Pratique du Shadowing: How AI Is Ruining Job Interviews - Apprendre l'anglais à l'oral avec la vidéo
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79 phrases
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If you've applied for a job recently, there's a growing chance the first person interviewing you isn't a person at all.
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They just said, OK, well, we would like to do a phone interview and we will be calling you at this time.
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And so at first, I'm like talking like I would to a person
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and then it clicks in that this is not a person.
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Nearly two thirds of job seekers surveyed in 2026 said they've already been interviewed by AI, a 12 percent increase from six months prior.
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There are several reasons why employers are leaning into AI to conduct more interviews.
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I think some companies probably are using it as a cost-saving measure if they do not have an in-house recruiter.
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Employers are also facing a historic surge in job applications, with the number of US applicants for each open role doubling since the spring of 2022, according to LinkedIn.
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I think the biggest reason would be time saved.
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One thing it's important to remember is that throughout the ups
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and downs of the economic and just sort of hiring climate over the last six or so years.
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What used to be really robust recruiting teams have been cut down quite a bit, to be sometimes even just one or two people, depending on the size of the company.
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And with the influx of applications, there are a lot of great folks out there.
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And for some companies, I imagine it is nearly impossible to screen all of their qualified applicants.
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So what does an AI interview actually look like?
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The process varies depending on the software the employer uses.
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But the system usually starts with a brief introduction, then asks a series of questions based on the job description, recording your answers along the way.
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Afterward, the software sends the hiring manager the information they might need, which could include a short summary of the conversation,
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a score showing how closely a candidate matched the job requirements, an assessment of their performance, and a final overall score or ranking.
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The hiring manager then ultimately decides who moves to the next round, which usually involves a human-to-human conversation.
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While it all sounds very convenient for the employers, AI interviews still have some obvious limitations.
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AI interview tools really stink at asking follow-up questions because LLMs are coded on what they expect the next word to be.
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And so what I've seen in those systems recently is
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that people will use gibberish with the tool and then the tool will ask a follow-up question,
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but they ask it with the gibberish embedded because it doesn't have the intelligence to ask a good next question.
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What I found is if you're pausing to think
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and you're letting a moment really sink in or you're processing the question and you're letting it go,
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it will interrupt or move you straight on to the next question without giving you the opportunity to think on it,
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noodle a little bit and then give an answer or take 30 seconds and restate what you were trying to say.
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It really does a bad job of the human element of the interviewing process.
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In response, some job seekers are deciding the tradeoff simply isn't worth it.
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They're giving me an opportunity to speak and record my answers, but if I hesitated in any sort of way,
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the recording would end and then they would move on to the next question.
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So I never really ever got to formulate any sort of answer.
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But sometimes the concerns go beyond a frustrating candidate experience.
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Researchers have also warned that AI hiring tools can reinforce bias, and complaints against some software providers allege discrimination based on factors like age, race, and disability.
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I couldn't even record the video because I have a condition called nystagmus,
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and that causes involuntary movement of my eyeballs.
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When I'm talking, my eyeballs are continuously moving.
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Every time it would stop the video and say, please look straight ahead and speak.
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I couldn't finish the video.
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I had to stop it.
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You know, and I thought that that was
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that was probably like the lowest point in my search because it was just demoralizing that,
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you know, I couldn't be treated like a human being to have a conversation with.
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According to a recent survey, nearly four in 10 U.S candidates say they've already withdrawn from a hiring process because it included an AI interview.
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12% of those surveyed said they would withdraw their application if one were required.
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That's notable in a tight labor market that currently gives employers much of the leverage.
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I have spoken with people who have varying degrees of positive to negative interactions, but I think the one through lines that it really is lacking in that human experience.
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I think having an interview in a digital environment is one of those things
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that we human beings think we're really good at, but I actually don't think we are because there are these social
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and emotional components that come up when a human is talking to a machine, right?
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There's no one there to say, it's okay, don't be nervous.
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And broadly, we also have some of
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that performance anxiety of how do I show up my best
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when I don't have a person on the other side to nod
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or confirm that I'm giving them the answer that I need?
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And, you know, the endurance of giving your best answer over
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and over again without a human interacting is something that we as a society aren't really good at.
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For job seekers who do decide to go through with an AI interview, here are a few tips.
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So I recommend you always start by being very, very clear and saying yes or no. Yes, I did this.
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No, I have not done that.
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And you need to answer that explicitly.
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All right.
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No need for nuance here.
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Remember, it's a bot on the other side.
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Really enunciate.
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Remember that you're talking to a language model and you can ask for restating more clear answers, an example of what it's saying.
