Shadowing Practice: Advanced Vocabulary and Fluency Practice with the News - Learn English Speaking with Video
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Let's improve your professional English by learning advanced vocabulary and expressions from a recent news article.
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At the end of the lesson, I will read parts of the article
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and you will have a chance to repeat after me so that you can improve your speaking fluency and your accent.
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This article is from the Los Angeles Times.
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The article talks about the fact that 50% of all american workers are worried
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that ai artificial intelligence will take their job what about you do you think
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that ai could replace your job in the future do you think
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that your job is in danger
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because of ai the title of the article is companies keep
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slashing jobs how worried should workers be about ai replacing them to slash means to cut
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or to reduce something drastically or suddenly so
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when companies slash jobs they are laying off a large number
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of employees usually to save money before we look at the first paragraph i want to quickly let you know
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that this entire lesson is available as a downloadable pdf
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if you've already purchased my course 400 advanced words you must
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know for fluent english you now have access to a free bonus section called free bonus lessons mastering vocabulary from today's news.
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This free bonus course includes 11 recent newspaper articles that I covered in my previous videos,
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and it includes all of the definitions and practice exercises that I'm teaching you in this video,
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plus extra speaking questions to help you use the words in your own sentences, and that way you're much more likely to remember them.
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If you haven't joined the course yet be sure to check
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out the link below to get more information the course includes
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seven hours of video content downloadable pdfs for all of the lessons quizzes to test your progress
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and i talk a lot about the american accent i go
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over key pronunciation rules to help you sound more natural
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and more confident
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when you're using these new words okay let's get started with the first part of the article tech executives economists
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and other experts say that ai could automate mundane and tedious tasks
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and also create new roles tech companies that are cutting jobs
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and leaning more on artificial intelligence are also disrupting themselves let's
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look at the word mundane it says ai could automate mundane and tedious tasks mundane means boring or repetitive tasks.
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If something is mund and not interesting.
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For can say washing dishes c job became mundane after we can say she got tired
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mundane tasks every day to how some other people feel like things are just focusing on something so mundane and so unimportant.
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Even experts spend most of the time doing mundane repetitive tasks.
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Let's look at tedious, mundane and tedious tasks.
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And if something is tedious, it takes a long time and it's boring.
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And we can say copying data by hand is a tedious job.
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That lecture was long and tedious.
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It was a tedious task to clean every corner of the house.
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Is your work tedious?
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Let's listen to how some other people used it.
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This can be a very slow, frustrating, tedious process.
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Well, this is a tedious, incredibly time-consuming process.
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The labs were so tedious, I said, this is not for me.
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So I switched to English.
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Let's look at leaning.
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Cutting jobs and leaning more on artificial intelligence.
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That means they're depending on it more.
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To lean on is to depend on or to rely on something or someone.
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For example, I can say, I can always lean on my friends for support.
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Many people lean on technology to help them work.
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Do you have someone in your life that you can lean on?
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And you can tell your friends, you can lean on me.
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And that means I'm always available for you.
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I'm here if you need me you can lean on me
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and do you know the name of this very famous tower
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it's the leaning tower of pisa let's look at the next paragraph at salesforce a software company
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that helps businesses manage customer relationships chief executive mark benioff said last week
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that ai is already doing 30 to 50 percent of the
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company's work other tech leaders have chimed in earlier this year
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anthropic an ai startup flashed a big warning ai could wipe
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out more than half of all entry-level white-collar jobs in the
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next one to five years let's look at to chime in other tech leaders chimed in.
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That means they gave their opinion.
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To chime in is to join or to add your comment in a conversation.
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For example, we can say, he chimed in with his thoughts during the meeting.
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If you would like to add something, please chime in.
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Let's listen to how some other people use to chime in.
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Allison and Teresa, I invite you both to chime in.
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Let me start and then Richard can chime in.
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Want to chime in on that, Randy?
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And let's look at to wipe out.
