AI Automation Fatigue

Dino Cajic
6 min readApr 6

AI is taking over the world, so they say. If that’s your worry, let me introduce the concept of AI automation fatigue.

AI is not something new. It’s been here for quite some time and companies have utilized it for years. There is this “automate everything” mentality that occurs during the introductory stages of AI, but after some time, the ROI starts to diminish. Individuals struggle with finding what else to automate. These are not AGI systems (Artificial General Intelligence) where they can reason. They need to be trained on specific datasets and the processes need to be thoroughly outlined in order to automate a particular task. And even then, hope that the task doesn’t involve human judgement or the AI system will struggle.

Automation Fatigue doesn’t just refer to running out of ideas for how to integrate automation into the business. It deals with:

  • Employee burnout from technology, whether that’s understanding the automation systems or troubleshooting when it breaks.
  • Employee resentment since they believe that they’re likely to be automated out of existence like everyone else.

In general, what is Automation Fatigue?

Automation fatigue is a phenomenon that is becoming increasingly prevalent in today’s workplaces, where technology and automation play a critical role in facilitating business processes and productivity. The use of automation technology has the potential to revolutionize work processes and increase efficiency. However, the over-reliance on automation can lead to a host of negative consequences, including decreased productivity, job dissatisfaction and burnout.

One of the main reasons that automation fatigue can occur is due to the cognitive load that comes with using multiple automated systems or tools. When individuals are presented with a large number of automated systems, it can be challenging to keep track of which tool or program is needed for a particular task. Furthermore, each system may have different workflows, interfaces, and features, which can lead to confusion and frustration.

In addition to the cognitive load, automation fatigue can also be exacerbated by the constant need to troubleshoot technology issues. When automated systems fail or encounter…

Dino Cajic

Author of An Illustrative Introduction to Algorithms. IT Leader with a B.S. in Computer Science, a minor in Biology, and a passion for learning.