A recent University of Houston report on robots in hospitality claims that by 2030 over a quarter of hospitality jobs will be replaced by robots. Will robots ever replace all humans in hospitality? Next-gen technology will undoubtedly replace mundane, repetitive, and dangerous jobs in hospitality performed by housekeepers, porters and baggage handlers, concierges, security guards, line cooks, room service, bartenders, waiters, etc. Some hoteliers claim that hospitality is an industry of "people serving people" and robots will be playing only a marginal role. Others, citing the high labor costs which constitute as much as 50%-84% of overall hotel costs in these low travel demand, low occupancies era, predict that robots will replace humans in all dangerous, repetitive and mundane jobs at the property.

The question is, are robots coming to a hotel near you anytime soon? 

Marco  Correia
Marco Correia
Partner & Co-Founder, T-Hotel Hospitality Knowledge

When I first read the study published in 2018 by the University of Houston, "Beware hospitality industry: the robots are coming", a mix of surprise and disbelief crossed my mind. The bold statement ( based on PwC research) that by 2030 a quarter of all hospitality jobs in the USA would be automated didn't resonate. Regardless of my fellow technologists' enthusiasm, I still carry a hotelier hat, and I decided to analyse this matter with a good scepticism dose.

The truth is that jobs are complex. Robots can handle repetitive and tedious tasks like baggage handling or public areas cleaning, but these are part of much more complex functions. History shows us that jobs tend to be resilient. In 1950 the U.S. Census Bureau listed 250 different jobs. Since then, the only one to be eliminated was the position of the elevator operator. I have difficulties believing that functions like waiters, bell boys, concierges and room maids are on the brink of extinction. I foresee the introduction of robots in our industry at a much slower pace, very dependent on factors like the ones briefly explained below:

Class of service: If I can easily accept that robots will have a role in the economy segment, I have great difficulties believing in a similar success in the upscale and luxury markets where the guests valuate the human touch and glamour. A robot is ok to cook a burger but will never have the art of a maître to perform a champagne sabrage.

Business model: Robots are expensive to acquire and to maintain. An upfront cost in capital expenditure will be a barrier to such devices' entry into our industry. Some companies (e.g. Dishcraft Robotics) are already providing RaaS ( Robotics as a Service ) options that can become more attractive to hotel owners and operators. However, as we stand today, the Capex model is still prevalent.

Environment: The current generation of robots is successfully operating in controlled environments such as warehouses. By nature, all the guest spaces are uncontrolled environments with unpredictable movements, crowds and rhythms. I agree that we can see the adaption of robots in the back of the house functions rapidly. However, I am still reluctant about the massification of robot usage for guest-facing operations. Regardless of the fast-paced progress, initial experiments with robots in guest-facing functions were not so successful (e.g. Henn na Hotel in Japan "fired" in 2019 more than half of its robotic workforce)

Integrations: Finally, to be practical, robots need to be highly interoperable with other systems in usage at the hotel. Our industry is known to have a fragmented technology stack where integrations are the Achilles heel. One of the harsh realities that the Covid crisis brought us was that owners' willingness to invest in technology is still very low even when there is an opportunity to use it to optimise a cost structure. There are no signs that this will change dramatically in the next nine years, with some exceptions. It is unlikely that hotels will become highly connected and data-rich environments where robots can operate seamlessly like it happens, for instance, at an Amazon warehouse.

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