- Amazon just implemented its million robot – almost as many human workers as it has done
- New roles are created and existing workers are being cut
- AI and ML will continue to improve the robotics, says Amazon
Amazon has revealed that it now has almost as many robots as people in its workforce after that WSJ The report has claimed.
Helps choosing, sorting, packing and transporting goods, robots now help with about three out of four global deliveries, but the effects on the workforce may not be as bad as it first sounds and there are plenty of human jobs left.
The company says it has gone from about 175 packages per year. Employee to about 3,870 over a decade, after seeing significant growth across his businesses.
Amazon’s workforce is almost half robots
One of the areas that robots have proven that their value is in smaller delivery facilities on the same day that have fewer employees where they can increase production. Products typically move about 25% faster in highly automated facilities compared to traditional stocks, it is reported.
In addition to launching new robots (Amazon is the world’s largest manufacturer and operator of mobile robots), the company also recently introduced Deepfleet, a foundation model built on AWS tools designed to coordinate robotic movements.
Already, Amazon says it has seen robotic fleet travel efficiency improves by 10% using AI, reducing overload in its stock.
Among its current fleet is Hercules, which can lift up to 1,250 kg, Pegasus handling packages via a conveyor belt, and proteus, Amazon’s first fully autonomous robot operating with humans.
At the same time, Amazon Robotics VP Scott Dresser boasted that more than 700,000 employees have been cut since 2019 through training in robotics, technique and maintenance, suggesting that human roles at Amazon could develop rather than disappear.
Dresses also noted that new fulfillment centers, including Shreveport, LA, require 30% more technical roles to look after the technology.
Looking ahead, Amazon plans to continue using AI and ML to create more intelligent and responsive robots. Dresses imagine them to improve employees’ safety, create new career opportunities and increase customer satisfaction.
