MDDI 演講稿 · 2026-05-08
高階政務部長陳杰豪在SCS晚宴暨科技領袖獎2026上的開幕致辭
要點
- • 新加坡數字經濟2024年達1281億新元(佔GDP 18.6%),較2015年的8.3%大幅躍升,2019至2024年間複合年增長率為12%。
- • 科技勞動力規模已達約22.2萬人(十年前約17.3萬),女性佔比40%,增長最快的崗位集中於人工智慧、資料分析和網路安全領域。
- • 政府將通過"國家AI影響計劃"為4萬名科技專業人士提升技能,IMDA聯合新加坡AI機構推出行業認證AI能力培訓專案AIxTech,涵蓋Claude、Codex、Gemini、GitHub Copilot及Kiro等工具。
- • AIxTech分兩階段實施——線上動手程式設計模組與專家主導學習社群,並將負責任AI開發理念從課程伊始便納入其中,目前已獲逾30個組織的支援。
- • 由IMDA與即將合併成立的"技能與勞動力發展局"(SWDA)聯合主導,新加坡電腦學會、SGTech及科技人才集合(TTAB)共同參與的"科技工作未來"工作組正式成立,將研究科技行業結構、崗位與技能的演變。
- • 成立於2022年的SG數字領導力加速計劃規模已翻倍至逾1600人,本晚迎來來自跨國企業和初創公司的21位新SG數字領袖加入。
完整譯文(繁體中文)
MDDI 英文原文譯文 · 翻譯日期: 2026-06-21
林美娟女士,新加坡電腦學會會長
SCS理事會成員
獲獎者、各位嘉賓、女士們、先生們
開場
晚上好。很高興今晚能與SCS社群共聚一堂——科技行業的業界領袖、從業者和朋友們——同時也慶祝今年科技領袖獎獲獎者的成就。向各位獲獎者致以最熱烈的祝賀。儘管AI不斷進步,但我認為它無法取代我們彼此之間的人際連結。正是這種連結,讓這個社群如此充滿活力、堅實有力。
就在上個月,我參加了SCS AI大會,在會上談到了我們如何通過擴大後的TIP Alliance+努力,為來自高等學府、理工學院和自主大學、即將踏入職場的理工科畢業生重新構想職業階梯的最初幾級。看到整個行業生態系統以及SCS的大力支援,我深感欣慰。
我們都知道,許多應屆畢業生對第一份工作感到焦慮,因為職業階梯的最初幾級正在消失。但我非常自豪,在新加坡,我們正在做一件獨特的事情。我們共同努力,聯合學校、政府、行業、僱主和學生本身,共同搭建並鞏固僱主與學校之間的橋樑。也請為SCS鼓掌。這個社群在科技專業領域產生了真正的影響。
今晚,我想談另一個我十分關心的重要話題,並從更宏觀的角度來審視——不僅僅是踏入科技職場的應屆畢業生。因為擺在我們面前的問題,不只關乎新入行者,而是關乎整個科技行業:我們的企業、我們的專業人士,以及在AI時代的未來幾年,新加坡要保持充滿活力的科技樞紐地位所需具備的條件。
在談及這些問題之前,讓我們先花一點時間,共同回顧這些年來我們所取得的成就。2015年,我們的數字經濟約佔GDP的8.3%。到2024年,已達到1281億新元,佔GDP的18.6%,這意味著我們經濟每產生五元,約有一元來自數字經濟。僅2019年至2024年間,我們的數字經濟年複合增長率達12%,遠高於整體GDP增速。ICT行業本身在五年內近乎翻倍,至今仍是我國增長最快的行業之一。這是非凡的進步。
