Name: 7 Real Jobs That Will Disappear Due to AI
Uploaded: 2020-10-10T19:50:18.000Z
Duration: 10 min 18 s
Description: Thousands of YouTube videos with English-Chinese subtitles! Now you can learn to understand native speakers, expand your vocabulary, and improve your pronunciation...

Adverbs of manner

An actual robot that looks like a human or at least Boston dynamic's Atlas.

That's why you are probably not worried since they don't seem to hit the streets

But we don't need these kinds of robots to do your job better than you.

If you are a freshman, by the time you graduate, 4 years from now.

It will be quite difficult to find a job and 10 years from now, that job would probably

Not because robots are coming but they are already here.

In this video, you are going to learn, how automation works, which jobs are already getting

automated, and which ones are going to disappear in the next 10 years.

The reason you clicked on this video is that the robot behind youtube analyzed your behavior

and decided that you are going to click on this video.

and since you did, the algorithm got it right and now it knows a little bit more about you.

In the past automation use to mean Giant machine doing simple repetitive work, however that

Every purchase you make online, every website you visit, every google search you make tells

a little more about you to the algorithm.

Because algorithms are little robots who sit behind any tech you use and learn on their

You no longer have to teach the machine to perform a certain task, feed with a bunch

of information, they will analyze them, try millions if not billions of combinations and

We, as Humans also learn by trial and error, however, the difference is, we needed billions

of years to come to the point where we are now, and robots can learn all of that in almost

I know that the Siri on your phone seems like it is still stuck in 2011 with iPhone 4s but

voice recognition technology has improved dramatically since then.

No one wants to talk to the robot when he calls to a call center, but have you ever

wondered why call center agents have become so good at solving your problems.

It's not because they somehow got smarter but rather it's the robot that's doing the

Every call center records your voice when you call them.

Because the robot first turns your speech into text to understand your problem, and

then goes through an endless number of information within seconds to find suitable solutions

And all that is left for the agent is to click on the right solution that's on the screen.

So that step by step instruction will appear in front of him (screen).

"As soon as the customer says they want to cancel a credit card, the robot understands

that, goes ahead and gets the instructions for the agent on how to cancel a credit.

According to an article on BBC, this technology reduced the average call durations from 4.6

That might not sound much, but those saved seconds add up across millions of calls in

Call centers now need fewer agents? that already puts thousands of people out of work!

Agents don't need to be trained anymore, because robots are doing everything? so that puts

And while the agents are choosing the most suitable options, the algorithm behind the

scenes is taking note and after millions of interactions, the algorithm will learn to

be as good as a human in choosing the most suitable option from choices that the algorithm

That's when even agents will be put out of work.

that's not only where automation is taking place.

We all know about self-driving cars, you probably have seen a tesla in your neighborhood.

Every year 1.3 million people die due to car accidents, and 35 million get injured.

Basically, by the end of the day, 3287 people will die because there are cars in the streets.

That's a big number, In fact, in the last few decades, these numbers only grew exponentially.

But, what is the main cause behind so many accidents, it turns out that in almost 95

percent of the cases, its the fault of the driver.

Simply put, accidents happen when drivers aren't paying enough attention.

And that's where self-driving cars come into the picture.

Unlike humans, robots can stay focused on the road all the time.

Currently, self-driving cars have a 98% safety rate, even though that's quite hight but no

one will trust a self-driving car even if there is a 2 percent chance of an accident.

However, it's just a matter of another few years before the guys in silicon valley will

Remember, the longer we wait, the more people we are going to unintentionally kill.

But that's not the only problem with cars.

the truth is, cars are an extremely inefficient mode of transport.

On average they are only used 5 percent of the time, the other 95 percent, they are parked

And even when you drive it, you spend a big chunk of that time looking for parking.

Self-driving won't only solve that problem, but completely get rid of traffic.

I know that it sounds like a complete Utopia, however, CGP grey has a great video on that

which link I will live in the description.

Despite all the advantages of this innovation, millions of people who's livelihood depends

on driving will be out of work, which includes, 3.5 million truck drivers in America alone.

At first, it might seem like robots will only take routine and repetitive jobs, but a sophisticated

job is nothing but a combination of many simple repetitive tasks.

What that means is that the algorithm is also about to replace jobs such as accounting.

Robots are simply better at analyzing financial statements, auditing, bookkeeping and on and

That doesn't only concern accounting, most of the law jobs are subject to automation

because algorithms are just better at going through an endless number of papers, legal

They can even argue about parking tickets and handle divorce cases.

So to become a lawyer, you either become exceptional at your job, or robots will replace you.

That also includes most of the administrative jobs, assistants, secretaries, middle management,

For the last few decades, we have created an unbelievable amount of content.

And as we know, the more data we feed to these algorithms, the faster they learn, so robots