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It is now my pleasure to introduce to you someone who you can already see,

someone very special, one of the most influential figures in tech.

He has co -founded NVIDIA in 1993, led it ever since, built it into the most valuable company in the world.

Last time I checked, right?

More than 5 trillion, not billion, trillion US dollars.

And along the way, he has earned a reputation as a kind of rock star of tech, not only because of his trademark leather jacket,

but because wherever he goes, crowds gather and are waiting for an autograph or a selfie.

We might just be so lucky tonight, Mr. Chancellor.

And I do hope you don't take this as a prompt.

Don't rush the stage.

But please give a very warm welcome to Jensen Huang.

Welcome to Germany.

I can see you're already getting comfortable for our fireside chat.

Also a bartender.

Well, Chancellor, if you could swap jobs with Jensen for just a day, what would you do first, you think?

Oh, that's a great idea to swap the jobs.

Would you like to go there?

No. Well.

Thank you.

I give you my answer.

I rather would put my leather jacket on.

I would take a flight to Berlin.

I would like to see the German Chancellor.

And I would tell him I'm ready to invest.

Well, that's exactly what I'm doing.

I think we could arrange a meeting.

No nobody has invested more in Germany.

Thank you for that.

We are really grateful.

Thank you for doing this.

And this is a great signal for our country.

Thank you.

You know NVIDIA story and Germany story played a very large role.

In fact in the year 2000 NVIDIA was a consumer oriented technology.

We were only building for PC gaming.

And it was a company in Germany, Elsa, that partnership led us into workstations, which led us into all of the car companies.

And today, we work with the car companies from styling, design, engineering, simulation, manufacturing, all the way out to the cars.

It was in 2005 that

Audi brought us into the car industry, inside the car.

And it was 2023.

Was it 2023?

2020?

Yeah, 2020 that OLA and I established a partnership to build autonomous vehicles.

And so Germany and NVIDIA has been very close for a long time.

I think I already heard that you wouldn't like to swap jobs.

So I won't even get there asking you what you would do as a chancellor.

We let you be you for now and I suspect you can already picture things that we might not even imagine yet.

So take us into an engineering office or a factory of the future.

What do you see?

What is this going to look like?

Oh, that's interesting.

In fact, the factory, every single company in the future will have two factories.

The factory that is real and the factory that is digital.

And the factory that is digital will be so real, it might as be real.

If it manifests itself when you create the digital twin of your company, of your car company, that digital twin might as well be real.

And so in the future, I believe that most people here in Germany will mostly work inside a digital twin of their company.

They will build digital cars.

Those cars will have digital brains.

The manufacturing, the factories will have digital, of course, artificial intelligence robots,

building inside a robotic factory, building cars that will be robotic.

And everything will be completely software driven.

Everything will be completely AI driven.

So every company will build two things.

They will build brains and the brains that go into the products that they ship.

Fascinating.

Yeah, it's going to be cool.

Chancellor, of course the ambition is to bring AI into everyday use across German industry from large manufacturers,

Mittelstand to also smaller firms.

Could you perhaps share a few concrete examples of how you

and the German government are ensuring that this widespread deployment is actually taking place?

Sure.

First of all, I would like to say

that I'm really impressed what NVIDIA and German companies are already doing in this country.

Ola Kelenius just handed out a model from the new S -Class of Mercedes to me,

promising that this car will be autonomous driving in Germany by the end of this year.

Safest and the most autonomous.

So this is happening in Germany.

So we are in the government,

we are fully committed to be one of the most advanced places in the world, not just in the European Union,

but in the world to work with AI, to integrate AI into our industry.

And one of the biggest, if not the biggest advantage we have in Germany is our so -called Mittelstand.

And I'm very happy to see that we are having here tonight many smaller and medium -sized companies from Germany.

Please open your doors for AI to make use of your data.

This is so decisive for the German future this is a real secret

and a real advantage for Germany to use to make use of all the data which are already available in our companies.

