쉐도잉 연습: My Wharton MBA is Useless in This Market - 영상으로 영어 말하기 배우기

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My Wharton degree was not enough to land a single offer in 2025.

This was a sh show.

32 ,000 jobs were lost last month.

32 ,000 jobs were lost in that private sector in November.

Job growth is hovering around zero, essentially.

The government says we added 119 ,000 jobs last month.

LinkedIn says there's basically one posting for one job seeker.

So why did I spend $180 on LinkedIn Premium to compete against 847 people for jobs I'm overqualified for

and still can't get an interview?

If you're in your late 20s or 30s, you have a good resume, you checked all the boxes, and you're still getting ghosted and auto -rejected,

then this video is for you.

There are two realities that we're seeing.

If you look at the headlines, the story is, Jobs are being added.

Unemployment is low.

The economy is resilient end.

On the flip side, if you look at your inbox, the story is I have a Wharton MBA,

I have recognizable logos, I thought I did everything right, but I can't even get a human to look at my resume.

Those are two realities coexisting in this market.

And if you feel like you're going crazy trying to make the sense of these two realities, you're not alone.

You're not imagining it and you're not overreacting.

On paper, you look fine.

You might be doing some freelance or part -time work.

But in practice, you are stuck in limbo, unable to access the opportunities that you know you could crush.

If we haven't met before, hello, this is Yujin.

I'm a management consultant based in Boston.

Today, let's talk about three things.

First, why is this happening?

Second, where you actually sit in the job market map?

And third, what you can start doing now so that 2026 will feel very different.

Let me start with my own little horror story.

LinkedIn premium.

So I paid $30 a month for nearly six months.

That's $180 to buy front row tickets to my own rejection.

Every week I watched in real time 300 applicants, 600 applicants, 1 ,847 applicants.

For roles where descriptions might as well have been copy pasted for my resume.

I felt like I was a really good fit

And still, no response or an odd rejection email on Saturday at 4am.

I know that no one's actually looking at my resume at that time.

At this point, I was starting to feel glad when I got a rejection email.

At least someone or something triggered it to say something, not just ghosting in silence.

One night, I was coming back from the Boston airport past 1am

and staring at my resume at the back of an Uber.

Mr. GPT said that my ATS score for my resumes was 98%.

I was using the right keywords, dropping in brand name schools, promotions, numbers like 19 million, 27%, 5200 employees impact.

And still, rejection after rejection, even for roles I had referrals.

I did a case interview for one company, did a full strategic deck, multiple late nights, only to get a rejection for lacking relevant experience.

Then why was I interviewing in the first place?

Meanwhile, the macro story says, companies keep saying they have huge skill gaps.

So on paper, they're desperate for talent.

In your inbox, they're eager to ignore you.

And this gap has been creating a very specific kind of shame for me.

I started to think maybe my experience is as good as I thought.

Maybe other candidates really is 10 times better than I am.

Maybe I'm the delusional one.

Or maybe I'm too old for this role.

But let me clarify this for both of us.

The shame that you and I felt is not a personal failure.

It's a sign that the map that we've been using for

so long for our career no longer matches what's actually out there.

My late grandmother from Korea survived the Korean War.

Her advice in life was very simple.

Work hard, don't complain.

Do more than you're asked.

Show up early, stay late, and the universe will pay you back.

For her generation, that was mostly true.

Study hard, good school, good job equals stability.

And naturally, her mentality was passed on, and I grew up in that equation.

Collect the right grades, the degrees, and the right logos, and you'll be okay.

But that equation is broken now.

Today, almost 40 % of skills that we use at work will need to change or be updated by 2030.

So what happened in 2025 wasn't you got lazy, you're not good enough, you're secretly fraud.

What actually happened was structural.

Companies started to cut headcounts in the name of AI transformation.

But most of it was panic and cost -cutting.

The rules we grew up with were written for a different game

and we've been unknowingly turning their confusion into our personal shame.

So let me show you in a simple way what is going on and why do we feel suddenly unemployable.

Imagine a two by two matrix.

On the x -axis, we have replaceable skills, irreplaceable skills.

On the y -axis, we have low demand sectors and high demand sectors.

That gives us four boxes.

Top right, irreplaceable skills, high demand sectors.

These are people doing hard to transfer work in places that are actually growing.

Think deep technical experts experts in high growth AI

or data unique domain experts in fast -growing industries

or operators who can design

and lead real transformation box number two top left replaceable skills high demand sectors crowded entry -revel roles

and hot sectors hundreds of people who can run the same

dashboards write the same emails manage the same generic projects

and now going counterclockwise bottom right irreplaceable skills low demand sectors these are very skilled people in shrinking

or stagnant areas think experts in legacy systems niche functions being centralized

or outsourced and now to the danger zone replaceable skills

and low demand sectors your work is seen as interchangeable

and the industry itself isn't really growing now where do suddenly unemployable people sit usually somewhere between replaceable skills

and lower crowded demand

or irreplaceable skills built in the wrong place a lot of

our resumes were built in environment where the logos did the

heavy lifting our day -to -day work looked very similar to everyone else's the system rewarded polish

and reliability more than uniqueness and leverage so when we leave

100

that environment we suddenly realize oh i'm competing against hundreds of people who can tell almost the exact same story

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that i can that's why your linkedin feels like a slot machine right now you're not a bad candidate.

