中。
它應該給予員工尊嚴感和主動性,而不是將他們的角色簡化為僅僅遵循機器生成的指令。
我們已經看到,當有強大的承諾時,這是可能的。
在港務局(PSA),人工智慧和自動化幫助實現了創紀錄的貨物吞吐量。與此同時,該公司對2000多名員工進行了技能提升和重新配置,使其進入更高技能的職位。他們繼續僱傭數千名員工,因為他們的增長速度快於競爭對手。對於Andre Low先生,我想說——自動化和增強並不互斥。保護一名員工可能意味著有意地將重複性和體力要求高的任務自動化,同時提升同一員工的技能,使技術能夠在他擔任更高價值角色時增強他的能力。
即使是較小的企業也在儘自己的力量。以本地典當行Maxi-Cash為例。過去,想要交易珠寶的顧客會與銷售顧問互動,銷售顧問隨後會將其情況轉交給鑑定師來評估珠寶的真偽。Maxi-Cash通過對25名銷售顧問進行技能提升,使其能夠使用人工智慧鑑定系統來增強這一過程,該系統可在僅僅5秒內準確評估珠寶的成分。現在,這些銷售顧問可以補充現有的鑑定師隊伍,減輕他們的工作量,縮短顧客等待時間。
這是我們希望在新加坡看到的那種負責任的轉變——作為常規做法,而不是例外。
副議長先生,我仔細聽取了今天議院中來自兩邊議員們所分享的許多建議和觀點。
我們可能在具體的政策理念上存在分歧,或在特定措施應如何設計、資助或排序上存在分歧。這是民主辯論的本質,也是非常健康的。
但我認為議院中對一個根本原則存在廣泛共識:「增長和進步的成果必須公平廣泛地與所有新加坡人分享」。這不應該是黨派或意識形態問題。這是我們作為新加坡人必須共同維護的原則。
那麼讓我坦白地說。如果新加坡實現了我們的人工智慧雄心——我們永遠不應該假設成功是自動的,因為這將需要持續的努力、困難的選擇、適應以及也許一些幸運!——但如果我們成功了,那麼政府將確保福利被廣泛分享。
成果必須不僅僅累積給那些擁有資本、優勢或接觸機會的人。它們必須轉化為所有新加坡人更好的工資、更好的機會和更大的安全保障。對員工的最好保護不僅僅是中斷後的再分配。它是從一開始就塑造成果的創造和分享方式,並確保新加坡員工在人工智慧經濟中保持主動權。
在新加坡發展的幾十年裡,本政府一直能夠交付這些成果。我們決心在我們應對這一人工智慧轉型時繼續這樣做。我們的政策從來都不是靜態的。我們隨著情況的變化而不斷調整、更新和加強它們。這種紀律將繼續下去。
最終,每個新加坡人都應該能夠看待新加坡所建立的東西,並說——「我在這一進步中有利益關係。我在這一增長中有份額。這個未來屬於我和我的家人。」
這種共同的承諾也是新加坡對這一轉變的處理方式獨特之處。我們的力量不僅僅是技術。它是我們如何跨越政府、企業和工會共同合作的方式。
對於正在觀看這場辯論的員工,我想直接對你們說:政府站在你們這一邊,我們在中斷到達你們之前採取行動,而不是之後。你們不會孤身一人。我們在議院中今天作出的承諾就是我們對你們的承諾。
對於我們的商業領袖:人工智慧給了你們強大的新能力。你們如何使用它們將定義你們公司的未來,以及你們與那些與你們一起建立它的人的關係。十年後領先的公司不是那些最快削減成本的公司,而是那些通過將人類判斷與機器能力相結合來建立更強大團隊的公司。
但我也想澄清其他事情。並非每個企業都需要採用人工智慧,也不是每個追求都需要通過人工智慧轉變的角度來看待。完全由人類創造的事物中存在真實的價值,隨著人工智慧變得更加普遍,這種價值可能會增長,而不是萎縮。
當我們周圍的一切都是自動生成、最佳化和擴充套件的時候,那些不是這樣的事物將脫穎而出。無法重複的現場表演和加演。攜帶人手印記的手工陶碗。用心和工藝準備的餐食,而不僅僅是一致性。還有與花費一生時間打磨藝術的書法大師的對話。
現在我認為我們將看到對這些事物的讚賞的復興。新加坡不僅應該承認這一點,我們應該擁抱它。我們的工匠、表演者、工藝人不是在逆潮流而行。在一個充滿人工智慧生成內容的世界中,他們可能會發現自己正是世界所關注的地方。
超越近期的轉變,有一個我們必須回答的長期問題。我們現在需要對教育系統做什麼,以準備我們的學生迎接未來的世界?
我們必須接受人工智慧將繼續在機器擅長的任務上變得更好。更重要的是,我們需要專注於使我們與眾不同的人類品質。敢於提出他人從未想過的問題的好奇心。以沒有訓練資料預測的方式跨越領域連線想法的創造力。以及能讀懂房間、贏得信任,並知道最有效的解決方案可能不是正確解決方案的共情。
我們經常稱之為軟技能。在人工智慧時代,它們將成為我們的人民和新加坡競爭優勢的關鍵。這就是為什麼我們將審視我們的教育系統,以確保我們以與我們總是應用於學術卓越相同的嚴謹性和意圖性來發展這些素質。
我們必須繼續建立強大的基礎,並確保我們的學生不會過度依賴人工智慧捷徑。我們的人腦是需要鍛鍊的肌肉,真正的掌握——那種能經受壓力且人工智慧無法簡單取代的掌握——來自於辛勤工作、實踐和深刻的理解。因此,很高興聽到Eileen Chong女士贊同這一點,我們感謝她支援我們的方法。
但嚴謹和探索不是對立的。真正掌握某樣東西的學生恰恰是有信心超越它的人。他將提出更難的問題,解決沒有明顯答案的問題,並發展真正屬於他自己的興趣。我們正在建立的是一個既需要紀律深度又需要自由廣度的教育系統。不僅僅因為我們的學生值得擁有兩者,而且因為新加坡的未來取決於兩者。
這不意味著放棄我們的標準。它意味著擴大我們所認為的卓越的範圍。一個提出意想不到的問題、出於真誠的興趣而深入追求某事、能夠持有兩個相互矛盾的想法並加以處理的學生——那個學生並不落後。在我們正在建立的世界中,那個學生可能走在我們所有人的前面。
我們致力於此,與教育工作者、家長和年輕新加坡人一起攜手完成。
因為如果我們做好這一點,如果我們培養一代不僅通曉人工智慧,而且具有深厚人文素養的人才,那麼新加坡不僅會度過這次轉變,還將成為下一個人類進步時代所圍繞的社會。
副議長先生,
我們今天坦誠地講述了這次轉變將對政府、企業和工人的要求。
不是每條道路都會順利。有些人會面臨真實的衝擊,我們的責任是確保沒有人獨自承受。
我們將使人工智慧為新加坡人服務。我們將確保隨著經濟的增長,工人也隨之向前發展。
但我希望以我認為我們最終應該將注意力放在的地方結束——我們正在塑造的這一代人。
如果我們培養出好奇、富有創意、深具人文精神的新加坡人,這些人能夠提出機器無法提出的問題,贏得演算法永遠無法贏得的信任,那麼我們將不僅僅是應對這次轉變。
我們將定義它之後的未來。
我支援這項動議。
英文原文
MDDI 官網原始記錄 · 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.