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Are AI going to substitute people in the future

Image:-AI Robot

New Ai technologies obtain intellectual capabilities beyond human beings which many of us fear might dehumanize the future workforce. In fact, AI automates most repetitive physical and quantitative tasks, for example coding and even computer engineering. Nevertheless, by automating such skills, AI will lead human professionals to a skills ladder that can not be automated by machines which is unique to people intelligence such as creativity or social skills. As a result, AI is not less human to the workplace. This is AI 's gift to the human race. However, throughout their lives people have to change jobs and develop new skills. For everybody, that will not be easy.

via Gfycat

Robotic AI vs Human Skills

AI will have a different impact on each of these three skills categories. Machines have much better process and quantitative reasoning skills than humans in deterministic tasks, but people do far more ambiguous cross-functional reasoning tasks.

In the next decade, AI 's systems are therefore responsible for over 80% of process-oriented tasks. Approximately 50% of reasoning tasks are performed by people and 50% by machines and over 80% of functional reasoning tasks are continued by humans.

Some professions are declining, others are growing and most of them are changing drastically. Process-oriented jobs will experience decreases. Jobs Cross-functional and quantitative skills that are more difficult to automate are associated with growing jobs. People will have to move from decaying jobs to growing jobs and, in some cases , completely new ones.

Robotics industry Growth over past years

Approximately US$ 39.72 billion was added to the robotics market in 2019 and a CAGR of 25.0% is expected over the 2020-2025 predictions. Over the past decade, high-priced industrial robots were predicted to achieve ROI after a decade. However, smaller collaborative robots are currently priced at a rate of around USD 20.000 for companies receiving ROI in months, rather than decades. Decreasing prices for sensors and rising acceptance have further helped to reduce costs.

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Article Edited by | Jhon H |

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