Shadowing Practice: My Wharton MBA is Useless in This Market - Learn English Speaking with Video
בחר מצב תרגול
כל מצב פותח חדר תרגול במסך מלא.
195 משפטים
אם המשפטים קצרים או ארוכים מדי, לחץ על ערוך כדי להתאים אותם.
1
My Wharton degree was not enough to land a single offer in 2025.
2
This was a sh show.
3
32 ,000 jobs were lost last month.
4
32 ,000 jobs were lost in that private sector in November.
5
Job growth is hovering around zero, essentially.
6
The government says we added 119 ,000 jobs last month.
7
LinkedIn says there's basically one posting for one job seeker.
8
So why did I spend $180 on LinkedIn Premium to compete against 847 people for jobs I'm overqualified for
9
and still can't get an interview?
10
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,
11
then this video is for you.
12
There are two realities that we're seeing.
13
If you look at the headlines, the story is, Jobs are being added.
14
Unemployment is low.
15
The economy is resilient end.
16
On the flip side, if you look at your inbox, the story is I have a Wharton MBA,
17
I have recognizable logos, I thought I did everything right, but I can't even get a human to look at my resume.
18
Those are two realities coexisting in this market.
19
And if you feel like you're going crazy trying to make the sense of these two realities, you're not alone.
20
You're not imagining it and you're not overreacting.
21
On paper, you look fine.
22
You might be doing some freelance or part -time work.
23
But in practice, you are stuck in limbo, unable to access the opportunities that you know you could crush.
24
If we haven't met before, hello, this is Yujin.
25
I'm a management consultant based in Boston.
26
Today, let's talk about three things.
27
First, why is this happening?
28
Second, where you actually sit in the job market map?
29
And third, what you can start doing now so that 2026 will feel very different.
30
Let me start with my own little horror story.
31
LinkedIn premium.
32
So I paid $30 a month for nearly six months.
33
That's $180 to buy front row tickets to my own rejection.
34
Every week I watched in real time 300 applicants, 600 applicants, 1 ,847 applicants.
35
For roles where descriptions might as well have been copy pasted for my resume.
36
I felt like I was a really good fit
37
And still, no response or an odd rejection email on Saturday at 4am.
38
I know that no one's actually looking at my resume at that time.
39
At this point, I was starting to feel glad when I got a rejection email.
40
At least someone or something triggered it to say something, not just ghosting in silence.
41
One night, I was coming back from the Boston airport past 1am
42
and staring at my resume at the back of an Uber.
43
Mr. GPT said that my ATS score for my resumes was 98%.
44
I was using the right keywords, dropping in brand name schools, promotions, numbers like 19 million, 27%, 5200 employees impact.
45
And still, rejection after rejection, even for roles I had referrals.
46
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.
47
Then why was I interviewing in the first place?
48
Meanwhile, the macro story says, companies keep saying they have huge skill gaps.
49
So on paper, they're desperate for talent.
50
In your inbox, they're eager to ignore you.
51
And this gap has been creating a very specific kind of shame for me.
52
I started to think maybe my experience is as good as I thought.
53
Maybe other candidates really is 10 times better than I am.
54
Maybe I'm the delusional one.
55
Or maybe I'm too old for this role.
56
But let me clarify this for both of us.
57
The shame that you and I felt is not a personal failure.
58
It's a sign that the map that we've been using for
59
so long for our career no longer matches what's actually out there.
60
My late grandmother from Korea survived the Korean War.
61
Her advice in life was very simple.
62
Work hard, don't complain.
63
Do more than you're asked.
64
Show up early, stay late, and the universe will pay you back.
65
For her generation, that was mostly true.
66
Study hard, good school, good job equals stability.
67
And naturally, her mentality was passed on, and I grew up in that equation.
68
Collect the right grades, the degrees, and the right logos, and you'll be okay.
69
But that equation is broken now.
70
Today, almost 40 % of skills that we use at work will need to change or be updated by 2030.
71
So what happened in 2025 wasn't you got lazy, you're not good enough, you're secretly fraud.
72
What actually happened was structural.
73
Companies started to cut headcounts in the name of AI transformation.
74
But most of it was panic and cost -cutting.
75
The rules we grew up with were written for a different game
76
and we've been unknowingly turning their confusion into our personal shame.
77
So let me show you in a simple way what is going on and why do we feel suddenly unemployable.
78
Imagine a two by two matrix.
79
On the x -axis, we have replaceable skills, irreplaceable skills.
80
On the y -axis, we have low demand sectors and high demand sectors.
81
That gives us four boxes.
82
Top right, irreplaceable skills, high demand sectors.
83
These are people doing hard to transfer work in places that are actually growing.
