AI Creates a Barbell Economy in Hotels and Beyond

When BlackRock launched in 1988 with eight people in a single room, its founders bet that data and technology could clarify investment risk. That firm now manages $14 trillion. Meanwhile, the average SEC-registered investment adviser serving individual clients also employs eight people—and manages $424 million.

The giant grew vastly larger. The boutique became easier to build. The pressure landed in the middle.

This pattern—what Kasa CEO Roman Pedan calls a "technology barbell"—is now reshaping hospitality and threatens to reorganize much of the service economy as artificial intelligence removes coordination costs at both ends of the scale.

Why it matters

Mid-sized service businesses face a strategic inflection point. AI doesn't just automate tasks; it eliminates the coordination tax that once justified institutional scale while simultaneously lowering the capability threshold for small operators. Companies caught between these forces must either build differentiated platforms, join larger ones, or specialize enough that customers pay a premium.

The wealth management precedent

Wealth management demonstrates the mechanics clearly. In 2025, the industry recorded 322 transactions, up from 272 the prior year, according to DeVoe & Company. But the composition shifted dramatically: 18% more sellers, 19% fewer buyers, and first-time buyers represented just 8% of deals—the lowest share on record. Acquisitions are concentrating into private equity-backed platforms.

Small advisers aren't disappearing. Their numbers reached a record 16,544 in 2025, with more than two-thirds managing under $1 billion. Large platforms spread infrastructure costs across volume. Small specialists rent capabilities they could never afford to build. Mid-sized firms carry institutional overhead without the volume to justify a differentiated platform.

Hotels face the same squeeze

Hospitality is experiencing identical dynamics, though the evidence appears in nightly rates and labor hours rather than assets under management. Across 2,216 hotels in CBRE's latest Trends survey, revenue grew 2.6% in 2025 while total expenses climbed 3.1%. Gross operating profit margins declined from 35.1% to 34.8%.

A 50-room independent hotel must forecast demand, set prices, distribute inventory, provide 24-hour service, schedule housekeeping, coordinate maintenance, and reconcile payments. Global chains spread those capabilities across thousands of properties. Independent owners cannot—until now.

Pedan's company acquired Mint House in January, a brand operating nearly 1,000 units across 22 properties. After integrating most locations onto Kasa's AI-native platform, direct bookings increased more than sixfold as a share of business. Average Google review scores rose from 4.24 to 4.56. Same-store revenue per available room jumped 19.2% year over year.

The buildings didn't change. The operating layer did.

The vulnerable middle

Pedan predicts the greatest pressure will fall on regional managers and smaller brands operating 15 to 50 hotels—large enough for corporate overhead, too small to spread platform costs across sufficient volume. Consolidation has already accelerated: Stonebridge acquired Real Hospitality to exceed 160 hotels, Nautic Partners bought Davidson Hospitality, Griffin merged into Meyer Jabara, and PM Hotel Group absorbed Sightline Hospitality's 22 properties.

This pattern will extend beyond hospitality into property management, healthcare services, accounting, insurance, and logistics—any industry built around fragmented software and repetitive coordination.

The next generation of important AI companies may look less like software vendors and more like operators, Pedan argues. They will combine industry expertise, people, and technology into integrated operating models, run services directly, and make capabilities available to businesses of every size.

These details were first reported by Roman Pedan writing for Fortune.