Name: 新加坡大膽推進人工智能：數字部長張約瑟芬談創新和全球領導力 (Singapore’s bold AI push: Digital minister Josephine Teo on innovation and global leadership)
Uploaded: 2025-07-21T18:09:56.000Z
Duration: 30 min

程度副詞

When you have a technology like AI that is potentially so transformative, how can you take full advantage of it?

當你擁有像人工智能這樣具有變革潛力的技術時，如何才能充分利用它？

Does Singapore also need to spend $500 billion on AI infrastructure?

新加坡是否也需要斥資 5000 億美元建設人工智能基礎設施？

I can tell you that a lot of companies are spending that money.

我可以告訴你，很多公司都在花這筆錢。

Singapore has sought to establish itself as a central technology hub in Asia and the wider world through regulatory clarity in many areas to fostering a startup culture.

新加坡一直致力於通過明確許多領域的監管，培育初創企業文化，將自己打造成為亞洲乃至全球的核心技術中心。

But with technology rapidly advancing with a focus on artificial intelligence, can Singapore compete with the US, China and countries in Europe, which are all vying to become leaders?

但是，隨著以人工智能為重點的技術迅速發展，新加坡能否與美國、中國和歐洲各國競爭？

Thankfully, I've got Josephine Teo here to talk about this.

幸好，我請來了約瑟芬-張（Josephine Teo）來談談這個問題。

Josephine is Singapore's Minister for Digital Development and Information.

約瑟芬是新加坡數字發展與信息部部長。

Thanks for joining me today on this special episode of Beyond the Valley recording in front of a live audience here at Converge Live in Singapore.

感謝您參加今天在新加坡 Converge Live 現場觀眾面前錄製的 Beyond the Valley 特別節目。

Josephine, can we just talk about AI, of course?

約瑟芬，我們能談談人工智能嗎？

And from a perspective of yourself, from a government minister, what's the biggest opportunities right now in AI for Singapore and for the rest of the world?

從你自己的角度來看，從政府部長的角度來看，目前人工智能給新加坡和世界其他國家帶來的最大機遇是什麼？

Well, the fundamental duty of any government is to its citizens.

任何政府的基本職責都是對其公民負責。

And in our case, it's a question of how we create more opportunities for our people and for our businesses.

就我們而言，這是一個如何為我們的員工和企業創造更多機會的問題。

So that is very much top of our list of priorities.

So when you have a technology like AI that is potentially so transformative, the key question is, how can you take full advantage of it?

是以，當你擁有像人工智能這樣具有變革潛力的技術時，關鍵的問題是，如何才能充分利用它？

And the starting point has to be, what are your people doing in terms of jobs, in terms of careers?

出發點必須是，你的員工在工作和職業方面都在做什麼？

What kinds of businesses are already here?

And can AI help them to individually, as well as the enterprise level, achieve new peaks of excellence?

人工智能能否幫助他們個人和企業達到新的卓越高峰？

That's really how we're thinking about it.

So the idea that AI serves the public good for Singapore and the world starts from this point.

是以，人工智能為新加坡和世界的公共利益服務的理念就是從這一點出發的。

You want people to have skills so that they can contribute even more to their own businesses, as well as to their employers.

您希望人們掌握技能，從而為自己的企業和僱主做出更大的貢獻。

You want businesses that certainly have to compete very intensely in a global market to find that Singapore gives them an edge.

你希望那些必須在全球市場上激烈競爭的企業發現，新加坡能給他們帶來優勢。

And that's really where all of our efforts are directed towards.

而這正是我們所有努力的方向。

Building up the skills, building up the enterprise capabilities, so that both at the individual, the workforce, as well as the economy level, we can be more competitive together.

提高技能，增強企業能力，這樣無論是在個人、勞動力還是經濟層面，我們都能共同提高競爭力。

We'll dig into skills and safety as part of this discussion.

