Technology could kill 5 million jobs by 2020!

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Technology could kill 5 million jobs by 2020
by Ivana Kottasova


Five million jobs in the world's leading economies could disappear over the next five years because of advances in technology.

Developments in artificial intelligence, robotics, and biotechnology, would disrupt the business world in a similar way to previous industrial revolutions, the World Economic Forum said in a report published Monday.

Administrative and white collar office jobs are most at risk from a "fourth industrial revolution," the forum said on the eve of its annual meeting in Davos this week.


The impact of the tech revolution is the central topic of this year's gathering of the world's leaders and major business figures in the Swiss mountain resort.

The forum surveyed senior executives from over 350 of the biggest companies in 15 of the world's major emerging and developed economies. Together, those economies account for 65% of the global workforce.

Related: Smart robots could soon steal your job

It found that as many as 7.1 million jobs in the world's richest countries could be lost through redundancy and automation. Those losses would be partially offset by the creation of 2.1 million new opportunities in sectors such as tech, professional services and media.

Countries will have to invest in transforming their workforce if they want to keep up with the changes and avoid a worse case scenario of "talent shortages, mass unemployment and growing inequality," said Klaus Schwab, the founder and chairman of the World Economic Forum.

Investing in education and adult learning programs is a good place to start.

Around 65% of children starting primary school today will end up working in jobs that don't yet exist, and their future training is crucial, according to the report.

Insisting on more diverse workforces in terms of gender, ethnicity and age, will also be vital for companies that want to succeed in the rapidly changing world.

Gonna be a lot more 18-34 year olds living with there parents in the future.
 
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Hundred most at risk jobs for automation

