Pratica di Shadowing: How AI Is Ruining Job Interviews - Impara a parlare inglese con i video

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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.

About This Lesson

In questa lezione, imparerai l'inglese con i video analizzando un dialogo sul ruolo dell'AI nelle interviste di lavoro. Praticherai l'ascolto, la comprensione e la pronuncia, migliorando la tua capacità di comunicare in contesti professionali. Oltre a capire i concetti chiave, lavorerai sulla "shadowspeak" per imitare la velocità e il tono naturale delle conversazioni in inglese.

Parole e Frasi Chiave

  • AI interview: Intervista condotta da intelligenza artificiale
  • Cost-saving measure: Misura per risparmiare costi
  • Follow-up questions: Domande di follow-up
  • Reinforce bias: Rinforzare i pregiudizi
  • Trade-off: Compromesso

Tips per la Pratica

Per migliorare la pronuncia inglese e la pratica di conversazione in inglese, usa la tecnica del "shadow speak": ascolta un frammento del video, pausa e ripeterlo immediatamente, imitando l'intonazione e la velocità. Concentrati su frasi come "Nearly two-thirds of job seekers..." o "AI interview tools really stink at...", che hanno una struttura comune in contesti professionali. Ricorda: la chiave è la ripetizione. Anche 10 minuti al giorno ti aiuteranno a ottenere risultati veloci. Non temere gli errori: la pratica costante è il segreto per parlare inglese con confidenza!

Cos'è la tecnica dello Shadowing?

Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.