Shadowing Practice: My Wharton MBA is Useless in This Market - Learn English Speaking with Video
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My Wharton degree was not enough to land a single offer in 2025.
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This was a sh show.
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32 ,000 jobs were lost last month.
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32 ,000 jobs were lost in that private sector in November.
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Job growth is hovering around zero, essentially.
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The government says we added 119 ,000 jobs last month.
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LinkedIn says there's basically one posting for one job seeker.
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So why did I spend $180 on LinkedIn Premium to compete against 847 people for jobs I'm overqualified for
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and still can't get an interview?
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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,
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then this video is for you.
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There are two realities that we're seeing.
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If you look at the headlines, the story is, Jobs are being added.
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Unemployment is low.
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The economy is resilient end.
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On the flip side, if you look at your inbox, the story is I have a Wharton MBA,
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I have recognizable logos, I thought I did everything right, but I can't even get a human to look at my resume.
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Those are two realities coexisting in this market.
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And if you feel like you're going crazy trying to make the sense of these two realities, you're not alone.
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You're not imagining it and you're not overreacting.
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On paper, you look fine.
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You might be doing some freelance or part -time work.
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But in practice, you are stuck in limbo, unable to access the opportunities that you know you could crush.
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If we haven't met before, hello, this is Yujin.
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I'm a management consultant based in Boston.
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Today, let's talk about three things.
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First, why is this happening?
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Second, where you actually sit in the job market map?
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And third, what you can start doing now so that 2026 will feel very different.
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Let me start with my own little horror story.
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LinkedIn premium.
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So I paid $30 a month for nearly six months.
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That's $180 to buy front row tickets to my own rejection.
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Every week I watched in real time 300 applicants, 600 applicants, 1 ,847 applicants.
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For roles where descriptions might as well have been copy pasted for my resume.
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I felt like I was a really good fit
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And still, no response or an odd rejection email on Saturday at 4am.
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I know that no one's actually looking at my resume at that time.
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At this point, I was starting to feel glad when I got a rejection email.
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At least someone or something triggered it to say something, not just ghosting in silence.
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One night, I was coming back from the Boston airport past 1am
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and staring at my resume at the back of an Uber.
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Mr. GPT said that my ATS score for my resumes was 98%.
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I was using the right keywords, dropping in brand name schools, promotions, numbers like 19 million, 27%, 5200 employees impact.
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And still, rejection after rejection, even for roles I had referrals.
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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.
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Then why was I interviewing in the first place?
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Meanwhile, the macro story says, companies keep saying they have huge skill gaps.
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So on paper, they're desperate for talent.
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In your inbox, they're eager to ignore you.
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And this gap has been creating a very specific kind of shame for me.
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I started to think maybe my experience is as good as I thought.
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Maybe other candidates really is 10 times better than I am.
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Maybe I'm the delusional one.
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Or maybe I'm too old for this role.
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But let me clarify this for both of us.
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The shame that you and I felt is not a personal failure.
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It's a sign that the map that we've been using for
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so long for our career no longer matches what's actually out there.
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My late grandmother from Korea survived the Korean War.
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Her advice in life was very simple.
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Work hard, don't complain.
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Do more than you're asked.
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Show up early, stay late, and the universe will pay you back.
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For her generation, that was mostly true.
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Study hard, good school, good job equals stability.
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And naturally, her mentality was passed on, and I grew up in that equation.
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Collect the right grades, the degrees, and the right logos, and you'll be okay.
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But that equation is broken now.
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Today, almost 40 % of skills that we use at work will need to change or be updated by 2030.
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So what happened in 2025 wasn't you got lazy, you're not good enough, you're secretly fraud.
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What actually happened was structural.
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Companies started to cut headcounts in the name of AI transformation.
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But most of it was panic and cost -cutting.
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The rules we grew up with were written for a different game
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and we've been unknowingly turning their confusion into our personal shame.
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So let me show you in a simple way what is going on and why do we feel suddenly unemployable.
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Imagine a two by two matrix.
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On the x -axis, we have replaceable skills, irreplaceable skills.
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On the y -axis, we have low demand sectors and high demand sectors.
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That gives us four boxes.
