Acquisition cost is rising on a channel stack hotels don't control
McKinsey's agentic advertising report puts numbers on a shift hotel commercial leaders should be reading closely
Driving the news. A McKinsey report published this month, drawing on a survey of 182 US-based media buyers, finds that roughly 40% of advertising spend shifting into AI-driven formats is being pulled directly from traditional search and open-web budgets. The report — sourced from a firm with consulting relationships across the ad tech stack, a stake worth noting — maps four scenarios for how the advertising economy reorganizes around AI. In all of them, value concentrates with platforms that bundle data, measurement, and transaction capability in a single environment. McKinsey does not break out travel or hospitality spend specifically; the survey covers US advertisers broadly. The structural read for hotels follows from the architecture, not from measured sector data.
The catch. The money isn't moving to neutral ground. It's moving into walled gardens and AI-native platforms — Meta, TikTok, Google's integrated stack, and an emerging tier of LLM-based surfaces like ChatGPT and Perplexity — where closed-loop measurement and transaction visibility give the platform a structural advantage over any individual advertiser. Hotels are not the buyers making this reallocation. The buyers are the agencies and brand advertisers who collectively set the price of attention across the channels hotels depend on. What shifts for them shifts the floor for everyone competing in the same inventory. OTAs already operate inside these environments. They have the data infrastructure to participate in AI-native formats and the transaction volume to qualify for closed-loop measurement deals. Independent hotels, and many branded ones, do not.
What it means for hotels. Acquisition cost is a figure that rarely appears as a clean line on a hotel P&L. It's typically netted off before the ledger opens — absorbed into OTA commission structures, blended into marketing budgets, or distributed across channel costs that are reported separately. That netting makes the figure easy to underestimate in stable conditions. It makes it harder to track when the conditions change. A channel stack being repriced by buyers operating at scale, toward platforms where hotel visibility depends on algorithmic eligibility rather than direct bid control, is exactly the kind of condition change that doesn't announce itself clearly until the figure has already moved. McKinsey's framing is pointed: companies with stronger data, measurement, and transaction capability capture a disproportionate share of value. Hotels, at best, have one of those three.
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