Much like the industrial revolution modernized manufacturing, AI and machine learning will revolutionize the way we work. According to McKinsey, “half of today’s work activities could be automated.” And a Pew Research Center study finds 77% of Americans think it’s realistic that robots and computers might one day be able to do many of the jobs currently done by humans, with 20% describing this prospect as extremely realistic.
For some, this might bring about some angst. But for others, according to Pew Research, “technology represents a largely positive force that makes their work more interesting and provides opportunities for career advancement.” Let’s explore some possible ways in which AI in human capital management (HCM) systems could make our jobs more interesting and allow us to work smarter.
Routine tasks are things that are repetitive and possibly mundane but necessary, whether done daily, weekly, or monthly. Most of these tasks fall into the area of collecting and processing data. AI and machine learning can be used to anticipate what needs to be done and do it, leaving us to just confirm the task, check the work, or execute a transaction. Managers can use AI to look for data anomalies that flag employee attrition trends, identify the best candidates based on criteria provided, or recommend courses based on career plans. Once it has collected the data, a person then can use the information to react or make recommendations. For example, if AI identified an employee that had taken an increased number of sick or vacation days, was working remotely more often, and had applied for job postings within the company, AI would flag the individual so that I know I should have a career conversation with her.