There is a massive increase in demand for Artificial Intelligence (AI) and Machine Learning (ML) professionals. Automation and Robotics have already made enormous possibilities in the manufacturing sector.
Employment in transportation, logistics and office administration is at a high risk of replacement. Self-driven vehicles, including big trucks, are already up and running on the ways. Though robots have been mainly employed in the manufacturing sector only, millions of service jobs could be on the radar next. Automation in service industries could be more suggestive, considering that the service sector has a larger scope for employment than agriculture or manufacturing. However, technological elevation is a double-edged sword. Though it will wipe out some jobs, it will also create a need for other few.
Blue-collar and white-collar jobs will be removed, basically, anything that requires middle-skills. This leaves low-skill jobs, and high-skill jobs which require high levels of training and education. In many cases, the nature of jobs will change rather than disappear because of AI. And automation enables workers to focus on higher value, more rewarding, and creative work, removing the monotonous from their jobs.
There has always been disruption whenever a new technology has emerged. We saw it with the industrial mass production, the internet, personal computing, and enterprise technology. In all those cases, the technology created phases of rapid interruption in terms of jobs. New technology has always made some tasks and roles disappear more rapidly, but it also has created new occupations. This is how our society has changed. The same is correct with AI.
But the AI revolt changes the balance of the scale the demand for humans versus machines. Machines are pleasant very good at execution certain types of tasks such as repetitive tasks, knowledge identification and pattern recognition. They never tire and remain vigilant at all times. This leads to the replacement of some jobs. But in most cases the technology only replaces bits of roles, freeing up the time for humans to focus on the tasks where they remain uniquely good at emotional intelligence, common sense, resolving dilemmas, compassion, wisdom, creativity, and innovation.
AI can potentially penetrate every business function within an organization, it keeps learning from its own experiences. Ultimately, it performs repetitious, slightly lower value tasks, allowing the workers to focus on where they can bring in more creativity and innovative thinking. The other set of important transformations are around the application of predictive analytics to production lines and process industries.
Here, the machinery and systems are constantly monitoring their own behavior, and compare it with data from their historical performance. The machine is therefore able to predict when it would require maintenance, when to expect a failure and when human assistance would be required. Their impact is turning out to be quite remarkable. There is great potential of saving time and effort using these technologies.