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#Leadership : This Is The Hidden Challenge In The Future Of Work…New Research Suggests we Need to Stop Worrying about Robots Taking our Jobs and Concentrate on Workforce Development.

A briefing by MGI director James Manyika, compiled from the company’s extensive research, took a deeper dive into employment numbers. He writes:

In the United States and the 15 core European Union countries (E.U.-15), there are 285 million adults who are not in the labor force—and at least 100 million of them would like to work more. Some 30% to 45% of the working-age population around the world is underutilized—that is, unemployed, inactive, or underemployed. This translates into some 850 million people in the U.S., the U.K., Germany, Japan, Brazil, China, and India alone.

Manyika says that unemployment figures typically get the most attention at the expense of those who are underemployed. Indeed, the latest figures from the BLS indicate that the labor force participation rate (a combined total of those who are either working or actively seeking work) is just over 62%, which represents a steady decline since 2000. Parsing the meaning of this decrease is complicated, yet it is often referred to in the broadest sense as proof that the labor market is shrinking due to a variety of factors. The result, regardless of the cause, is a lot of “untapped human potential,” according to Manyika.

THE ECONOMIC CONSEQUENCES

This has serious economic consequences that affect every country. Wage stagnation has affected advanced economies despite increases in productivity. The brief also states that globally, 655 million fewer women are economically active than men. In a previous report, MGI revealed that advancing women’s equality could add $12 trillion to the global GDP by 2025.

 

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WHY MORE PEOPLE AREN’T WORKING

Why is this happening? The MGI brief offers several reasons, including the fact that education hasn’t keep pace with the skills needed for a changing workforce.

McKinsey research found as many as 40% of employers in nine countries said lack of skills was the main reason for entry-level job vacancies. Sixty percent of them said that new graduates were not adequately prepared to work. They cited the lack of both technical and soft skills such as communication, teamwork, and punctuality as reasons they couldn’t fill open positions. A survey conducted by PayScale reached a similar conclusion. Chief among the complaints by hiring managers were that communication, leadership, ownership, and teamwork were missing in this new crop of workers.

The brief also found that cross-border migration has a somewhat negative impact on the labor force. Manyika writes, “Migration boosts global productivity, but its consequences are often feared by native workers, who face labor market disconnects and a lack of well-paid jobs.” He also notes that in the midst of such challenging labor market conditions, “popular sentiment has moved against immigration.”

DEBUNKING THE MYTH OF ROBOTS STEALING JOBS

Perhaps surprisingly, the MGI brief reveals that automation won’t vacuum up jobs and further hurt the labor force.

MGI research on the potential for automation across 54 countries and more than 2,000 work activities indicated that the number of jobs that can be fully automated by adapting currently demonstrated technology is less than 5%. That number could go as high as 20% in some middle skill categories.

That said, even if a job isn’t completely taken over by a robot, MGI found that about 60% of all jobs have a least a third of activities that could be automated based on current technology (think: virtual assistants).

For those workers who might still be worrying they’ll become obsolete, Manyika points out, “One-third of new jobs created in the U.S. in the past 25 years were types that did not exist, or barely existed, in areas including IT development, hardware manufacturing, app creation, and IT systems management.” So while part of your job is likely to become automated in the next few years, chances are there will be something else to take its place.

SOME SOLUTIONS

Manyika notes that the net impact of new technologies on employment can be positive. However, there is still a vast number of people across the globe who aren’t tapped into the potential labor market because they don’t have internet access. He writes:

More than 4 billion people, or over half of the world’s population, is still offline. About 75% of this offline population is concentrated in 20 countries, including Bangladesh, Ethiopia, Nigeria, Pakistan, and Tanzania, and is disproportionately rural, low income, elderly, illiterate, and female. The value of connecting these people is significant, and as they enter the global digital economy, the world of work will transform in fundamental ways and at an unprecedented pace.

Training for both those who haven’t had online access before and those who are currently employed can go a long way to driving change in the labor force. Manyika also suggests that policy makers offer companies tax and other incentives to invest in their workforce. Public-private partnerships could also advance online infrastructure to facilitate participation.

Additionally, Manyika recommends rethinking incomes. “If automation (full or partial) does result in a significant reduction in employment and/or greater pressure on wages,” he explains, “some ideas such as universal basic income, conditional transfers, and adapted social safety nets could be considered and tested.”

 

FastCompany.com | LYDIA DISHMAN 12.07.16 5:00 AM

Your #Career : The Future Of Jobs- 5 Options Everyone Must Consider…There’s a Robotic Apocalypse Coming – Everyone Seems quite Certain about This. The Real & Present Danger Appears to Be about Jobs.