And if we could combine this AI with companies like yours and our companies in Germany, the big ones, but also the so -called Mittelstand,

I'm really optimistic that we will be one of the leading

if not the leading country in the world in terms of spread AI for all the companies of our manufacturers,

machinery, automotive industry, supplies of automotive industry.

I think this is a great opportunity and I'm decided to meet that.

Yeah, you're absolutely right.

So first of all, the data of Germany is part of your natural resources.

It belongs to the nation.

The data of your digital experience, or otherwise known as data, The data of your country is your culture,

your values, your knowledge, your experience.

It's your natural resource.

It belongs to the nation.

And you're absolutely right that you should import the technology to harvest that data and turn it into your national intelligence.

But you should not export your culture, export your values, export your knowledge,

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export your history, and then import German intelligence back.

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Makes no sense.

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So that's number one.

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And so you have every, you're going to, of course, use the best AI technology available in the world and AI services in the world.

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But you have every capability to build your own AI.

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So that's number one.

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The second is the next wave of AI is physical AI.

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This is where AI interacts with the physical world.

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Robotics, manufacturing, cars, heavy industry.

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That will never be replaced by digital technology.

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The work that you know belongs, that knowledge belongs to you.

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The expertise of your domain, that belongs to you.

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Artificial general intelligence will never replace domain expertise.

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You could be as smart of a general intelligence as you want.

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You will never be as smart as somebody who is very,

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very specialized in a particular field of electromechanical technology.

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It cannot be replaced.

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And so AI can only augment your capability.

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It will not replace your capability.

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So take advantage of the technology.

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It's a new instrument.

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As for some of these advantages, Jensen, we have on the one hand decades of industrial data.

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We have very skilled labor, if you like.

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We have the engineering expertise.

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So this certainly, as you seem to point out, speaks for a lot of advantages for Germany.

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You have a global perspective, however.

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There are other countries that also have strengths, that also like to take advantage of their strengths.

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You talk to so many governments across the globe, to so many companies across the world.

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If you take this global perspective,

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how is Germany braced for this sort of next race in AI?

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As you know, the last major industrial revolution was electrification.

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before the one I'll describe.

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Electrification resulted in really three geographical leaders.

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Germany, United States, Japan.

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For the last 50 years, because of the current industrial revolution, which is computing and digital technology,

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The United States has largely exported its heavy manufacturing,

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its building, its craft, really to China.

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So now the world has three again.

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But it's Germany, Japan, and China.

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The advantage that

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China has is that they came into their industrial revolution,

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if you will, their economic transformation happened during precisely the time of the computer industry.

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They are quite computerized.

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China is probably the only nation today that is deep in manufacturing and deep in computer science and very comfortable in both.

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Well, the good news is there's a complete reset.

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The last 50 years was about software programming.

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United States is obviously world -class.

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But there's a new era now.

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The computer programs itself.

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You just have to show the computer what you want.

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Computer programming, all of the advantages of the last generation, has now been accrued into artificial intelligence

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there's a complete reset all the digital technology in the world

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will not replace electro mechanical physical technology electrons will never replace atoms

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and that's an advantage

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that you have the work you know the domain expertise you have the craft

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that is here it will remain here but you have to take advantage of this new technology.

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This industrial revolution is so mighty, is so powerful, you don't have another chance.

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Because you always, yeah.

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Whether we have another chance or not, we should always assume we don't this transition is

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so important you should combine your deep skills your deep expertise in the physical products in the electromechanical products

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and combine it with artificial intelligence I would not be surprised

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if currently most of the middle sides their challenges are reduction in labor

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because people are getting old the craft of

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that is captured in the knowledge the skills of the people are still are starting to get older

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and older every generation take advantage of artificial intelligence let them codify let them program let them teach

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this artificial intelligence and keep it here in germany right and let it re -engineer the chancellor's words

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Chancellor's words re -engineer Germany.

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This is your chance to do it.

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Well.

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I think it's become obvious prerequisites to scale industrial AI in Germany are here

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and they are very promising and the opportunities related to it are impressive.

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It will be key, of course, Chancellor, to bridge the gap between innovation and implementation in factories and in value chains.

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Is a cooperation with NVIDIA a part of the plan to do so?

