AI and the Future Hospitality Workforce: Disruption, Decisions, and a Human Touch

Abstract

Staff shortages, recruitment challenges, and rising guest expectations force hospitality organisations to rethink how they manage people. Artificial Intelligence (AI) is increasingly being introduced to support this shift. AI tools are reshaping how hospitality teams are built and supported. But for an industry that thrives on warmth, empathy, and personal service, the rise of automation raises key questions. How can AI be leveraged to support, rather than replace, the human touch? And how can hospitality professionals be prepared to work alongside intelligent systems. This article draws on two completed research projects and one viewpoint article exploring how AI reshapes hospitality talent management. The first was a qualitative study on Gen Z career expectations based on interviews with hospitality students and recent graduates [1]. The second research applied scenario planning methods to imagine four possible AI-driven futures for hospitality work by 2035 [2]. The third article focused on curriculum redesign and graduate preparedness for working with intelligent systems [3]. Together, these projects offer original, practice-focused insights for an industry in transition. What Gen Z wants and what AI misses A study on Gen Z talent management offers a clearer picture of the values and expectations shaping this emerging workforce [1]. Gen Z seeks more than just employment; they desire purpose, meaningful work, and growth opportunities. Notably, they are not inherently impressed by automation. If AI is deployed in ways that depersonalise the workplace or limit human interaction, it risks disengaging the very individuals it aims to support. In this way, Gen Z serves as a compass: their expectations remind the industry that technology must serve people, not the other way around. This tension is explored in a second paper using scenario planning based on a variation of the Shell Method and Dator’s Alternative Futures Framework [2, 4, 5]. The study explored how AI might reshape hospitality work by 2035. Four possible futures were developed, from highly efficient AI-driven workplaces to balanced environments where humans and machines collaborate. The findings were clear: in scenarios where AI human element, risks such as ethical dilemmas, reduced service quality, and employee dissatisfaction increased. However, these benefits are contingent on AI being used transparently, ethically, and in alignment with organisational values, especially given persistent concerns around algorithmic bias, opaque decision-making, and trust in AI systems [6]. Yet even in the most balanced scenarios, a critical question remains: who decides how and when AI is used? Together, these insights point to a growing consensus: AI must not only enhance operational efficiency, but also align with human-centred values to remain relevant to a values-driven, purpose-seeking Gen Z workforce [7, 8]. This brings us to how AI is shaping decision-making itself. When AI decides for us AI is already quietly influencing decision-making processes. A review of Hilke Schellmann’s book The Algorithm reflects how automated decision-making reshapes HR practices [9]. AI now plays a role in determining who gets interviewed, promoted, or even dismissed. These tools promise objectivity but are only as fair as their training data, and often lack transparency. Without careful oversight, there is a risk of outsourcing profoundly human decisions to systems lacking empathy, context, and accountability.This challenge underscores the role of education. The paper Transitions into the Futures argues that hospitality education must evolve urgently [3]. Static skills are no longer sufficient. Graduates must understand how to work with AI, interpret its outputs critically, and engage with its ethical implications. AI literacy—understanding the capabilities and limitations of these systems—should be embedded in all hospitality curricula. While education lays the foundation, it is equally vital for hospitality leaders to understand how these insights translate into everyday operational practice. Implications for hospitality practice AI offers tangible benefits to hospitality HR when applied with care. It can reduce administrative burdens, personalise learning journeys, and help managers identify early signs of disengagement or burnout. It can streamline recruitment, support diversity objectives (when thoughtfully designed), and generate valuable insights for workforce planning. However, these benefits are contingent on AI being used transparently, ethically, and in alignment with organisational values, especially given persistent concerns around algorithmic bias, opaque decision-making, and trust in AI systems [6, 3]. To integrate AI effectively, hospitality leaders could start by identifying low-risk, repetitive HR tasks that can be automated.Piloting small-scale tools, such as AI-assisted scheduling, training recommendations, or CV screening, allows space for testing and feedback. Investing in AI literacy for management teams, and involving staff in the process, can help build trust and reduce resistance. At its heart, hospitality remains a human-centred industry. No algorithm can replicate a warm welcome, an intuitive act of service, or a moment of genuine connection between guest and team member. It is worth embracing AI if it creates more time and space for these interactions. However, if it distracts from the human relationships that define the industry, careful reflection may be required. Ultimately, the goal should not merely be smarter systems, but a more equitable, responsive, and human approach to hospitality. By adopting this approach, industry can ensure that technological progress empowers people rather than marginalises them, making AI an ally to hospitality, not its replacement