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Google, Amazon and Microsoft Pivot Hiring to India as US Visa Rules Tighten — episode cover art
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Google, Amazon and Microsoft Pivot Hiring to India as US Visa Rules Tighten

About this story

Google, Amazon and Microsoft shift hiring to India as US visa rules tighten — Silicon Valley exports the jobs. HSK 3 Chinese listening practice.

This is an HSK 3-4 Chinese listening episode that runs about 7 minutes. The full Mandarin script is shown with tap-for-pinyin and a line-by-line English translation, so you can listen and read at once — comprehensible input in the sense of Stephen Krashen's i+1 theory. It teaches 17 key vocabulary words such as 招聘、拒绝、严格 and walks through 5 grammar patterns, each explained in English with examples. The same news story is retold at 4 difficulty levels — use the level selector above to find the version that is challenging but still understandable for you.

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原文

Read the complete story in Chinese. Reveal pinyin and English only when you need them.

美国科技公司最新招聘趋势我们发现一个非常有意思现象
以前大家觉得想在最好的科技公司工作必须美国
亚马逊微软这些公司都在美国很多办公
世界各地聪明希望拿到签证美国工作
但是现在情况发生一些变化
如果这些聪明人才不能美国那么美国科技公司主动人才所在地方
最近几个这些公司印度招聘数量增加非常
一个明显信号
我们来看一些具体数据
根据最新统计月初时候这些公司印度四千多个职位正在
不仅是一个数目
五年这些公司印度增加大约三万三千员工
这个数字一年增加百分十八
说明什么
说明美国公司印度人才需求越来越
为什么发生这种变化
背后主要原因美国签证政策
大家可能听说 H-1B 签证
一种专门外国技术人才工作签证
以前美国科技公司主要这种签证国外工程带到美国
但是最近几年这种签证变得越来越难了
特别是在新的政策签证费用增加很多
以前申请这种签证费用大概是五千美元
但是现在费用增加到了十万美元左右
公司来说一个巨大成本
除了问题申请难度变大
很多申请都会拒绝
政府申请人的检查变得非常严格
甚至可以现在拿到这个签证以前难了好几
对于公司来说改变他们计算方法
如果一个带到美国要花十万美元而且不一定成功为什么不去他们国家办公
就是现在正在发生事情
一位招聘公司经理完全改变商业逻辑
所以我们看到这些公司开始印度大量
而且他们不是普通员工
可能以为他们只是简单工作放到国外
其实不是这样
现在招聘数据显示只有很少一部分简单入门工作
大概只有百分十五工作那些经验不到三年
那么剩下工作什么
大部分都是非常高级技术工作
比如人工智能也就是我们说的 AI
还有机器学习计算网络安全
这些工作需要非常技术水平
说明印度很多这样人才
一位专家最近几年增长最快一次
现在那里很多人才不仅仅是基础工作
他们都在技术研究
特别是在深度学习人工智能方面这些非常经验
因为人才美国公司愿意重要工作放到那里
我们再来看看这个公司
新闻报道公司正在印度新的办公
印度一个城市那里很多科技公司
计划一个新的办公
这个办公非常大概有两百四十万平方英尺
如果这个办公坐满可以容纳万名员工
印度员工数量增加一倍以上
其中很多专门机器学习人工智能
需要很高知识水平比如设计处理数据
其实已经美国以外最大基地
不仅仅是其他公司也是一样
微软美国以外最大研发中心也在
亚马逊情况差不多
这些公司承诺印度投入很多
亚马逊计划投入三百五十亿美元
微软计划投入一百十五亿美元
这些都是为了未来几年发展人工智能
专家认为这个趋势六年变得明显
如果美国签证政策继续这么严格公司继续国外
一个大学研究发现一个规律
如果美国拒绝一个外国人的签证申请公司不会这么放弃
公司别的国家代替
一般来说拒绝一个签证公司国外大概一个
这些工作机会主要流向印度中国加拿大
对于美国来说可能是一个损失
因为这些聪明人才没有美国而是别的国家美国公司工作
但是对于公司来说唯一办法
他们需要人才研究开发新的产品
如果人才不能美国公司必须走出去
这种做法叫作
以前主要是为了省钱便宜劳动
但是现在一样
现在目的为了找到最好的人才
不管这个哪里只要他有技术公司需要
改变全球科技工作分布
印度现在已经拥有全世界一半全球能力中心员工
这些中心跨国公司建立专门机构
它们不仅仅是服务研发分析
现在大概有百万印度这样中心工作
说明全球科技力量正在重新分配
对于想在科技行业工作来说可能是一个好消息
因为不需要非要美国才能公司
公司来到你的国家来到你的城市
只要你有特别是在人工智能这些领域机会很多
总的来说签证限制没有阻止科技发展
只是改变发展地点
以前世界中心
现在科技中心开始变得分散
虽然美国依然但是其他国家也在
对于全世界科技发展来说也许一件好事
因为知识技术全世界流动快了
我们以后可能看到更多这样情况
公司不再看重你在哪个国家而是看重你会什么技术
就是我们适应环境
对于正在学习技术学生来说也是一个提醒
不管你在哪里学好先进技术重要
比如现在人工智能
只要掌握这些技术不用担心找不到工作
因为如果当地没有工作国际公司
就是全球带来机会
虽然政策变化但是人才需求不会变的
只要科技进步这种需求一直存在
我们继续关注这个话题看看未来什么新的变化
English transcript reference