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AI could wipe out more than half of all entry-level white-collar jobs.
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To wipe out means to completely remove or to destroy.
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We can say one bad investment wiped out all of his savings.
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The flood wiped out the village.
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Let's look at entry-level white-collar jobs.
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These are the types of jobs that AI may replace first.
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A white-collar job is an office job, and an entry-level job is the job that you do when you first start your career.
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We can say, he's looking for an entry-level job in finance.
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She got an entry-level white-collar job at the bank.
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Let's look at the next paragraph.
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Ready or not, AI is reshaping,
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displacing, and creating new roles as technology's impact on the job market ripples across multiple sectors.
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The AI frenzy has fueled anxiety from workers who fear their jobs could be automated.
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Roughly half of U.S workers are worried about how AI may be used in the workplace in the future,
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and few think AI will lead to more job opportunities in the long run.
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According to a Pew Research Center report, let's look at the verb to ripple.
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The article says, as technology's impact on the job market ripples across multiple sectors.
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AI's impact is rippling across industries.
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And that means it is spreading and it is affecting many areas.
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So to ripple is to spread out slowly like waves.
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This is a ripple.
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We can say the wind created small ripples on the surface of the lake.
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But you can also use to ripple this way.
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The news rippled through the company.
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Or we can say a ripple effect.
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The new policy had a ripple effect on all departments.
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And let's look at frenzy.
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The article says the AI frenzy has fueled anxiety from workers.
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Frenzy is anxiety or excitement.
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For example, we can say a buying frenzy.
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The holiday sales caused a shopping frenzy.
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We can also say a frenzy of excitement or a frenzy of fear or a frenzy of panic.
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Let's look at the verb to fuel.
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The AI frenzy has fueled anxiety from workers.
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And if you fuel something, you make it stronger and it grows faster.
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And we usually use it this way, to fuel a fire.
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Dry wood and leaves helped fuel the fire or to fuel a car.
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They stopped to fuel the car before continuing their journey.
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But we can also use to fuel this way, to fuel growth.
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Technology continues to fuel economic growth.
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We can also say to fuel anger, to fuel fear, or to fuel ambition.
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Her struggles fueled her ambition to succeed.
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If you've been watching my videos recently, then you know the meaning of the next word, roughly.
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Roughly half of US workers are worried.
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Roughly means approximately or about.
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You can say roughly 30 people came to the meeting.
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The trip cost roughly $500.
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And let's look at few.
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Do you know the difference between few and a few?
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It's a pretty big difference look at this example.
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What is the difference between these two sentences?
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I have a few problems or I have few problems.
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Which one is preferable?
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Which one is better?
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It's better to have few problems.
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That means you have very few problems.
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You don't have very many problems.
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You want to express the fact that there's a lack of problems.
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But if you say I have a few problems, then it means you do have some problems.
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So that little article, a, completely changes the meaning.
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The article says, few think that AI will lead to more job opportunities.
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And that means that almost nobody thinks that AI will lead to more job opportunities.
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In fact, it's the opposite.
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They think that there will be fewer jobs because of AI.
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They're pessimistic about it.
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Have you ever used idiomatic expression in the long run, the article states, will lead to more job opportunities in the long run.
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In the long run means over a long period of time.
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For example, you can say, it may be hard now, but it's better in the long run.
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Saving money is smart in the long run.
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It's a very common expression.
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Let's listen to how some other people used it.
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But right now, as much as it hurts, in the the long run, you're going to be happy that you did it.
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What do you think might happen in the long run, Eric?
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So you might as well live by your values because in the long run, that's the best way to live.
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Let's look at another paragraph.
