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Archive for the ‘employment’ category: Page 71

Feb 12, 2017

Why Elon Musk Thinks Universal Basic Income Is Inevitable

Posted by in categories: economics, Elon Musk, employment, government

Elon Musk shared his thoughts on the future of jobs and the government’s role in a rapidly changing society.

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Feb 8, 2017

11 New Jobs in the Future of Healthcare and Medicine

Posted by in categories: augmented reality, biotech/medical, employment, virtual reality

The question is not whether disruptive technologies will transform the healthcare job market, but rather how and when will it happen. Healthcare navigators, augmented/virtual reality operation planners and nanomedicine engineers in the second part of my article series about future jobs in healthcare.

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Feb 7, 2017

Worried About Being Replaced By A Robot? Avoid Working These Jobs

Posted by in categories: employment, robotics/AI

Some middle-income jobs have 97% chance of being replaced, study finds.

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Feb 4, 2017

China’s Manufacturing cost advantage is eroding so China will spend trillions for automation, robotics, 3D manufacturing and research

Posted by in categories: business, employment, robotics/AI

While the USA has been extremely concerned about losing jobs (particularly manufacturing jobs to China), China performed a survey of businesses in the American Chamber of Commerce in Beijing and found that 25% had moved or were planning to move their businesses out of China. Half were going to other Asian countries and 40% to America, Canada or Mexico.

China’s worker wages are rising about 7–8% each year and they have a shrinking working age population as the people age.

China is making big moves in automation and large scale deployment of robotics. In 2014, President Xi Jinping talked about a robotics revolution. China has been the number one buyer of industrial robots since 2013. However, China lags other nations in terms of robots per worker.

Continue reading “China’s Manufacturing cost advantage is eroding so China will spend trillions for automation, robotics, 3D manufacturing and research” »

Feb 3, 2017

After Robots Take Our Jobs, What Will We Buy in a Society Without Money?

Posted by in categories: economics, employment, robotics/AI

After labor, not all of us will want to explore inner consciousness. Abundant leisure will not turn everyone into the Buddha. Many of our tastes are in the gutter, and I have no objection to leaving them there. I’m not a fan of shopping per se, but buying stuff is deeply satisfying and motivating for many people. Is it possible to rethink the pleasure of conspicuous consumption in a way that decouples it from the competitive labor economy? The post-work world I’m imagining will have little surplus money for unnecessary shopping, even if robots and computers can dramatically lower the overhead of such production. So, a non-consummatory form of shopping will have to be cultivated.

Some people marshal all their evolved predatory skills to hunt down the perfect sweater, shoes, or watch. Could we redesign shopping as a system of “catch-and-release,” so that, like sport fishing, it’s the adventure and not the prize that becomes central? Maybe we will hunt for luxury items, but then instead of keeping them, simply photograph ourselves wearing the items (like a fisherman holding a giant pike). It’s an unlikely adjustment, I’ll grant you, but I never thought catch-and-release fishing would be fun until I did it, and it was. The way some people already buy and return items suggests to me that catch-and-release shopping is not impossible.

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Feb 1, 2017

Who Has the Manufacturing Edge? May Countries With the Best Robots Win

Posted by in categories: employment, robotics/AI

I was just telling someone today this very message. Of course they believe borders keep things from happening. Maybe physically; but not in an online retail and consumer world. Who are the most advance and real time responsive in meeting the interests and demands of consumers; will be the winners.


From time to time, the Singularity Hub editorial team unearths a gem from the archives and wants to share it all over again. It’s usually a piece that was popular back then and we think is still relevant now. This is one of those articles. It was originally published October 7, 2015. We hope you enjoy it!

You’ve heard the chatter: Robots and AI want your job. One famous study predicted 47% of today’s jobs may be automated by 2034. And if you want to know how likely it is you’ll be replaced by a robot, check out this BBC tool. (Writer = 33%. Yay?)

Continue reading “Who Has the Manufacturing Edge? May Countries With the Best Robots Win” »

Jan 28, 2017

Enhancing STEM Learning Using Virtual Reality

Posted by in categories: education, employment, engineering, virtual reality

By now, you’ve probably heard a lot about STEM education (science, technology, engineering, and mathematics). Careers in STEM are the next best thing: as a matter of fact, according to the U.S. Bureau of Labor, jobs in STEM will increase by up to 30 percent by 2022, a dramatic increase over the average industry projection of just 11 percent in the past years.

With that being said, it’s time to think more about using virtual reality in education; as education officials are seeing an increase in opportunity that will help bring STEM learning to life for today’s middle, and high school students.

By presenting a complete view of the world by use of virtual reality, teachers can help offer a new opportunity to students that will close some of the pedagogical gaps that have appeared off and on throughout the duration of the 21st-century classroom environment. These gaps generated from the fact that the curriculum and content in our education have not caught up with one another yet. In other words, education has not caught up with technology advancements.

Continue reading “Enhancing STEM Learning Using Virtual Reality” »

Jan 25, 2017

51% of All Job Tasks Could be Automated

Posted by in categories: employment, robotics/AI

Automation in the workplace has been one of the looming existential threats to American workers for years now. And with each new study published, the fear of robots, machines, and artificial intelligence coming to take our jobs ticks higher.

But a new report from McKinsey finds that the future of work and automation isn’t quite the zero-sum game when it comes to jobs as some perceive.

Right now, 51% of job activities could be automated with “currently demonstrated” technology, the McKinsey report says. The distinction is noteworthy: McKinsey isn’t saying half of all jobs can be automated with existing technology, but rather job tasks. Many jobs involve a blend of both the mundane and the intricate. Machines are excellent at handling rote, predictable tasks like repetitive physical labor and data collection and processing, making jobs like retail, foodservice, and manufacturing —a big theme in the 2016 campaign—most affected. As 51% of all working hours, these endangered activities make up $2.7 trillion in wages.

Continue reading “51% of All Job Tasks Could be Automated” »

Jan 23, 2017

Yes, the Eerie Carl Sagan Prediction That’s Going Viral Is Real

Posted by in categories: employment, futurism

Did Carl Sagan really warn about a time in the future when manufacturing jobs would slip away, when the average person would have virtually no control over their political lives, and when we would all cling to superstitions? Yes, Sagan did predict just that. The screenshot you may have seen floating around social media is real. And plenty of people are worried that Carl was talking about our era.

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Jan 21, 2017

Google’s AI is Learning to Make Other AI

Posted by in categories: employment, robotics/AI

In Brief:

  • Even though AI systems creating AI systems seems like the recipe for a Sci-Fi nightmare, experts agree that it could create a future with a less expensive and more efficient workforce
  • The benefits of an AI-powered future might be outweighed by the jobs that the technology makes obsolete

Imagine the conflicted feelings of the machine learning expert who is creating artificial intelligence (AI) that they know will one day, possibly very soon, be able to create better AI than them. It’s the new age’s way of holding on to the time-honored tradition of having to train your own replacement. Machine learning experts are currently being paid a premium wage due to their limited numbers and the high demand for their valuable skills. However, with the dawn of software that is “learning to learn,” those days may be numbered.

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