我們的科技人才隊伍不斷壯大——不僅在規模上,在深度、多樣性和專業化程度上亦有顯著提升。新加坡目前約有22.2萬名科技專業人士,比十年前的約17.3萬人有所增加。但更能說明問題的,是這支隊伍的結構變化。當今增長最快的崗位集中在人工智慧、資料分析和網路安全領域——這些領域在十年前幾乎還算不上獨立的職業方向。我們走了多遠,格局已大為不同。新加坡女性在科技行業中佔比40%,在推動東南亞科技行業性別多元化與包容性方面,新加坡繼續走在前列。我們做得很好。這表明,我們的勞動力隊伍不僅僅是規模擴大,更是持續進化,達到了卓越的頂峰。
這是我們正在夯實的堅實基礎:數字經濟在GDP中的佔比翻了一番有餘;科技人才隊伍逐年持續增長,所從事的工作更為複雜、更具影響力,與全球的聯絡也更加緊密。這是好訊息。但與此同時,當我們談論AI與轉型時,我們也難以迴避腳下正在發生的變局,以及隨之而來的重大變化。
顛覆不止於就業
近年來,所謂"一人公司"的浪潮不斷湧現——獨立創始人憑藉一己之力,將真實業務做到相當規模。他們通過整合AI代理、自動化工具和雲服務,完成了過去需要整個團隊才能完成的工作。營銷、客戶服務、軟體開發、財務職能,均可由一人來運營,由AI承擔繁重工作。
當然,我所描述的是一種更為極端的自動化形式,以及將AI嵌入企業組織的方式。但我將其作為一個思想實驗:無論這種模式是否成為主流工作方式,趨勢已然清晰。AI不僅僅是在改變個人工作者的工作方式,它正在改變整個公司的面貌。它正在重塑服務交付的經濟邏輯、價值創造的方式以及企業競爭的模式。我們的總理黃循財先生也在上週勞動節集會演講中談到AI如何改變工作方式,幾天前,國會花費超過七個小時討論了由SG/NTUC提出的關於AI與就業的動議。
對於我們的科技行業而言,作為驅動AI的增長引擎,這是一次深刻的轉變。討論不能再僅僅侷限於生產效率的提升,或是將AI疊加到現有工作流程之上。我們需要就AI對科技行業的影響提出更根本性的問題——AI將如何影響我國科技企業的商業模式,以及科技專業人士的職業發展。
今晚,我想談三個方面。第一,AI驅動的顛覆對我們的科技企業——尤其是提供客戶服務的企業——意味著什麼。第二,對我們的科技專業人士在技能與就業方面意味著什麼。第三,我們未來需要怎樣的科技領袖。
這對我們科技服務企業意味著什麼
讓我先從科技服務提供商談起——系統整合商、諮詢公司、IT運營與維護企業。在座許多人都是這些企業的領導者。你們憑藉精銳的工程師隊伍、成熟的交付方法論以及與客戶建立的信任關係,打造了強大的公司。但這一商業模式的根基正在受到考驗。
如今,AI工具已經能夠生成程式碼庫的大部分內容,處理並解決相當比例的支援工單,起草系統設計方案,並自動化例行維護工作。當客戶開始質疑為何還要為工程師買單、而AI代理可以在極短時間內完成大部分工作時,以人力、可計費工時和按時間與材料計費合同為基礎的傳統價值主張將承受巨大壓力。
我之所以提出這一點,是因為我知道你們中許多人已經在思考這個問題。過去幾個月我與許多人交流過。但我想就我認為機遇所在之處分享幾點觀察。
第一,能夠蓬勃發展的企業,是那些向價值鏈上游遷移、從交付人力轉向交付成果的企業。客戶將不再為人頭數或工時付費,而是為問責制、整合能力、安全保障以及能夠端到端解決真實業務問題的可信賴夥伴關係付費。那些能夠實現這一目標、以AI賦能團隊而非取代其價值的企業,將處於更有利的位置。