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The heightened fear comes as major tech companies, such as Microsoft, Intel, Amazon,
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and Meta, cut workers, push for more efficiency,
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and promote their ai tools tech companies have rolled out ai powered features
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that can generate code analyze data develop apps
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and help complete other tedious tasks ai isn't just taking jobs
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it's really rewriting the rule book on what work even looks
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like right now said robert lucido senior director of strategic advisory
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at magnet a company based in fulsom california to heighten is a verb in the past tense is heightened
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and it's also an adjective heightened let's pronounce it correctly first
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repeat after me heightened heightened heightened fear heightened means increased or made stronger
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we can say the news heightened my anxiety his speech heightened
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our awareness let's look at the phrasal verb to roll out tech companies have rolled out ai-powered features and
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that means tech companies are rolling out new ai tools they are releasing them to roll out is to introduce
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or to launch something new we can say the company rolled
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out a new product they will roll out the service next week.
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The school rolled out a new program.
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Let's look at the idiomatic expression to rewrite the rule book.
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AI is rewriting the rule book.
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To rewrite the rule book is to change the normal way that things are done.
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For example, we can say he rewrote the rule book on how to run a business.
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He did it in his own way.
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He did it in an original way.
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We can say her new way of teaching is rewriting the rule book in education.
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And AI is rewriting the rule book for many jobs.
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And now let's read parts of the article again to practice your accent.
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I will read and I will pause to give you a chance to repeat.
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And pay attention to which words I'm stressing and pay attention to how I'm connecting the words and where I'm pausing.
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And try to do exactly the same thing so that your accent can sound natural.
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And of course, pay attention to the pronunciation of the words also.
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Okay, repeat after me.
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Tech executives, economists, and other experts
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say that AI could automate mundane and tedious tasks and also create new roles.
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Tech companies that are cutting jobs and leaning more on artificial intelligence are also disrupting themselves.
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At Salesforce, a software company that helps businesses manage customer relationships,
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Chief Executive Mark Benyoff said last week,
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that AI is already doing 30 to 50% of the company's work.
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Other tech leaders have chimed in.
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Earlier this year, Anthropic, an AI startup, flashed a big warning.
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AI could wipe out more than half of all entry-level white-collar jobs in the next one to five years.
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Ready or not, AI is reshaping, displacing, and creating new roles.
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As technology's impact on the job market ripples across multiple sectors.
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The AI frenzy has fueled anxiety from workers who fear their jobs could be automated.
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Roughly half of US workers are worried about how AI may be used in the workplace in the future.
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And few think AI will lead to more job opportunities in the long run.
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According to a Pew Research Center report,
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the heightened fear comes as major tech companies such as Microsoft,
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Intel, Amazon, and Meta.
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Cut workers push for more efficiency and promote their AI tools.
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Tech companies have rolled out AI-powered features that can generate code,
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analyze data, develop apps, and help complete other tedious tasks.
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AI isn't just taking jobs.
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It's really rewriting the rulebook.
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on what work even looks like right now.
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And remember, this whole lesson is available as a downloadable PDF
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plus the lessons of 10 other previous videos
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that I made on YouTube where I was teaching you expressions and vocabulary from the newspaper.
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And this is a free bonus section to the course 400 Advanced Words You Must Know for Fluent English.
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To learn more about that course, plus the other Accurate English courses, go to accurateenglish.com.
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Thanks for watching and keep practicing your English.
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Bu dersin kelimeleri ve konuşma notları
Bu B2 seviyesindeki konuşma dersi “Advanced Vocabulary and Fluency Practice with the News” videosuna dayanıyor. En çok tekrarlanan kelimeler: tedious, tech, article, fuel, frenzy. Bu videoda gölgeleme çalışması için 206 cümle ve 2307 kelime var. Konuşma bölümü 17:51 sürüyor. Konuşmacı dakikada yaklaşık 129 kelimelik dengeli bir hızla konuşuyor; gölgeleme için rahat bir tempo. Kelimelerin %82’i İngilizcede en sık kullanılan 3.000 kelime arasında; geri kalanına başlamadan önce bakmakta fayda var.
