Why AI Can’t Replace the Human Touch in the Hospitality Industry

Emillio Mesa, a hospitality professional with 24 years of experience, maintains that artificial intelligence cannot replace the empathy and physical resourcefulness required to excel in high-end service roles. In an account detailed by Business Insider on May 3, 2026, Mesa argues that while technology can streamline business processes, the core of the hospitality industry relies on a human connection that software cannot replicate.

Mesa’s career has spanned a variety of high-pressure roles, including serving as a concierge, an events planner, and a VIP attendant for celebrities and ultra-high-net-worth clients. Throughout these positions, he has identified empathy as the central component of successful service, suggesting that the ability to respond to a guest’s emotional needs is a uniquely human trait.

The Integration of Technology and Etiquette

Reflecting on his entry into the industry, Mesa describes a training period that lasted 1 month. This onboarding was split into two distinct phases: the first two weeks focused on the technical application of a Customer Relationship Management (CRM) system, while the second half centered on etiquette and the psychological drivers behind guest complaints.

This dual approach led Mesa to conclude that technology and the human touch must function in tandem. He suggests that while a CRM acts as a digital address book and reminder system, it is insufficient on its own. According to Mesa, the goal of hospitality is to ensure guests feel genuinely seen, heard, and understood, a result he believes is superior to any auto-generated communication that attempts to mimic human concern.

Physical Resourcefulness and the AI Gap

Mesa points to the physical and unpredictable nature of high-end service as a primary reason why AI cannot replace human operators. He cites several instances of urgent, hands-on problem solving that require a physical presence and quick thinking, such as:

• Retrieving lost jewelry from dumpsters.
• Sewing clothes in emergency situations.
• Tracking down lost deliveries and shipping urgent packages.
• Printing last-minute presentations for corporate clients.

These tasks, Mesa asserts, require resourcefulness and presence—qualities that remain outside the capabilities of current AI technology. He notes that he has received letters from guests and companies thanking him for saving their jobs or their day through these specific, manual interventions.

Non-Digitizable Knowledge

Beyond physical labor, Mesa suggests that certain forms of cultural and personal knowledge are not accessible to algorithms. While hosting curated dinner parties, he utilized recipes passed down from his late grandmother, including a specific method for making empanadas by hand from scratch.

Mesa argues that while AI can generate a vast number of recipes, it cannot duplicate the specific, inherited seasoning and manual technique taught by his grandmother, as that information does not exist in a digital database for the AI to access.

The Future of the Service Workforce

While many workers express concern over being replaced by automation, Mesa views technology as a tool rather than a replacement. He describes the ideal operational model as a partnership where technology handles the efficiency of the process, but the human remains the lead operator.

For Mesa, managing expectations in the hospitality sector is not a matter of following a checklist. He describes the process as one of listening closely and making choices guided by empathy for the guest’s feelings. He concludes that the highest level of guest experience is achieved when human empathy directs the use of technological tools to create a specialized environment for the client.