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A lot of them have these conversational elements built into it.
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Candidates are really struggling with AI interviewing
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because they think it's an all new skill or
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that they should be applying a different methodology to be successful in
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that environment than they typically would in a traditional interview environment.
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The truth is, and I find myself telling people this a lot, is that the same rules apply.
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You just need to communicate about your experience in a slightly
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different way in an AI environment than you do with a person
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because there's not a person to fill in all of the gaps that you don't mention explicitly.
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Employers are hoping AI can deliver on speed and scale in hiring.
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But as applicants push back against an increasingly automated process, companies may have to find a balance between efficiency and maintaining the connection that candidates still value.
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Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale de niveau B2 s’appuie sur la vidéo « How AI Is Ruining Job Interviews ». Les mots qui reviennent le plus souvent : interview, answer, employer, hiring, candidate. Cette vidéo contient 79 phrases et 1173 mots à répéter en shadowing. La partie parlée dure 6:43. Le locuteur parle à un rythme naturel d’environ 175 mots par minute, proche d’une conversation courante. 82 % des mots font partie des 3 000 mots les plus courants en anglais ; le reste mérite d’être vu avant de commencer.
Vocabulaire clé de cette vidéo
Les 15 mots les plus avancés de la vidéo, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| seeker nom | /ˈsikəɹ/ | demandeur |
| applicant nom | /ˈæp.lə.kɪnt/ | demandeur, candidat |
| eyeball nom | /ˈaɪ.bɔl/ | globe oculaire |
| gibberish nom | /ˈd͡ʒɪ.bə.ɹɪʃ/ | baragouin, charabia |
| restate verbe | redéclarer, réaffirmer | |
| recruit verbe | /ɹɪˈkɹut/ | recruter, enrôler |
| explicitly adverbe | explicitement | |
| withdraw verbe | /wɪðˈdɹɔ/ | retirer |
| depend verbe | /dɪˈpɛnd/ | dépendre |
| automate verbe | /ˈɔ.təˌmeɪt/ | automatiser |
| conversational adjectif | /ˌkɒnvə(ɹ)ˈseɪʃənəl/ | conversationnel |
| demoralize verbe | /dɪˈmɒɹəlaɪz/ | démoraliser |
| formulate verbe | /ˈfɔː(ɹ)mjʊleɪt/ | formuler |
| frustrate verbe | /ˈfɹʌsˌtɹeɪt/ | frustrer |
| involuntary adjectif | /ɪnˈvɑ.lənˌtɛɹ.i/ | involontaire |
Les verbes à particule que vous entendrez
| Mot | Sens |
|---|---|
| come up verbe | se montrer, sortir du bois |
| cut down verbe | abattre |
| show up verbe | apparaître, se montrer se pointer |
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 have/has + participe passé — une action passée qui compte encore maintenant | you've applied · they've already been interviewed · have been cut |
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | been interviewed · have been cut · are coded |
Prononciation à surveiller
Le locuteur utilise 25 contractions et formes réduites, comme you're, don't, couldn't. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « th »: withdraw /wɪðˈdɹɔ/, methodology /ˌmɛθ.əˈdɑ.lə.d͡ʒi/
- Les sons « sh » et « zh »: gibberish /ˈd͡ʒɪ.bə.ɹɪʃ/, conversational /ˌkɒnvə(ɹ)ˈseɪʃənəl/, limitation /lɪmɪˈteɪʃən/
- Mots longs — placez bien l’accent: conversational /ˌkɒnvə(ɹ)ˈseɪʃənəl/, demoralize /dɪˈmɒɹəlaɪz/, enunciate /ɪˈnʌnsiˌeɪt/, involuntary /ɪnˈvɑ.lənˌtɛɹ.i/, limitation /lɪmɪˈteɪʃən/
Les sons difficiles pour les francophones :
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: gibberish /ˈd͡ʒɪ.bə.ɹɪʃ/, allege /əˈlɛd͡ʒ/, surge /sɝd͡ʒ/, methodology /ˌmɛθ.əˈdɑ.lə.d͡ʒi/, leverage /ˈlɛv.(ə.)ɹɪd͡ʒ/
- /r/ anglais — langue recourbée, sans frotter la gorge: seeker /ˈsikəɹ/, gibberish /ˈd͡ʒɪ.bə.ɹɪʃ/, recruit /ɹɪˈkɹut/, withdraw /wɪðˈdɹɔ/, conversational /ˌkɒnvə(ɹ)ˈseɪʃənəl/
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 seeker, applicant, eyeball.
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.