84
Think deep technical experts experts in high growth AI
85
or data unique domain experts in fast -growing industries
86
or operators who can design
87
and lead real transformation box number two top left replaceable skills high demand sectors crowded entry -revel roles
88
and hot sectors hundreds of people who can run the same
89
dashboards write the same emails manage the same generic projects
90
and now going counterclockwise bottom right irreplaceable skills low demand sectors these are very skilled people in shrinking
91
or stagnant areas think experts in legacy systems niche functions being centralized
92
or outsourced and now to the danger zone replaceable skills
93
and low demand sectors your work is seen as interchangeable
94
and the industry itself isn't really growing now where do suddenly unemployable people sit usually somewhere between replaceable skills
95
and lower crowded demand
96
or irreplaceable skills built in the wrong place a lot of
97
our resumes were built in environment where the logos did the
98
heavy lifting our day -to -day work looked very similar to everyone else's the system rewarded polish
99
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
הורד אפליקציה
כל מה שאתה צריך כדי לדבר בשטף
הגיית AIציון לכל משפט
תרגול IPAשלוט בכל צליל
אוצר מיליםבנה את מאגר המילים שלך
משחק אוצר מיליםלמד תוך כדי משחק
FOR YOU
המלץ על סרטון
B21
92 משפטים
Why Even Harvard’s Smartest Graduates Can’t Get a Job Now
Daily ConversationUniversity StudentsWorking Adults
B21
176 משפטים
I Lost an Opportunity — and It Taught Me This About Growth
Business EnglishDaily ConversationWorking Adults
B21
116 משפטים
Brutally Honest Advice About Social Media in 7 mins
Daily ConversationWorking Adults
B21
106 משפטים
I Was Replaced by AI, So What Should I Do Now? | My Story of Losing My Job in China
Daily ConversationWorking Adults
B228 משפטים
Introducing Best of Luck with Kyla Scanlon
Daily ConversationWorking Adults
B21
146 משפטים
【English Podcast】Is a College Degree Still Worth It? — 4 Things to Consider
Daily ConversationUniversity StudentsWorking Adults
B245 משפטים
BTE WINS & Results 🎉
Daily ConversationWorking Adults
B22
209 משפטים
Give me 12 minutes, I'll open your eyes to how to actually become rich using AI
Business EnglishDaily ConversationWorking Adults
C1148 משפטים
Why Are Women Spending So Much Money Just to Go to Work?
Daily ConversationWorking Adults
B21
475 משפטים
Your Insecurity Is Your Brand
Daily ConversationWorking Adults
B22
144 משפטים
If Companies Are Desperate For Workers... Why Can Nobody Find A Job?
Daily ConversationWorking Adults
B21
181 משפטים
secrets about landing your dream job
Daily ConversationUniversity StudentsWorking Adults
אוצר מילים והערות הגייה לשיעור הזה
שיעור הדיבור הזה מבוסס על הסרטון “My Wharton MBA is Useless in This Market”. בסרטון הזה יש 195 משפטים ו-2189 מילים לתרגול Shadowing. הדיבור נמשך 12:26. הדובר מדבר בקצב טבעי של כ-176 מילים בדקה, קרוב לשיחה יומיומית. 82% מהמילים נמצאות בין 3,000 המילים הנפוצות ביותר באנגלית; כדאי ללמוד את השאר לפני שמתחילים.
אוצר מילים מרכזי בסרטון הזה
15 מילים מהסרטון שכדאי ללמוד, עם ההגייה והמשמעות שלהן:
| מילה | הגייה | משמעות |
|---|---|---|
| resume פועל | /ˈɹɛz.ə.meɪ/ | התחיל מחדש, המשיך |
| translator שם עצם | /ˈtɹænzleɪtɚ/ | מְתַרְגֵּם, מְתַרְגֶּמֶת |
| ghost שם עצם | /ɡoʊst/ | רוּחַ רְפָאִים |
| skill שם עצם | /skɪl/ | מְיֻמָּנוּת, כִּשּׁוּרִים |
| logo שם עצם | /ˈloʊ.ɡoʊ/ | לוֹגוֹ, סמליל |
| messy שם תואר | /ˈmɛsi/ | חסר סדר, מבולגן |
| ignore פועל | /ɪɡˈnɔː/ | הִתְעַלֵּם |
| silence שם עצם | /ˈsaɪ̯ləns/ | שקט, דממה |
| solve פועל | /sɒlv/ | פָּתַר |
| compete פועל | /kəmˈpiːt/ | התחרה |
| collect פועל | /ˈkɑlɪkt/ | אסף |
| domain שם עצם | /ˌdəʊˈmeɪ̯n/ | תְּחוּם |
| slide שם עצם | /ˈslaɪ̯d/ | מַגְלֵשָׁה |
| complain פועל | /kəmˈpleɪn/ | הִתְלוֹנֵן |
| grandmother שם עצם | /ˈɡɹæn(d)ˌmʌðɚ/ | סָבָה, סָבְתָא |
Phrasal verbs שתשמעו
| מילה | הגייה | משמעות |
|---|---|---|
| come out פועל | /ˌkʌm ˈaʊt/ | יָצָא |
| blow up פועל | פוצץ, התפוצץ | |
| figure out פועל | הֵבִין, מצא תשובה | |
| give up פועל | וִתֵּר | |
| write down פועל | רָשַׁם |
משפטים שכדאי לחזור עליהם
משפטים קצרים ושלמים מהסרטון שאפשר להשתמש בהם בשיחה יומיומית:
- 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?
