ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: Can the Tech Surge Continue?

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This is The Markets.
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I'm Chris Hussey, and today is Thursday, May 28th, and I'm here on the Goldman Sachs trading floor with Pete Callahan, who is the U.S tech,
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media, and telecom sector specialist within global banking and markets.
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Pete, thanks again for taking the time.
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Thanks for having me, Chris.
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Okay, let's start with The Markets, Pete, because we've had an almost historic run in tech off the March 30th lows.
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Hasn't been as MAG-70 as we've seen in the past.
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What do you make of the rally?
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Yeah, I'd say three things stand out to me.
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One, narrow breadth.
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Two, high velocity.
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And three, anchored by earnings growth and earnings revisions.
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So what do I mean by that?
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If I look back over the last three months, the Nasdaq is up 20 percent.
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But when you look under the hood, only about half of the stocks in the Nasdaq are even up at all over that stretch.
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So you have narrow breadth, again, led by semiconductors, which are up nearly 80 percent this year.
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Best year since 1999.
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Second, high velocity.
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The Nasdaq is off to its second best start to a year in over 25 years.
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And so we've really had a really rapid rise this year in tech stock prices.
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And finally, in terms of earnings growth, if you looked at sort of AI stocks within the S&P 500, that group was about 30 up about 30 percent this year.
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Incidentally, their earnings have also risen about 30 percent this year.
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So you are seeing multiples kept in check driven by strong earnings revisions in tech this year.
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All right.
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So, you know, you pointed to those earnings.
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Let's talk about them a little bit here first quarter results
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what'd you make of it yeah it's good earnings from tech
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i think the standouts were capex right you had another big
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wave of capex revisions i think capex estimates for calendar 27 went up to 20
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so you're now looking at something like north of 900 billion dollars of capex in 2027
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so that story is still intact
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and still pushing higher i think secondly within software i would
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say results were mixed we may talk about software later
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but some good some not good but but the nice thing is you're actually starting to see some dispersion in that space, and that's been a welcome sign for investors.
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And think finally perhaps tied to
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that first point on CapEx you are still seeing relatively tight capacity across compute and in the AI supply chain.
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And in turn you're hearing companies starting to talk about visibility extending out into calendar 27 where semiconductor
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and AI infrastructure companies are starting to get orders pushing out that far given the shortages we're seeing today.
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Let me drill down to that software point because you pointed we were going to talk about it.
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I do want to talk about it
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because the software troubles even bled over into the credit markets where private credits go through a problem
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because people were worried that they had too much software exposure.
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But lately you're starting to see the software stocks working again.
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What's going on?
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Yeah, listen, the the arts have been tough this year in software, no doubt about it.
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But you are seeing dispersion in the group.
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And I think that's something that all investors, whether long-only or hedge funds, are happy to see.
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It's all about dispersion, trying to pick leaders and laggards within the group.
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So there are still debates from here.
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Investors are curious about how you think about subscription
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and seat models versus consumption models and where we may be headed over the next couple of years.
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Investors are trying to figure out
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if software is able to deploy AI at the point of sale
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or you have this sort of incumbent versus startup debate from here.
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And then, of course, the environment's been a little bit choppy to start the year.
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You have new AI budget that's getting spent across enterprises.
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We obviously had the conflict that is still ongoing.
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And so it's been a little bit of a noisy stretch, but at least investors are saying, I can pick winners and losers.
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And that's a change from what you'd seen over the last couple of years.
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It was sort of correlation one type of pressure across the group.
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And does that winner or losers in software just come down to your ability to employ AI versus your not ability?
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Frankly, yes.
