跟讀練習: How AI Is Ruining Job Interviews - 通過影片學習英語口語
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79 句
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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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為何這個影片是絕佳的英語口語練習素材？
這個關於AI面試的影片不僅話題新穎，還包含大量貼近真實職場的口語表達，非常適合用來練習英語口語。影片中的對話自然流暢，涵蓋了求職場景中的常見表述，比如“the trade-off simply isn't worth it”（這種權衡根本不值得）、“reinforce bias”（強化偏見）等，既能學習實用詞彙，又能模仿 native speaker 的語氣和節奏。對於想要提升影子跟讀（shadow speech）能力的學習者來說，這樣的素材能幫助你適應不同語速和語調，快速提高口語反應力。
拆解自然表達，學習地道口語
我們來看看影片裡幾個聽起來特別自然的句子，分析它們的精妙之處：
- “I'm like talking like I would to a person and then it clicks in that this is not a person.” 這裡的“click in”用得非常生動，表達“突然意識到”，比生硬的“realize”更口語化。模仿時注意“like”的弱化發音，讓句子更流暢。
- “They're giving me an opportunity to speak and record my answers, but if I hesitated in any sort of way, the recording would end.” 轉折詞“but”後的內容用了虛擬語氣，符合英語表達習慣。“in any sort of way”替換了“anyway”，使句子更自然，避免重複。
- “The truth is, and I find myself telling people this a lot, is that the same rules apply.” “The truth is”和“and I find myself telling people this a lot”的插入語結構，讓說話者的語氣更親切，彷彿在與聽眾對話。練習時注意停頓，不要一口氣讀完。
簡單有效的影子跟讀練習步驟
利用這個影片進行看影片學英語的影子跟讀練習，只需遵循以下“重複-錄製”迴圈：
- 聽一句，跟一句：播放影片中的一個短句（如“Employers are hoping AI can deliver on speed and scale in hiring”），暫停後立即跟讀，注意模仿發音、語調和節奏。
- 錄製自己的發音：用手機或錄音裝置錄下自己的跟讀內容，對比原音，檢查是否有發音不準或節奏過快/過慢的問題。
- 重點攻克難句：挑選影片中較長的句子（如“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”），重複練習5-10次，直到流暢自然。
- 整段複述：嘗試複述影片中的一個段落，無需逐字逐句，重點是抓住核心意思並用地道口語表達。錄製後回放，感受自己的進步。
堅持每天練習15-20分鐘，不僅能提高英語發音，還能增強口語表達的自信心。記住，影子跟讀的關鍵是“模仿”和“對比”，通過不斷重複，讓地道表達成為你的習慣！
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 |
|---|---|
| 現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事 | you've applied · they've already been interviewed · have been cut |
| 被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的 | been interviewed · have been cut · are coded |
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。