From Bay Street’s quantamental lens, the more telling insight is not the decline itself but the structural inflection it represents — a pivot from aggressive rate-led growth to a delicate balance of occupancy preservation, margin discipline, and brand positioning. This echoes our discussions with prominent art families, who face similar cycles of “froth” and recalibration in the global art market. As one collector noted during a recent meeting, “You can’t keep chasing last year’s auction record prices — at some point, you have to curate for staying power.”
That sentiment mirrors the caution hoteliers now need to adopt.
Weekday demand — the proxy for business travel — remains muted. International inbound travel to the U.S. is also lagging badly, with some forecasts now pushing a full recovery back to 2029. The U.S. brand remains strong for outbound tourism, but inbound sentiment, as noted by Tourism Economics’ Aran Ryan, has been weakened more by perception and narrative than by specific policy barriers.
Bay Street’s macro scoring models track international travel sentiment as a forward indicator for urban hotel performance. Right now, those scores are converging with our “Cultural Signal Index” — a measure we also use when assessing cross-border art licensing deals. In both domains, perception drives flow, and narrative control becomes a strategic lever.
Isaac Collazo’s comparison of post-recession and post-pandemic recoveries revealed that ADR growth post-COVID was unusually front-loaded, driven by revenge travel and price-insensitive leisure demand. The problem is that demand has now flattened sooner than expected, forcing operators to consider whether to hold rate or sacrifice yield to protect occupancy.
Our quantamental framework — combining Bay Street’s “Hospitality Margin Map” with operator quality scores — suggests that in this environment, maintaining occupancy is the smarter play for long-cycle returns. Just as in art gallery management, where “pricing too high can clear the room before the auction even starts” (as noted in Management of Art Galleries), hotels risk creating a value gap that turns away both repeat guests and new demand.
While macro indicators were sobering, a parallel conversation at the conference was about AI’s role in reshaping hotel workflows, distribution, and marketing. Lori Kiel of Pyramid Global Hospitality called AI her “modern executive assistant,” but stressed the primacy of critical thinking.
This point resonates deeply with Bay Street’s view on technology adoption: AI is not a panacea but a force multiplier for disciplined operators. In our art family meetings, we’ve seen parallel interest in generative AI for provenance tracking, collection storytelling, and market positioning — tools that don’t replace curation but amplify it.
For hoteliers, the competitive edge will go to those who integrate AI into demand forecasting, rate optimization, and guest segmentation faster than peers — what we call “hospitality’s generative advantage curve.”
From our perspective, U.S. hospitality has entered a “consolidation and calibration” phase:
In Art Collecting Today, the author warns, “In every market correction, the best players are those who can filter noise from signal and keep building their collection with discipline.” In hospitality, that “collection” is your portfolio of high-performing assets, trusted brand equity, and resilient guest relationships.
The U.S. hotel market isn’t collapsing; it’s recalibrating. For those with a quantamental compass, the next cycle is less about chasing the ghost of 2019 and more about composing a portfolio — like a well-curated gallery — that will stand the test of the next decade.
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