Automation ≠ job killers

The general public’s perception of automation is that it will take jobs away from the majority of the population. As we talked about in a previous MOS article: that is not the case; they are here to support you in your work and make your working life easier.

Yes, many jobs will be replaced by machines. doing repetitive jobs and machine-like actions that not many people want to do. But instead, many jobs which even now do not exist will be created, and with it many job opportunities. And, for better or worse, that time is not far off. According to IDC (International Data Corporation) , it is predicted that in the year 2022, 77.6 billion dollars will be invested in Artificial Intelligence (AI) equipment, three times the amount spent in 2018.

Building the future

Within a company, it is important to know which part you want to automate, and within it, you can find several factors to finally make a decision. Depending on what your company does, it may vary where is the most efficient place to strengthen your AI. Companies often focus on business processes or operations that are high volume and repeatable but do not provide full value in their current state.

It’s also important that to get the most out of automation, you have allies on your team who are willing to work alongside the AI; especially those who will be affected by this change. Once the first changes are being made, and you perform your pilot test, you will be able to see who has the most efficient relationship with the AI.


It is important to show stakeholders and employees the ROI (Return on Investment)  that can be achieved through automation without jeopardizing their jobs. On the other hand, if your IA involves customer interaction, it is important that companies begin to create a sense of trust in the machines and machine-human interactions. 

Be open and honest. Tell customers how their information and privacy are being handled positively by the machines. Business leaders should be less concerned with the fear that AI causes on their employees, and should start worrying more about how to use it correctly and grow their business.

Dube, C.(2020, January). Building A Human-AI Hybrid Workforce. Retrieved February 2020.

Minonne, A., Schubmehl, D., &; Manabe, T. (n.d.). Worldwide Artificial Intelligence Spending Guide. Retrieved November 12, 2020, from

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