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What if the robots replaced the humans in the hotels?
01 January 0001

3 reasons hospitality managers can’t be replaced by robots

Advances in technology disrupt industries. While much of the focus on new technology is how it’s created new gig economy jobs for willing workers, the harsh truth is that such innovation will spell the end of many present-day careers.

Researchers in the U.K. identified 12 jobs that have a 99 percent likelihood of replacement by robots by the year 2030, including library technicians, freight agents, and telemarketers. In good news for hospitality students, hospitality roles have a low likelihood of replacement by robots. See why below.

3 Reasons Robots Won’t Threaten Hospitality Management Positions

Jobs that have a low likelihood of being replaced by robots have three characteristics in common — three characteristics that are found in hospitality management positions.

These characteristics are relationship building, handling the unpredictability, and creativity.

  1. Realtionship building

Relationship building is key to the guest experience in all hospitality positions. While robots may have applications in some hotel roles, such as concierge, they do not have the language processing or emotional intelligence skills to build relationships. Imagine a robot trying to handle a special request for a very important guest and you will see why a human must fill this position for the foreseeable future.

  1. Creativity

Creativity is another complicated thought process, pulling from left and right brain hemispheres that can’t be replicated in binary code. Here again, robots cannot please hotel guests with personalized cultural experiences or creative special touches. All hotel jobs that call on creativity, from head chef to hospitality manager, are safe from AI.

 

  1. Handling the unpredictability

Managers often step in when emergencies or service issues arise. Adeptly handling unpredictable emergencies requires emotional understanding, sensitivity, and problem-solving skills robots can’t learn.

 

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