作為討論的一部分，我們將深入探討技能和安全問題。

But let's start with Singapore, First Minister, because we talk about AI in the world.

但讓我們從新加坡開始吧，第一部長，因為我們談論的是世界上的人工智能。

A lot of the conversation always centers around the US, around China, and the capabilities and companies those two nations have.

很多話題總是圍繞著美國和中國，以及這兩個國家的能力和企業。

A lot of smaller nations are left out of that conversation.

許多小國被排除在這一對話之外。

Even big regions like Europe are left out of that conversation.

甚至像歐洲這樣的大地區也被排除在對話之外。

So when we think about Singapore, how would you assess Singapore's position here in some of these key technologies?

是以，當我們談到新加坡時，您如何評價新加坡在這些關鍵技術領域的地位？

You know, it's a really interesting question, and one that we grappled with around about 2022, 2023, when we were trying to have a rethink of our national AI strategy.

你知道，這是一個非常有趣的問題，大約在 2022 年、2023 年，當我們試圖重新思考我們的國家人工智能戰略時，我們也在努力解決這個問題。

The analogy I'd like to draw is, if you think about our Changi Air Hub, where you are right now, and you think about the fact that we serve close to 40 million passengers a year now, out of a population of not more than, well, not even 6 million, just around that.

我想打的比方是，如果你想想我們現在所在的樟宜航空樞紐，想想我們現在每年為近 4000 萬乘客提供服務，而我們的人口不超過 600 萬，也就在這個數字左右。

How is it possible that you don't even own aircraft technology?

你怎麼可能連飛機技術都不擁有？

There are commercial aircraft manufacturers, Boeing and Airbus.

有波音和空中客車兩家商用飛機制造商。

They are not Singapore companies, but it doesn't prevent us from conceiving of an air hub.

它們不是新加坡公司，但這並不妨礙我們設想建立一個航空樞紐。

You would want to have your own champions.

And I think over the years, we were very fortunate that there were some really excellent people, outstanding efforts to build up a world-class airline like Singapore Airlines.

我認為，多年來，我們非常幸運，有一些非常優秀的人才和傑出的努力，建立了像新加坡航空公司這樣的世界級航空公司。

We've got very good maintenance, repair and overhaul companies based here.

我們這裡有很好的維護、修理和大修公司。

None of these were built up on the basis of Singapore owning aircraft technology.

這些都不是在新加坡擁有飛機技術的基礎上建立起來的。

They were built up on the basis of identifying areas where the value-add could be contributed out of Singapore that made sense commercially to these companies.

這些公司是在確定新加坡可以在哪些領域提供增值服務的基礎上建立起來的，這對這些公司來說具有商業意義。

I think if you adopted that sort of a mindset, the same could apply to AI too.

我認為，如果採用這種思維方式，人工智能也可以適用。

The most sophisticated, the highest-end large-language models may not be developed here, but it doesn't prevent us from working in partnership with these kinds of inventions, these kinds of tools, and create a value proposition that is relevant in our context and also useful to commercial entities.

這裡可能沒有開發出最複雜、最高端的大型語言模型，但這並不妨礙我們與這類發明、這類工具合作，並創造出與我們的情況相關、對商業實體也有用的價值主張。

So many people are looking at AI and how foundational it is.

很多人都在關注人工智能及其基礎性。

Resiliency is a key word that's bandied about when we talk about some of these technologies like AI, semiconductors, the need to have a trustful, secure supply chain.

當我們談論人工智能、半導體等技術時，"彈性 "是一個被廣泛提及的關鍵詞，因為我們需要建立一個可靠、安全的供應鏈。

There are many countries in the world right now saying that means we need to try to either reshore or own a lot of that supply chain.

現在，世界上有許多國家都在說，這意味著我們需要嘗試將大量供應鏈轉移到其他地方或自己擁有。

From Singapore's point of view, you've got a different perspective here.

從新加坡的角度來看，你們有不同的視角。

You're happy to work with a lot of these global partners.

