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375 Million May Be Hunting For Employment When Automation Kicks In

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By 2030 up to 30% of the hours worked globally could be automated. According to a new report by the McKinsey Global Institute  researchers estimate that between 400 million and 800 million people could find themselves displaced by automation and in need of new jobs, depending on how quickly new technologies are adopted. Of this group, as many as 375 million people—about 14% of the global workforce—may need to completely switch occupational categories and learn a new set of skills to find work.

Number of workers needing to find new jobs due to automation

 

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AI technologies like speech analytics, deep-learning platforms and natural language generation have exploded onto the scene in the past 12 months. Soon firms will be able to automate and scale in a more efficient way because software will ultimately be able to learn and adapt rather than require programming.

Automation will transform the workforce as technology advances result in humans increasingly working side by side with software robots These robots don’t herald a gloomy future for jobs. As we showed in our report. Working Side By Side With Robots, automation will replace some jobs and create others, with a net loss of 9.8 million US jobs by 2027 — while transforming at least 25 percent of the remaining jobs.

Survey Reveals That Your Boss Really Doesn’t Approve of Facebook Friends With Co Workers

 

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The surprising result of a survey of 1,006 employees and 307 senior managers conducted by staffing company OfficeTeam. Survey respondents were asked how appropriate it was to connect with co-workers on various social media platforms. It turns out that bosses and their employees have very different answers to this question.

When it comes to Facebook, 77 percent of employees thought it was either “very appropriate” or “somewhat appropriate” to be Facebook friends with your work colleagues, but only 49 percent of senior managers agreed. That disagreement carries over to other social media platforms. Sixty-one percent of employees thought it was fine to follow a co-worker on Twitter, but only 34 percent of bosses agreed. With Instagram, 56 percent of employees, but only 30 percent of bosses thought following a co-worker was appropriate. Interestingly, the one social platform bosses and employees seem to almost agree about is Snapchat, with 34 percent of employees thinking it was fine to connect with colleagues, and 26 percent of bosses thinking so too.

LinkedIn was not included in the OfficeTeam survey, but because it’s a professional networking tool, few bosses will object to you connecting with coworkers there.

Jobs Said To Phase Out In 10 Years

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Travel Agents

Cashier– self-service checkouts, and automated processes during purchasing, the typical Retail cashier -will eventually fade away as a career

Taxi Drivers– Calling for a cab is going to be non-existent with the rise of apps with GPS technology. Taxi drivers will have to follow the trend in order to keep their business afloat

Publishers and Printers-. More and more consumers are going digital when it comes to entertainment and news. Publishing companies have been having a hard time keeping up with the times. These industries are slowly fading out to give rise to new digital media companies.

 

 

The Mayor’s Plan On New York City Jobs

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Read About Here

Map Tells Which Cities Likely To Lose Jobs To Robots

As the map shows, almost all large metropolitan areas can lose over 55% of their current jobs due to automation. The ones that fare better than others include high-tech centers like Silicon Valley and Boston.

Lower income jobs face higher automation risk, the effect on employment will be much more drastic than the effect on wages. MSAs with a high share of low paying jobs will have larger job and wage losses. The researchers emphasize that probability of automation does not equal future unemployment rates: “Technical feasibility does not imply that automation necessarily makes economic sense. And historically, automation went hand in hand with new job creation both in skilled and less skilled labor,” explains Dr. Chen. “However, the speed and the high share of automation in less skilled jobs raises many questions about whether the economy will be able to make up for the expected job losses. They expect that automation will create winners and losers among cities and regions of the U.S.,

Metropolitan Statistical Area Share of Jobs Automatable
1 Las Vegas-Henderson-Paradise, NV 65.2%
2 El Paso, TX 63.9%
3 Riverside-San Bernardino-Ontario, CA 62.6%
4 Greensboro-High Point, NC 62.5%
5 North Port-Sarasota- Bradenton, FL 62.4%
6 Bakersfield, CA 62.4%
7 Orlando-Kissimmee-Sanford, FL 61.8%
8 Fresno, CA 61.5%
9 Greenville-Anderson-Mauldin, SC 61.3%
10 Louisville/Jefferson County, KY-IN 61.3%

Research economists Fear Automated, Self-Driving Vehicles Will Have A Negative Impact

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Research economists fear that automated, self-driving vehicles will have a negative impact on those that are deeply tied to traditional transportation business models and practices.

There are 1.7 million professional truck drivers in the United States and an additional 1.7 million operators of other commercial land vehicles. Policymakers must prepare for the possible elimination of many of these jobs.

The Center For The Future of Work intends to address the challenge by bringing economic expertise together with some of the world’s leaders in autonomous vehicle technology to forecast where and when these individuals might be displaced from their current jobs. With necessary data, they can begin to design policies that could better improve the dislocation of these workers, and have these policies in place before the disruptions emerge. A Heinz College student team is currently collaborating with the New America Foundation to create the first draft of a map in space and time that forecasts the potentially significant job losses associated with the commercial deployment of these technologies.

 

Hybrid truck and blue electric car on wireless charging lane

 

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