Pratique du Shadowing: How AI Is Changing the Working World - Apprendre l'anglais à l'oral avec la vidéo

Choisissez un mode d'entraînement

Chaque mode ouvre une salle d'entraînement en plein écran.

160 phrases

Si les phrases sont trop courtes ou trop longues, cliquez sur Edit pour les ajuster.

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.

108

And employers are using AI to write job descriptions, write the job ads that you see online.

109

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.

113

AI looks for patterns in data.

114

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.

119

As AI changes the way companies recruit, employers and job seekers need to decide where automation helps and where human judgment is still essential.

120

While AI handles the tedious stuff, that human touch is what really matters.

121

Creative gigs might seem safe, but not quite.

122

In China there's already a full -blown AI film industry, complete with its own festivals.

123

Some AI characters even call themselves actors, like Tilly Norwood from a London -based AI -driven studio.

124

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.

125

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,

126

as these examples show.

127

Hi, my name is Christoph.

128

I'm a commercial and voiceover actor.

129

And yes, AI is causing me and the entire industry.. to lose a lot of work.

130

I'm a fashion designer and stylist.

131

I've lost a lot of jobs due to AI.

132

Is AI killing creative jobs or is it all just scaremongering?

133

Well, AI can create realistic videos, answer complex questions, write texts, compose music and even speak.

134

This is an AI generated voice.

135

Voice actors like Christoph Walter are among those who are increasingly losing work to AI in advertising and video games,

136

though the feature film market remains stable.

137

I don't get what's so great about taking a job from someone who genuinely enjoys it and finds fulfillment in it.

138

Taking that job away just so that you can have someone else do the same work for 10 hours at minimum wage,

139

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.

142

This stylist from Berlin, let's call her Pia, wants to remain anonymous.

143

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.

145

And now it can be easily fixed by AI tools.

146

AI always has to learn first in order to perform its task.

147

And it needs the right data to do so.

148

To generate an authentic voice, it needs a human model.

149

It's basically the metadata that tells you how I speak, how I emphasize words, how I pause,

150

how I breathe, how I play certain accents.

151

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

153

and they see the potential for labor market disruption.

154

And they jump ahead to the labor market disruption is happening right now.

155

Christoph Walter doesn't think he'll be able to keep his job and is already working on establishing a second career in marketing.

156

It's not humans or AI, it's humans working with AI that will shape how we work in the future.

157

So don't ignore it, learn to use it.

158

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.

159

That's it from me.

160

Bye.

Télécharger l'application

Tout pour parler couramment

Prononciation IAChaque phrase notée

Phonétique (IPA)Maîtrisez chaque son

VocabulaireEnrichissez votre lexique

Jeu de vocabulaireApprenez en jouant

Scanner le QR

Download on theApp Store Get it onGoogle Play

FOR YOU

Vidéo recommandée

63 phrases

Vocabulaire et conseils d’expression pour cette leçon

Cette leçon d’expression orale s’appuie sur la vidéo « How AI Is Changing the Working World ». Les mots qui reviennent le plus souvent : digital, Richard, twin. Cette vidéo contient 128 phrases et 1885 mots à répéter en shadowing. La partie parlée dure 12:22. Le locuteur parle à un rythme naturel d’environ 152 mots par minute, proche d’une conversation courante. Seuls 80 % des mots font partie des 3 000 mots les plus courants en anglais, le vocabulaire est donc exigeant.

Vocabulaire clé de cette vidéo

15 mots de la vidéo à retenir, avec leur prononciation et leur sens :

Mot	Prononciation	Sens
twin nom	/twɪn/	jumeau, jumelle
employer nom	/ɪmˈplɔɪə/	employeur, employeuse
increasingly adverbe		de plus en plus
scan verbe	/skæn/	scanner, fouiller
recruit verbe	/ɹɪˈkɹut/	recruter, enrôler
routine nom	/ɹuˈtin/	routine
judgment nom	/ˈd͡ʒʌd͡ʒ.mənt/	jugement
artificial adjectif	/ˌɑː.tɪˈfɪʃ.əl/	artificiel
generate verbe	/ˈd͡ʒɛn.ə.ɹeɪt/	générer
demonstration nom	/dɛmənˈstɹeɪʃən/	démonstration
recruitment nom	/rɪˈkruːt.mənt /	recrutement
colleague nom	/ˈkɒliːɡ/	collègue, confrère
automation nom	/ˌɔ.təˈmeɪ.ʃən/	automatisation
disruption nom	/dɪsˈɹʌpʃən/	interruption, perturbation
avatar nom	/ˌæv.əˈtɑː(ɹ)/	avatar, incarnation