你們很高興能與許多這樣的全球合作伙伴合作。

I think you're spot on in saying that at the heart of it, it's not always to have things that are created and maintained by yourself.

我覺得你說得很對，核心並不總是自己創造和維護的東西。

At the heart of it, your main objective is to be able to achieve resilience.

其核心是，你的主要目標是能夠實現恢復能力。

You want to have options in case something happens that is not favourable.

您希望在發生不利情況時有一些選擇。

And if you want to achieve resilience, there are different ways of doing so.

如果你想實現復原力，可以有不同的方法。

Achieving diversity in terms of how your supplies are obtained, achieving diversity in terms of the technologies that are being deployed, achieving diversity in terms of even the design of various systems that you put in place.

在獲取供應品的方式上實現多樣性，在採用的技術上實現多樣性，甚至在各種系統的設計上實現多樣性。

Those are all contributing towards resilience.

It's not always the case that you have the luxury of owning the entire supply chain or even the most critical components.

你並不總能奢望擁有整個供應鏈，甚至是最關鍵的組成部分。

You've got to be able to look at it and say, what is sensible for you yourself to be able to produce, manufacture or store at least?

你必須能夠審視它，然後說，你自己至少能夠生產、製造或儲存什麼才是合理的？

But what is sensible for you to diversify in terms of getting the supplies?

但是，怎樣才能合理地多樣化獲取物資呢？

It's hard to have a conversation this year about AI without mentioning DeepSeek because of the ripples it had through global markets, but also through the technology sector as well.

今年，在談論人工智能時，很難不提到 DeepSeek，因為它不僅在全球市場，而且在技術領域都產生了巨大的影響。

But what it did show, I think, was the importance of open source and the development of open source technology, which may give smaller nations as well as smaller companies the ability to create real applications.

但我認為，它確實表明了開放源代碼和開發開放源代碼技術的重要性，這可能會讓較小的國家和較小的公司有能力創建真正的應用程序。

One of the conversations I've been having over the past few months was that actually a lot of people in tech think, you know, the models are going to be commoditized and the real value really is in the applications there.

在過去幾個月裡，我一直在討論的一個問題是，其實很多科技界人士都認為，你知道，模型將會被商品化，而真正的價值在於應用。

And almost what DeepSeek and other open source models are giving is a chance for companies and countries to create valuable applications.

而 DeepSeek 和其他開源模式所提供的幾乎就是一個讓公司和國家創造有價值應用的機會。

So how do you view what's happening in open source right now and what it means for the development of, say, some of these AI applications within Singapore?

那麼，您如何看待開源領域目前發生的事情，以及它對新加坡開發人工智能應用的意義？

One of the concerns we had, you know, two to three years ago was to what extent the AI hype would actually translate into real benefits in the business context.

兩三年前，我們擔心的一個問題是，人工智能的炒作能在多大程度上真正轉化為商業利益。

And as we interacted with a whole range of industries as well as companies of different sizes, operating in different sectors, facing different challenges, one very common theme was AI is still super expensive to use.

在我們與各行各業、不同規模、不同領域、面臨不同挑戰的公司互動時，一個非常普遍的主題是，人工智能的使用成本仍然超級昂貴。

So if we did the cost-benefit analysis, yes, we are very interested in the potential that AI can bring.

是以，如果我們進行成本效益分析，是的，我們對人工智能帶來的潛力非常感興趣。

But the amount of money that we have to put into developing the use of these AI tools, because it's not just always so easy to buy off the shelf and you can implement it.

但是，我們必須投入大量資金來開發這些人工智能工具的使用，因為它並不總是那麼容易買到現成的就能實現的。

You may have to make some adjustments within your own organizations.

您可能需要在自己的組織內部做出一些調整。

The companies told us that it was still very costly for them to do so.

這些公司告訴我們，這樣做的成本仍然很高。

What's consistently the feedback in today's context with the introduction of DeepSeek is that now the cost considerations have become quite different.

