FROM PILOT TO PARADIGM SHIFT: REAL-WORLD OPERATIONALIZATION OF AI & ROBOTICS IN HOSPITALITY

As the hospitality industry continues to evolve in response to labor shortages, rising guest expectations, and economic pressures, the adoption of artificial intelligence (AI) and robotics is no longer a futuristic concept—it is an operational reality. From small, independently owned restaurants to billion-dollar integrated resorts, hospitality organizations are introducing AI and robotics to enhance service delivery, improve efficiencies, and create more personalized guest experiences. This editorial highlights three essential best practices for successful implementation: (1) educate and find the champion, (2) measure twice, and (3) phase it out. Through a practical lens, we explore how operators can empower their teams, establish realistic projections, and ensure strategic rollout to drive adoption and long-term success.

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Publication Details

Journal
Artificial Intelligence Machine Learning & Robotics in Business
Published
2025-05-04
DOI
https://doi.org/10.32473/aimlrb.1.2.139239
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
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article

FROM PILOT TO PARADIGM SHIFT: REAL-WORLD OPERATIONALIZATION OF AI & ROBOTICS IN HOSPITALITY

Andrea Melotti
Artificial Intelligence Machine Learning & Robotics in Business
Insurance and Financial Risk Management
article

FROM PILOT TO PARADIGM SHIFT: REAL-WORLD OPERATIONALIZATION OF AI & ROBOTICS IN HOSPITALITY

Andrea Melotti
article en

Abstract

As the hospitality industry continues to evolve in response to labor shortages, rising guest expectations, and economic pressures, the adoption of artificial intelligence (AI) and robotics is no longer a futuristic concept—it is an operational reality. From small, independently owned restaurants to billion-dollar integrated resorts, hospitality organizations are introducing AI and robotics to enhance service delivery, improve efficiencies, and create more personalized guest experiences. This editorial highlights three essential best practices for successful implementation: (1) educate and find the champion, (2) measure twice, and (3) phase it out. Through a practical lens, we explore how operators can empower their teams, establish realistic projections, and ensure strategic rollout to drive adoption and long-term success.

Artificial Intelligence Machine Learning & Robotics in BusinessVol. 1(2)
True (United States) (US)
Openalex Percentile: Top 86%
Insurance and Financial Risk Management
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