第二,競爭格局正在擴大。規模較小的公司,甚至小型團隊,現在也能承接過去只有大型企業才能勝任的工作。這對新加坡而言,既是競爭挑戰,也是機遇。這是我們的企業以小博大、與大型企業在更公平的競爭環境中同臺競技的機遇。新的本土領軍企業可能從意想不到的地方湧現,也許就在今晚的會場之中。
第三,採納速度至關重要。那些迅速嘗試AI原生交付模式並從中汲取經驗的科技企業,將遠比那些等待塵埃落定後才著手行動的企業佔據更有利的位置。這體現了我們科技行業許多企業的優勢——靈活、敏捷、富有創業精神。當競爭環境更加公平時,機會視窗會大得多。現在正是趁熱打鐵、推動科技行業持續奮進與成長的時機。
這對我們科技專業人士意味著什麼:技能
現在我來談談我們的科技專業人士。
在今年4月SCS AI大會的演講中,我的重點是應屆畢業生。但在我們22.2萬名科技專業人士中,絕大多數已經在職。對現有科技人才隊伍進行再培訓和技能提升,是一個迫切的課題。
因此,我很高興宣佈,政府將通過國家AI影響力計劃為4萬名科技專業人士提升技能。在這一工作框架下,IMDA正與AI Singapore合作推出AIxTech——一項經行業驗證的AI流利度專案。該專案將為科技專業人士和最後一年的IDT學生提供從編寫程式碼到編排端到端智慧體AI系統的AI能力培訓。
AIxTech有三個值得重點介紹的特色。
第一,學員將能夠獲取來自全球各地的廣泛領先AI工具,這些工具將定期更新,以隨著技術演進保持相關性。學員將在Claude、Codex、Gemini、GitHub Copilot和Kiro等領先AI程式設計解決方案中獲得多元化的實操經驗。
第二,AIxTech的設計旨在滿足忙碌專業人士的實際需求。第一階段提供線上模組,含實操程式設計工作流程培訓,專業人士可根據自身工作安排靈活學習。第二階段主要通過專家主導的學習社群提供課後支援,幫助這些專業人士將新技能應用到工作場所。
第三,負責任的AI發展從一開始就內嵌於計劃之中,而非事後附加。我們的專業人士在運用AI進行構建時,也應具備安全、合乎道德且負責任地開展工作的能力。
AIxTech已獲得來自行業、行業協會、高等院校及政府機構逾30個組織的積極關注與早期支援。
這對我們科技專業人士意味著什麼:就業
歸根結底,當你們進行技能再培訓時,關鍵在於就業以及在職場中保持競爭力。這是因為在設計課程時,我們始終依靠業界與我們共同建立並驗證。這包括ICT和非ICT行業的企業。
目前,我們約60%的科技人才在金融服務、專業服務和製造業等非ICT行業就業,且這一比例增速更快。僅有40%的科技人才在科技公司本身工作。
這一60/40的比例意義重大。因為大多數關於AI的討論往往聚焦於科技公司。但更重要的議題和更難回答的問題,恰恰存在於非科技企業的IT部門之中。
在AI原生時代,內部IT部門的職能是什麼?如果大量日常的系統管理、技術支援,乃至應用程式維護工作都可以由AI智慧體和外部平臺自動完成,這支團隊的獨特價值何在?我們如何重新設計他們的崗位職責,為他們賦予關鍵技能,使其成為公司成功不可或缺的力量?
如何將IT部門從一個運營系統的成本中心,轉型為驅動業務變革的戰略職能部門?
如何將科技專業人士培養成具備「AI雙語」能力的領導者——他們既能深刻理解業務,又能將AI能力轉化為各自行業的競爭優勢?
當初級工程師所承擔的大量入門級任務正逐步被自動化取代,我們又該如何培育下一代人才?