100 JOBS MOST AT RISK OF BEING REPLACED BY ROBOTS
RANKING PROBABILITY OF BEING REPLACED OCCUPATION
1 0.99 Telemarketers
2 0.99 Title Examiners, Abstractors, and Searchers
3 0.99 Sewers, Hand
4 0.99 Mathematical Technicians
5 0.99 Insurance Underwriters
6 0.99 Watch Repairers
7 0.99 Cargo and Freight Agents
8 0.99 Tax Preparers
9 0.99 Photographic Process Workers and Processing Machine Operators
10 0.99 New Accounts Clerks
11 0.99 Library Technicians
12 0.99 Data Entry Keyers
13 0.98 Timing Device Assemblers and Adjusters
14 0.98 Insurance Claims and Policy Processing Clerks
15 0.98 Brokerage Clerks
16 0.98 Order Clerks
17 0.98 Loan Officers
18 0.98 Insurance Appraisers, Auto Damage
19 0.98 Umpires, Referees, and Other Sports Officials
20 0.98 Tellers
21 0.98 Etchers and Engravers
22 0.98 Packaging and Filling Machine Operators and Tenders
23 0.98 Procurement Clerks
24 0.98 Shipping, Receiving, and Traffic Clerks
25 0.98 Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic
26 0.98 Credit Analysts
27 0.98 Parts Salespersons
28 0.98 Claims Adjusters, Examiners, and Investigators
29 0.98 Driver/Sales Workers
30 0.98 Radio Operators
31 0.98 Legal Secretaries
32 0.98 Bookkeeping, Accounting, and Auditing Clerks
33 0.98 Inspectors, Testers, Sorters, Samplers, and Weighers
34 0.98 Models
35 0.97 Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop
36 0.97 Credit Authorizers, Checkers, and Clerks
37 0.97 Payroll and Timekeeping Clerks
38 0.97 Agricultural and Food Science Technicians
39 0.97 Telephone Operators
40 0.97 Real Estate Brokers
41 0.97 File Clerks
42 0.97 Counter and Rental Clerks
43 0.97 Prepress Technicians and Workers
44 0.97 Motion Picture Projectionists
45 0.97 Camera and Photographic Equipment Repairers
46 0.97 Cashiers
47 0.97 Ophthalmic Laboratory Technicians
48 0.97 Log Graders and Scalers
49 0.97 Pesticide Handlers, Sprayers, and Applicators, Vegetation
50 0.97 Grinding and Polishing Workers, Hand
51 0.97 Crushing, Grinding, and Polishing Machine Setters, Operators, and Tenders
52 0.97 Dental Laboratory Technicians
53 0.97 Textile Bleaching and Dyeing Machine Operators and Tenders
54 0.97 Farm Labor Contractors
55 0.97 Electromechanical Equipment Assemblers
56 0.97 Shoe Machine Operators and Tenders
57 0.97 Team Assemblers
58 0.97 Woodworking Machine Setters, Operators, and Tenders, Except Sawing
59 0.97 Bridge and Lock Tenders
60 0.96 Billing and Posting Clerks
61 0.96 Ushers, Lobby Attendants, and Ticket Takers
62 0.96 Cooks, Restaurant
63 0.96 Fabric Menders, Except Garment
64 0.96 Gaming Dealers
65 0.96 Locomotive Engineers
66 0.96 Textile Winding, Twisting, and Drawing Out Machine Setters, Operators and Tenders
67 0.96 Model Makers, Wood
68 0.96 Surveying and Mapping Technicians
69 0.96 Secretaries and Administrative Assistants, Except Legal, Medical, and Executive
70 0.96 Rock Splitters, Quarry
71 0.96 Counter Attendants, Cafeteria, Food Concession, and Coffee Shop
72 0.96 Switchboard Operators, Including Answering Service
73 0.96 Compensation and Benefits Managers
74 0.96 Office Clerks, General
75 0.96 Receptionists and Information Clerks
76 0.96 Dispatchers, Except Police, Fire, and Ambulance
77 0.95 Jewelers and Precious Stone and Metal Workers
78 0.95 Postal Service Clerks
79 0.95 Grinding, Lapping, Polishing, and Buffng Machine Tool Setters, Operators, and Tenders, Metal and Plastic
80 0.95 Landscaping and Groundskeeping Workers
81 0.95 Adhesive Bonding Machine Operators and Tenders
82 0.95 Electrical and Electronic Equipment Assemblers
83 0.95 Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders Metal and Plastic
84 0.95 Animal Breeders
85 0.95 Print Binding and Finishing Workers
86 0.95 Operating Engineers and Other Construction Equipment Operators
87 0.95 Library Assistants, Clerical
88 0.95 Nuclear Power Reactor Operators
89 0.95 Bill and Account Collectors
90 0.95 Textile Cutting Machine Setters, Operators, and Tenders
91 0.95 Weighers, Measurers, Checkers, and Samplers, Recordkeeping
92 0.95 Manicurists and Pedicurists
93 0.94 Paralegals and Legal Assistants
94 0.94 Agricultural Inspectors
95 0.94 First-Line Supervisors of Housekeeping and Janitorial Workers
96 0.94 Door-to-Door Sales Workers, News and Street Vendors, and Related Workers
97 0.94 Tire Builders
98 0.94 Hotel, Motel, and Resort Desk Clerks
99 0.94 Helpers, Painters, Paperhangers, Plasterers, and Stucco Masons
100 0.94 Excavating and Loading Machine and Dragline Operators


Read more: Study reveals 100 jobs most and least at risk of automation
Follow us: @MailOnline on Twitter | DailyMail on Facebook


Any of yours on the list?
 

Voice of Reason

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I recommend this book. It gives both insight into the future and a solid strategy of how to navigate it.
 

Doobie Doo

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:yeshrug: Ah well, it's natural progress.

How many people were fukked out of job manually lighting street lights when timers and electricity came out? How many elevator operators were fukked when Elevators became push button?

How many jobs did the INDUSTRIAL Industry in the early 1900s eliminate vs create?


It's progress. You either expand your knowledge base and grow or be crying like these rednecks when unqualified immigrants take your shyt tech jobs. Imagine a dude who takes your job in 2020 and right now in 2016 the mofo in some 3rd world country using a Commodore 64
 
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:yeshrug: Ah well, it's natural progress.

