쉐도잉 연습: How AI Is Changing the Working World - 영상으로 영어 말하기 배우기

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Will AI take your job or will it work for you?
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AI can analyze medical scans, design ads, translate languages and code.
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Check out this AI twin that helps its owner manage his workload.
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AI can already do a lot of what humans do, but the great AI jobs apocalypse hasn't arrived yet.
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So the question isn't really which jobs will AI take away from us, rather it's how is it changing the way we work?
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Steam engines, assembly lines, computers.
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Every tech revolution has sparked anxiety about the future of jobs.
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In 2025, Anthropic CEO Dario Amodei warned that AI could eliminate up to half of all entry -level jobs.
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One year later, he focused on how AI can help businesses grow.
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Even in sectors outside of tech, the outlook isn't quite as bleak anymore.
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The consulting firm Ernest & Young regularly conducts large -scale surveys of CEOs.
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In early 2025, 46 % of them expect that AI would lead to significant job cuts.
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By May 2026, that figure had dropped to just 20%.
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Many believe AI is creating new opportunities.
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For example, how a company is using AI twins.
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Meet technology consultant Richard Skellert.
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And now, meet
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Digital Richard, his digital twin.
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My job is to amplify Richard's original intelligence.
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I help Richard and his team learn faster, see connections and solve bigger problems.
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Human Richard has been collecting loads of his data for the last four years.
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He has granted access to his photos, bank accounts and emails to his digital twin.
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With AI tools like
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Cloud or ChatGPT, he feeds them into Digital Richard.
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Every single meeting, Digital Richard is in the room, recorded.
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So it comes in as an input.
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So all these inputs, therefore, are growing each day.
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It's like a wave.
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It's going off and getting bigger each day.
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Colleagues and clients can chat with Digital Richard, while a master copy sits securely offline.
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But the digital twin cannot make decisions independently.
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Digital Richard cannot go off and do anything without Human Richard.
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So I set the guardrails, I set the governance.
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Richard owns me.
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He decides what I learn, what I'm allowed to do and which decisions need his approval.
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I can challenge his thinking, but I cannot take his place.
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Every employee in Richard Skellert's company is offered a digital twin.
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The result, he says, has been an enormous increase in productivity.
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The digital twins are fast, are never sick and work around the clock.
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Richard and his colleagues can use their time for other tasks that require a human touch.
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It's a trend that's accelerating very, very fast.
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You might have seen
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Mark Zuckerberg is using his own digital twin.
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And I know of many, many, many business leaders.
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But the kinks haven't been all worked out yet.
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For example, who owns your digital twin?
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Richard Skellert thinks that each employee owns their twin and
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that companies would need to pay a fee if they continue to use it in case the employee leaves the company.
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He also wouldn't want his digital twin to stand in for him as a dad.
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But when he's not around, his 11 -year -old son
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Ben is allowed to use
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Digital Richard to help with his maths homework.
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Only the one. Do I trust
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Digital Richard to speak to my children?
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Yes, I do.
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Because it's me.
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It's an extension of me.
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It's not artificial intelligence.
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It's my original intelligence.
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So I do trust it.
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I guess I don't love him in the same way
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because I can physically have my dad and I can hug him
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and do whatever I want to him because he's my dad.
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But with digital Richard, he's more like to help me all the time.
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Richard Skellert is not afraid that his digital twin could replace him.
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For him, the human always remains at the center.
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Oh, well done.
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A digital twin can be helpful and feel like a personal upgrade
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if it has reliable guardrails and if you feed it the right data based on a skill set.
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With routine tasks increasingly being done by AI, young graduates are now finding it hard to land an entry -level job,
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like Sai Pranavi from Dresden, Germany.
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Sai Pranavi has a master's degree in computer science and several years of professional experience, yet she couldn't find a job for months.
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More than 300 applications sent and hardly any offers.
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Is AI to blame?
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We have been seeing a lot of companies who have cut down a lot of workforce
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because they are replacing them with AI.
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Many young people in Germany are in the same situation.
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There are fewer entry -level jobs and employers are now looking for different skills.
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In software development, some routine programming tasks are increasingly being taken over by generative AI.
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AI.
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A newly trained software engineer or computer scientist who has specialized in traditional programming would find it more difficult to keep up.
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They'll need to actively engage with what AI is capable of today.
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They'll have to build those skills.
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It's still unclear how exactly AI will reshape how we work.
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But in the future, you will need AI for many jobs.
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Universities need to adapt.