這些問題沒有人能夠單獨回答。我們需要一如既往地做我們一直在做的事——匯聚生態系統中志同道合的夥伴,匯聚我們在新加坡的社群,共同討論、思考解決方案並付諸行動。我們將持續壯大科技行業,並探索一條前行的道路。
因此,我非常高興,我們將通過一個工作組來正式化並擴大與業界的互動工作,以研究科技工作的未來。SCS、SGTech和Tech Talent Assembly(TTAB)已同意牽頭與其成員及網路展開溝通,廣泛徵集關於科技行業、團隊、崗位及技能如何演變的意見。他們將與處於各個職業階段、任職於不同型別企業的科技專業人士進行交流。
該工作組將由IMDA和Workforce Singapore(WSG)共同牽頭——WSG將與SkillsFuture Singapore(SSG)合併,組建技能與勞動力發展局(SWDA)——並以SCS、SGTech和TTAB為成員。我們將共同在生態系統層面確定行動方向,例如為本地科技企業識別市場機會、如何提升科技人才的能力(包括仍在就學的學生),以及審查現有政策或制定新的政策與干預措施。
一個研究科技工作未來的工作組,本身也需要以科技的方式運作——持續整合理念,持續輸出洞見。我們將在成果就緒時釋出,而非等到完美時才釋出,並持續迭代和完善,就像今天軟體的開發方式一樣。我們希望在未來幾個月內交付階段性成果。
MDDI期待與業界和專業人士共同參與這場對話。如果我們能做好這件事,我們不僅是在守護現有崗位,更是在為我們的科技行業創造新的競爭優勢,為我們的專業人士創造優質就業機會,並鞏固新加坡作為區域數字經濟中心的地位。我要感謝總裁Cher Pong、總裁Dilys、會長Bee Kwan、主席Nicholas和主席Maxim在這方面的積極推動。
培育新加坡所需的科技領導者
請允許我簡要談談第三個方面——我們應如何持續吸引和培育新加坡頂尖的科技領導力。
如果我們希望新加坡成為區域數字經濟的重要節點,我們需要能夠引領全球AI、網路安全和前沿技術討論的領導者。這正是IMDA於2022年啟動SG Digital Leadership Accelerator的原因——旨在壯大一支立足新加坡的強大科技領袖社群。我很高興地分享,自2022年以來,這一社群規模已翻倍,目前擁有逾1,600名成員。
今晚,我們歡迎21位新一屆SG Digital Leaders加入這一社群,他們將在跨國公司和初創企業中推動AI及前沿科技的討論。
讓我舉兩個例子,展示這一網路中領袖的素質與水準。Dr Alvin Chan是Neeuro的創始人,他從新加坡出發,推動AI驅動的神經技術發展,並在全球範圍內引領AI與前沿技術的討論。Shanice Choo是全球頂級國際律師事務所之一Clifford Chance的亞太區創新主管,她的經歷充分體現了數字化領導力在傳統科技行業之外日益凸顯的重要性,折射出數字化與AI能力正如何深刻影響專業服務領域的討論。
這正是新加坡需要更多的領導力——技術精湛、商業敏銳、具有全球視野,同時紮根新加坡的專業人士。
結語
請允許我回到開篇的主題作結。AI時代的顛覆性衝擊是真實存在的。它將重塑我們專業人士的職業發展軌跡、科技企業的商業模式,以及內部IT部門在各行各業中所扮演的角色。
沒有人能夠完整預見這一切將走向何方。但我們的回應不能是等待。新加坡的科技行業從來都不是為等待者準備的地方。
如果我們做對了這件事——轉型我們的企業、為專業人士提供再培訓、吸引頂尖領導者並共同開闢新路徑——我們將為新加坡創造新的競爭優勢。我們將繼續成為優質科技崗位的孵化之地、雄心勃勃的科技企業成長與擴張的舞臺,以及區域內最優秀科技人才嚮往匯聚的地方。
非常感謝大家的支援,我期待你們每一位在塑造未來的過程中發揮重要作用。
英文原文
MDDI 官網原始記錄 · 抓取日期: 2026-06-21
Ms Lim Bee Kwan, President, Singapore Computer Society
Council Members of the SCS
Award recipients, distinguished guests, ladies and gentlemen
Opening
A very good evening. It is a pleasure to be here this evening amongst the SCS community – industry leaders, practitioners and friends from the tech sector, as well as to celebrate the achievements of this year’s Tech Leader Award recipients. To all the awardees – my heartiest congratulations. Even though AI has progressed, I think it doesn't replace this human connection that we all have with one another. That is what makes this relationship in this community so vibrant and strong.
