Academic ResearchDecember 10, 2024Current Issues in Tourism

AI and the Future of Talent Management

This paper argues that future hospitality performance will depend less on having more staff and more on having teams that can work effectively with AI. Hotels that begin building AI literacy now through hiring, training, and manager development are likely to be in a stronger position than those that wait. The research also points to practical uses in workforce planning, especially smarter scheduling and better use of labor data. The business implication is that AI should be used to improve decision-making, strengthen productivity, and support employee development, rather than being seen only as a tool for reducing labor cost.

Authors

Georges El Hajal, Ian Yeoman

Article content

What the paper studied

This paper investigates how artificial intelligence (AI) will reshape talent management in the hospitality industry by 2035. Using scenario planning, the authors map out four possible futures based on two key variables: the speed of AI adoption in hospitality and the industry's effectiveness in managing the human transition. The research focuses on how hiring, training, scheduling, and leadership will need to evolve as AI becomes pervasive, and what steps hospitality leaders should take now to prepare their organizations and teams for these changes.

Key findings

The most likely scenario is a hospitality workforce that is smaller in transactional roles but higher-skilled and better-paid in positions that require relationship-building and human judgment.
Competitive advantage will shift from having the largest staff to having teams that are fluent in working with AI—staff who can interpret AI outputs, collaborate with AI tools, and provide uniquely human insights.
Key competencies rising in importance include comfort with data and analytics, the ability to critically evaluate and act on AI-generated recommendations, and a mindset of continuous learning as technology evolves.
Organizations that start hiring for these AI-related competencies now, rather than waiting until they are industry standard, will gain a significant talent advantage.
Upskilling current staff for AI-augmented roles is both practical and beneficial, requiring not just technical training but also broader development in data literacy, critical thinking, and workflow redesign. Hotels piloting AI literacy programs report improvements in both performance and staff retention.
AI-driven scheduling tools can optimize staff-to-demand ratios, reducing labor cost waste and management complexity. However, the paper cautions that over-optimizing for cost can make operations brittle; the best models balance efficiency with the flexibility needed for premium service.
The most effective leaders in the coming years will be those who can guide teams through uncertainty, make evidence-based decisions about AI adoption, and foster cultures of continuous adaptation, rather than simply possessing deep technical AI knowledge.

Why it matters for hospitality

As AI transforms both operational and human resource practices, hospitality organizations that proactively build AI literacy and adaptive leadership will be better positioned for future success. Focusing on human-AI collaboration—rather than viewing AI solely as a tool for reducing labor costs—helps maintain high service quality and employee engagement. This approach ensures that organizations remain competitive as the industry evolves, rather than falling behind due to reactive or short-term strategies.

Practical takeaways

Start hiring for AI fluency and data skills in addition to traditional hospitality service competencies to future-proof your workforce.
Invest in comprehensive training programs that go beyond technical skills to include data literacy, critical thinking, and the ability to redesign workflows for AI-augmented roles.
Implement AI scheduling tools to optimize labor costs and match staffing to demand, but ensure that enough flexibility is retained to deliver premium guest experiences.
Prioritize leadership development that equips managers to lead teams through technological change, make informed adoption decisions, and build cultures where adaptation is expected and supported.

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