How many people were fukked out of job manually lighting street lights when timers and electricity came out? How many elevator operators were fukked when Elevators became push button?

How many jobs did the INDUSTRIAL Industry in the early 1900s eliminate vs create?


It's progress. You either expand your knowledge base and grow or be crying like these rednecks when unqualified immigrants take your shyt tech jobs. Imagine a dude who takes your job in 2020 and right now in 2016 the mofo in some 3rd world country using a Commodore 64

Ya'll keep calling this a natural progress. There is nothing "natural" about automation. It might not be in our lifetime(or maybe it will be) but eventually robots will be able to do every job a human can do. Cheaper and better. How's that for "natural" progress. this isn't shyt like the industrial age.

What Happens When Robots Can Do All the Jobs?

One day, not too far from now, we’re going to experience the greatest unemployment crisis in human history. Whether that will be good or bad depends entirely on how we prepare for it.

What happens when technology advances so far ahead that machine intelligence can perform all human labor? It may sound nice at first – perhaps even utopian – but the implications are more frightening than you might think.

This topic popped up when we looked at jobs that robots should take over, including many occupations that involve sales, data research, and transportation. In response to that post, one of our readers, Dmitry, posed an interesting question:

A much more pressing question is: what will “replaced” humans do? [Aside from the] ever-dwindling “elite” groups of creators, servitors and owners, there’ll be no “logical need” for the rest of the jobless – thus “non-earning” – population to exist in the capitalist paradigm.

Great question! While nobody can say for sure, plenty of minds brighter than my own have explored what such a scenario might entail. Let’s see what’s in store for us.

The Rise of Human-Level Intelligence
We are on the cusp of a tech-based societal transformation that will be at least as big as that of the Industrial Revolution. This isn’t just machine-driven automation for tedious manual labor. We’re talking about man-made creations that can “think” at a human level – or even beyond.

To be fair, that second-wave revolution won’t actually be here for quite some time. Optimistic projections put that kind of breakthrough in the 2040s or 2050s while more conservative models predict the 2080s or 2090s. So, we have anywhere from a few decades to close to a century.






But when you look at the advancements made in the past few years, it’s hard not to get excited over the possibilities. A few decades might seem far away, but that time is going to zip on by and the breakthrough will arrive before you know it.

For example, driverless cars are on the horizon. It’s not as sexy an idea as, say, hoverboards or flying cars, but it’ll still have an enormous impact on the way we live our lives and conduct commerce. Driverless cars aren’t generally intelligent in the same way that people are, but driving is a big, complicated, subtle cognitive task which is quickly moving into the reach of robots, and that’s a sign of things to come.

It’s not even necessarily clear that traditionally intellectual jobs are safe. Even in the near future, machines like IBM’s Watson system that famously won on Jeopardy may take over data-heavy jobs like doctor and lawyer, thanks to their ability to consume and integrate far more information than humans. In fact, traditionally intellectual jobs may be among the first to go. Ironically, some of the tasks we think of requiring enormous intelligence (like those that depend on an enormous amount of domain knowledge) are proving much easier for machines than relatively basic tasks like cleaning a house or making a burger.


We also shouldn’t rule out robotic creativity because it now seems that robots canbe creative. Cutting edge robots today can compose music, write news stories, and paint artwork. Here’s a song written by a piece of software called “Emily Howell.”


Again, we’re not at a point where robots can compete head-on with human imagination, but these are steps in that direction.

What about on the battlefield? Microsoft has already developed a line of robotic security guards that are used to maintain security on one of its campuses. It wouldn’t require much imagination to take it one step further: autonomous war machines that are smarter and deadlier than humans. DARPA contractor Boston Dynamics has developed powerful humanoid robots with potential military applications, such as their latest quadruped, SPOT:



We’re making our robots smarter and better, but maybe we should be wary about where that might take us.

