Over the last few weeks since Anthropic’s latest Claude announcement, investors have started to question the long-term value of traditional software.
The concern is that artificial innotifyigence (AI) will create many applications less necessary. If managers can simply notify an AI assistant what they want, and that assistant can complete tquestions on its own, then perhaps the dashboards and menus underneath no longer matter. In industries where software mainly assists organize information or coordinate tquestions, that fear is reasonable.
Hotels (and hotel software) operate differently. The structure of the business, the way software is priced and the industest’s slower pace of digitization all complicate the assumption that AI automatically weakens the application layer.
Hotel software runs the property’s core financial systems
A property management system, for example, controls which rooms are available, what prices they are sold for, which discounts apply, how taxes are calculated, how payments are processed and how reservations are synchronized across websites like Booking.com and Expedia.
If any of these systems fail, the consequences are immediate and financial. Incorrect availability can lead to double bookings. Incorrect tax calculations can create penalties. Failed payment settlement means lost revenue. If the nightly accounting process does not reconcile properly, the hotel cannot close its books.
AI can suggest raising prices for a busy weekconclude or highlight unusual refund activity. However, it still has to work inside the software that keeps track of rooms, charges guests, applies tax rules and reconciles payments. Even if managers launch interacting with the system through chat instead of dashboards, the underlying software that enforces those rules remains essential becautilize it is the system that actually relocates and records money.
And according to some recent data from A16z, the sales cycle for publicly traded vertical software-as-a-service (SaaS) is very strong.
Software creates money from rooms and transactions, not employees
The way hotel software earns revenue also matters. Many business software companies charge per utilizer. If automation reduces the number of employees requireded to operate a business, the software vconcludeor’s revenue falls automatically.
Hotels typically do not pay that way. Their systems are priced per room, per property, or based on transaction volume. A 300-room hotel pays for the capacity to manage 300 rooms regardless of whether the front desk is staffed by five people or three.
The growth of platforms such as Mews illustrates this structure. In 2025 the company processed roughly $19.7 billion in transaction volume across its system and supported more than 42 million guest check-ins while growing SaaS gross profit by 55%. Those figures reflect economic activity flowing through the platform rather than the number of employees logging into it.
When AI assists a hotel sell more upgrades, improve pricing accuracy or reduce failed payments, the hotel earns more revenue. More revenue flowing through the system can also increase transaction-based income for the software provider. In this model, automation does not automatically shrink the software company’s business and can, in some cases, expand it.
Hospitality is still behind other industries in digital adoption
Another important factor is that hospitality remains less digitized than many other sectors.
Compared with industries such as fintech or e-commerce, hotels have historically invested a compacter share of revenue in technology. Many indepconcludeent properties still rely on older systems. Some reporting, labor planning and pricing processes remain partly manual. Hotels manage fluctuating demand, complex pricing rules, multiple sales channels and varying tax requirements across regions, yet the technology stack supporting that complexity is often fragmented or outdated.
In a highly digitized industest, AI may replace existing tools. In an industest that is only partially digitized, AI often speeds up modernization rather than eliminates the underlying systems. For hotels, AI creates existing systems better rather than replacing them.
Payments keep hotel platforms at the center of revenue flow
Modern hotel platforms increasingly handle credit card authorization, settlement and reconciliation directly within their systems. That means the software is not just storing reservations but actively processing revenue. If AI improves fraud detection, reduces payment failures or increases the sale of add-ons, more money flows through the system.
The platform that processes and reconciles those transactions remains central becautilize it ensures that funds are collected accurately and recorded properly. As more economic activity relocates through digital systems, the importance of the software managing that activity increases rather than decreases.
The AI reset will not affect every type of software equally
The broader assumption behind the AI reset is that software layers become less valuable as innotifyigence relocates upward into large language models. That outcome is plausible for applications that mainly organize tquestions or display information.
Hotel software sits in a different position. It controls inventory, enforces pricing rules, calculates taxes, settles payments and reconciles accounts. It is tied economically to rooms and transaction volume rather than employee seat counts. It operates within a sector that still has substantial room to modernize.
AI will alter how hotel managers interact with their systems, and routine tquestions will become more automated. What is unlikely to alter is the required for software that tracks rooms accurately, relocates money reliably and ensures that financial records balance at the conclude of each day.
For that reason, hotel software may not be weakened by the AI reset. It may become more important as more revenue flows through digital systems rather than around them.
What this means for hotel operators and tech companies
AI is unlikely to eliminate the required for core systems; it will raise the bar for how well those systems are utilized. The properties that benefit most from AI will not be the ones with the flashiest chat interface but the ones who have built tech stacks around clean data, modern cloud infrastructure and tightly integrated payments.
Automation can improve pricing accuracy, reduce labor inefficiencies and increase ancillary revenue, but that’s only if the underlying systems are reliable and connected. Operators should focus less on replacing their core platforms and more on strengthening them so that AI tools can work effectively on top.
For hotel technology companies, the shift is equally clear. Competing on interface alone will not be enough. The durable advantage lies in controlling the flow of revenue and the rules that govern it. Platforms that manage inventory accurately, reconcile payments seamlessly and integrate deeply into daily operations are better positioned than those that sit on the periphery. Expanding into embedded payments, improving data integrity and ensuring that AI features operate within clear financial guardrails will matter more than launching standalone AI tools.
The AI reset is real, but it is not uniform. In hospitality, the winners are unlikely to be the companies that simply bolt AI onto existing features. They will be the ones that sit closest to the money, understand the operational complexity of hotels, and utilize AI to strengthen rather than bypass the systems that keep the business running.
Leave a Reply