シャドーイング練習: How AI Is Changing the Working World - 動画で英語スピーキングを学ぶ

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Will AI take your job or will it work for you?

AI can analyze medical scans, design ads, translate languages and code.

Check out this AI twin that helps its owner manage his workload.

AI can already do a lot of what humans do, but the great AI jobs apocalypse hasn't arrived yet.

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?

Steam engines, assembly lines, computers.

Every tech revolution has sparked anxiety about the future of jobs.

In 2025, Anthropic CEO Dario Amodei warned that AI could eliminate up to half of all entry -level jobs.

One year later, he focused on how AI can help businesses grow.

Even in sectors outside of tech, the outlook isn't quite as bleak anymore.

The consulting firm Ernest & Young regularly conducts large -scale surveys of CEOs.

In early 2025, 46 % of them expect that AI would lead to significant job cuts.

By May 2026, that figure had dropped to just 20%.

Many believe AI is creating new opportunities.

For example, how a company is using AI twins.

Meet technology consultant Richard Skellert.

And now, meet

Digital Richard, his digital twin.

My job is to amplify Richard's original intelligence.

I help Richard and his team learn faster, see connections and solve bigger problems.

Human Richard has been collecting loads of his data for the last four years.

He has granted access to his photos, bank accounts and emails to his digital twin.

With AI tools like

Cloud or ChatGPT, he feeds them into Digital Richard.

Every single meeting, Digital Richard is in the room, recorded.

So it comes in as an input.

So all these inputs, therefore, are growing each day.

It's like a wave.

It's going off and getting bigger each day.

Colleagues and clients can chat with Digital Richard, while a master copy sits securely offline.

But the digital twin cannot make decisions independently.

Digital Richard cannot go off and do anything without Human Richard.

So I set the guardrails, I set the governance.

Richard owns me.

He decides what I learn, what I'm allowed to do and which decisions need his approval.

I can challenge his thinking, but I cannot take his place.

Every employee in Richard Skellert's company is offered a digital twin.

The result, he says, has been an enormous increase in productivity.

The digital twins are fast, are never sick and work around the clock.

Richard and his colleagues can use their time for other tasks that require a human touch.

It's a trend that's accelerating very, very fast.

You might have seen

Mark Zuckerberg is using his own digital twin.

And I know of many, many, many business leaders.

But the kinks haven't been all worked out yet.

For example, who owns your digital twin?

Richard Skellert thinks that each employee owns their twin and

that companies would need to pay a fee if they continue to use it in case the employee leaves the company.

He also wouldn't want his digital twin to stand in for him as a dad.

But when he's not around, his 11 -year -old son

Ben is allowed to use

Digital Richard to help with his maths homework.

Only the one. Do I trust

Digital Richard to speak to my children?

Yes, I do.

Because it's me.

It's an extension of me.

It's not artificial intelligence.

It's my original intelligence.

So I do trust it.

I guess I don't love him in the same way

because I can physically have my dad and I can hug him

and do whatever I want to him because he's my dad.

But with digital Richard, he's more like to help me all the time.

Richard Skellert is not afraid that his digital twin could replace him.

For him, the human always remains at the center.

Oh, well done.

A digital twin can be helpful and feel like a personal upgrade

if it has reliable guardrails and if you feed it the right data based on a skill set.

With routine tasks increasingly being done by AI, young graduates are now finding it hard to land an entry -level job,

like Sai Pranavi from Dresden, Germany.

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.

More than 300 applications sent and hardly any offers.

Is AI to blame?

We have been seeing a lot of companies who have cut down a lot of workforce

because they are replacing them with AI.

Many young people in Germany are in the same situation.

There are fewer entry -level jobs and employers are now looking for different skills.

In software development, some routine programming tasks are increasingly being taken over by generative AI.

AI.

A newly trained software engineer or computer scientist who has specialized in traditional programming would find it more difficult to keep up.

They'll need to actively engage with what AI is capable of today.

They'll have to build those skills.

It's still unclear how exactly AI will reshape how we work.

But in the future, you will need AI for many jobs.

Universities need to adapt.

Digital processes, automation and artificial intelligence still play too small a role in many degree programs.

Actually, everything needs to change.

We have the opportunity to learn differently, with university students interacting on a more personal level with AI.

It can explain the same concept again and again, and I see great potential in that.

Pranavi studied at the Dresden University of Technology.

After months of searching, she found a job.

Her persistence and willingness to learn new skills has paid off.

You might spend hours polishing your CV, but keep in mind, AI is increasingly being used to screen applications and shortlist candidates.

So if you're job hunting, what does that mean for you?

Nowadays, if you're applying for a job, your first interview might not be with a person, but with an AI agent.

It scans your CV and compares your skills with those of hundreds of other applicants.

You see indeed an avatar, a human avatar.

And what we hear a lot from candidates as well,

100

is that what they miss is an opportunity really to present themselves and to distinguish them so from others.

101

In this demonstration, candidates complete multiple choice questions and answer spoken interview prompts.

102

They also verify their identity through a facial scan that is matched with their ID document.

103

More and more recruitment companies around the world are using AI technologies like this headhunting office in London.

104

Here, recruiters say application numbers have increased sharply as both candidates and companies rely more on AI tools.

105

The company recruits for jobs in finance, technology and business services at different levels.

106

Candidates are using AI to try and help them tailor their CVs, write their cover letters.

107

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.

110

If you're applying for jobs, AI can be useful, but it is also changing the rules of the game.

111

A clear and well -structured CV matters more than ever because many systems now read applications automatically.

