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Job-stealing robots and other automation myths

  • 23 October 2020
  • 1 reply
  • 136 views
Job-stealing robots and other automation myths
deb
Userlevel 4
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  • deb Zapier Staff
  • Zapier Staff
  • 4 replies

Hi! Deb here, from the Zapier blog. One of the things we try to do on the blog is demystify the concept of automation. Automation is a tool that can help almost any small business or knowledge worker, but for some reason, it still feels like this weird, intangible thing for a lot of folks.

One of the reasons it’s hard to explain—and demonstrate the value of—is that people have all sorts of ideas about what automation means. We’re talking everything from futuristic robots to long strings of code that only big businesses can afford to make. 

Our staff writer Justin put together a list of four common automation myths, along with some thoughts on how to debunk them. Take a look.

Job-stealing robots and other automation myths

Did we miss any automation myths? And how do you explain automation to your friends, family, and coworkers? Let me know in the comments!

1 reply

D
Userlevel 1

Fantastic read, Deb! The demystification of automation in your article is both enlightening and necessary. I've noticed that one of the biggest hurdles in embracing automation is the fear of the unknown, especially the misconception that it leads to job loss. In reality, automation often takes over repetitive tasks, freeing up human creativity and problem-solving skills for more complex challenges.

A solution-oriented approach to this myth is to showcase real-life examples where automation has augmented human work rather than replacing it. For instance, in content writing, tools like Grammarly assist in editing, allowing writers to focus more on creative aspects. Similarly, in customer service, chatbots handle routine queries, enabling human agents to tackle more nuanced customer issues.

By highlighting such examples, we can shift the narrative from automation as a job stealer to a valuable collaborator, enhancing our work rather than diminishing it. It's about finding that sweet spot where human ingenuity and automated efficiency coexist harmoniously.

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