Hoteliers Are Not Adopting Artificial Intelligence, Instead They Automate Their Dysfunction (19459000)
AI is a hot topic in the hospitality industry. A h2c/Cloudbeds survey found that 78 percent of respondents are using AI and that 89 percent intend to do so. One number is more important: only 6 percent of companies have an AI strategy. Technology has advanced faster than operational readiness.
It’s a new era.
The mood is changing. They want to find out what AI does. What is the cost-savings? It improves performance where? It can improve the customer experience or employee performance.
It’s not over yet: only 27 percent of hotels consistently measure the ROI on AI projects.
The industry must now confront a less-than-exciting reality: the way hotels operate.
The hospitality industry’s take on the phrase “garbage out, garbage in” is especially difficult. The SOP is in an old shared drive that hasn’t been updated for two years. The policy says one thing, but the GM claims another. Information is spread between PMS, CRMs, email, spreadsheets, and the head of someone, or a workaround which became standard at one property but never made it to the rest.
Otelier’s Hotel Operations Index for 2026 The study found that 91 percent still use manual reporting, despite automation. Just 11 percent of operators have an integrated technology stack and 27 percent use more than seven different platforms for one property.
When you speak to enough operators, it becomes clear what fragmentation is beyond systems.
You will get different answers if you ask the same question about operations at three properties. You might receive three different answers if you ask three general managers. No one is incompetent, or clearly wrong. It is just that the operation uses different methods to accomplish the same task.
It worked imperfectly when the people were the connecting tissue. A knowledgeable employee would know which policies were outdated. The GM was aware that the process in place on site did not match up with what is documented.
Front desk staff knew whom to contact when system and reality disagreed.
AI does not have this institutional instinct. It needs to find a way of connecting the answer with execution. This is what hospitality needs to solve if AI is going to be able deliver on a large scale. AI is able to interpret more data, and provides answers instantly. The speed of AI can magnify the value of the right answer. AI can magnify inconsistencies if the knowledge base is inconsistent, contradictory, or out-of-date.
AI is limited to what’s available, and the hospitality industry has given it a lot of chaos in a uniform. The most significant AI work in the coming years is not going to be glamorous.
Which answer is the most authoritative? Who is the owner? Last updated when? What properties and roles are covered? Employees can they find it?
Leaders can they see if it’s being done, what needs to be improved, or if the execution has stopped?
These questions will determine whether AI is useful, and whether it can be quantified. The use cases will become more clear once standards, execution and performance have been connected. The AI system should be able to detect errors before they reach guests, provide the correct answer for an employee when needed, identify patterns that a human team might miss, eliminate repetitive tasks, speed up resolution time, and give operators a clear picture of what is happening in their property. These are results you can quantify.
We have been far too fascinated with the idea of putting AI before guests because it is possible. Chatbots that answer faster are only better if they provide the right information and improve the customer experience. Automation is only useful if it can free up capacity that could be used elsewhere.
The hospitality industry should strive for AI to improve the operations behind the guest’s experience. This will give employees more capacity to perform what they are exceptionally good at, such as reading situations, exercising judgment, solving unusual problems, and making someone feel special.
The best result of AI investments is sometimes simple.
An employee will have enough time to inform a guest that “here’s my phone number”. This is how technology earns its place.
Prediction
AI will differentiate hotel companies that are able to turn their operational expertise into consistency in execution, from those who rely on technology.
Companies that do this well will be able to identify their standards of operation, control how changes are made, communicate them effectively, and ensure they’re being implemented consistently. It will be used aggressively to remove friction, catch mistakes, improve decisions and give employees back time.
AI is an expensive method for everyone else to discover problems which were present.
AI’s real value in the hospitality industry isn’t that it will make guests more tech-savvy. The real promise of AI in hospitality is not that guests will encounter more technology.
