AI and Sustainable Hospitality: Boon or Bane?
18 experts shared their view
Artificial Intelligence (AI) has the potential to revolutionize sustainability practices. Or so the theory. Advancing the sustainability agenda is not (yet) the main driver for businesses to utilise artificial intelligence. Studies point to other goals related to AI implementation such as automating workflows, cost savings and quality improvement in production processes or personalized customer experiences [1,2,3]. But are we possibly missing AI's potential on the hospitality sustainability front?
The most obvious application may be in the collection and evaluation of sustainability-relevant data whether for reporting purposes (e.g. CSRD) or baseline setting and benchmarking; because AI can analyse that data and recognize patterns ensuring a quick and accurate output of various footprints (e.g. energy, water, waste).
But it seems as if there is some level of confusion in the industry currently between traditional (or non-AI) technology solutions and AI. Traditional technologies are important in driving sustainability (e.g. motion sensors for lighting), but these do not adapt based on learning or pattern recognition nor do they integrate or analyse complex data sets to improve their performance. AI's power is in predictive analysis. AI can elevate the utility of traditional technologies by enabling them to work in a smarter, interconnected, and dynamic way. For example, while motion sensors control lighting based on movement, AI can analyse occupancy trends over time to optimize lighting schedules proactively or adjust them for maximal energy savings without compromising guest or employee comfort.
The synergy between AI, traditional technologies, and human interventions forms the crux of successful sustainability strategies. Yet, the real challenge lies not just in the understanding of AI and adoption of traditional technologies but in mapping the plethora of AI and other sustainability technologies options available. A comprehensive database or mapping of available sustainable technology solutions for hospitality is missing. This gap hinders effective decision-making and slows down sustainable actions.
With this in mind,
- is AI a panacea for all our sustainability challenges?
- or just another tool whose efficacy still hinges on the blend of technological integration and human-centric strategies?
In order to bridge the knowledge gap on the topic of AI and technology in enhancing sustainability across the hospitality industry, experts may choose to answer any of the four additional questions:
- Where can I use AI as an operator or sustainability manager in hospitality?
- Can you provide examples of successful real-world applications of AI in hotel development and operations that have led to measurable improvements in sustainability?
- What frameworks or platforms could be established to help hospitality businesses in understanding and selecting the appropriate technologies for their specific sustainability needs?
- In which ways will the European AI Act [4] affect the implementation of AI in Hospitality?
References
[1] Eurostat (May 24, 2024). Use of artificial intelligence in enterprises. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Use_of_artificial_intelligence_in_enterprises#Types_of_AI_technologies_used
[2] Koch, D,. Lentes, J., Schuseil, F., & Waltersmann, L. (2022). Nachhaltigkeit durch KI. Nachhaltigkeit durch KI. https://www.ipa.fraunhofer.de/de/Publikationen/studien/nachhaltigkeit-durch-kI.html
[3] Grebe, M., Franke, M. R., & Heinzl, F. (2023). Artificial intelligence: how leading companies define use cases, scale-up utilization, and realize value. Informatik Spektrum, 46, 197-209. https://doi.org/10.1007/s00287-023-01548-6
[4] European Commission. (2024). AI Act. https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
Generative AI will undoubtedly have enormous potential to improve sustainability in hospitality and beyond, possibly more than any previous technological breakthrough. But equal to the previous breakthroughs, we (the guests that the industry relies on) must show interest in this. As long as the discussion revolves around whether guests have the right to use ridiculous amounts of water in locations in drought, or eat foods brought from half a world away just because their every desire has to be met, we are stuck in the stone age of sustainability. We risk falling prey to the myth of the technological fix (Oelschlaeger, 1979), a common misconception that technology will solve a problem for us. We are the problem, and only once our fundamental attitudes change can true sustainability transformation, supported by AI, start. Let's not wait for something else to do this for us, or we might find ourselves in a science-fiction future where AI, having analyzed the state of the planet based on climate and biodiversity research, will set and enforce the limits of consumption for us to protect Earth.
Oelschlaeger, M. (1979). The myth of the technological fix. The Southwestern Journal of Philosophy, 10(1), 43–53.