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Yeah, sure.

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And this is already happening.

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And I would like to say

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that I'm extremely grateful about what we have just heard from this business leader of the world in terms of AI.

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So you are giving me and hopefully us a great optimism about our business model in Germany.

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And you might know that I'm always insisting that we have to remain a country with manufacturing.

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And we should never give up that.

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And now we are seeing a great opportunity in combining our experiences with manufacturing and AI.

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So if we are successful in bringing these two

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I'm really very optimistic that Germany can be one of the most successful economies in the world.

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Because we are already, we are still the third biggest economy in the world.

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So thank you for telling us what the opportunity is and comparing us with others.

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And I believe and I share your view

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that the Americans made a big mistake in the world mistake to export their manufacturing.

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And now they are faced with a very small successful but very small base industry.

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And this is our advantage to have this broader access and broader approach to the future of our industry.

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And look I'm a large American company and and we have incredible partnerships here in Germany for good reason.

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It's good for us.

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It's good for us.

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Our partnership with Audi led to our partnership with Mercedes.

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Our partnership with Mercedes led to our investment in robotics which led to our partnership with agile robots.

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We just made an investment in them.

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We made an investment.

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Avelio's made an investment in Murilla made an investment in in reflex aerospace.

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Last year we made investment in black forest labs.

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Here in Germany you have deep science and technology and deep science

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and math which are the fundamentals for manufacturing for the deep sciences for artificial intelligence.

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And so there's so much there's so much technical expertise and there's so much deep science and deep math.

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The one thing that you said also is

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that you believed in a policy of advancing and encouraging AI startups or startups in general.

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I think that's fantastic.

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One of the things that I really love about the United States, of course, is that we constantly reinvigorate,

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we constantly reinvent ourselves, and the way we do that is through all the entrepreneurs.

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And so one of the things that I really love to see, we've invested tremendously in Germany.

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In the last year, we've invested almost a billion dollars.

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This week, we're investing in four new companies.

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And so in a lot of ways, we are one of the largest VCs in Germany, because I believe in Germany.

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And so for all of the other venture capitalists,

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you better hurry, because otherwise I'm going to take all the good deals and I'm going to be rich.

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And so the The important thing is

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that the thing I want to recognize is that the science and technology capability of Germany is just second to none.

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We have a thousand employees here.

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We have a fantastic office here in Berlin.

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Some of the fundamental inventions of our companies came from our office here in Berlin in Germany.

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And so this is you want to invest here.

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Incredible people.

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May I ask a question?

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Could you give us an advice on regulation?

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We are having a very strong debate in Brussels on the European level compared to the US.

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What is the best way to regulate this industry or this new technology?

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I think we agree on no regulation is not the right answer.

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Too tight regulation is not the right answer either.

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But what is from your view the right answer in terms of keeping the potential damage in mind

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that this could happen and already happened.

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So what is your advice on regulation?

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What can we do better than others?

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Safety is paramount.

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There is no future for this industry without safe products.

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Just as there is no future in autonomous vehicles if the vehicles are not safe.

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And so it is not a choice.

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You don't choose between safety and capability.

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They are one.

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They have to go together.

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And so three pillars.

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The first is you can't regulate if there's no technology.

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So the technology industry must invent the technology for safety.

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Just as Ola and I had to invent the technology and we have the safest autonomous vehicle in the car, in the world.

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We had to invent the technology that allows you to achieve.

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The functionality you want to see but also the guarantee of functional safety and active safety we want to deliver.

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And so that requires invention of technology.

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That's the first pillar.

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But that's something that Germany is incredibly good at.

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Your science, your math, your technology is incredibly good.

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You have to invent the technology of safety.

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Safety is not hopes and dreams.

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Safety is technology and engineering.

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Second, the companies need to have best practices.

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Sometimes the young companies, they're still trying to grow up and they make maybe more mistakes than they should.

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We need to make sure that companies make, deliver on the best practices, best methods, and even in safety,

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as many of the people in the audience, there are probably many in the automotive industry, you know that safety is deep methodology,

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deep best practices, deep engineering.

