Is Automation Taking Labour Jobs?
Even Experts cannot deny exactly how much Robots and AI Technology will change our Workforce.
In today’s era, there’s little in the world of work that can’t be done by computers, either now or in the foreseeable future. Machines have been doing many things more precisely than humans for all sorts of industries from farming [Autonomous tractors] to retail [Amazon’s warehouse robots].
Even the tasks we used to think as ‘safe’ from Machines, such as those involving quintessentially human traits like empathy and creativity, are slowly becoming things computers might one day do.
Robotics and machine learning [AI] have improved productivity and enhanced the economies of many nations. Artificial intelligence (AI) has progressive into finance, transportation, defense, energy management, and the list go on. On the other end “The internet of things (IoT)” is facilitated by high-speed networks and remote sensors to connect people and businesses. All this has made possible to improve the lives of many people.
Yet amid these possible benefits, there is another effect too – removing the need for human work. An analysis report released in 2017 by McKinsey Global Institute found that up to 800 million global workers will lose their jobs to new technology by 2030. Below are the 9 Jobs from yesteryear which are already phased out
1. Switchboard Operator
2. Bowling alley pinsetter
3. Lift Operator
4. Film projectionist
5. Bridge Toll collector
6. Check-out cashier
7. Railway station ticket seller
8. Factory worker
9. Packing, stockroom, and warehouse moving
48% of experts envision a future with robots and digital agents have replaced the significant number of blue and white-collar worker and leading vast increases in income inequality.
Still, many experts believe there’s no slow down with artificial intelligence and its impact on society as well as compares AI with major innovations in history, like the steam engine and electricity innovation, saying that people were affected by this and afterward used to it. Yet cautioned that artificial intelligence and its impact will hit us much sooner than those other innovations did.