Just last month, I joined you at the SCS AI Conference, where I spoke about how, through the expanded TIP Alliance+ effort, we are re-imagining the early rungs of the career ladder for tech graduates from institutes of higher learning, polytechnics, and autonomous universities entering the workforce. I am heartened to see the strong support from the entire industry ecosystem as well as SCS.
We all know that many fresh graduates from our schools are anxious about their first job because the early rungs of that career ladder are disappearing. But I am very proud that in Singapore, we are doing something unique. We come together and work together with schools, government, industry, employers and the student themselves. We build and strengthen the bridge between employers and the school. Please give SCS a round of applause too. This community has made a real difference in terms of the tech profession.
Tonight, I would like to speak on another important topic that is close to my heart and take a wider perspective. Beyond the fresh graduates entering the tech workforce. Because the questions before us are not only about new entrants. They are about the entire tech sector. Our companies, our professionals, and what it will take for Singapore to remain a vibrant tech hub in the years ahead in the age of AI.
Before I turn to those questions, let us take a moment to acknowledge how far, collectively, we have come over the years. In 2015, our digital economy contributed roughly 8.3 per cent of our GDP. In 2024, it reached $128.1 billion or 18.6 per cent of GDP, which means that for every five dollars our economy generates, about one dollar comes from the digital economy. And between 2019 and 2024 alone, our digital economy grew at a compound annual growth rate of 12 per cent, well ahead of our overall GDP growth. The ICT sector itself nearly doubled over those five years and remains one of the fastest-growing sectors in our economy. This is remarkable progress.
Our tech workforce has grown — not just in size, but in depth, diversity and sophistication. We now have around 222,000 tech professionals in Singapore, up from approximately 173,000 a decade ago. But more telling, is the shift in the profile of that workforce. The fastest-growing roles today are in artificial intelligence, data analytics, and cybersecurity – fields that barely registered as distinct professions ten years ago. How far we have come and how different the landscape is. With 40% of women in technology, Singapore remains at the forefront of promoting greater gender diversity and inclusion in the tech industry within Southeast Asia. We have done well. This tells us that our workforce has not simply expanded, it has evolved and become a pinnacle excellence.
This is a strong foundation we are building on. A digital economy that has more than doubled its share of GDP. A tech workforce that is continually growing year-on-year, and is doing work that is more sophisticated, more consequential, and more globally connected. That is the good news. But at the same time as we talk about AI and transformation, we are not immune to this shifting sense below our feet and the big changes that may happen.
The disruption is bigger than jobs
There has been a growing wave of so-called “one-person companies”, which are solo founders running real businesses at meaningful scale. They do so by stitching together AI agents, automation tools and cloud services to do the work that used to require entire teams. Marketing, customer service, software development, finance functions can all be run by one person, with AI doing the heavy lifting.
Of course, what I’ve described as is a more extreme form of automation and embedding AI in organisations. But I use it as thought experiment, whether or not this becomes the dominant way of working, the trend is clear. AI is not just changing what individual workers do. It is changing what an entire company looks like. It is reshaping the economics of how services are delivered, how value is created, and how companies compete. Our Prime Minister Mr Lawrence Wong also spoke about how AI is transforming how work is done during his May Day Rally speech last week, and a few days ago, Parliament took over more than seven hours to discuss the motion on AI and jobs that was tabled by the SG/NTUC.
For our tech sector, it is growing engine powering AI, this is a profound shift. The conversation can no longer just be about productivity gains or about layering AI onto existing workflows. We need to ask more fundamental questions about the implications to the tech sector and tech profession – how AI will impact the business models of our tech companies, and the careers of our tech professionals.
Tonight, I want speak about three areas. First, what AI-powered disruption means for our tech companies, especially those providing client services. Second, what it means for our tech professionals when it comes to skills and jobs. Third, what kind of tech leaders we need moving forward.
