Prática de Shadowing: My Wharton MBA is Useless in This Market - Aprenda a falar inglês com vídeo
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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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Vocabulário e dicas de fala para esta lição
Esta aula de conversação usa o vídeo “My Wharton MBA is Useless in This Market”. Este vídeo tem 195 frases e 2189 palavras para praticar shadowing. A fala dura 12:26. O falante fala em ritmo natural, cerca de 176 palavras por minuto, próximo de uma conversa do dia a dia. 82% das palavras estão entre as 3.000 mais comuns do inglês; vale a pena estudar o restante antes de começar.
Vocabulário principal deste vídeo
15 palavras do vídeo que vale a pena aprender, com pronúncia e significado:
| Palavra | Pronúncia | Significado |
|---|---|---|
| resume verbo | /ˈɹɛz.ə.meɪ/ | retomar, continuar |
| rejection substantivo | /ɹɪˈd͡ʒɛkʃən/ | rejeição |
| translator substantivo | /ˈtɹænzleɪtɚ/ | tradutor, tradutora |
| ghost substantivo | /ɡoʊst/ | fantasma, espectro |
| skill substantivo | /skɪl/ | habilidade, talento |
| judgment substantivo | /ˈd͡ʒʌd͡ʒ.mənt/ | juízo, julgamento |
| logo substantivo | /ˈloʊ.ɡoʊ/ | logo |
| transformation substantivo | /ˌtɹæns.fɔɹˈmeɪ.ʃən/ | transformação |
| messy adjetivo | /ˈmɛsi/ | desorganizado, bagunçado |
| applicant substantivo | /ˈæp.lə.kɪnt/ | requerente, candidato |
| ignore verbo | /ɪɡˈnɔː/ | ignorar |
| silence substantivo | /ˈsaɪ̯ləns/ | silêncio |
| solve verbo | /sɒlv/ | resolver, solucionar |
| compete verbo | /kəmˈpiːt/ | competir, rivalizar |
| collect verbo | /ˈkɑlɪkt/ | juntar, reunir |
Phrasal verbs que você vai ouvir
| Palavra | Pronúncia | Significado |
|---|---|---|
| come out verbo | /ˌkʌm ˈaʊt/ | sair, partir |
| blow up verbo | explodir | |
| figure out verbo | descobrir, deduzir | |
| give up verbo | render-se | |
| write down verbo | anotar |
Frases que vale a pena repetir
Frases curtas e completas do vídeo que você pode usar na conversa do dia a dia:
- 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?
Gramática neste vídeo
As estruturas que o falante mais usa, com as palavras exatas do vídeo:
| Estrutura | No vídeo |
|---|---|
| Present perfect continuous have/has been + -ing — uma ação que começou antes e continua | has been creating · we've been using |
| Voz passiva be + particípio passado — o foco está no que acontece, não em quem faz | were lost · being added · was passed |
| Orações relativas who / which + oração — informação extra sobre uma pessoa ou coisa | people who can · people who know · people who come |
| Present perfect have/has + particípio passado — uma ação passada que ainda importa agora | haven't met · have been · we've been |
Pronúncia para ficar de olho
O falante usa 48 contrações e formas reduzidas, como you're, I'm, can't. Diga-as na forma curta, do jeito que você ouve.
- Os sons de “th”: grandmother /ˈɡɹæn(d)ˌmʌðɚ/, algorithm /ˈælɡəɹɪðm̩/, worthless /ˈwɜːθ.ləs/
- Os sons de “sh” e “zh”: rejection /ɹɪˈd͡ʒɛkʃən/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, equation /ɪˈkweɪ.ʒən/, transition /tɹænˈzɪʃ.ən/, essentially /ɪˈsɛnʃəli/
- Palavras longas — acerte a sílaba tônica: transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, essentially /ɪˈsɛnʃəli/, operator /ˈɑpəˌɹeɪtɚ/, implementation /ˌɪmplɪmənˈteɪʃən/
Sons difíceis para falantes de português:
- Consoante final — sem acrescentar um “i” depois: ghost /ɡoʊst/, judgment /ˈd͡ʒʌd͡ʒ.mənt/, applicant /ˈæp.lə.kɪnt/, compete /kəmˈpiːt/, collect /ˈkɑlɪkt/
- /l/ final — a língua toca o céu da boca, não vira “u”: skill /skɪl/, meanwhile /ˈmiːnwaɪl/, reveal /ɹɪˈviːl/, enable /ɪˈneɪ.bəl/, structural /ˈstɹʌk(t͡)ʃəɹəl/
- /h/ — um sopro suave, diferente do “r”: horror /ˈhɒɹ.ə/, hire /ˈhaɪɹ/, headline /ˈhɛd.laɪn/, headcount /ˈhɛdˌkaʊnt/, hover /ˈhɒvə/
Como praticar com este vídeo
- Ouça o vídeo inteiro uma vez sem falar e anote as palavras que você não conhece.
- Comece na velocidade 0,75×, faça shadowing frase por frase e volte à velocidade normal quando ficar fácil.
- Grave a sua voz e compare com o original, prestando atenção a palavras como resume, rejection, translator.
O que é a Técnica de Shadowing?
Shadowing é uma técnica de aprendizado de idiomas com base científica, originalmente desenvolvida para o treinamento de intérpretes profissionais. O método é simples, mas poderoso: você ouve áudio em inglês nativo e repete imediatamente em voz alta — como uma sombra seguindo o falante com 1-2 segundos de atraso. Pesquisas mostram melhora significativa na precisão da pronúncia, entonação, ritmo, sons conectados, compreensão auditiva e fluência na fala.