“The replacement of full-time jobs has happened very slowly, in most cases,” he tells me. “For example – before the invention of the ATM, there were around half a million bank tellers in the US. Today, we have about half a million bank tellers.

Free- Thinking Plasma Ball

There’s a Robotic Apocalypse comingeveryone seems quite certain about this. I’m not talking about a Matrix or Terminator scenario where the human race is enslaved by AI, although some very smart people are concerned that this could happen. The real and present danger appears to be about jobs.

At first it seemed that it was mainly manual jobs which were under threat, when production lines workers were expected to be replaced wholesale with robots and machines. But in recent years huge advances in fields such as machine learning and automation have made it apparent that white collar and professional workers are equally under threat.

 

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So how should someone go about ensuring their own career prospects are not exterminated by this incoming robot army? Well, two people whose opinions I respect very much have a few suggestions. Tom Davenport and Julia Kirby’s ‘Only Humans Need Apply – Winners and Losers in the Age of Smart Machines’ outlines a survival strategy based on aligning one’s skills within the new workforce paradigms that big data, artificial intelligence(AI) and smart machines are likely to create.

The book suggests five strategies – stepping up, stepping aside, stepping in, stepping narrowly, and stepping forward. These, suggest Davenport and Kirby, are the different ways a candidate can ensure they remain competitive against AI and smart machines in the job market.

“These are the five key roles or classes of roles that people can play, with regards to smart machines,” Davenport tells me, “and two of them – stepping aside and stepping narrowly – don’t even really involve working that closely with smart machines.”

Stepping Aside is fairly self-explanatory – it simply means leaving the machines to do what they do best, and picking a career requiring mainly skills such as creativity or empathy.

Stepping Narrowly involves developing a speciality, in a field where there is little demand or no business case for implementing automation (a local tour guide, or a wine expert specializing in a particular region, being possibilities here).

Stepping Up means taking oversight of and responsibility for the work carried out by computers and AI – essentially becoming their boss, and considering the big picture strategy of implementing technology across an organization.

Stepping In means to become involved with the work being carried out by machines, to fine-tune and provide human oversight in areas where it is still needed. Real world examples here could be an accountant trained to spot errors caused by an automated system, or an ad buyer who can spot when a brand could be damaged by a particular placement, for reasons a robot might not comprehend.

Lastly, Stepping Forward is to work on developing the next generation of robotic and AI-driven technology. Robots can solve problems for us, but we still need to tell them what problems need solving. It still takes a human to understand that automation will be of benefit to a particular area of business, and a human to put together a strategy for automating that section.

Davenport is happy to admit that he and his co-author’s take on the robopocalypse is, if not more optimistic, then slightly less pessimistic, than many fellow commentators.

“The replacement of full-time jobs has happened very slowly, in most cases,” he tells me. “For example – before the invention of the ATM, there were around half a million bank tellers in the US. Today, we have about half a million bank tellers.

“So people are pretty good about finding other things to do when key tasks like dispensing cash and so on get taken over by machines. So my argument is that there will be some job losses but they will be marginal rather than dramatic, and the people who are good at working with machines will probably do fairly well at least for a while.”

And this ability to work in partnership with emerging smart technology is absolutely key to the book’s message. The robots may not be here to take your job and leave you destitute, but you’d better be sure you take notice of them.

Co-author, senior editor at Harvard University Press Julia Kirby, tells me “We’re largely looking at this from the standpoint of the worker as we feel that they should be preparing for a changed workplace.

“They are going to have all of these machines working side by side with them, and it isn’t necessarily going to be done for them … we’re saying, look, you need to make some decisions and take some action at an individual level, rather than just leaving it to your employer or, God forbid, society, to sort all this out.”

Ultimately the book’s message is a hopeful one. By pursuing augmentation over automation, industry will free up human power to do what we are best at – innovate and create – while leaving robots and smart machines to crunch numbers and keep everything ticking along behind the scenes.

Kirby also envisages something of a “two tier” system of services emerging, where a low end, mundane level of service will be provided by computers, with human endeavor reserved for higher profile assignments. An example would be media coverage of a tennis tournament, where the early rounds would be covered by an automatic report generating system, with a human journalist assigned to covering the finals and semi finals.

It is a refreshing take on the much discussed topic of what the long term social consequences of widespread integration of AI and automation into our workplace will be. Most importantly, it is highly refreshing to see someone tackling the issue through the medium of a practical guide, rather than simple doom-mongering. Yes, some people will find themselves unemployed in the near future because their employers will work out it is cheaper and more effective to use a smart machine than to pay their salary, pension and healthcare. If you want to minimize the risk of being one of them, it could be a good idea to take a look at the book.

Bernard Marr is a best-selling author & keynote speaker. His new book: ‘Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results

 

Forbes.com | June 9, 2016 | Bernard Marr