在今天的背景下，DeepSeek 的推出所帶來的一致反饋是，現在對成本的考慮已變得截然不同。

And from that perspective, in terms of being able to promote AI adoption and boost the development of AI ecosystems in many more different contexts, I think it's very exciting.

從這個角度來看，能夠促進人工智能的應用，推動人工智能生態系統在更多不同背景下的發展，我認為這是非常令人興奮的。

And we see this happening not just within the government in terms of how we are hoping to use AI tools to improve public service delivery.

我們不僅在政府內部看到這種情況，還看到我們希望如何利用人工智能工具來改善公共服務的提供。

We see this amongst the various industries that are operating here, whether it is in finance, it is in healthcare, it's in transport, logistics.

我們在這裡的各行各業都能看到這一點，無論是金融業、醫療保健業，還是運輸和物流業。

The enthusiasm, I think, just went up because the cost considerations have become more favorable.

我認為，這種熱情之所以高漲，是因為成本因素變得更加有利。

I think, you know, $500 billion Stargate project in the US.

我想，你知道的，美國 5000 億美元的星際之門項目。

Recently, we had France with a roughly 100 billion euro investment in infrastructure as well.

最近，法國也在基礎設施方面投資了大約 1000 億歐元。

Are these countries spending too much then?

那麼，這些國家是否花費太多？

I think if, you know, you fast forward 100 years and you say, what's happening today?

我想，如果，你知道，你快進 100 年，你說，今天發生了什麼？

I think it's very hard to say that it will be too much, okay?

我覺得很難說會不會太多，好嗎？

But these things, you know, they happen in cycles.

但這些事情，你知道，都是循環發生的。

In certain points in time, you may have gone ahead of the demand and find yourself with overcapacity.

在某些時候，你可能已經超越了需求，發現自己產能過剩。

This happens in many other industries and sectors too.

這種情況也發生在許多其他行業和部門。

So I wouldn't be overly surprised if it happens.

所以，如果真的發生了，我也不會感到太驚訝。

But the long-term trajectory does suggest that the needs are going to grow.

但從長期發展軌跡來看，需求確實會增長。

And if you look at the Singapore context, in terms of our data center capacity relative to our GDP, relative to our population, it's already one of the most dense in the whole of Asia.

如果你看看新加坡的情況，就我們的數據中心容量與國內生產總值和人口相比，它已經是整個亞洲最密集的數據中心之一。

And even with that sort of build-up, we're still looking at creating more headroom because if you want to be able to host the most sophisticated users of AI, latency does matter.

即使有了這樣的積累，我們仍在努力創造更多的空間，因為如果你想讓最複雜的人工智能用戶享受到更好的服務，延遲確實很重要。

Some of the AI workloads cannot be so easily configured out of, you know, the geographical location.

有些人工智能工作負載由於地理位置的原因，無法輕易進行配置。

So even if you developed a very robust and extensive network of data centers in our part of the world, where the activity is most concentrated, you will still need to have the compute capacity.

是以，即使你在活動最集中的我們這個地區開發了一個非常強大和廣泛的數據中心網絡，你仍然需要擁有計算能力。

So does Singapore also need to spend $500 billion on AI infrastructure?

那麼，新加坡是否也需要斥資 5000 億美元建設人工智能基礎設施呢？

我想我是和前美國總統奧巴馬在一起。

Secretary of Commerce, Ms. Gina Raimondo, when she was here.

商務部長吉娜-雷蒙多（Gina Raimondo）女士在這裡的時候。

I'm thinking it's maybe September or October last year, and we were trying to put together what the investments were like.

我想應該是去年的 9 月或 10 月，我們當時正試圖把投資情況整理出來。

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新加坡大膽推進人工智能：數字部長張約瑟芬談創新和全球領導力 (Singapore’s bold AI push: Digital minister Josephine Teo on innovation and global leadership)

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