Speaking of the latest hiring trends in US tech companies, we discovered a very interesting phenomenon.

Previously, everyone felt that if you wanted to work at the best tech companies, you had to go to the US.

Big companies like Google, Amazon, and Microsoft all have many offices in the US.

Smart people from all over the world hoped to get a visa and go to work in the US.

But now, the situation has undergone some changes.

If these smart talents cannot go to the US, then US tech companies will take the initiative to go to where the talent is.

In recent months, the number of hires by these big companies in India has increased very quickly.

This is a very obvious signal.

Let's look at some specific data.

According to the latest statistics, at the beginning of February, these big companies had over four thousand positions hiring in India.

This is not a small number.

In 2025, these companies added approximately 33,000 new employees in India.

This figure increased by 18 percent compared to the previous year.

What does this indicate?

This indicates that US companies' demand for Indian talent is becoming greater and greater.

Why did this change occur?

The main reason behind this is that US visa policies have changed.

You may have heard of the H-1B visa.

This is a work visa specifically for foreign technical talent.

Previously, US tech companies mainly relied on this visa to bring foreign engineers to the US.

But in recent years, getting this visa has become increasingly difficult.

Especially under the new policies, the cost of the visa has increased a lot.

Previously, applying for this visa cost about 5,000 US dollars.

But now, the cost has increased to around 100,000 US dollars.

For companies, this is a huge cost.

Besides the money issue, the difficulty of applying has also increased.

Many applications get rejected.

The government's scrutiny of applicants has also become very strict.

One could even say that wanting to get this visa now is several times harder than before.

For companies, this changes their calculation method.

If bringing a person to the US costs 100,000 dollars, and success isn't guaranteed, then why not go to their country to open an office?

This is exactly what is happening right now.

A manager at a recruiting firm said this completely changed the logic of business.

Therefore, we see these big companies starting to hire heavily in India.

Moreover, they are not hiring ordinary employees.

You might assume they are just moving simple jobs abroad.

Actually, that is not the case.

Current hiring data shows that only a very small portion consists of simple entry-level jobs.

Only about 15 percent of jobs are for those with less than three years of experience.

So what are the remaining jobs?

Most are very advanced technical jobs.

For example, artificial intelligence, which is what we often call AI.

Also machine learning, cloud computing, and cybersecurity.

These jobs require a very high level of technical skill.

This indicates that India has a lot of such talent.

An expert said this is the fastest growth seen in recent years.

He said there is a lot of talent there now, not just doing basic work.

They are all doing very deep technical research.

Especially in deep learning and artificial intelligence, these people are very experienced.

It is precisely because there is talent that US companies are willing to place important work there.

Let's look at the company Google again.

News reports say that Google's parent company is looking for a new office in Bangalore, India.

Bangalore is a city in India where there are many tech companies.

Google plans to rent a new large office.

This office is very large, about 2.4 million square feet.

If this office is fully occupied, it can accommodate 20,000 employees.

This would more than double the number of Google employees in India.

Among them, many are specialized in machine learning and artificial intelligence.

This requires a high level of knowledge, such as designing chips and processing data.

In fact, Bangalore is already Google's largest base outside the US.

It's not just Google; other companies are the same.

Microsoft's largest R&D center outside the US is also in Bangalore.

Amazon's situation is similar.

These companies have all promised to invest a lot of money in India.

Amazon plans to invest 35 billion US dollars.

Microsoft also plans to invest 17.5 billion US dollars.

This money is all for developing artificial intelligence in the coming years.

Experts believe this trend will become more obvious in 2026.

If US visa policies continue to be this strict, companies will continue hiring abroad.

A university study discovered a pattern.

If the US rejects a foreigner's visa application, the company won't just give up.

The company will hire someone in another country to replace them.

Generally speaking, for every rejected visa, the company will hire about one person abroad.

These job opportunities mainly flow to India, China, and Canada.

For the US, this might be a loss.

Because these smart talents did not go to the US, but are working for US companies in other countries.

But for the companies, this is the only way.

They need talent to conduct research and develop new products.

If talent cannot come to the US, the companies must go out.

This practice is called "offshoring."

