쉐도잉 연습: Why AI won't make you rich in 2026 - 영상으로 영어 말하기 배우기

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In this video, I'm going to make a case against AI
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and more specifically why more people are not making money despite using AI a lot
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and token maxing and vibe coding and making all these apps and all that stuff.
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And so the big misconception I think around AI is that AI somehow canceled every other form of leverage.
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And if you're new to the channel, leverage just means the difference in what you put in and what you get out.
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If you have a lot of leverage, you put a little bit in, you get a lot out.
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If you have low leverage, then you put a lot in, you get a little bit out.
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So AI introduces high leverage, which is great.
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But the thing is, is that there's a lot of things that create leverage.
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And so this whole misconception around like, oh, we must only use AI in order to succeed, taken differently, businesses right now who are using AI
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and individuals who are using AI and they're seeing their token bills go up are somehow not making more money.
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And so what I find kind of interesting is a couple of things.
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So number one, when I look at our business, we now have had another kind of step increase in our revenue.
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But it's not because of AI.
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That's the thing.
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It's not because of AI.
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If AI didn't exist, we still would have had the increase.
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And so it's not like a direct line there.
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The second kind of proof point that I think is more interesting around this, and then I'll give you some tactics, is that I talked to a number of my wealthiest, oldest friends over the last week or two.
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and I said listen I know you need to have public
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appearances saying of course we're you know I'm a super AI advocate
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because you have to do that um
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but I said how much are you actually using AI every day
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and like they kind of like look around
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and they're like dude I'm not using AI
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and I was like well your teams are
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and he's like oh yeah of course you know of course
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you know they're like of course our teams are using it
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and I'm bringing people in and we're training the team up
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and all that kind of stuff and I was like
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but you're not using it and they're like no no I'm not
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and I was like so that's very interesting to me and
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so this is the thought that i i kind of want to challenge you with
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and i'll leave some tactics at the end
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which is there are a lot of forms of leverage
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and many forms of leverage are multiplicative so for example capital still has tremendous leverage
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ai coming in didn't somehow erase the leverage that capital uses
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if you are in media and you make a video like this
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and thousands of people see it or millions of people see it
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that is tremendous leverage right ai doesn't erase that um and
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when you multiply some of these together let's say you have capital
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and you have media
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and maybe you have teams right people still create leverage for other people um i do find it ironic
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that like these the frontier labs
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that have all this ai still have thousands of employees and
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so it's just like kind of interesting as a counterpoint of like well people are still being you know needed
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and useful But the thought of it is this,
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is that I'm seeing so many business owners trying to AI max and because their capacity to work has increased using AI,
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they are now doing things they otherwise would not have done if they didn't have AI.
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But the thing is, those things that they otherwise wouldn't have done were lower priorities.
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And so now they're doing things that were less important, faster and automated.
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Great.
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Not great.
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Doesn't matter.
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That's my point.
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um and so one of the interesting things about not having ai is
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that it forces you to prioritize better it focuses you to focus on the things
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that are going to move the needle in the business
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and i'm not seeing with an exclusion of like just a handful of exceptions um most ai use cases
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that i've seen um are not actually making the business a ton more money i think
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that having you know way more ad creative, I think for sure is helpful from, from, from an advertising perspective.
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We have an AI sales rep, which has been helpful, but the thing is just like the AI sales rep is great, but like, I also know how to build sales teams.
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So it's not like this, you know what I'm saying?
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Like, it's like, it's, it's more efficient, you know, and it scales, but it's, it's typically not the limiter of the business.
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And this is my point is that the constraint of the business, many business constraints, at least to this, at this point are not still as perfectly solvable with AI,
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and if they were, then everybody would be making a ton more money.
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This is kind of like the crux of this, which is, let me give you some other examples of leverage
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that people are just not employing that you don't need any tech expertise to do.
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If you have a one-on-one business, you can go to one-on, you know, one-to-one-to-many.
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It's like that would create a lot of leverage, even one-to-small group.
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It's if you want one-on-one to one-on-ten, you have 10x leverage.
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Like, just like that, with that one decision, right?
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If you go from having scheduled appointments with clients to asynchronous appointments with clients, it's like that gives you a tremendous it's increasing leverage in terms of how many people you need from a deliverable perspective.
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If you change your sales motion so that a higher percentage of people buy, and so instead of needing 10 salespeople,
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you need two, and they close the same amount because you've basically educated your prospects throughout the sales process more fully, so they need less information to make the decision,
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which means you have fewer conversations and shorter conversations for your sales reps, and they talk to more qualified customers.
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Then as a result, you can take what used to take 10 people, and you can funnel it to two.
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None of that uses AI.
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This is my point, is that there's
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so many places in a business where you can increase leverage
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that there's this fallacy that because I now have this infinite tool and I'll use infinite with quotes here.
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I'm just seeing a lot of people using not making more money.
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That's kind of my point.
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And so it's this idea that we can throw away the fundamentals of business, but that's not true.
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Like you have to, one is you want to use every form of leverage
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that you have at your disposal to solve the constraint of the business.
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If you don't know what the constraint of the business is
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you're just doing more shit automated does not make you more money
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and i think this was the conversation that i was having
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because i'll tell you the the highest leverage thing
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that you can do even higher leverage than ai ready for it making good decisions
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think about it if i if i have my whole team
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and i say hey guys we're actually not going to do this whole bunch of work over here
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because i don't think it's important anymore by doing that i get
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so much more out of my team like i it is more efficient for me to determine
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that something is not a priority than for me to automate something
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that is not a priority that was good that's pretty good.
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That is higher leverage.
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And so I will get more out of this resource that I have, my team, than if I just try and automate it and then create an output that is irrelevant.
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And so this is what I'm saying.
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And so I think quality still matters.
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AI is not there for a lot of things.
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There's obviously use cases and we're, you know, I would say very early and very aggressive adopters of AI across the business.
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But when I look at the business overall, the things that are growing it are the things that have always grown it, right?
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We need to generate more demand.
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We need to convert a higher percentage of that demand.
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And we need to create, we need to deliver, you know, very high quality stuff.
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And right now AI can help, but it's like having like access to a lot of, it's actually, you know, it's actually probably a really good analogy.
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A lot of, it's almost like access to a lot of virtual assistants like
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third world virtual assistants that's what in some ways right now a lot of the use cases are like
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that I'm not saying it's a perfect analogy
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but like there's a lot of through lines there which is that's always been there
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and to be fair I think virtual assistants right now sometimes are even cheaper than the AI token usage um
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but that's always been there and businesses have still competed
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that didn't them or did have them and it's still the same marketplace
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and there's still high quality and there's still people with good brands
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and there's still great offers and bad offers like
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if you have a terrible offer then ai on the back
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is not going to help you now you can say i'm
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going to use ai to improve my offer maybe maybe not i don't know um
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and so anyways that is my that is my public service announcement
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which is that ai though it increases leverage does not cancel other forms of leverage.
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And for most people, they're using it on things to be more distracted because they have more resources now.
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They are still making poor decisions about how to allocate those resources.
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And as a result, thing three, are not making more money just because they have AI.
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And so I would ask yourself this question, which is, has implementing AI in my business made me more money?
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If it hasn't, then you are likely using it in the wrong place, which means that you need to return to the thing that matters most,
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which is identifying your true constraint and then forcing all of your very limited.
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And I say that for myself included, all businesses compared to the resources available in the world.
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Every one of us has like a speck of resources available to us.
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And so we have that tiny speck and our ability to focus
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that tiny speck of resource on the one thing that's going to move the needle, our skill at being able to do that is the thing that will ultimately make you more money,
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even more than AI.
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AI is just a tool.
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It's not the answer.
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So anyways, that is my two cents for the day.
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I hope you like my very impromptu style.
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If you hate it, you can let me know too.
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Anyways, lots of love.
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If you liked this video and your business owner who wants to break through your current revenue ceiling, I distilled every lesson from scaling 10 businesses past 10 million
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and three businesses past 100 million into a completely free scaling roadmap that I've used to go from 0 to 1, 0 to 10, and 0 to 100 plus.
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And so you can click here and you can check it out.
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Again, absolutely free.
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And since you're a business owner, appreciate you and enjoy.