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Digital processes, automation and artificial intelligence still play too small a role in many degree programs.
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Actually, everything needs to change.
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We have the opportunity to learn differently, with university students interacting on a more personal level with AI.
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It can explain the same concept again and again, and I see great potential in that.
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Pranavi studied at the Dresden University of Technology.
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After months of searching, she found a job.
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Her persistence and willingness to learn new skills has paid off.
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You might spend hours polishing your CV, but keep in mind, AI is increasingly being used to screen applications and shortlist candidates.
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So if you're job hunting, what does that mean for you?
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Nowadays, if you're applying for a job, your first interview might not be with a person, but with an AI agent.
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It scans your CV and compares your skills with those of hundreds of other applicants.
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You see indeed an avatar, a human avatar.
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And what we hear a lot from candidates as well,
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is that what they miss is an opportunity really to present themselves and to distinguish them so from others.
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In this demonstration, candidates complete multiple choice questions and answer spoken interview prompts.
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They also verify their identity through a facial scan that is matched with their ID document.
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More and more recruitment companies around the world are using AI technologies like this headhunting office in London.
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Here, recruiters say application numbers have increased sharply as both candidates and companies rely more on AI tools.
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The company recruits for jobs in finance, technology and business services at different levels.
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Candidates are using AI to try and help them tailor their CVs, write their cover letters.
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And it's understandable because employers have been asking them to give more specific answers to that for a lifetime now.
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And employers are using AI to write job descriptions, write the job ads that you see online.
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They're using it to try and book interviews.
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If you're applying for jobs, AI can be useful, but it is also changing the rules of the game.
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A clear and well -structured CV matters more than ever because many systems now read applications automatically.
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But there are limits.
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AI looks for patterns in data.
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It does not understand a person in the same way a human recruiter does.
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We try and use it to make our recruiters more productive
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so they can actually get to the important human elements of the recruitment process.
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But the change that we've noticed over the last three to four years,
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that employers are coming to us to ask to put more human back into the process.
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As AI changes the way companies recruit, employers and job seekers need to decide where automation helps and where human judgment is still essential.
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While AI handles the tedious stuff, that human touch is what really matters.
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Creative gigs might seem safe, but not quite.
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In China there's already a full -blown AI film industry, complete with its own festivals.
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Some AI characters even call themselves actors, like Tilly Norwood from a London -based AI -driven studio.
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I want to be regarded as a serious actor, pushing the boundaries of what performance can be, not just as a demonstration of AI's capabilities.
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Concerns about AI's growing role are rising across the film world and even here in Germany, film and media jobs are starting to feel the heat,
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as these examples show.
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Hi, my name is Christoph.
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I'm a commercial and voiceover actor.
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And yes, AI is causing me and the entire industry.. to lose a lot of work.
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I'm a fashion designer and stylist.
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I've lost a lot of jobs due to AI.
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Is AI killing creative jobs or is it all just scaremongering?
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Well, AI can create realistic videos, answer complex questions, write texts, compose music and even speak.
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This is an AI generated voice.
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Voice actors like Christoph Walter are among those who are increasingly losing work to AI in advertising and video games,
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though the feature film market remains stable.
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I don't get what's so great about taking a job from someone who genuinely enjoys it and finds fulfillment in it.
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Taking that job away just so that you can have someone else do the same work for 10 hours at minimum wage,
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only to end up with a result that, unfortunately,
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doesn't come close to serving the purpose as well as what you could have produced in just 15
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or 30 minutes with those people.
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This stylist from Berlin, let's call her Pia, wants to remain anonymous.
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She lost 70 % of her work when her client started using AI tools to retouch photos.
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Stylists will have to fix a lot of mistakes.
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And now it can be easily fixed by AI tools.
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AI always has to learn first in order to perform its task.
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And it needs the right data to do so.
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To generate an authentic voice, it needs a human model.
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It's basically the metadata that tells you how I speak, how I emphasize words, how I pause,
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how I breathe, how I play certain accents.
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And just like that, what sounded like a robot now sounds like a human being.
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I think people see this technology and they see the potential of the technology
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and they see the potential for labor market disruption.
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And they jump ahead to the labor market disruption is happening right now.
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Christoph Walter doesn't think he'll be able to keep his job and is already working on establishing a second career in marketing.
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It's not humans or AI, it's humans working with AI that will shape how we work in the future.
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So don't ignore it, learn to use it.
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Build your human skills of judgment, creativity and connection and stay adaptable because the jobs of tomorrow may look very different from the jobs of today.
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That's it from me.
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Bye.