Robot Intelligence, Human Employment
Imagine it’s a century from now and our continuous progress in artificial intelligence has resulted in robots with human-level intellectual capabilities. In this hypothetical, robots can equal humans in all intellectual, mathematical, engineering, and creative pursuits.

What do you think the work force looks like in this scenario?

When the Industrial Revolution hit in the mid-1700s, people freaked out – the term ‘luddite’ comes from the anti-automation movement of this period. A single machine could match the production output of a hundred humans, essentially putting those people out of their jobs. Thus, machines lead to unemployment, right?

Not exactly.

Think of every possible job in the world as an individual bucket and think of the people employed with that job as a drop in that bucket. For example, a farmer bucket. Here comes a set of machines that can do everything that a farmer does more cheaply, thus eliminating the need for the “farmer” occupation. Essentially, that bucket disappears.

But these ex-farmers are now freed up to work in whatever other buckets are available, thus boosting the production levels of those buckets — the economy as a whole is able to grow as a result of the added value created by all the cheap robot farmers. The result? An overall improvement in global production.

For now, machines are only good enough to replace jobs that require unskilled rote work, which means that they don’t cause unemployment but rather reemploymentinto other fields that can’t be automated. This point is worth emphasizing: the current employment crisis was not caused by automation.

robot-job-takeover-unemployment.jpg


But if we’re talking about a future time period when robots are on equal footing with humans and aren’t limited to rote automation, the situation is different.

Robots are cheaper and more efficient than humans. Humans need nine months to gestate, eighteen years to mature, and several additional years to train in a particular field, whether that means healthcare, engineering, the arts, or whatever else. In contrast, robots can be mass produced and once one has been programmed or trained, that data can be instantly and infinitely duplicated.

In other words, when there’s a choice between a robot and human with equal potential, the robot is always the more efficient choice. And when robots are skilled enough to take over every single job bucket on the market, there won’t be any buckets left for humans. That’s when reemployment becomes unemployment.
 

PrnzHakeem

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About | Oxford Martin Programme on the Impacts of Future Technology | Programmes

This ain't a list researched and created by some random people breh. It's got some thinkers behind it.
Some of the jobs listed are bullshyt. Automation won't fix it.

I evaluate jobs and determine how they fit in an organization, how much they should be paid, where the talent should be sourced from, etc....and trying to automate some of these jobs will just lead to headache.

Imagine calling Comcast automated line to solve an issue but in all aspects of your life. shyt just aint gonna fly with our society. They gonna have robots who can only go grab a person to figure shyt out. Inefficient.

Now production jobs? Yeah, those will be automated or shipped off
 

Doobie Doo

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Ya'll keep calling this a natural progress. There is nothing "natural" about automation. It might not be in our lifetime(or maybe it will be) but eventually robots will be able to do every job a human can do. Cheaper and better. How's that for "natural" progress. this isn't shyt like the industrial age.

What Happens When Robots Can Do All the Jobs?

One day, not too far from now, we’re going to experience the greatest unemployment crisis in human history. Whether that will be good or bad depends entirely on how we prepare for it.

What happens when technology advances so far ahead that machine intelligence can perform all human labor? It may sound nice at first – perhaps even utopian – but the implications are more frightening than you might think.

This topic popped up when we looked at jobs that robots should take over, including many occupations that involve sales, data research, and transportation. In response to that post, one of our readers, Dmitry, posed an interesting question:

A much more pressing question is: what will “replaced” humans do? [Aside from the] ever-dwindling “elite” groups of creators, servitors and owners, there’ll be no “logical need” for the rest of the jobless – thus “non-earning” – population to exist in the capitalist paradigm.

Great question! While nobody can say for sure, plenty of minds brighter than my own have explored what such a scenario might entail. Let’s see what’s in store for us.

The Rise of Human-Level Intelligence
We are on the cusp of a tech-based societal transformation that will be at least as big as that of the Industrial Revolution. This isn’t just machine-driven automation for tedious manual labor. We’re talking about man-made creations that can “think” at a human level – or even beyond.