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You are already good enough.

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You're just playing in this box of two by two that is overcrowded and under differentiated.

104

Once you see where you are in this map, the real question becomes then how do I move boxes?

105

Here's a part that I'm betting my career on.

106

Around Q2 of 2026, this tension will snap.

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Companies will eventually realize

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that they don't just need people who know how to use ai tools they actually need translators

109

and i'm not talking about language translators these are translators between the messy real world problems

110

and what ai can actually do executives who speak in big visions

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and goals technical teams who speak in models and metrics

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and the translators are the people who come in understand how the business really works decide

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when to trust a model and when to override it

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and fit tools into real workflows without breaking anything

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while taking responsibility for this implementation and change

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and the market's been already moving in

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that direction we're seeing a lot of customer success managers ai engagement managers the fastest growing jobs right

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now are the ones that mix technical literacy human skills like problem solving communication

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and judgment by 2030 experts estimate

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that 170 million new jobs will be created in ai enabled green transitions

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and care economy all the work that keeps people healthy, educated, and supported.

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And about 92 million roles will disappear.

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That's a net gain of roughly 78 million jobs.

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So this is not going to be a permanent crash of the job market.

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It's a messy reshuffle.

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And the winners will be the ones who come out as translators between old processes and new tools,

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between humans and algorithms, and between what looks good in a slide and what actually works on Monday morning.

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Your job is to position yourself as one of those people

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in at least one clear context not the person who knows every ai tool

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but more of in this domain

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and for these problems my judgment is very hard to replace

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so before you click away do this 30 second exercise with me grab your notes app

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or a piece of paper whatever's nearby step one list your

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top five skills not the ones on your resume the ones

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that people actually come to you for

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so for instance things like i can walk into a messy situation

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and figure out what's really going on i can get people who hate each other to agree on the plan

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or i can turn vague ideas into a slide or memos

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that people can understand i can spot one number in the spreadsheet

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that will actually blow up next quarter write down whichever five for me these are the five

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and step two is circle the skills

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that you think will take at least six months for someone else to replace

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and be honest if you left your team

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which of these would they really struggle to replace

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if you circled fewer than two that could be the reason why you feel unemployable right now.

146

It doesn't mean that you're not talented.

147

It just means that the market sees you currently as replaceable in a crowded box.

148

And this is an exercise that someone taught me as I was complaining, why do I feel like nothing is landing for me?

149

The good news is that this is a solvable problem, but you have to see where you are first.

150

When you're done with that exercise, leave a comment below on what's that one skill that you circled for yourself.

151

And step three is start your 2026 portfolio.

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Open a clean document and title it problems I solved that wasn't in my job description.

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Under that, start collecting stories like we had no process for X, so I designed one.

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Everyone was confused about why, so I created a simple way to explain it.

155

We were stuck between two bad options, and I found the third option.

156

Those are translator stories, and those are the raw materials that will position you differently in 2026.

157

So where does this leave us?

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You might still need to keep applying.

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I am still applying.

160

But I want us to change how we read this rejection and silence.

161

Instead of feeling they ghosted me so I must be worthless.

162

Let's reframe that.

163

Try.

164

This is one more data point that the box I'm playing in is overcrowded.

165

And I need to move boxes.

166

2025 broke a lot of us.

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Including me.

168

Because we believe that the problem was us.

169

We internalized broken hiring systems.

170

Outdated job descriptions.

171

Employers slapping AI transformation on top of plain old cost -cutting

172

And we thought this was happening because if I was good enough, this wouldn't be happening

173

My Korean grandmother would still say, keep going, don't give up, do your best

174

But if she were 28 in 2025, I think even she would quietly admit that the game has changed

175

The rules didn't, we're in the middle of a chaotic shift

176

There will be millions of new rules coming up, especially where tech and human judgment meet

177

The market will rebuild around people who know how to work with AI,

178

not ignore it, and not sitting there scared and waiting to be replaced by AI.

179

And for us who will survive this breakdown,

180

we'll come out knowing where we sit on that 2x2 matrix and intentionally finding work and skills that will be irreplaceable.

181

Those are the people who will design what will come next.

182

So this week, instead of three more hours of tweaking bullets on your resume,

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I invite you to spend that time documenting your wisdom the part of your work that takes years to transfer,

184

the part that never shows up in job description, and the part that AI can't see or do.

185

That's what will set us apart for 2026.

186

That's the foundation of our new translator identity.