Les verbes à particule que vous entendrez

Mot	Prononciation	Sens
go off verbe		exploser
check out verbe		mater, regarder
keep up verbe		maintenir, conserver
pay off verbe		soudoyer
stand in for verbe		remplacer, suppléer
take over verbe		reprendre
work out verbe	/ˌwɝk ˈaʊt/	calculer

Des phrases à répéter

Des phrases courtes et complètes de la vidéo, à réutiliser dans la conversation de tous les jours :

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?

La grammaire de cette vidéo

Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :

Structure	Dans la vidéo
Present perfect continu have/has been + -ing — une action commencée avant et toujours en cours	has been collecting · have been seeing · have been asking
Present perfect have/has + participe passé — une action passée qui compte encore maintenant	hasn't arrived · has sparked · has granted
Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait	is offered · is allowed · being done
Propositions relatives who / which + proposition — une précision sur une personne ou une chose	those who are · someone who genuinely

Prononciation à surveiller

Le locuteur utilise 25 contractions et formes réduites, comme I'm, they're, you're. Prononcez-les sous leur forme courte, telles que vous les entendez.

Les sons « th »: breathe /bɹiːð/, mathematics /mæθ(.ə)ˈmæt.ɪks/, authentic /ɔˈθɛn.tɪk/
Les sons « sh » et « zh »: artificial /ˌɑː.tɪˈfɪʃ.əl/, demonstration /dɛmənˈstɹeɪʃən/, automation /ˌɔ.təˈmeɪ.ʃən/, disruption /dɪsˈɹʌpʃən/, establish /ɪˈstæb.lɪʃ/
Mots longs — placez bien l’accent: artificial /ˌɑː.tɪˈfɪʃ.əl/, demonstration /dɛmənˈstɹeɪʃən/, automation /ˌɔ.təˈmeɪ.ʃən/, anxiety /æŋˈzaɪ.əti/, differently /ˈdɪf.ə.ɹənt.li/

Les sons difficiles pour les francophones :

/h/ — il se souffle, il n’est pas muet: helpful /ˈhɛlp.fl̩/, homework /ˈhoʊmˌwɝk/, headhunt /ˈhɛdˌhʌnt/
/tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: judgment /ˈd͡ʒʌd͡ʒ.mənt/, generate /ˈd͡ʒɛn.ə.ɹeɪt/, wage /weɪd͡ʒ/, engage /ɪnˈɡeɪd͡ʒ/, genuinely /ˈd͡ʒɛn.ju.ɪn.li/
/r/ anglais — langue recourbée, sans frotter la gorge: recruit /ɹɪˈkɹut/, routine /ɹuˈtin/, generate /ˈd͡ʒɛn.ə.ɹeɪt/, demonstration /dɛmənˈstɹeɪʃən/, recruitment /rɪˈkruːt.mənt /

Comment s’entraîner avec cette vidéo

Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme twin, employer, increasingly.

Qu'est-ce que la technique du Shadowing ?

Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.

Technique du shadowing : lire le guide complet étape par étape →

Pratique du Shadowing: How AI Is Changing the Working World - Apprendre l'anglais à l'oral avec la vidéo

Choisissez un mode d'entraînement

Télécharger l'application

CEO warns AI could cause serious employment crisis wiping out white collar jobs

Robots with connected brains

The AI Revolution in Chemical Engineering: What You Need to Know

AI challenges human identity | Vietnam Today

AI Made the Most Passive Side Hustle Even Easier

Will robots take our jobs? | CNBC Explains

Is AI About to Change Movies Forever?

Advantages and Disadvantages of AI

Every Generation Thinks This Time Is Different: The AI Job Myth

AI & Future Jobs: Skills You NEED Now!

We’re already using AI more than we realize

The (Overdue) Collapse of AI Layoffs (here's the proof)