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And that methodology has to be adhered to.

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And then lastly, there's industrial and government regulations.

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If it turns out that, and remember AI is two things.

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Just as the internet, regulating the internet is hard, but regulating internet applications is not so hard.

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We should be regulating the applications right away.

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And so if there are AI technologies

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that you see that's being applied to a new type of product that is not covered by the existing regulatory bodies,

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they have to evaluate as soon as possible and make sure that their regulation includes AI.

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And so I would and I think I've also heard you say

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that you want to find that balance between innovation and regulation.

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There's nothing to regulate if the industry doesn't thrive.

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You want the German AI industry to thrive as well as do it safely responsibly.

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So I think I think the balance is really important to do.

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And so I think that the answer is we know there's technology we can invent

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and deploy in order to have AI safety.

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We know that there are best practices that we can adhere to as companies and industries.

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And then in addition to that, if necessary, we'll make sure we regulate.

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Just briefly, Chancellor, what would be your answer to the same question?

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Maybe very briefly.

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No, thank you.

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This was extremely helpful because we are talking about that on the European level.

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We are talking that on the national level and my approach is

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that we at least need the European level

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and better we have a global level of regulation and of safety for this fantastic new technology.

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So this is my personal view, but we are still far from that because we are having a different approach between the Americans and the Europeans.

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But we are working on that and most in this room know

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that I was successful to get the AI regulation out of the normal regulation of AI in the European Union

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and to have a special regulation for the machinery industry in Germany

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and not being part of the general AI limitation and regulation.

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So this was a quick achievement which we had.

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Give Germany a chance.

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Yeah.

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Give this industry a chance to.

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Yeah.

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And just finally, very, very briefly, Chancellor, if Jensen came back in a year's time, which we very much hope,

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what would you hope for him to see?

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I would like to see him regularly.

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Let's say at least once a year and discussing progresses we made

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and seeing a guy sitting in my office and being extremely happy about the German investment place.

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nothing would give me more joy than to see all of my investments in Germany turn into gold.

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Okay, so I have every belief and I'm very,

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very happy to hear your personal support of the startup ecosystem.

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I'm very happy to hear

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that there are regulations involved to make it possible for the pension funds

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and the and the risk capital the risk capital to come into Germany

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and then and then I'm also I'm also super excited to hear about all of the AI startups

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and the startups

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that have happened in the last couple of years half of

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the startups in Germany being founded in the last two years is AI yeah

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that's terrific that's oriented yeah that's who knows maybe you are gonna ask them for some autographs next year.

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You might want to bring a pen when you come.

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Once they have their breakthroughs, some of them, I understand, were your interns in the past, and now they run their own companies.

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It's been a pleasure to have you here.

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Thank you to both of you, ladies and gentlemen.

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Please give an applause to Chancellor Merz and Jensen Hwang.

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Thank you so much.

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It was great to have you.

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Thank you.

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Thank you for having me.

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What an upbeat, promising start.

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Thank you very much.

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Thank you.

316

Well, ladies and gentlemen, you may now notice a little movement, but this evening is of course far from over.

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Members of the press are about to leave us now.

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This may take a couple of minutes.

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이 레슨의 어휘와 말하기 포인트

이 말하기 레슨은 영상 “實戰練英文｜黃仁勳：你們要加油，不然我會拿走所有機會，然後我會變很有錢｜德國沒有下一個機會了｜投資德國高峰會｜長文、註解、大字版、中英對照”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: germany, technology, industry, companies. 이 영상에는 섀도잉할 문장 317개와 단어 3380개가 있습니다. 말하는 구간의 길이는 25:38입니다. 화자는 분당 약 132단어의 일정한 속도로 말해서 섀도잉하기에 편한 속도입니다. 단어의 86%가 영어에서 가장 많이 쓰이는 3,000단어에 속합니다. 나머지는 연습 전에 미리 확인해 두세요.

이 영상의 핵심 어휘

영상에 나오는 익혀 둘 만한 단어 15개를 발음, 뜻과 함께 정리했습니다.