What this means for our tech service companies
Let me start with our tech service providers – the systems integrators, consultancies, IT operations and maintenance firms. Many of you in this room lead these businesses. You have built strong companies on the back of skilled engineers, well-honed delivery methodologies, and trusted relationships with your clients. But the foundations of this business model are being tested.
Today, AI tools can already generate large parts of a codebase, triage and resolve a meaningful share of support tickets, draft system designs, and automate routine maintenance. The traditional value proposition built around manpower, billable hours, and time-and-materials contracting will come under pressure as clients ask why they should pay for engineers when AI agents could do much of the work in a fraction of the time.
I raise this because I know many of you are already thinking about this. I spoke to many of you in the last few months. But I want to offer a few observations on where I think the opportunities lie.
Firstly, the companies that will thrive are those that move up the value chain, from delivering manpower, to delivering outcomes. Instead of paying for headcount or hours, clients will pay for accountability, for integration, for security, for trusted partnerships that solve real business problems end-to-end. The companies that can deliver that, with AI augmenting their teams rather than replacing their value, will be in a stronger position.
Secondly, the playing field is widening. Smaller companies, even small teams, can now take on work that used to be the preserve of much larger players. That is both a competitive challenge and an opportunity especially for Singapore. It is an opportunity for our firms to punch above our weight and compete with larger firms to be on a more level playing field. New local champions may emerge, including from places we may not expect, perhaps somewhere in the room as well
Thirdly, the speed of adoption matters. The tech companies that experiment quickly with AI-native delivery models and learn from those experiments will be far better placed than those who wait for the dust to settle before getting started. It speaks to our strength of many of us in the tech sector – nimble, agile. entrepreneurial. When there is a level-playing field, the windows of opportunities are much wider. Now, it’s for us to strike when the iron is hot and for the tech sector to continue to strive and grow.
What this means for our tech professionals: Skills
I now turn to our tech professionals.
In my speech at the SCS AI Conference in April, I focused on fresh graduates. But the bulk of our 222,000 tech professionals are already in the workforce. The question of reskilling and upskilling our existing tech workforce is an urgent one.
So, I am pleased to announce that the Government will upskill 40,000 tech professionals through the National AI Impact Programme. Under this effort, IMDA is partnering AI Singapore to launch the AIxTech, an industry validated AI Fluency programme. The programme will equip both tech professionals and final-year IDT students with AI competencies from writing code to orchestrating end-to-end agentic AI systems.
Three features of AIxTech are worth highlighting.
First, learners will get access to a wide portfolio of leading AI tools from around the world which will be refreshed regularly to stay relevant as the technology evolves. Trainees will gain versatile, hands-on experience across leading AI coding solutions such as Claude, Codex, Gemini, GitHub Copilot, and Kiro.
Second, AIxTech is designed to meet the busy professionals where you are. Phase 1 offers online modules with hands-on coding workflow training that professionals can fit around their work schedules. Phase 2 offers post-course support primarily through an expert-led learning community to help these professionals in applying their new skills to their workplaces.
Third, responsible AI development is built into the programme from the start and not bolted on as an afterthought. As our professionals build with AI, they should also be equipped to do so safely, ethically, and accountably.
AIxTech has already drawn very good early interest and support from over 30 organisations across industry, trade associations, institutes of higher learning and government agencies.
What this means for our tech professionals: Jobs
Ultimately, when you reskill yourselves, it is about jobs and being relevant in the workplace. This is because in designing our programmes, we have always leaned on industry to co-create and validate them with us. This includes both companies in the ICT and non-ICT sectors.
Today, about 60 per cent of our tech workforce work in non-ICT sectors, such as financial services, professional services, and manufacturing. And this is the faster-growing share. Only 40 per cent are in tech firms themselves.
This 60-40 split is significant. Because much of the AI conversation tends to focus on tech companies. But the bigger story and the harder questions sit in the IT departments of our non-tech companies.