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At the moment, it's whether you are able to indicate that AI is helping your business and driving faster revenue growth.
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And if it is, the market is very happy to re-rate shares.
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Yeah, it was interesting because everybody wanted to sell software because they thought they would get disintermediated by AI, which is software.
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That's exactly right.
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So the argument here is, hey, we are the companies that are actually at
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that point with all this context in an enterprise and customers will lean on us to help deploy AI for them.
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So you mentioned semiconductors having their best year since 1999.
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On the one hand, 1999 is, you know, enthusiastic as a Knicks fan.
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We're partying like it's 1999.
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On the other hand, 1999 didn't end well, even for Knicks fans.
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We're hoping for something better this year.
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Talk to us about positioning.
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Are we over our skis?
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Where are we?
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Yeah, it's a good question.
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I think for semiconductors, listen, it's been a great start to the year.
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I think any time a group's up 80% like it is in five months, there's, of course, you have sort of these momentum dynamics.
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You have too far, too fast.
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You have all that type of stuff that kind of matters over the short term.
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But I think over the medium term, what really matters is earnings revisions, right?
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And as long as you are getting earnings revisions for this group, which helps keep multiples in track, I think investors will be comfortable adding to this group on pullbacks
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or momentum unwinds or different pockets of positioning pressures that can show up, of course, when you have moves like this.
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So I think at the end of the day, just keep tracking the earnings growth, and I'll do my best to keep this group informed.
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Please, we're going to be tapping into you.
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All right, what's the trade?
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Yeah, one group we haven't talked about yet is U.S.
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Internet.
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The group, the way I cut the data, is about lagged software on the air, which is probably surprising to people.
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There's ongoing debates about sources of funds, about ongoing investment cycles, about the health of the consumer,
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and, of course, where AI in the consumer world goes over the next couple of years.
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But as of late, you're starting to see a little bit more innovation from the product side on U.S.
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Internet companies tied to AI.
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The temperature on the consumer seems to be coming down as oil prices have reset off the highs.
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And so given that backdrop and cleaner positioning, I'll be watching the U.S.
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Internet sector from here.
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All right.
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We're going to go into June, believe it or not, next week.
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What are you watching for?
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Yeah, I mean, just two things really, right?
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It's macro data.
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So you're going to get the sort of new monthly data, NFP data, and then mid-month CPI.
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And so we're just looking for the mix of jobs, data, and then of course what the inflation story is given the geopolitical conflict.
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And then otherwise in tech, we have a bunch of user conferences and things like that across software and semiconductors.
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And so I'll be looking to see how that sets the temperature and the tone on generative AI into the summer months.
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You mentioned inflation.
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Historically, tech has been correlated with rates.
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Do rates matter to tech anymore?
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They could matter.
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At the moment, the market's OK with that.
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Candidly, there's been so many cost inflation inputs into tech
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when you think about what the sort of AI supply chains had to weather in terms of input costs.
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So I think the market looks at and says in the context of everything we're dealing with to deliver this infrastructure, it's something to keep an eye on.
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But at these levels, it has not been a primary concern.
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No, it really hasn't been.
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All right.
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I'm not looking at any of those things.
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I'm just looking at Wednesday night.
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We start the NBA finals.
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So last question.
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Can the Knicks win the championship?
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Why not?
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Why not?
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All right.
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I'll take that as a rave.
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Pete, thanks so much for joining us.
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Thanks for having me.
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That does it for this week's episode of The Markets.
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I'm Chris Hussey.
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Thanks for joining us.
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TRENDING