단어	발음	뜻
regulation 명사	/ˌɹɛɡjʊˈleɪʃən/	규칙
chancellor 명사	/ˈt͡ʃænsələ/	수상, 재상
partnership 명사	/ˈpɑɹtnɚʃɪp/	파트너십
artificial 형용사	/ˌɑː.tɪˈfɪʃ.əl/	인공, 인조
regulate 동사	/ˈɹɛɡ.jə.leɪt/	규정하다
export 명사	/ˈɛks.pɔɹt/	수출품
belong 동사	/bɪˈlɒŋ/	속하다
autonomous 형용사	/ɔˈtɑnəməs/	자치, 자주적
invent 동사	/ɪnˈvɛnt/	발명하다
combine 동사	/kəmˈbaɪn/	조합하다, 결합하다
twin 명사	/twɪn/	쌍둥이, 갈오기
mathematics 명사	/mæθ(.ə)ˈmæt.ɪks/	수학
swap 동사	/ˈswɑp/	교환하다
grateful 형용사	/ˈɡɹeɪtf(ə)l/	감사하다, 고맙다
leather 명사	/ˈlɛðɚ/	가죽, 피혁

영상에 나오는 구동사

단어	뜻
give up 동사	항복하다
point out 동사	가리키다

따라 말해 볼 만한 문장

영상에 나오는 짧고 완결된 문장으로, 일상 대화에서 그대로 쓸 수 있습니다:

Would you like to go there?
What do you see?
May I ask a question?
Could you give us an advice on regulation?
What can we do better than others?

이 영상의 문법

화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.

문형	영상 속 표현
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때	has earned · has invested · has been
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점	be replaced · cannot be replaced · been accrued
관계절 who / which + 절 — 사람이나 사물에 대한 추가 정보	someone who you · data which are · somebody who is

주의할 발음

화자는 I'm, don't, you're 같은 축약형과 약화된 형태를 37번 사용합니다. 들리는 대로 짧게 발음하세요.

“th” 소리: mathematics /mæθ(.ə)ˈmæt.ɪks/, leather /ˈlɛðɚ/, methodology /ˌmɛθ.əˈdɑ.lə.d͡ʒi/, thrive /θɹajv/, gather /ˈɡæðɚ/
“sh”와 “zh” 소리: regulation /ˌɹɛɡjʊˈleɪʃən/, partnership /ˈpɑɹtnɚʃɪp/, artificial /ˌɑː.tɪˈfɪʃ.əl/, innovation /ˌɪn.əˈveɪ.ʃən/, invention /ɪnˈvɛnʃən/
긴 단어 — 강세 위치에 주의: regulation /ˌɹɛɡjʊˈleɪʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, autonomous /ɔˈtɑnəməs/, mathematics /mæθ(.ə)ˈmæt.ɪks/

한국어 화자가 어려워하는 소리:

/f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: artificial /ˌɑː.tɪˈfɪʃ.əl/, craft /ˈkɹæft/, briefly /ˈbɹiːfli/, grateful /ˈɡɹeɪtf(ə)l/, fundamental /ˌfʌn.dəˈmɛn.təl/
/v/ — ㅂ(/b/)과 구별하기: invest /ɪnˈvɛst/, invent /ɪnˈvɛnt/, automotive /ˌɔtəˈmoʊtɪv/, innovation /ˌɪn.əˈveɪ.ʃən/, invention /ɪnˈvɛnʃən/
/z/ — ㅈ이 아니라 성대를 울리는 /s/: expertise /ˌɛkspɜːˈtiːz/, transition /tɹænˈzɪʃ.ən/, resource /ɹɪˈzɔːs/, applause /əˈplɔːz/, optimism /ˈɑptɪmɪzəm/

이 영상으로 연습하는 방법

먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
보통 속도로 한 문장씩 섀도잉하고, 화자의 리듬과 맞을 때까지 반복합니다.
자신의 목소리를 녹음해 원본과 비교하고, regulation, chancellor, partnership 같은 단어에 특히 주의합니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

섀도잉 방법: 단계별 전체 가이드 읽기 →

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쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법