What is the in-house IT function for, in an AI-native era? If much of your routine systems administration, helpdesk support, and even application maintenance can be automated or handled by AI agents and external platforms, what is the unique proposition of the team? How can we redesign their job roles and equip them with key skills to enable them to be crucial to the success of company?
How do you reposition the IT department from a cost centre that runs systems to a strategic function that drives business transformation?
How do you grow the tech professionals into AI-bilingual leaders who deeply understand the business, and can translate AI capabilities into competitive advantages in their sectors?
And how do you nurture the next generation, when many of the entry-level tasks done by junior engineers are being automated?
These are not questions any one of us can answer alone. We require what we’ve always done – bringing together like-minded partners in the ecosystem, the community we have here in Singapore, and coming together to discuss, think of solutions and act. We continue to grow the tech sector and pathfind a way forward.
Thus, I am very glad that we will formalise and expand our industry engagement efforts through a workgroup to study the Future of the Tech Work. SCS, SGTech, and the Tech Talent Assembly (TTAB) have agreed to lead engagements with their members and networks to canvass views on how the tech industry, teams and jobs and skills are changing. They will speak to tech professionals across all career stages and in different archetypes of firms.
This workgroup will be co-led by IMDA and Workforce Singapore (WSG), which will be merged with SkillsFuture Singapore (SSG) to form Skills and Workforce Development Agency (SWDA), along with SCS, SGTech and TTAB as members. Together, we will identify moves at the ecosystem level, such as identifying market opportunities for our local tech businesses, how to build capabilities in our tech workforce, including those who are still in school, and review existing or develop new policies and interventions.
A workgroup that studies the future of tech work needs to operate the way tech does — with continuous integration of ideas and continuous delivery of insight. We will ship what we learn when it is ready, not when it is perfect, and continue to iterate and refine, just like how software is built today. We hope to deliver something in the coming months.
MDDI looks forward to be part of this conversation with industry and professionals. If we get this right, we are not just securing existing jobs. We are creating new competitive advantages for our tech sector, good jobs for our professionals, and for Singapore as a regional digital economy hub. I would like to thank CE Cher Pong, CE Dilys, President Bee Kwan, Chairman Nicholas, and President Maxim for leaning forward in this.
Developing the tech leaders Singapore needs
Let me turn briefly to the third element, on how we should continue to attract and develop top tech leadership in Singapore.
If we want Singapore to be an important node in the regional digital economy, we need leaders who can shape global conversations on AI, cybersecurity, and frontier technology. That is why IMDA started the SG Digital Leadership Accelerator in 2022, to grow a strong community of tech leaders based here in Singapore. I am happy to share that we have doubled this community since 2022 and it is now more than 1,600-strong.
And tonight, we welcome into this community a new cohort of 21 SG Digital Leaders who will help drive AI and frontier tech conversations across multinational corporations and start-ups.
Let me give you two examples of the calibre of leaders in this network. Dr Alvin Chan is the founder of Neeuro, driving AI-powered neurotechnology from Singapore and shaping global conversations on AI and frontier technology. Shanice Choo is APAC Innovation Lead at Clifford Chance, one of the world's leading international law firms, where she exemplifies the growing importance of digital leadership beyond the traditional tech sector, reflecting how digital and AI fluency is increasingly shaping conversations in professional services.
This is the kind of leadership Singapore needs more of - professionals who are technically excellent, commercially sharp, globally connected, and anchored here in Singapore.
Closing
Let me close where I began. The disruption ahead of us in the age of AI is real. It will reshape the careers of our professionals, the business models of our tech firms, and the role of in-house IT in every sector of our economy.
None of us has a complete map of where this is heading. But our response cannot be to wait. The tech sector in Singapore has never been a place for those who wait.
If we get this right, if we transform our companies, reskill our professionals, attract top leaders, and build new pathways together – we will create new competitive advantages for Singapore. We will continue to be a place where good tech jobs are created, where ambitious tech firms can build and scale, and where the brightest tech talents in the region want to be.
Thank you very much for your support, and I look forward to all of you playing an important role in shaping the future.