Computer automation has done away with lots of blue collar jobs over recent decades. AI and robotic process automation will have a similar impact on white-collar roles in areas ranging from HR to finance.

This means that any office worker performing routine operational activities is likely to have their job replaced by a computer.

The application of machine learning to the growing amounts of data being produced throughout the world will change everything when it comes to our jobs. These new technologies will make jobs easier for many people but also make many of these jobs obsolete. Algorithms can now respond to emails, recruit talents, finding right property, interpret medical images, and many more.

Let us take a recent research report which predicts that human resource could be taken over by technology. In such case, how does this change the shape of the workforce, and HR’s role in managing it?

Traditionally, HR was always viewed as a paper-intensive, non-innovative area, where salary decisions are made, people get recruited or terminated and where team building sessions are organized. Moreover machine learning algorithms addresses diverse set of Human Resource challenges like employee engagement, talent retention, competitive compensation, and developing the organizational leaders for tomorrow.

On a flip side, predictive analytics can reduce or eliminate the need for human experts in the field. Programs have already proven that they can predict business decisions, provide insights into the workforce, predict future requirements, and predict results that are critical to an organization’s success.

To conclude, algorithms can screen but don’t build relationships. Technology can make the human resources job better by analyzing what works and what doesn’t. It can be used to free up time for HR to focus on strategy and developing new policies. In fact, it can even give recruiters tools to make the process more human. But effective HR still requires a human touch, Since, H in HR stands for ‘human’. It’s about dealing with the notions of people, and AI systems will never be able to do that.”