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이번 수업에서 배울 내용

이번에는 "Why AI won't make you rich in 2026"이라는 유튜브 영어 공부 영상을 활용해, AI와 부와의 관계에 관한 논의를 통해 영어 듣기와 말하기 실력을 동시에 키울 거예요. 특히 비즈니스 용어와 논리적인 표현을 연습하며, IELTS 스피킹에도 유용한 자연스러운 발화 패턴을 익힐 수 있습니다. shadowspeak 기술을 사용해 발음과 리듬을 따라하기 쉬운 부분부터 집중적으로 연습해 보세요!

핵심 어휘 & 표현

  • Leverage: (비즈니스에서) 투입 대비 산출의 비율, "고수익을 내기 위해 leverage를 높이는 방법을 찾아야 해"
  • Token bills: AI 사용 시 발생하는 비용, "AI를 너무 많이 사용하면 token bills가 폭발적으로 증가해요"
  • Multiplicative: 상호 작용하여 효과가 배가되는, "자본과 미디어의 결합은 multiplicative한 효과를 냅니다"
  • Low priorities: 낮은 우선순위, "AI로 할 수 있지만 low priorities인 일은 내일로 미뤄요"
  • Vibe coding: 감정이나 분위기를 담은 코딩, "vibe coding은 사용자 경험을 높이지만 수익과 직접적인 연관이 없어요"

연습 팁 (Shadowing 전용)

이 영상은 말하는 속도가 중간 정도이고, 논리적인 설명이 많아서 shadow speak 연습에 적합해요. 다음과 같이 해보세요: 1) 처음에는 10초씩 멈추며 정확히 발음을 따라하세요. 특히 "leverage"나 "multiplicative"와 같은 긴 단어의重音(강세)를 주의깊게 듣고 따라하세요. 2) 영상에서 말하는 사람의 어조 변화를 관찰하세요. "But the thing is"와 같은 전환 구절에서는 어조가 살짝 높아지는 것을 느낄 수 있어요. 3) shadowspeaks 기술을 사용해 자신의 목소리를 녹음하고 원본과 비교해 보세요. 리듬과 패턴이 일치하는지 확인하며 점차 속도를 높여가세요. 이렇게 연습하면 1주일 만에 자연스러운 영어 발화 능력이 크게 향상될 거예요!

이 영상의 문법

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

문형영상 속 표현
“used to” used to + 동사 — 지금은 아닌 과거의 습관이나 상태used to take · used to go
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때have had · has increased · i've seen
관계절 who / which + 절 — 사람이나 사물에 대한 추가 정보leverage, which is · rep, which has · this, which is

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.

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