Previous outsourcing was mainly to save money and find cheap labor.

But the current outsourcing is different.

The current goal is to find the best talent.

No matter where this person is, as long as they have skills, the company needs them.

This has also changed the distribution of global tech jobs.

India now possesses half of the world's "Global Capability Center" employees.

These centers are specialized institutions established by multinational companies.

They don't just provide services, they also do R&D and analysis.

Now there are about two million Indians working in such centers.

This shows that global technological power is being redistributed.

For those who want to work in the tech industry, this might be good news.

Because you don't necessarily have to go to the US to enter a big company.

Big companies will come to your country, to your city.

As long as you have real skills, especially in new fields like artificial intelligence, there are many opportunities.

In summary, visa restrictions have not stopped the development of technology.

It just changed the location of development.

Previously, Silicon Valley was the center of the world.

Now, the center of technology is starting to become dispersed.

Although the US is still very strong, other countries are also getting stronger.

For the technological development of the whole world, this might be a good thing.

Because knowledge and technology are flowing faster around the world.

We may see more situations like this in the future.

Companies no longer focus on which country you are in, but on what skills you have.

This is the new environment we must adapt to.

For students currently studying technology, this is also a reminder.

No matter where you are, learning the most advanced technology is the most important thing.

Like the currently most popular artificial intelligence.

As long as you master these technologies, you don't need to worry about not finding a good job.

Because if there are no good jobs locally, international big companies will also come to find you.

This is the new opportunity brought by globalization.

Although policies will change, the demand for talent will not change.

As long as technology is still progressing, this demand will always exist.

We will also continue to follow this topic to see what new changes will occur in the future.

Listen again

Try it without the transcript and notice what sounds clearer.

What vocabulary does this episode teach?

词汇
zhāopìnto recruit; hiring

To invite applications for a job.

jùjuéto reject; to refuse

To turn down a request, offer, or application.

yángéstrict

Rigorous or stringent; often used with requirements or rules.

zēngjiāto increase

To become greater in amount, number, or degree.

shēnqǐngto apply; application

To make a formal request, usually in writing.

gǎibiànto change; to alter

To make or become different.

zhuānménspecialized; specially

Intended for a specific purpose or area.

jīchǔfoundation; basic

The underlying basis or principle; elementary.

chéngshìcity

HSK 1-3. city.

qūshìtrend

The general direction in which something is developing or changing.

réngōng zhìnéngartificial intelligence (AI)

The theory and development of computer systems able to perform tasks that normally require human intelligence.

yúnjìsuàncloud computing

The practice of using a network of remote servers hosted on the internet to store, manage, and process data.

yánfāR&D (Research and Development)

Short for 研究与开发; activities companies undertake to innovate and introduce new products.

wàibāooutsourcing

To obtain goods or services from an outside or foreign supplier.

xīnpiànchip (computer)

A small piece of semiconducting material used to make an integrated circuit.

luójílogic

Reasoning conducted or assessed according to strict principles of validity.

róngnàto accommodate; to hold

To have enough space for someone or something.

* beyond level超纲词

What grammar patterns appear in this episode?

语法

把 + Object + Verb + Complement

The 'Ba-sentence' construction is used to indicate how an action affects an object, emphasizing the result or disposal of the object.

美国科技公司主要靠这种签证把国外的工程师带到美国去。

美国公司才愿意把重要的工作放到那里。

你可能以为他们只是把简单的工作放到国外去做。

对于...来说

This structure means 'as for...' or 'from the perspective of...', used to introduce the person or entity affected by a situation.

这对公司来说,是一个巨大的成本。

对于公司来说,这就改变了他们的计算方法。

对于想在科技行业工作的人来说,这可能是一个好消息。

除了... (以外),...也/还...

This pattern means 'Besides... / In addition to..., ...also...'. It indicates that something is included along with something else.

除了钱的问题,申请的难度也变大了。

它们不仅仅是做服务,还做研发和分析。

只要...就...

This conditional pattern means 'As long as..., then...'. It expresses that a certain condition is sufficient for a result to occur.

不管这个人在哪里,只要他有技术,公司就需要他。

只要你有真本事,特别是在人工智能这些新领域,机会是很多的。

只要掌握了这些技术,你就不用担心找不到好工作。

对...的需求

This structure expresses 'the demand for [something]'. '对' introduces the target of the demand.

这说明美国公司对印度人才的需求越来越大。

虽然政策会有变化,但是对人才的需求是不会变的。

Proper Nouns

专有名词
美国MěiguóUnited States印度YìndùIndia谷歌GǔgēGoogle亚马逊YàmǎxùnAmazon微软WēiruǎnMicrosoft班加罗尔Bānjiāluó'ěrBangalore中国ZhōngguóChina加拿大JiānádàCanada硅谷GuīgǔSilicon Valley

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