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단어 게임놀면서 외우기
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추천 영상

이 레슨의 어휘와 말하기 포인트

이 말하기 레슨은 영상 “How AI Is Changing the Working World”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: digital, Richard, twin. 이 영상에는 섀도잉할 문장 128개와 단어 1885개가 있습니다. 말하는 구간의 길이는 12:22입니다. 화자는 분당 약 152단어로, 일상 대화에 가까운 자연스러운 속도로 말합니다. 영어에서 가장 많이 쓰이는 3,000단어에 속하는 단어가 80%뿐이라 어휘가 어려운 편입니다.

이 영상의 핵심 어휘

영상에 나오는 익혀 둘 만한 단어 15개를 발음, 뜻과 함께 정리했습니다.

단어발음뜻
twin 명사/twɪn/쌍둥이, 갈오기
employer 명사/ɪmˈplɔɪə/고용주
recruit 동사/ɹɪˈkɹut/모집하다
routine 명사/ɹuˈtin/일과, 루틴
artificial 형용사/ˌɑː.tɪˈfɪʃ.əl/인공, 인조
demonstration 명사/dɛmənˈstɹeɪʃən/논증, 론증
recruitment 명사/rɪˈkruːt.mənt /모집, 채용
colleague 명사/ˈkɒliːɡ/동료, 동업자
automation 명사/ˌɔ.təˈmeɪ.ʃən/자동화, 오토메이션
avatar 명사/ˌæv.əˈtɑː(ɹ)/아바타
ignore 동사/ɪɡˈnɔː/무시하다
stable 명사/ˈsteɪ.bəl/마구간, 축사
anxiety 명사/æŋˈzaɪ.əti/걱정, 불안
compare 동사/kəmˈpɛɚ/비교하다, 비유하다
wage 명사/weɪd͡ʒ/임금, 급료

영상에 나오는 구동사

단어뜻
stand in for 동사~를 대신하여

따라 말해 볼 만한 문장

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

  • For example- who owns your digital twin?
  • Yes, I do, because it's me.
  • It's an extension of me.
  • Challenges you've faced, what you did or would do?

이 영상의 문법

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

문형영상 속 표현
현재완료진행 have/has been + -ing — 전에 시작해 지금도 계속되는 동작has been collecting · have been seeing · have been asking
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때hasn't arrived · has sparked · has granted
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점is offered · is allowed · being done
관계절 who / which + 절 — 사람이나 사물에 대한 추가 정보those who are · someone who genuinely

주의할 발음

화자는 I'm, they're, you're 같은 축약형과 약화된 형태를 25번 사용합니다. 들리는 대로 짧게 발음하세요.

  • “th” 소리: breathe /bɹiːð/, mathematics /mæθ(.ə)ˈmæt.ɪks/, authentic /ɔˈθɛn.tɪk/
  • “sh”와 “zh” 소리: artificial /ˌɑː.tɪˈfɪʃ.əl/, demonstration /dɛmənˈstɹeɪʃən/, automation /ˌɔ.təˈmeɪ.ʃən/, disruption /dɪsˈɹʌpʃən/, establish /ɪˈstæb.lɪʃ/
  • 긴 단어 — 강세 위치에 주의: artificial /ˌɑː.tɪˈfɪʃ.əl/, demonstration /dɛmənˈstɹeɪʃən/, automation /ˌɔ.təˈmeɪ.ʃən/, anxiety /æŋˈzaɪ.əti/, differently /ˈdɪf.ə.ɹənt.li/

한국어 화자가 어려워하는 소리:

  • /f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: artificial /ˌɑː.tɪˈfɪʃ.əl/, helpful /ˈhɛlp.fl̩/, lifetime /ˈlaɪf.taɪm/, fewer /ˈfjuː.ɚ/, physically /ˈfɪz.ɪ.kli/
  • /v/ — ㅂ(/b/)과 구별하기: avatar /ˌæv.əˈtɑː(ɹ)/, solve /sɒlv/, actively /ˈæktɪvli/, productive /pɹəˈdʌk.tɪv/, productivity /ˌpɹɒdʌkˈtɪvəti/
  • /z/ — ㅈ이 아니라 성대를 울리는 /s/: anxiety /æŋˈzaɪ.əti/, designer /dɪˈzaɪnɚ/, physically /ˈfɪz.ɪ.kli/, nowadays /ˈnaʊ.ə.deɪz/, pause /pɔːz/

이 영상으로 연습하는 방법

  1. 먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
  2. 0.75배속으로 한 문장씩 섀도잉을 시작하고, 익숙해지면 보통 속도로 돌아갑니다.
  3. 자신의 목소리를 녹음해 원본과 비교하고, twin, employer, recruit 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.

섀도잉 방법: 단계별 전체 가이드 읽기 →