Bu videodaki önemli kelimeler
Videodaki en ileri düzey 15 kelime, telaffuzu ve anlamıyla:
| Kelime | Telaffuz | Anlam |
|---|---|---|
| ripple isim | /ˈɹɪp(ə)l/ | dalgacık, dalgalanma |
| wipe fiil | /waɪp/ | silmek |
| collar isim | /ˈkɑlɚ/ | yaka |
| verb isim | /vɝb/ | fiil, eylem |
| paragraph isim | /ˈpæɹəɡɹæf/ | paragraf, fıkra |
| accent isim | /ækˈsɛnt/ | vurgu, tonlama |
| vocabulary isim | /vəˈkæb.jə.lə.ɹi/ | kelime hazinesi, kelime kadrosu |
| pronunciation isim | /pɹəˌnʌn.siˈeɪ.ʃən/ | telaffuz, okunuş |
| fluent sıfat | /ˈfluənt/ | akıcı |
| economist isim | /iˈkɑ.nə.mɪst/ | ekonomist, iktisatçı |
| bore fiil | /boɹ/ | burgulamak |
| pause isim | /pɔːz/ | mola, teneffüs |
| workplace isim | /ˈwɝkˌpleɪs/ | iş yeri |
| excitement isim | /ɪkˈsaɪtmənt/ | heyecan, teheyyüç |
| adjective isim | /ˈæd͡ʒ.ɪk.tɪv/ | sıfat, önad |
Duyacağınız deyimsel fiiller
| Kelime | Anlam |
|---|---|
| roll out fiil | sunmak |
| lay off fiil | işten çıkarmak |
Tekrar etmeye değer cümleler
Videodan, günlük konuşmada yeniden kullanabileceğiniz kısa ve tam cümleler:
- Let's look at tedious, mundane and tedious tasks.
- Is your work tedious?
- Let's listen to how some other people used it.
- Do you have someone in your life that you can lean on?
- Let's look at entry-level white-collar jobs.
Bu videodaki dil bilgisi
Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:
| Yapı | Videoda |
|---|---|
| Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem | you've already purchased · haven't joined · have chimed |
| Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli | could be automated · is heightened · are done |
Dikkat edilecek telaffuzlar
Konuşmacı I'm, you're, isn't gibi kısaltılmış biçimleri 17 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.
- “sh” ve “zh” sesleri: reshape /ɹiːˈʃeɪ̯p/, pronunciation /pɹəˌnʌn.siˈeɪ.ʃən/, ambition /æmˈbɪʃ.ən/
- Uzun kelimeler — vurguyu doğru yere koyun: vocabulary /vəˈkæb.jə.lə.ɹi/, idiomatic /ˌɪd.iː.əˈmat.ɪk/, pronunciation /pɹəˌnʌn.siˈeɪ.ʃən/, repetitive /ɹɪˈpɛtɪtɪv/, economist /iˈkɑ.nə.mɪst/
Türkçe konuşanların zorlandığı sesler:
- /w/ — dudaklar yuvarlak, /v/ değil: wipe /waɪp/, workplace /ˈwɝkˌpleɪs/, quiz /kwɪz/
- Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: frenzy /ˈfɹɛnzi/, pronunciation /pɹəˌnʌn.siˈeɪ.ʃən/, fluent /ˈfluənt/, startup /ˈstɑɹtˌʌp/, fluency /ˈfluːənsi/
- /æ/ — “e”den daha açık: paragraph /ˈpæɹəɡɹæf/, accent /ækˈsɛnt/, vocabulary /vəˈkæb.jə.lə.ɹi/, anthropic /ænˈθɹɒp.ɪk/, analyze /ˈæn.əˌlaɪz/
Bu videoyla nasıl çalışılır
- Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
- Normal hızda cümle cümle tekrar edin; ritminiz konuşmacıyla aynı olana kadar her cümleyi yineleyin.
- Kendinizi kaydedin ve orijinaliyle karşılaştırın; ripple, wipe, collar gibi kelimelere özellikle dikkat edin.
Gölgeleme Tekniği Nedir?
Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.