शैडोइंग अभ्यास: My Wharton MBA is Useless in This Market - वीडियो के साथ अंग्रेजी बोलना सीखें

अभ्यास मोड चुनें

हर मोड पूरी स्क्रीन का अभ्यास कक्ष खोलता है।

195 वाक्य

यदि वाक्य बहुत छोटे या लंबे हों, तो समायोजित करने के लिए Edit पर क्लिक करें।

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

101

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

102

You are already good enough.

103

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.

107

Companies will eventually realize

108

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

111

and goals technical teams who speak in models and metrics

112

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

113

when to trust a model and when to override it

114

and fit tools into real workflows without breaking anything

115

while taking responsibility for this implementation and change

116

and the market's been already moving in

117

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

118

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

119

and judgment by 2030 experts estimate

120

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

121

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

122

And about 92 million roles will disappear.

123

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

124

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

125

It's a messy reshuffle.

126

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

127

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

128

Your job is to position yourself as one of those people

129

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

130

but more of in this domain

131

and for these problems my judgment is very hard to replace

132

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

133

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

134

top five skills not the ones on your resume the ones

135

that people actually come to you for

136

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

137

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

138

or i can turn vague ideas into a slide or memos

139

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

140

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

141

and step two is circle the skills

142

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

143

and be honest if you left your team

144

which of these would they really struggle to replace

145

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.

152

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

153

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

154

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?

158

You might still need to keep applying.

159

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.

167

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,

183

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.

188

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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इस पाठ की शब्दावली और बोलने के सुझाव

यह स्पीकिंग पाठ वीडियो “My Wharton MBA is Useless in This Market” पर आधारित है। इस वीडियो में शैडोइंग के लिए 195 वाक्य और 2189 शब्द हैं। बोला गया हिस्सा 12:26 लंबा है। वक्ता लगभग 176 शब्द प्रति मिनट की स्वाभाविक गति से बोलता है, जो रोज़मर्रा की बातचीत के करीब है। 82% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं; बाकी शब्द अभ्यास से पहले देख लेना अच्छा रहेगा।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 सीखने लायक शब्द, उच्चारण और अर्थ के साथ:

शब्द	उच्चारण	अर्थ
translator संज्ञा	/ˈtɹænzleɪtɚ/	अनुवादक, भाषांतरकार
ghost संज्ञा	/ɡoʊst/	भूत, आत्मा
skill संज्ञा	/skɪl/	कुशलता, कौशल
judgment संज्ञा	/ˈd͡ʒʌd͡ʒ.mənt/	मूल्यांकन
logo संज्ञा	/ˈloʊ.ɡoʊ/	लोगो
transformation संज्ञा	/ˌtɹæns.fɔɹˈmeɪ.ʃən/	रूपांतरण
messy विशेषण	/ˈmɛsi/	अव्यवस्थित, अस्त-व्यस्त
applicant संज्ञा	/ˈæp.lə.kɪnt/	आवेदक
ignore क्रिया	/ɪɡˈnɔː/	उपेक्षा, उपेक्षा करना
silence संज्ञा	/ˈsaɪ̯ləns/	शांति, सन्नाटा
solve क्रिया	/sɒlv/	सुलझाना, हल करना
collect क्रिया	/ˈkɑlɪkt/	शामिल होने, इकट्ठा करना
complain क्रिया	/kəmˈpleɪn/	शिकायत करना
grandmother संज्ञा	/ˈɡɹæn(d)ˌmʌðɚ/	दादी, नानी
axis संज्ञा	/ˈæksɪs/	धुरी, अक्ष

दोहराने लायक वाक्य

वीडियो के छोटे, पूरे वाक्य जिन्हें आप रोज़ की बातचीत में इस्तेमाल कर सकते हैं:

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?

इस वीडियो का व्याकरण

वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:

संरचना	वीडियो में
Present perfect continuous have/has been + -ing — पहले शुरू हुआ काम जो अब भी जारी है	has been creating · we've been using
Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है	were lost · being added · was passed
Relative clauses who / which + उपवाक्य — व्यक्ति या वस्तु के बारे में अतिरिक्त जानकारी	people who can · people who know · people who come
Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी है	haven't met · have been · we've been

ध्यान देने योग्य उच्चारण

वक्ता 48 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे you're, I'm, can't। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

“th” की ध्वनियाँ: grandmother /ˈɡɹæn(d)ˌmʌðɚ/, algorithm /ˈælɡəɹɪðm̩/, worthless /ˈwɜːθ.ləs/
“sh” और “zh” की ध्वनियाँ: rejection /ɹɪˈd͡ʒɛkʃən/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, equation /ɪˈkweɪ.ʒən/, transition /tɹænˈzɪʃ.ən/, essentially /ɪˈsɛnʃəli/
लंबे शब्द — बलाघात सही रखें: transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, essentially /ɪˈsɛnʃəli/, operator /ˈɑpəˌɹeɪtɚ/, implementation /ˌɪmplɪmənˈteɪʃən/

हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:

/v/ और /w/ का फ़र्क़ — /v/ में ऊपर के दाँत निचले होंठ को छूते हैं, /w/ में होंठ गोल होते हैं: solve /sɒlv/, equation /ɪˈkweɪ.ʒən/, meanwhile /ˈmiːnwaɪl/, reveal /ɹɪˈviːl/, reward /ɹɪˈwɔɹd/
/z/ — इसे “ज” (/dʒ/) न बनाएँ: resume /ˈɹɛz.ə.meɪ/, translator /ˈtɹænzleɪtɚ/, confused /kənˈfjuːzd/, transition /tɹænˈzɪʃ.ən/, wisdom /ˈwɪzdəm/
शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: skill /skɪl/, slide /ˈslaɪ̯d/, strategic /stɹəˈti.dʒɪk/, stability /stəˈbɪlɪti/, snap /snæp/

इस वीडियो से अभ्यास कैसे करें

पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
0.75× गति से शुरू करें, एक-एक वाक्य की शैडोइंग करें, और सहज लगने पर सामान्य गति पर लौटें।
अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर translator, ghost, skill जैसे शब्दों पर ध्यान दें।

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग तकनीक: पूरी चरण-दर-चरण गाइड पढ़ें →

शैडोइंग अभ्यास: My Wharton MBA is Useless in This Market - वीडियो के साथ अंग्रेजी बोलना सीखें

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इस पाठ की शब्दावली और बोलने के सुझाव

इस वीडियो की मुख्य शब्दावली

दोहराने लायक वाक्य

इस वीडियो का व्याकरण

ध्यान देने योग्य उच्चारण

इस वीडियो से अभ्यास कैसे करें

शैडोइंग तकनीक क्या है?