The Rise of the Machines – Why Automation is Different this Time

by birtanpublished on September 19, 2020

How long do you think it will take before machines do your job better than you do automation used to mean big stupid machines doing repetitive work in factories today they can lab aircraft diagnose cancer and trade stocks we are entering a new age of automation unlike

Anything that's come before according to a 2013 study almost half of all jobs in the US could potentially be automated in the next two decades but wait hasn't automation been around for decades what's different this time the things

That used to be simple innovation made human work easier and productivity rose which means that more staff or services can be produced per hour using the same amount of human workers this eliminated many jobs it also created other jobs

That were better which was important because the growing population needed work so in a nutshell innovation higher productivity fewer old jobs and many new and often better jobs overall this worked well for a majority of people and

Living standards improved there's a clear progression in terms of what humans did for a living for the longest time we worked in agriculture with the Industrial Revolution this shift into production jobs and as automation became

More widespread humans shifted into service jobs and then only a few moments ago in human history the Information Age happened suddenly the rules were different our jobs are now being taken over by machines much faster than they

Were in the past that's wiring of course but innovation will clearly save us right while new information age industries are booming they are creating fewer and fewer new jobs in 1979 General Motors employed

More than 800,000 workers and made about 11 billion u.s. dollars in 2012 Google made about 14 billion u.s. dollars while employing 58,000 people you may not like this comparison but Google is an example of what created new jobs in the past

Innovative new industries old innovative industries are running out of steam just look at cars when they became a thing 100 years ago they created huge industries cars transformed our way of life our infrastructure and our cities

Millions of people found jobs either directly or indirectly decades of investment kept this momentum going today this process is largely complete innovation in the car industry does not create as many jobs as in Houston while

Electric cars are great and all they won't create millions of new jobs but wait what about the internet some technologists argue that the Internet is an innovation on a power of the introduction of electricity if we go

With this comparison we see how our modern innovation differs from the old one the internet created new industries but they're not creating enough jobs to keep up with population growth or to compensate for the industries the

Internet is killing at its peak in 2004 blockbuster had 84,000 employees and made 6 billion US dollars in revenue in 2016 Netflix had 4,500 employees and made 9 billion dollars in revenue for take us for example with a full-time

Team of just 12 people courtesan 2 reaches millions of people a TV station with the same amount of viewers needs way more employees innovation in the information age doesn't equate to the creation of enough new jobs which would

Be bad enough on its own but now a new wave of automation and a new generation of machines is slowly taking over to understand this we need to understand ourselves first human progress is based on the division of labor as we advanced

Over thousands of years our jobs became more and more specialized while even our smartest machines are bad at doing complicated jobs they are extremely good at doing now redefined and predictable tasks this is what destroyed factory

Jobs but look at a complex job long and hard enough and you'll find that it's ready just many narrowly defined and predictable tasks one after another machines are on the brink of becoming so good at breaking down complex jobs into

Many predictable ones but for a lot of people there will be no further room to specialize we on the verge of being out completed digital machines do this fly machine learning which enables them to acquire information and skills by

Analyzing data this makes them become better at something through the relationships they discover machines teach themselves we make this possible by giving a computer a lot of data about the thing we wanted to become better at

So a machine all the things you bought online and it will slowly learn what to recommend to you so you buy more things machine learning is now meeting more of its potential because in recent years humans have started to gather data about

Everything behavior weather patterns medical records communication systems travel data and of course data about what we do at work what we've created by accident is a huge library machines can use to

Learn how humans do things and learn to do them better these digital machines might be the biggest job killer of all they can be replicated instantly and for free when they improve you don't need to invest in big metal things you can just

Use the new code and they have the ability to get better fast how fast if your work involves complex work on a computer today you might be out of work even sooner than the people who still have jobs in factories there are actual

Real-world examples of how this transition might be happening a San Francisco company offers a project management software for big corporations which is supposed to eliminate middle management positions when it's hired for

A new project the software first decides which jobs can be automated and precisely where it needs actual professional humans it then helps assemble a team of freelancers over the Internet the software then

Distributes tasks to the humans and controls the quality of the work tracking individual performance until the project is complete ok this doesn't sound too bad while this machine is killing one job it

Creates jobs for freelancers right well as the freelancers complete their tasks learning algorithms track them and gather data about their work and which tasks it consists of so what's actually happening is that the freelancers are

Teaching a machine how to replace them on average this software reduces costs by about 50% in the first year and by another 25% in the second year this is only one example of many there are machines and programs getting as good or

Better than humans in all kinds of fields from pharmacists to analysts journalists to radiologists cashiers bank tellers or the unskilled worker flipping all of these jobs won't disappear

Overnight but fewer and fewer humans will be doing we'll discuss a few cases in a follow-up video but while jobs disappearing it's bad it's only half of the story it's not enough to substitute old jobs with new ones we need to be

Generating new jobs constantly because the world population is growing in the past we have solved this through innovation but since 1973 the generation of new jobs in the US has begun to shrink and the first decade of the 21st

Century was the first one where the total amount of jobs in the u.s. did not grow for the first time in a country that needs to create up to 150,000 new jobs per month just to keep up with population growth this is bad news this

Is also starting to affect standards of living in the past it was seen as obvious that with rising productivity more and better jobs would be created but the numbers tell a different story in 1998 US workers worked a total of 194

Billion hours over the course of the next 15 years their output increased by 42 percent but in 2013 the amount of hours worked by US workers was still 194 billion hours what this means is that despite productivity growing drastically

Thousands of new businesses opening up and the u.s. population growing by over 40 million there was no growth at all when the number of hours worked in 15 years at the same time wages for new university graduates in the US have been

Declining for the past decade one up to 40 percent of new graduates are forced to take on jobs that don't require a degree productivity is separating from human neighbor the nature of innovation and

The information age is different from everything we encountered before this process started years ago and is already well underway even without new disruptions like self-driving cars or robot accountants

It looks like automation is different this time this time the machines might really take our jobs our economies are based on the premise that people consume but if fewer and fewer people have decent work who will be doing all the

Consuming are we producing ever more cheaply only to arrive at a point where too few people can actually buy all our stuff and services all will the future see a tiny minority of the Civic who own the machines dominating the rest of us

And does our future-ready have to be that grim while we were fairly dark in this video it's felt a certain that things will turn out negatively the Information Age and modern automation could be a huge opportunity to change

Human society and reduced poverty and inequality drastically it could be a seminal moment in human history we'll talk about this potential and possible solutions like a universal basic income in part two of this video series we need

To think thick and fast because one thing's for sure the machines are not coming they are already here this video took us about 900 hours to make and we've been working on it for over nine months projects like this one would not

Be possible without your support on if you want to help us out you get a personal coach because out bird in return that would be really useful we based much of this video on two very good books the rise of the

Robots and the second Machine Age you can find links to both of them in the video description highly recommended also we make a little robot poster you can buy it and a lot of other stuff in our dftba shop this video is part of a

Larger series about how technology is already changing and will change human life forever if you want to continue watching we have a few playlists

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