דקדוק בסרטון הזה
המבנים שהדובר משתמש בהם הכי הרבה, עם המילים המדויקות מהסרטון:
| מבנה | בסרטון |
|---|---|
| הווה מושלם ממושך (Present perfect continuous) have/has been + -ing — פעולה שהתחילה בעבר ועדיין נמשכת עכשיו | has been creating · we've been using |
| סביל (Passive voice) be + past participle — הדגש הוא על מה שקורה, לא על מי שעושה את הפעולה | were lost · being added · was passed |
| משפטי זיקה (Relative clauses) who / which + clause — מידע נוסף על אדם או דבר | people who can · people who know · people who come |
| הווה מושלם (Present perfect) have/has + past participle — פעולה שקרתה בעבר ועדיין יש לה חשיבות או השפעה עכשיו | haven't met · have been · we've been |
הגייה ששווה לשים לב אליה
הדובר משתמש ב-48 קיצורים וצורות מקוצרות, כמו you're, I'm, can't. אמרו אותם בצורה הקצרה, כפי שאתם שומעים אותם.
- הצלילים של “th”: grandmother /ˈɡɹæn(d)ˌmʌðɚ/, algorithm /ˈælɡəɹɪðm̩/, worthless /ˈwɜːθ.ləs/
- הצלילים של “sh” ו-“zh”: rejection /ɹɪˈd͡ʒɛkʃən/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, equation /ɪˈkweɪ.ʒən/, transition /tɹænˈzɪʃ.ən/, essentially /ɪˈsɛnʃəli/
- מילים ארוכות — שימו לב להטעמה: transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, essentially /ɪˈsɛnʃəli/, operator /ˈɑpəˌɹeɪtɚ/, implementation /ˌɪmplɪmənˈteɪʃən/
צלילים שדוברי עברית מתקשים בהם:
- /w/ — שפתיים מעוגלות, לא /v/: equation /ɪˈkweɪ.ʒən/, meanwhile /ˈmiːnwaɪl/, reward /ɹɪˈwɔɹd/, wisdom /ˈwɪzdəm/, quietly /ˈkwaɪ.ɪt.li/
- /æ/ — פתוח יותר מה-“אֶ” העברית, לא כמו “a” ב-“cup”: translator /ˈtɹænzleɪtɚ/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, applicant /ˈæp.lə.kɪnt/, grandmother /ˈɡɹæn(d)ˌmʌðɚ/, axis /ˈæksɪs/
- /r/ — הלשון לא נוגעת בשום מקום, לא ה-“ר” הגרונית: resume /ˈɹɛz.ə.meɪ/, rejection /ɹɪˈd͡ʒɛkʃən/, translator /ˈtɹænzleɪtɚ/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, premium /ˈpɹiː.miː.əm/
איך לתרגל עם הסרטון הזה
- הקשיבו לכל הסרטון פעם אחת בלי לדבר, ורשמו את המילים שאתם לא מכירים.
- התחילו במהירות 0.75×, תרגלו Shadowing משפט אחר משפט, וחזרו למהירות רגילה כשזה מרגיש קל.
- הקליטו את עצמכם והשוו למקור, תוך תשומת לב למילים כמו resume, translator, ghost.
מהי טכניקת השאדואינג?
שאדואינג היא טכניקת למידת שפה מבוססת מדע שפותחה במקור להכשרת מתורגמנים מקצועיים ופופולרית על ידי הפוליגלוט ד"ר אלכסנדר ארגואלס. השיטה פשוטה אך עוצמתית: אתה מקשיב לאודיו באנגלית ילידית וחוזר עליו בקול רם מיד — כמו צל העוקב אחרי הדובר עם עיכוב של 1–2 שניות בלבד. בניגוד להאזנה פסיבית או תרגילי דקדוק, שאדואינג מכריח את המוח והשרירים בפה לעבד ולשחזר דפוסי דיבור אמיתיים בו זמנית. מחקרים מראים שזה משפר משמעותית את דיוק ההגייה, האינטונציה, הקצב, הדיבור המחובר, הבנת השמיעה ושטף הדיבור — מה שהופך אותו לאחת השיטות היעילות ביותר להכנה לIELTS Speaking ולתקשורת באנגלית בעולם האמיתי.