Over the decades, there has been widespread fear in numerous industries that robots will do our job. While there is a lot of evidence that automation ultimately takes human workers off the line, it often requires human interaction to operate within acceptable limits.. When we think of these robots taking over our jobs and getting angry, we are clinging to an outdated view of the world that will change with or without us.
When we think of robots doing our job, we are superimposed on a vision of humanoid androids literally doing the jobs we do. While there is much speculation about this type of usurpation, we should think a little smaller. In physical terms (a robotic arm or something more tangible), robotics and artificial intelligence have already been tied into industries like healthcare and retail.. This has changed the workforce as the implementation of robot support has shifted.
While AI is typically the technology most cited in these scenarios, blockchain could also play a role. Smart contracts are designed to facilitate the execution of a number of conditions between two systems. Hence, it makes sense to imagine a world where blockchain and cryptography technology are replacing certain management or human resources functions in office environments. Repeated tasks like assigning tasks could be done on the blockchain in the near future.
This is only part of our robot future
Smaller robotic applications like AI-enhanced call centers are the ones most of us will work in. In these call centers, for example, AI serves as chatbots. Voice routing systems and improved customer support services. This allows customer service agents to be human when needed and to relay and analyze data to serve both the operator and the customer. The same is true for many industries that implement artificial intelligence systems to handle large amounts of data and tedious tasks that were previously done by teams of people.
The loss of direct visibility from the point of contact to these tasks leads to fear of losing jobs. This mindset or unwillingness to adapt to change and change the way we work in the workplace is nothing new. This has been the case since the introduction of the first automation on automotive assembly lines. However, humans are agile and have always found ways to adapt. With more artificial intelligence systems in place to get complex tasks done quickly and to help businesses grow and manage data, more and more people will be forced to move into new roles that may not be alike. in nothing to what they did.
Economists predict that robots will have taken over 20 million human worker jobs by 2030. Given that the United States is currently operating at record levels of unemployment, that is a lot of jobs lost. Here we have to adapt our thinking. Robots can have these jobs. You should have these jobs. Without it there is no innovation, there is no change. We invent one process, refine that process, and then implement automation to optimize that process so we can move on to the next.
There is always something afterwards
Almost all robotic processes or automations create new work for a person. The new normal requires not only human oversight over the implementation of robots, but also complementary roles in which human jobs are created to work with these so-called robots.. Artificial intelligence needs training, delivery robots need to be serviced, and so on. That doesn’t mean the jobs robots will take on aren’t worth the effort people make to wait for them as long as possible.
In order to successfully transfer functional and task-oriented jobs into automation, they must be examined, practiced and broken down into individual pieces of information, which can then be trained by programming in an artificial intelligence system or a physical robot. With an AI system, this training would turn into machine learning that needs to be monitored and documented for future use cases and applications.
We need to recognize that at the current speed of AI as it is being rolled out in industries large and small, there will be wear and tear. There has to be attrition as this is the only solid road to innovation. This does not mean that the only way to innovate is to lose jobs for human workers, or that they should somehow turn their unemployment into innovative ideas, although it will be inevitable.. For example, robots will force us to evolve how supply chains work and how we communicate with computer interfaces.
This evolution of business processes relates to things like how our smart machines communicate with other smart machines and the use of artificial intelligence systems to enable sustainable technologies in sectors like energy and manufacturing. These advances would not exist without fighting opposition to the takeover of jobs by automation.
The idea that robots take jobs has always brought with it a generally negative view of the bigger picture. Often the focus is on a single job or function that has been replaced by a robot, rather than the jobs created by that automation.
The big picture is change, a constantly changing way of thinking and doing business. AI offers the possibility to analyze unimaginable data sets, to automate previously unattainable processes and to anticipate a future that ultimately offers jobs for everyone.
The views, thoughts, and opinions expressed herein belong solely to the author and do not necessarily reflect or represent the views and opinions of Cointelegraph.
Dominik Schiener is co-founder of the Iota Foundation, a non-profit foundation based in Berlin. Supervises partnerships and the overall realization of the project vision. Iota is a distributed ledger technology for the Internet of Things and one of the largest cryptocurrencies. It also won the largest blockchain hackathon in Shanghai. For the past two years he has focused on activating the machine economy through Iota.