ยอดนิยม

เกี่ยวกับบทเรียนนี้

ในบทเรียนนี้คุณจะได้ฝึกฝนการพูดภาษาอังกฤษผ่านการฟังคลิปวิดีโอที่เกี่ยวกับตลาดเทคโนโลยี คุณจะได้เรียนรู้เกี่ยวกับแนวโน้มการเติบโตในอุตสาหกรรมเทคโนโลยี รวมถึงการวิเคราะห์การลงทุนและทิศทางของตลาด คุณจะได้ฝึกทักษะการฟังและการพูดที่จำเป็นในการอภิปรายเรื่องเทคโนโลยีและการเงิน โดยเฉพาะการพูดคุยเกี่ยวกับแนวโน้มเศรษฐกิจและข้อมูลที่สำคัญจากอุตสาหกรรมนี้

คำศัพท์และวลีสำคัญ

  • ขยายขอบเขต (breadth) – การพูดถึงการเติบโตหรือการพัฒนาของตลาด
  • การเติบโตของรายได้ (earnings growth) – การเพิ่มขึ้นของรายได้จากการลงทุน
  • ซอฟต์แวร์ (software) – โปรแกรมที่ใช้สำหรับคอมพิวเตอร์ ซึ่งเป็นส่วนสำคัญในอุตสาหกรรมเทคโนโลยี
  • การลงทุน (capex) – การใช้จ่ายในทรัพย์สินหรือเครื่องมือการผลิต
  • การจัดการความดัน (visibility) – ความสามารถในการเห็นแนวโน้มของตลาดในอนาคต
  • การคาดการณ์ (revisions) – การปรับเปลี่ยนการคาดการณ์ทางการเงินหรือการลงทุน
  • เทคโนโลยี (tech) – ทักษะและความรู้ที่เกี่ยวข้องกับเครื่องมือและการพัฒนาที่ใช้ในอุตสาหกรรม

เคล็ดลับในการฝึกฝน

เมื่อคุณฟังบทสนทนาในวิดีโอ ทำตามคำแนะนำนี้เพื่อปรับปรุงการออกเสียงภาษาอังกฤษของคุณ:

  • ฟังซ้ำหลายครั้ง – เริ่มต้นด้วยการฟังวิดีโอจนเข้าใจแนวคิดก่อนจากนั้นทำการฟังซ้ำในส่วนที่คุณสนใจ เพื่อทำความคุ้นเคยกับเสียงและน้ำเสียง
  • ฝึกพูดตาม (shadowing) – ใช้วิธี shadowspeak โดยการพูดตามในขณะที่ฟังเสียงของผู้พูดในวิดีโอ เพื่อที่จะทำให้คุณปรับปรุงการออกเสียงและจังหวะ
  • ใช้คำศัพท์ – เมื่อคุณเรียนรู้คำศัพท์ใหม่ ๆ ให้ฝึกนำไปใช้ในประโยคของคุณเอง
  • การหยุดพักระหว่างการพูด – อย่าลืมหยุดและทำความเข้าใจหลังจากแต่ละประโยคเพื่อให้สามารถดำเนินการต่อได้อย่างมั่นใจ
  • ทำแบบฝึกหัดการพูด – เขียนเสียงที่คุณอยากพูดเพื่อฝึกฝนการออกเสียงและพูดซ้ำให้ชัดเจนขึ้น

การใช้เคล็ดลับเหล่านี้จะช่วยให้คุณปรับปรุงการออกเสียงภาษาอังกฤษและฝึกพูดภาษาอังกฤษได้อย่างมีประสิทธิภาพมากยิ่งขึ้น หวังว่าคุณจะสนุกกับการเรียนรู้ผ่านคลิปวิดีโอนี้และสามารถนำไปใช้ในชีวิตจริงได้!

เทคนิค Shadowing คืออะไร?

Shadowing เป็นเทคนิคการเรียนรู้ภาษาที่ได้รับการรับรองทางวิทยาศาสตร์ พัฒนาขึ้นสำหรับการฝึกนักแปลมืออาชีพ วิธีการนี้เรียบง่ายแต่ทรงพลัง: คุณฟังเสียงภาษาอังกฤษจากเจ้าของภาษาและพูดตามทันที — เหมือนเงาที่ตามผู้พูดด้วยช่วงเวลาห่าง 1-2 วินาที การวิจัยแสดงว่าเทคนิคนี้ปรับปรุงความแม่นยำในการออกเสียง ทำนองเสียง จังหวะ การเชื่อมเสียง การฟังเข้าใจ และความคล่องแคล่วในการพูดได้อย่างมีนัยสำคัญ

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