跟讀練習: How AI Is Changing the Working World - 通過影片學習英語口語
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160 句
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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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本課的詞彙與口語要點
這節口語課以影片“How AI Is Changing the Working World”為素材。 影片中反覆出現的詞有：digital, Richard, twin。 這段影片共有 128 個句子、1885 個單詞可供跟讀。 講話部分時長為 12:22。 說話人語速自然，每分鐘約 152 個詞，接近日常對話。 只有 80% 的單詞屬於英語最常用的 3,000 詞，詞彙難度較高。
影片中的重點詞彙
影片中 15 個值得學習的單詞，附發音和釋義：
| 單詞 | 發音 | 釋義 |
|---|---|---|
| twin 名詞 | /twɪn/ | 雙胞胎 /雙胞胎, 雙生子 /雙生子 |
| employer 名詞 | /ɪmˈplɔɪə/ | 僱主, 老闆 |
| recruit 動詞 | /ɹɪˈkɹut/ | 招聘, 徵兵 /徵兵 |
| routine 名詞 | /ɹuˈtin/ | 常規 /常規, 慣例 /慣例 |
| input 名詞 | /ˈɪnpʊt/ | 輸入 /輸入 |
| judgment 名詞 | /ˈd͡ʒʌd͡ʒ.mənt/ | 判斷 /判斷 |
| artificial 形容詞 | /ˌɑː.tɪˈfɪʃ.əl/ | 人造的 |
| demonstration 名詞 | /dɛmənˈstɹeɪʃən/ | 示範 /示範, 演示 |
| recruitment 名詞 | /rɪˈkruːt.mənt / | 招聘, 招收 |
| colleague 名詞 | /ˈkɒliːɡ/ | 同事, 同僚 |
| automation 名詞 | /ˌɔ.təˈmeɪ.ʃən/ | 自動化 /自動化 |
| avatar 名詞 | /ˌæv.əˈtɑː(ɹ)/ | 化身 |
| ignore 動詞 | /ɪɡˈnɔː/ | 無視 /無視, 忽略 |
| stable 名詞 | /ˈsteɪ.bəl/ | 馬廄, 馬棚 /馬棚 |
| establish 動詞 | /ɪˈstæb.lɪʃ/ | 確定 /確定 |
影片中出現的短語動詞
| 單詞 | 發音 | 釋義 |
|---|---|---|
| check out 動詞 | 退房 | |
| stand in for 動詞 | 代替 | |
| take over 動詞 | 接管, 接手 | |
| work out 動詞 | /ˌwɝk ˈaʊt/ | 計算 /計算, 算出 |
值得反覆跟讀的句子
影片中簡短而完整的句子，可以直接用在日常對話裡：
- 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?
影片中的語法
說話人最常用的結構，並附上影片中的原話：
| 結構 | 影片中的用法 |
|---|---|
| 現在完成進行時 have/has been + -ing — 以前開始、現在仍在繼續的動作 | has been collecting · have been seeing · have been asking |
| 現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事 | hasn't arrived · has sparked · has granted |
| 被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的 | is offered · is allowed · being done |
| 定語從句 who / which + 從句 — 補充說明人或事物 | those who are · someone who genuinely |
需要注意的發音
說話人用了 25 次縮略和弱讀形式，例如 I'm, they're, you're。請按聽到的簡短形式來說。
- “th” 音: breathe /bɹiːð/, mathematics /mæθ(.ə)ˈmæt.ɪks/, authentic /ɔˈθɛn.tɪk/
- “sh” 和 “zh” 音: artificial /ˌɑː.tɪˈfɪʃ.əl/, demonstration /dɛmənˈstɹeɪʃən/, automation /ˌɔ.təˈmeɪ.ʃən/, disruption /dɪsˈɹʌpʃən/, establish /ɪˈstæb.lɪʃ/
- 長單詞——注意重音位置: artificial /ˌɑː.tɪˈfɪʃ.əl/, demonstration /dɛmənˈstɹeɪʃən/, automation /ˌɔ.təˈmeɪ.ʃən/, anxiety /æŋˈzaɪ.əti/, differently /ˈdɪf.ə.ɹənt.li/
中文母語者容易讀錯的音：
- /v/ — 不要讀成 /w/，上齒輕觸下唇: avatar /ˌæv.əˈtɑː(ɹ)/, solve /sɒlv/, actively /ˈæktɪvli/, productive /pɹəˈdʌk.tɪv/, productivity /ˌpɹɒdʌkˈtɪvəti/
- 詞尾子音 — 要讀清楚，後面不要加母音: recruit /ɹɪˈkɹut/, input /ˈɪnpʊt/, judgment /ˈd͡ʒʌd͡ʒ.mənt/, generate /ˈd͡ʒɛn.ə.ɹeɪt/, recruitment /rɪˈkruːt.mənt /
- /r/ 和 /l/ 的區別: reliable /ɹɪˈlaɪəbl̩/, rely /ɹɪˈlaɪ/, differently /ˈdɪf.ə.ɹənt.li/, realistic /ˌɹɪəˈlɪs.tɪk/, translate /tɹænzˈleɪt/
如何用這段影片練習
- 先完整聽一遍影片，不要開口，記下不認識的單詞。
- 先用 0.75 倍速逐句跟讀，熟練之後再回到正常速度。
- 錄下自己的聲音並與原聲對比，特別注意 twin, employer, recruit 這類單詞。
什麼是跟讀法？
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。