USA Ranks 9th In Global Robotics & Automation Job Loss Report

South Korea, Germany, and Japan are most prepared for the coming wave of automation, according to a new report by The Economist. The U.S., on the other hand, ranks ninth out of 25 countries.

And the most-at-risk countries?

Mexico, Vietnam, and Indonesia.

Looming advances in robotics, artificial intelligence, and automation threaten to make many jobs obsolete over the next few decades. In worst-case scenarios, 800 million jobs could be lost globally; in best-case scenarios, robots squeeze humans out of just a few at-risk occupations.  

Of course, too much automation can cause problems too, as Tesla CEO Elon Musk has recently acknowledged.

Both very rich and very poor countries will fare better than average in the coming massive changes, according to the report. Rich countries are adding robots quickly, and have the resources to prepare their populations for coming changes. Poor countries, on the other hand, have less mass manufacturing that is at risk from automation.

The most-challenged nations will be middle-income countries with significant manufacturing capacity.  Full Article:

Comments (0)

This post does not have any comments. Be the first to leave a comment below.


Post A Comment

You must be logged in before you can post a comment. Login now.

Featured Product

Machine vision software with new deep learning features: MVTec HALCON 19.11

Machine vision software with new deep learning features: MVTec HALCON 19.11

MVTec HALCON is the comprehensive standard software for machine vision with an integrated development environment that is used worldwide in all kind of industries. It enables cost savings and improved time to market. HALCON's flexible architecture facilitates rapid development of any kind of machine vision application. The software provides outstanding performance and a comprehensive support of multi-core platforms, special instruction sets like AVX2 and NEON, as well as GPU acceleration. The latest version HALCON 19.11 offers a wide range of new and improved machine vision functions. Particular emphasis was placed on the integration of further deep learning features. Now users benefit from massive simplifications for their applications, like faster inspection with anomaly detection, more transparency with the Grad-CAM heatmap and the support of ONNX format.