Journal of Social Science and Human Research Studies (JSSHRS) · Research article · Open access
AI-Driven Operational Intelligence and Workforce Reskilling in U.S. Hotels
Salami Abdul Mohammed
22 August 2026 · Vol. 2, Issue 8, pp. 1544-1551
DOI: 10.65150/EP-jsshrs/V2E8/2026-19
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What is this article about?
hotel operations. AI-driven operational intelligence systems are being deployed across hotel operations at a pace that is structurally transforming what hotel managers are required to know and do.
Article at a glance
- Published
- 22 August 2026
- Volume / issue / pages
- Vol. 2, Issue 8, pp. 1544-1551
- ISSN
- 3051-3561 (online) · 3051-3553 (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
This paper examines the relationship between AI-driven operational intelligence adoption as the independent variable and workforce reskilling outcomes as the dependent variable in U.S. hotel operations. AI-driven operational intelligence systems are being deployed across hotel operations at a pace that is structurally transforming what hotel managers are required to know and do. Conducting a systematic narrative literature review of peer-reviewed research and verified industry evidence, the paper identifies five AI deployment domains generating the most consequential reskilling demands: revenue management analytics, workforce scheduling analytics, procurement and inventory analytics, guest data and personalization systems, and business intelligence dashboards. Drawing on Human Capital Theory (Becker, 1964; Schultz, 1961) and the Technology-Organization-Environment framework (Tornatzky and Fleischer, 1990), the review documents that the reskilling response to AI adoption in U.S. hotels is constrained primarily by organizational and environmental barriers rather than by the unavailability of reskilling tools or programs. The paper proposes a three-level reskilling framework calibrated to the operational realities of U.S. hotel properties at different scales, identifies five barriers that currently limit reskilling effectiveness, and argues that the workforce consequences of failing to close the analytical skills gap extend beyond individual property performance to national workforce development outcomes across an industry employing 2.17 million workers (AHLA, 2025a).
Keywords: Algorithmic oversight, Analytical capability development, Human Capital Theory, Labor productivity, Technology-Organization-Environment framework
Cite this article
Salami Abdul Mohammed (2026). AI-Driven Operational Intelligence and Workforce Reskilling in U.S. Hotels. Journal of Social Science and Human Research Studies, 2(8), 1544-1551. https://doi.org/10.65150/EP-jsshrs/V2E8/2026-19
@article{Salami2026,
title = {AI-Driven Operational Intelligence and Workforce Reskilling in U.S. Hotels},
author = {Salami Abdul Mohammed},
journal = {Journal of Social Science and Human Research Studies},
year = {2026},
volume = {2},
number = {8},
pages = {1544-1551},
doi = {10.65150/EP-jsshrs/V2E8/2026-19},
url = {https://doi.org/10.65150/EP-jsshrs/V2E8/2026-19}
}Questions about this article
Who wrote this article?
Salami Abdul Mohammed.
Where and when was it published?
In Journal of Social Science and Human Research Studies, Volume 2, Issue 8, pages 1544-1551, published by EP Journals Group on 22 August 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-jsshrs/V2E8/2026-19 (https://doi.org/10.65150/EP-jsshrs/V2E8/2026-19).
How do I cite this article?
APA: Salami Abdul Mohammed (2026). AI-Driven Operational Intelligence and Workforce Reskilling in U.S. Hotels. Journal of Social Science and Human Research Studies, 2(8), 1544-1551. https://doi.org/10.65150/EP-jsshrs/V2E8/2026-19
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