Since automation is becoming more and more complicated, AI is in the process of disrupting the daily work environment. This slow shift has brought about a debate on whether AI will put people out of employment or whether it will work on the repetitive or hazardous work and create fetch ai news today.
Although these are all important discussions, there are very few discussions about the more transformative result of the story. Digital transformation essentially takes place at the industry level. But what role does AI play in the grand scheme of things?
Understand the AI-driven displacements
Since the early nineteenth century, automation has disrupted the mechanized part of the industry. In the last decade, AI has improved and extended the automotive capacities, but much of the AI automation has been going on in the individual tasks and not on roles.
According to RAND corporation which is researching heavily on the impact of AI, it is sure that AI is displacing tasks; jobs are now on the path to configuring themselves to adopt the new work environment that automation is creating.
AI has already been established with its increased productivity in automating tasks starting from the mobile app development, to AI-powered factory robots in the assembly lines. But people are more sensitive to how artificial intelligence is threatening to automate entire job roles. This is because we are going to see machines taking more tasks beyond the capacity of humans. This will result in some occupations spiraling out of demand, while other jobs will rise.
We don’t have to wait for reports to tell us about how AI is growing. We can see it in the news and on websites. The combination of robotics, AI, and other digital tech is producing innovations like driverless cars that are being developed even by tech companies. We are also seeing a rise in AI engineered virtual assistants, thanks to mobile app development on websites to help with queries from visitors. IoT devices like Siri, Cortana, Alexa, Google Echo, and other healthcare robots are also rising.
Once companies can get driverless cars right, then it is clear that many roles across different industries will be replaced, from a truck driver to a taxi driver. When we talk about AI in healthcare, we are talking about augmentation with human roles instead of replacing human jobs. It is evident that in the next decade, automation will impact almost all occupations.
Displacement beyond roles and tasks
Current research is focusing on workplace roles, but disruption is also going to take place in the departmental, team, and organizational levels. Now, since driverless cars are disrupting the individual roles of drivers, it also displaces trucking and taxi companies, and eventually the industries. These sort of displacements lead to disruptive business models. That is how drone delivery came about and other sorts of innovations any mobile app developer is producing.
If you think about displacement on a departmental level, the canvas is empty on how AI is going to disrupt an entire corporate function like marketing or finance. For this to happen, the current roles will have to be obsolete; this kind of disruption is possible according to a report by McKinsey and PwC. Currently; currently, there are IT operations that are now fully automated.
Should we really allow an entire department to be replaced by AI? Organizations will have to identify the capabilities and functions that provide them with the strategic uniqueness in the market.
The rise of the fully automated business
We see AI transforming the transport industry through autonomous vehicles. Soon, we are going to see companies running lights out thanks to a mobile app developers who starts a business and automating all business processes(without people, but machines); this will make businesses more cost-effective, and efficient in providing quality products and services.
When this happens, we are going to see AI-powered business rising in the global economy, displacing and transforming industries and small business that want to be competitive at the same level. We can not even begin to imagine the level of disruption this broad tech will affect. But it is clear that research into the AI effects on individual roles and tasks is greater than we can imagine.