The Economics of Standing Still
Imagine a general manager at a 200-room hotel. She has been running this property for eleven years. She knows its rhythms — the winter conference season, the summer leisure surge, the shoulder months that require a different kind of discipline. She has watched every major technology wave move through the industry: the migration to online booking, the loyalty platform buildout, the mobile check-in pilots, the proliferation of third-party integrations that now connect her property management system to somewhere north of thirty other applications. She has opinions about all of it, formed through experience with what actually works at 7 a.m. on a sold-out Saturday when the housekeeping dispatch system goes down.
A founder comes in to pitch her. He has built something genuinely useful — a tool that addresses one of the integration failures she has watched repeat itself for years. She is interested. She is also running a property with a 4% net margin, a technology stack she didn’t design and can’t easily replace, and no dedicated IT staff to evaluate, implement, or support anything new. She gives the founder forty-five minutes. The meeting ends the way most of them end: let me think about it.
The founder leaves wondering why the industry is so slow to change. The GM goes back to her property and thinks about how she’s going to fund the roof repair that can’t wait another season.
This is not a story about a risk-averse operator who doesn’t see the value of innovation. It’s a story about the structural conditions of a business that make innovation genuinely difficult to pursue — conditions that have nothing to do with attitude and everything to do with economics.
The previous piece in this series traced the technology stack underneath a single hotel stay — the dozens of systems that have to coordinate, in sequence, in real time, to produce what a guest experiences as a seamless trip. What it named as a structural condition — an infrastructure accumulated through patchwork, with high switching costs and fragmented ownership — raises an obvious question: why doesn’t the industry fix it? The money flowing through hospitality is enormous. The problems are visible and persistent. The technology to address them largely exists.
The answer starts with money, but not in the way the question implies.
Hotels spend roughly 1 to 3 percent of operating revenue on information technology. Financial services firms spend 7 to 10 percent. Healthcare systems spend 4 to 6 percent. Even retail, not typically understood as a technology-forward industry, outspends hospitality on a percentage basis. This gap isn’t incidental — it reflects a fundamental difference in what each industry has historically understood technology to be for. In financial services, technology is the product. In hospitality, technology is supposed to disappear.
The consequence of that gap compounds quickly. When an industry’s technology budget is already thin, roughly 63 percent of it — according to Hospitality Technology’s 2024 Lodging Technology Study — goes to maintaining systems that already exist. Not improving them. Not replacing them. Maintaining them. What remains for anything new is, in most properties, genuinely small. And that small allocation has to compete with every other capital claim on an operation running at margins that leave almost no room for experiments that don’t immediately pay off.
The budget constraint alone would be enough to explain a lot. But there is a second problem sitting beneath it that makes the first one nearly impossible to escape.
The property management system at the center of most hotel operations — the platform that tracks room availability, coordinates housekeeping, manages check-in and checkout, and posts charges to guest folios — is connected, through years of accumulated integration work, to an extraordinary number of other systems. Oracle’s Opera platform, one of the most widely deployed PMS solutions in the world, maintains integrations with more than 2,500 vendors. Replacing it isn’t a technology decision in any straightforward sense. It’s closer to an act of neurosurgery on a conscious patient. The data migration alone can take months. The channel manager connection — the link between the PMS and the online booking platforms that drive a significant share of reservations — has to go dark during any cutover, which means accepting a controlled revenue loss as the cost of change. One major brand’s cloud PMS migration across thousands of properties, announced in 2022, was still in progress as of early 2026.
The systems aren’t entrenched because operators love them. They’re entrenched because the cost of changing them — measured in operational risk, staff retraining, integration rebuilding, and revenue disruption — is high enough that the rational choice, year after year, is to defer.
There is a third structural condition that rarely gets discussed in the same breath as the first two, but belongs in the conversation. The major hotel brands whose names appear above the front desk directly manage somewhere between 10 and 28 percent of the properties bearing their flags, depending on the brand. The rest are franchised: owned by independent investors who operate under brand standards but make their own capital decisions. When a brand decides to modernize technology across its portfolio, the rollout it can execute directly touches only that managed fraction. For the rest, adoption depends on franchise agreements, per-property installation costs that can run into six figures, and quality-assurance cycles that move on their own timeline. The people who design innovation and the people who would implement it are often operating under different ownership structures, different incentive systems, and different tolerances for disruption.
And then there is the pace mismatch — the one that may be hardest to design around. Cloud software companies ship updates continuously. The property-level infrastructure those updates have to work inside — the physical building, the wiring, the network, the hardware embedded in walls and ceilings and behind front desks — operates on a renovation cycle of five to seven years. Brands require franchisees to complete a Property Improvement Plan on roughly that schedule. Capital expenditure per available room recently reached a record high. The physical environment that technology has to serve is expensive, slow-moving, and constrained by agreements that were written before anyone knew what the technology would look like.
Taken separately, each of these conditions is a friction. Taken together, they form something more coherent: a system that has organized itself, through decades of rational individual decisions, to resist the kind of rapid change that innovation typically requires.
That’s not a failure of will. It’s not a culture problem or a mindset problem. It’s what a service industry looks like when it has been optimized, over a very long time, for operational continuity on thin margins. Every structural condition described above is the predictable outcome of that optimization. Operators aren’t ignoring the problems. They’re managing the trade-offs that the economics of their business require them to manage.
Understanding those conditions as structural rather than cultural changes what questions are worth asking. It shifts the frame from “why won’t operators change?” to something more productive: given these constraints, where does meaningful innovation actually come from?
And what would have to be different for more of it to emerge from inside the industry rather than arriving at it from the outside?
Scott Hill is the Founder and Executive Director of The Proxenia Foundation and the founder of the Proxenia Accelerator programs in Central Florida.