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Top right, irreplaceable skills, high demand sectors.
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These are people doing hard to transfer work in places that are actually growing.
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Think deep technical experts experts in high growth AI
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or data unique domain experts in fast -growing industries
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or operators who can design
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and lead real transformation box number two top left replaceable skills high demand sectors crowded entry -revel roles
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and hot sectors hundreds of people who can run the same
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dashboards write the same emails manage the same generic projects
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and now going counterclockwise bottom right irreplaceable skills low demand sectors these are very skilled people in shrinking
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or stagnant areas think experts in legacy systems niche functions being centralized
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or outsourced and now to the danger zone replaceable skills
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and low demand sectors your work is seen as interchangeable
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and the industry itself isn't really growing now where do suddenly unemployable people sit usually somewhere between replaceable skills
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and lower crowded demand
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or irreplaceable skills built in the wrong place a lot of
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our resumes were built in environment where the logos did the
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heavy lifting our day -to -day work looked very similar to everyone else's the system rewarded polish
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and reliability more than uniqueness and leverage so when we leave
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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.
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Once you see where you are in this map, the real question becomes then how do I move boxes?
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Here's a part that I'm betting my career on.
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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
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and i'm not talking about language translators these are translators between the messy real world problems
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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.
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It doesn't mean that you're not talented.
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It just means that the market sees you currently as replaceable in a crowded box.
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And this is an exercise that someone taught me as I was complaining, why do I feel like nothing is landing for me?
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The good news is that this is a solvable problem, but you have to see where you are first.
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When you're done with that exercise, leave a comment below on what's that one skill that you circled for yourself.
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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.
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We were stuck between two bad options, and I found the third option.
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Those are translator stories, and those are the raw materials that will position you differently in 2026.
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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.
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But I want us to change how we read this rejection and silence.
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Instead of feeling they ghosted me so I must be worthless.
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Let's reframe that.
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Try.
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This is one more data point that the box I'm playing in is overcrowded.
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And I need to move boxes.
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2025 broke a lot of us.
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Including me.
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Because we believe that the problem was us.
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We internalized broken hiring systems.
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Outdated job descriptions.
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Employers slapping AI transformation on top of plain old cost -cutting
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And we thought this was happening because if I was good enough, this wouldn't be happening
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My Korean grandmother would still say, keep going, don't give up, do your best
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But if she were 28 in 2025, I think even she would quietly admit that the game has changed
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The rules didn't, we're in the middle of a chaotic shift
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There will be millions of new rules coming up, especially where tech and human judgment meet
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The market will rebuild around people who know how to work with AI,
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not ignore it, and not sitting there scared and waiting to be replaced by AI.
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And for us who will survive this breakdown,
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we'll come out knowing where we sit on that 2x2 matrix and intentionally finding work and skills that will be irreplaceable.
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Those are the people who will design what will come next.
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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,
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the part that never shows up in job description, and the part that AI can't see or do.
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That's what will set us apart for 2026.
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That's the foundation of our new translator identity.
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So that's what I'm doing tomorrow.
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I'm going to close my LinkedIn jobs tab
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and start opening a new document of things that only I know how to do.
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Your story will help someone see that all of our experiences are valuable and start connecting the dots to make a shape.
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I hope this resonated with you.
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You're not alone.
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You're not crazy in this job market.
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This is just chaotic, but I'm in it with you and hope that this exercise prepares us better for the coming year.
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Thank you for watching and remember to come back to my next video topic on
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Bu dersin kelimeleri ve konuşma notları
Bu konuşma dersi “My Wharton MBA is Useless in This Market” videosuna dayanıyor. Bu videoda gölgeleme çalışması için 195 cümle ve 2189 kelime var. Konuşma bölümü 12:26 sürüyor. Konuşmacı dakikada yaklaşık 176 kelimeyle, günlük konuşmaya yakın doğal bir hızda konuşuyor. Kelimelerin %82’i İngilizcede en sık kullanılan 3.000 kelime arasında; geri kalanına başlamadan önce bakmakta fayda var.