112

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.

115

We try and use it to make our recruiters more productive

116

so they can actually get to the important human elements of the recruitment process.

117

But the change that we've noticed over the last three to four years,

118

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,

140

doesn't come close to serving the purpose as well as what you could have produced in just 15

141

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.

144

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.

148

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.

152

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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このレッスンの語彙とスピーキングのポイント

このスピーキングレッスンは、動画「How AI Is Changing the Working World」を教材にしています。繰り返し出てくる語は次のとおりです：digital, Richard, twin。この動画には、シャドーイング用の文が128文、単語が1885語あります。音声の長さは12:22です。話す速さは1分あたり約152語で、日常会話に近い自然なペースです。英語の頻出3,000語に含まれる単語は80%だけなので、語彙は難しめです。

この動画の重要語彙

動画に出てくる覚えておきたい単語15語を、発音と意味つきで紹介します。

単語	発音	意味
twin 名詞	/twɪn/	双子
employer 名詞	/ɪmˈplɔɪə/	雇用者
recruit 動詞	/ɹɪˈkɹut/	募集する
routine 名詞	/ɹuˈtin/	日課, ルーティン
judgment 名詞	/ˈd͡ʒʌd͡ʒ.mənt/	判決, 裁き
artificial 形容詞	/ˌɑː.tɪˈfɪʃ.əl/	人工の
generate 動詞	/ˈd͡ʒɛn.ə.ɹeɪt/	生む, 生み出す
demonstration 名詞	/dɛmənˈstɹeɪʃən/	実証
recruitment 名詞	/rɪˈkruːt.mənt /	募集, 求人
colleague 名詞	/ˈkɒliːɡ/	同僚, 同業者
automation 名詞	/ˌɔ.təˈmeɪ.ʃən/	自動化, オートメーション
avatar 名詞	/ˌæv.əˈtɑː(ɹ)/	天降, 天下り
ignore 動詞	/ɪɡˈnɔː/	無視する, 忽略する
stable 名詞	/ˈsteɪ.bəl/	馬小屋, 厩舎
extension 名詞	/ɪkˈstɛnʃən/	拡張, 拡大

動画に出てくる句動詞

単語	意味
check out 動詞	試験する, 検査する
pay off 動詞	報われる
take over 動詞	引き受ける

繰り返し練習したい文

動画に出てくる短く完結した文です。日常会話でそのまま使えます。

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?

この動画の文法

話し手がよく使っている文型を、動画の実際の表現とともに紹介します。

文型	動画での表現
現在完了進行形 have/has been + -ing — 以前に始まり今も続いている動作	has been collecting · have been seeing · have been asking
現在完了形 have/has + 過去分詞 — 過去の出来事が今も関係している	hasn't arrived · has sparked · has granted
受動態 be + 過去分詞 — 誰がするかより、何が起きるかに焦点を当てる	is offered · is allowed · being done
関係詞節 who / which + 節 — 人や物について情報を加える	those who are · someone who genuinely

注意したい発音

話し手はI'm, they're, you'reなど、短縮形や弱形を25回使っています。聞こえたとおりの短い形で発音しましょう。

「th」の音: breathe /bɹiːð/, mathematics /mæθ(.ə)ˈmæt.ɪks/, authentic /ɔˈθɛn.tɪk/
「sh」と「zh」の音: artificial /ˌɑː.tɪˈfɪʃ.əl/, demonstration /dɛmənˈstɹeɪʃən/, automation /ˌɔ.təˈmeɪ.ʃən/, disruption /dɪsˈɹʌpʃən/, establish /ɪˈstæb.lɪʃ/
長い単語（アクセントの位置に注意）: artificial /ˌɑː.tɪˈfɪʃ.əl/, demonstration /dɛmənˈstɹeɪʃən/, automation /ˌɔ.təˈmeɪ.ʃən/, anxiety /æŋˈzaɪ.əti/, differently /ˈdɪf.ə.ɹənt.li/

日本語話者が苦手な音：

/r/ と /l/ の区別 — /l/ は舌先を歯茎につけ、/r/ はどこにもつけない: reliable /ɹɪˈlaɪəbl̩/, rely /ɹɪˈlaɪ/, differently /ˈdɪf.ə.ɹənt.li/, realistic /ˌɹɪəˈlɪs.tɪk/, translate /tɹænzˈleɪt/
/v/ — /b/ にならないように、上の歯を下唇に当てる: avatar /ˌæv.əˈtɑː(ɹ)/, solve /sɒlv/, actively /ˈæktɪvli/, productive /pɹəˈdʌk.tɪv/, productivity /ˌpɹɒdʌkˈtɪvəti/
/f/ — 「フ」ではなく、上の歯と下唇で出す: artificial /ˌɑː.tɪˈfɪʃ.əl/, helpful /ˈhɛlp.fl̩/, lifetime /ˈlaɪf.taɪm/, fewer /ˈfjuː.ɚ/, physically /ˈfɪz.ɪ.kli/

この動画での練習方法

まず声を出さずに動画を最後まで聞き、知らない単語をメモします。
まず0.75倍速で一文ずつシャドーイングし、慣れてきたら通常の速度に戻します。
自分の声を録音して元の音声と比べます。twin, employer, recruitなどの単語に特に注意しましょう。

シャドーイングとは？英語上達に効果的な理由

シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。

シャドーイングのやり方: ステップ別の完全ガイドを読む →

シャドーイング練習: How AI Is Changing the Working World - 動画で英語スピーキングを学ぶ

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