To be fair, that second-wave revolution won’t actually be here for quite some time. Optimistic projections put that kind of breakthrough in the 2040s or 2050s while more conservative models predict the 2080s or 2090s. So, we have anywhere from a few decades to close to a century.






But when you look at the advancements made in the past few years, it’s hard not to get excited over the possibilities. A few decades might seem far away, but that time is going to zip on by and the breakthrough will arrive before you know it.

For example, driverless cars are on the horizon. It’s not as sexy an idea as, say, hoverboards or flying cars, but it’ll still have an enormous impact on the way we live our lives and conduct commerce. Driverless cars aren’t generally intelligent in the same way that people are, but driving is a big, complicated, subtle cognitive task which is quickly moving into the reach of robots, and that’s a sign of things to come.

It’s not even necessarily clear that traditionally intellectual jobs are safe. Even in the near future, machines like IBM’s Watson system that famously won on Jeopardy may take over data-heavy jobs like doctor and lawyer, thanks to their ability to consume and integrate far more information than humans. In fact, traditionally intellectual jobs may be among the first to go. Ironically, some of the tasks we think of requiring enormous intelligence (like those that depend on an enormous amount of domain knowledge) are proving much easier for machines than relatively basic tasks like cleaning a house or making a burger.






We also shouldn’t rule out robotic creativity because it now seems that robots canbe creative. Cutting edge robots today can compose music, write news stories, and paint artwork. Here’s a song written by a piece of software called “Emily Howell.”





Again, we’re not at a point where robots can compete head-on with human imagination, but these are steps in that direction.


What about on the battlefield? Microsoft has already developed a line of robotic security guards that are used to maintain security on one of its campuses. It wouldn’t require much imagination to take it one step further: autonomous war machines that are smarter and deadlier than humans. DARPA contractor Boston Dynamics has developed powerful humanoid robots with potential military applications, such as their latest quadruped, SPOT:





We’re making our robots smarter and better, but maybe we should be wary about where that might take us.

Robot Intelligence, Human Employment
Imagine it’s a century from now and our continuous progress in artificial intelligence has resulted in robots with human-level intellectual capabilities. In this hypothetical, robots can equal humans in all intellectual, mathematical, engineering, and creative pursuits.

What do you think the work force looks like in this scenario?

When the Industrial Revolution hit in the mid-1700s, people freaked out – the term ‘luddite’ comes from the anti-automation movement of this period. A single machine could match the production output of a hundred humans, essentially putting those people out of their jobs. Thus, machines lead to unemployment, right?

Not exactly.





Think of every possible job in the world as an individual bucket and think of the people employed with that job as a drop in that bucket. For example, a farmer bucket. Here comes a set of machines that can do everything that a farmer does more cheaply, thus eliminating the need for the “farmer” occupation. Essentially, that bucket disappears.

But these ex-farmers are now freed up to work in whatever other buckets are available, thus boosting the production levels of those buckets — the economy as a whole is able to grow as a result of the added value created by all the cheap robot farmers. The result? An overall improvement in global production.

For now, machines are only good enough to replace jobs that require unskilled rote work, which means that they don’t cause unemployment but rather reemploymentinto other fields that can’t be automated. This point is worth emphasizing: the current employment crisis was not caused by automation.

robot-job-takeover-unemployment.jpg


But if we’re talking about a future time period when robots are on equal footing with humans and aren’t limited to rote automation, the situation is different.

Robots are cheaper and more efficient than humans. Humans need nine months to gestate, eighteen years to mature, and several additional years to train in a particular field, whether that means healthcare, engineering, the arts, or whatever else. In contrast, robots can be mass produced and once one has been programmed or trained, that data can be instantly and infinitely duplicated.

In other words, when there’s a choice between a robot and human with equal potential, the robot is always the more efficient choice. And when robots are skilled enough to take over every single job bucket on the market, there won’t be any buckets left for humans. That’s when reemployment becomes unemployment.

Automation is evolution and evolution is a natural progression since nothing ever stays the same. SO I was right
 
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