Webinar
The AI-powered hotel: Balancing service delivery, consumer behaviour and sustainability in global hospitality
Hotels increasingly use artificial intelligence for demand forecasting, dynamic pricing, guest communication, maintenance, workforce scheduling and energy management. These systems may improve speed, consistency and resource planning, but they can also expose private data, reproduce bias and reduce employee authority. This webinar examines artificial intelligence across service delivery, consumer behaviour and hotel operations. It will distinguish specific applications with measurable purposes from broad claims that present automation itself as evidence of innovation or sustainability. Panellists will evaluate evidence concerning reductions in energy use, water consumption and food waste. The discussion will consider data quality, baseline selection and whether efficiency gains persist as occupancy or service demand changes. It will also address the energy and water required by digital infrastructure, together with rebound effects that can reduce expected savings. Workforce displacement, workplace monitoring, automated pricing and responsibility for harmful decisions will be examined as governance questions rather than unavoidable consequences of technological adoption. Participants will gain criteria for assessing proposed systems according to operational value, environmental performance, privacy, fairness and human oversight. They will learn to identify which decisions require human approval, what evidence should be available before procurement and how outcomes should be monitored after implementation. The webinar will also consider correction, appeal and responsibility when systems fail. Delegates will leave able to distinguish beneficial automation from unsupported corporate positioning and to establish governance arrangements that protect guests, employees and environmental commitments throughout the life of a technology investment. This supports responsible adoption throughout procurement, operation, review and eventual replacement.