Bu videodaki önemli kelimeler
Videodan öğrenmeye değer 15 kelime, telaffuzu ve anlamıyla:
| Kelime | Telaffuz | Anlam |
|---|---|---|
| translator isim | /ˈtɹænzleɪtɚ/ | çevirmen, tercüman |
| ghost isim | /ɡoʊst/ | hayalet, ruh |
| skill isim | /skɪl/ | beceri, maharet |
| judgment isim | /ˈd͡ʒʌd͡ʒ.mənt/ | yargı, hüküm |
| logo isim | /ˈloʊ.ɡoʊ/ | logo, logolar |
| messy sıfat | /ˈmɛsi/ | darmadağınık, karmakarışık |
| ignore fiil | /ɪɡˈnɔː/ | görmezden gelmek |
| silence isim | /ˈsaɪ̯ləns/ | sessizlik, sükût |
| solve fiil | /sɒlv/ | çözmek, halletmek |
| compete fiil | /kəmˈpiːt/ | boy ölçüşmek, yarışmak |
| collect fiil | /ˈkɑlɪkt/ | katılmak, toplamak |
| slide isim | /ˈslaɪ̯d/ | kaydırak |
| grandmother isim | /ˈɡɹæn(d)ˌmʌðɚ/ | büyükanne, nine |
| axis isim | /ˈæksɪs/ | eksen |
| equation isim | /ɪˈkweɪ.ʒən/ | denklem |
Duyacağınız deyimsel fiiller
| Kelime | Telaffuz | Anlam |
|---|---|---|
| come out fiil | /ˌkʌm ˈaʊt/ | çıkmak |
| blow up fiil | havaya uçurmak, havaya uçmak | |
| figure out fiil | açığa çıkarmak | |
| show up fiil | ortaya çıkmak |
Tekrar etmeye değer cümleler
Videodan, günlük konuşmada yeniden kullanabileceğiniz kısa ve tam cümleler:
- 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?
Bu videodaki dil bilgisi
Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:
| Yapı | Videoda |
|---|---|
| Present perfect continuous have/has been + -ing — önceden başlayıp hâlâ süren bir eylem | has been creating · we've been using |
| Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli | were lost · being added · was passed |
| İlgi cümlecikleri who / which + cümle — bir kişi ya da şey hakkında ek bilgi | people who can · people who know · people who come |
| Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem | haven't met · have been · we've been |
Dikkat edilecek telaffuzlar
Konuşmacı you're, I'm, can't gibi kısaltılmış biçimleri 48 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.
- “th” sesleri: grandmother /ˈɡɹæn(d)ˌmʌðɚ/, algorithm /ˈælɡəɹɪðm̩/, worthless /ˈwɜːθ.ləs/
- “sh” ve “zh” sesleri: rejection /ɹɪˈd͡ʒɛkʃən/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, equation /ɪˈkweɪ.ʒən/, transition /tɹænˈzɪʃ.ən/, essentially /ɪˈsɛnʃəli/
- Uzun kelimeler — vurguyu doğru yere koyun: transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, essentially /ɪˈsɛnʃəli/, operator /ˈɑpəˌɹeɪtɚ/, implementation /ˌɪmplɪmənˈteɪʃən/
Türkçe konuşanların zorlandığı sesler:
- /w/ — dudaklar yuvarlak, /v/ değil: equation /ɪˈkweɪ.ʒən/, meanwhile /ˈmiːnwaɪl/, reward /ɹɪˈwɔɹd/, wisdom /ˈwɪzdəm/, quietly /ˈkwaɪ.ɪt.li/
- Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: translator /ˈtɹænzleɪtɚ/, skill /skɪl/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, premium /ˈpɹiː.miː.əm/, slide /ˈslaɪ̯d/
- /æ/ — “e”den daha açık: translator /ˈtɹænzleɪtɚ/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, applicant /ˈæp.lə.kɪnt/, grandmother /ˈɡɹæn(d)ˌmʌðɚ/, axis /ˈæksɪs/
Bu videoyla nasıl çalışılır
- Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
- 0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
- Kendinizi kaydedin ve orijinaliyle karşılaştırın; translator, ghost, skill gibi kelimelere özellikle dikkat edin.
Gölgeleme Tekniği Nedir?
Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.