187

So that's what I'm doing tomorrow.

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I'm going to close my LinkedIn jobs tab

189

and start opening a new document of things that only I know how to do.

190

Your story will help someone see that all of our experiences are valuable and start connecting the dots to make a shape.

191

I hope this resonated with you.

192

You're not alone.

193

You're not crazy in this job market.

194

This is just chaotic, but I'm in it with you and hope that this exercise prepares us better for the coming year.

195

Thank you for watching and remember to come back to my next video topic on

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이 레슨의 어휘와 말하기 포인트

이 말하기 레슨은 영상 “My Wharton MBA is Useless in This Market”을(를) 바탕으로 합니다. 이 영상에는 섀도잉할 문장 195개와 단어 2189개가 있습니다. 말하는 구간의 길이는 12:26입니다. 화자는 분당 약 176단어로, 일상 대화에 가까운 자연스러운 속도로 말합니다. 단어의 82%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
rejection 명사	/ɹɪˈd͡ʒɛkʃən/	거절
translator 명사	/ˈtɹænzleɪtɚ/	번역자, 번역가
ghost 명사	/ɡoʊst/	유령, 혼
skill 명사	/skɪl/	기술, 스킬
logo 명사	/ˈloʊ.ɡoʊ/	로고, 로고타이프
transformation 명사	/ˌtɹæns.fɔɹˈmeɪ.ʃən/	변형, 변환
applicant 명사	/ˈæp.lə.kɪnt/	응모자, 출원자
ignore 동사	/ɪɡˈnɔː/	무시하다
silence 명사	/ˈsaɪ̯ləns/	침묵
solve 동사	/sɒlv/	해결하다
collect 동사	/ˈkɑlɪkt/	수집하다
slide 명사	/ˈslaɪ̯d/	미끄럼틀, 미끄럼대
complain 동사	/kəmˈpleɪn/	불평(不平)하다, 불만(不滿)을 말하다
grandmother 명사	/ˈɡɹæn(d)ˌmʌðɚ/	할머니, 외할머니
axis 명사	/ˈæksɪs/	축

영상에 나오는 구동사

단어	발음	뜻
come out 동사	/ˌkʌm ˈaʊt/	나오다
blow up 동사		폭파하다
come up 동사		올라오다
give up 동사		항복하다
write down 동사		적다, 적어 두다

따라 말해 볼 만한 문장

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

There are two realities that we're seeing.
You're not imagining it and you're not overreacting.
Today, let's talk about three things.
Second, where you actually sit in the job market map?
Then why was I interviewing in the first place?

이 영상의 문법

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

문형	영상 속 표현
현재완료진행 have/has been + -ing — 전에 시작해 지금도 계속되는 동작	has been creating · we've been using
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점	were lost · being added · was passed
관계절 who / which + 절 — 사람이나 사물에 대한 추가 정보	people who can · people who know · people who come
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때	haven't met · have been · we've been

주의할 발음

화자는 you're, I'm, can't 같은 축약형과 약화된 형태를 48번 사용합니다. 들리는 대로 짧게 발음하세요.

“th” 소리: grandmother /ˈɡɹæn(d)ˌmʌðɚ/, algorithm /ˈælɡəɹɪðm̩/, worthless /ˈwɜːθ.ləs/
“sh”와 “zh” 소리: rejection /ɹɪˈd͡ʒɛkʃən/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, equation /ɪˈkweɪ.ʒən/, transition /tɹænˈzɪʃ.ən/, essentially /ɪˈsɛnʃəli/
긴 단어 — 강세 위치에 주의: transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, essentially /ɪˈsɛnʃəli/, operator /ˈɑpəˌɹeɪtɚ/, implementation /ˌɪmplɪmənˈteɪʃən/

한국어 화자가 어려워하는 소리:

/f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, confused /kənˈfjuːzd/, fraud /ˈfɹɔːd/, roughly /ˈɹʌf.li/, fewer /ˈfjuː.ɚ/
/v/ — ㅂ(/b/)과 구별하기: solve /sɒlv/, reveal /ɹɪˈviːl/, invite /ɪnˈvaɪt/, leverage /ˈlɛv.(ə.)ɹɪd͡ʒ/, vague /veɪɡ/
/z/ — ㅈ이 아니라 성대를 울리는 /s/: resume /ˈɹɛz.ə.meɪ/, translator /ˈtɹænzleɪtɚ/, confused /kənˈfjuːzd/, transition /tɹænˈzɪʃ.ən/, wisdom /ˈwɪzdəm/

이 영상으로 연습하는 방법

먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
0.75배속으로 한 문장씩 섀도잉을 시작하고, 익숙해지면 보통 속도로 돌아갑니다.
자신의 목소리를 녹음해 원본과 비교하고, rejection, translator, ghost 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.

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쉐도잉 연습: My Wharton MBA is Useless in This Market - 영상으로 영어 말하기 배우기

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