How Automation Is The Future Of Knowledge Worker Productivity

Numerous managers have recognized the opportunity to use emerging technologies to streamline a wide range of tasks and boost productivity

15May

Automation is a fascinating trend that is affecting countless workers in a variety of industries. Numerous managers have recognized the opportunity to use emerging technologies to streamline a wide range of tasks and boost productivity. Many workers are worried that artificial intelligence is threatening their job security and creating new challenges.

Knowledge workers used to believe they were immune from the realities of AI. However, the Forbes Communication Council points out that it is becoming increasingly clear that AI is changing the knowledge worker profession in surprising ways. Here are some reasons that knowledge workers can’t escape the inevitable changes of automation.

AI is making some knowledge workers redundant

A market survey by Market Cube found that one in three informational technology workers fear that automation is likely to lead to layoffs. These are valid fears, because new technology significantly increases the output of individual workers. This could make many of them redundant in the future.

A study from PwC suggests that 38% of the jobs in the current workforce will be replaced in the next 15 years. However, many of the concerns are hyperbolic. It is highly unlikely that the majority of knowledge workers are going to be laid off. These statistics also fail to account for the fact that many new jobs are likely to be created in response to the new technologies. A report from McKinsey predicts that the number of knowledge workers will actually increase in the near future. The report goes on to show that knowledge workers and automation software will work hand in hand to produce more productivity. Platforms like Wrike are already automating redundant tasks so knowledge workers can focus on more complex work. Project managers can create automated workflows and assign team members to specific tasks. As each task gets completed the next task in the workflow is assigned. This eliminates time-wasting data entry and scheduling tasks.

AI is leading to new talent pools that help information technology companies get the best staff

Acquiring the most talented knowledge workers is key to boosting productivity and ensuring quality. Advances in information technology have made it easier for knowledge worker teams to find qualified staff. They can tap global pools of experts through portals such as Upwork.

Create more adaptable training programs to prevent worker obsolescence

Even highly skilled professionals such as knowledge workers need to prepare for the risk of career obsolescence. Current training methodologies do not help mitigate these risks. They typically focus on training employees for a few very specific careers. The tasks that were covered in the training session maybe obsolete within a few months, which threatens the job security of the employee and undermines the responsiveness of the team as a whole.

New AI-based training systems have made it easier to create a more adaptable workforce. Knowledge workers can use these tools to learn more specific tasks in a much shorter period of time. Workers can quickly expand their skill sets without taking a focus that is too generalized.

Leveraging the benefits of augmented reality

Augmented reality simulations can be extremely useful for preparing workers for the day-to-day challenges they will face. Knowledge workers are no exception.

A growing number of manufacturing facilities are using augmented reality to help boost production. The opportunities for knowledge workers haven’t received as much attention, but they could also be very valuable.

Dataviz

Read next:

Why We Need Data Visualization To Understand Unstructured Data

i