AI Resilience Report forLifeguards, Ski Patrol, and Other Recreational Protective Service Workers

Right now, AI is showing up as a helpful teammate for lifeguards and ski patrollers — not a replacement. In water parks, computer-vision systems watch pools alongside human guards. At Roaring Springs in Idaho, the Ellis Aquatic Vigilance System uses a network of high-resolution analytic cameras — including thermal imaging — to monitor pools, decks, and adjacent spaces with 360-degree coverage day and night, with 57 cameras delivering more than 100 unique visual perspectives.

Importantly, the addition of EAVS has not replaced lifeguards; rather, it adds a second layer of monitoring designed to complement human observation with real-time data and incident detection. Training is also getting an AI boost — Ellis & Associates just released an AI-supported eLearning course built from ^[1] real-time video footage of actual drowning incidents captured through advanced aquatic safety technology. On the slopes, ski patrol is testing similar augmentation.

At Palisades Tahoe, a Got-U app uses inertial sensors on patrollers' phones — like the accelerometer and gyroscope — to automatically detect if they've been caught in an avalanche or deep-snow submersion, then sends a loud, flashing alert to dispatch with the patroller's location. AI is even helping forecast danger before it happens — Utah's avalanche forecasters ^[2] are exploring AI tools to analyze satellite imagery for topography changes that may signal an imminent slide.

Adoption is being pushed hard by a real-world problem: not enough humans. The Association of Aquatic Professionals notes ^[3] that a lifeguard shortage is forcing many pools and beaches to curtail their hours, and big advances in artificial intelligence are helping address the situation. Avalanche centers report the same squeeze — staffing availability to analyze data is a challenge, and that is where artificial intelligence and machine learning can come in.

Adoption speed varies a lot by region, though. One vendor reported that AI drowning detection systems have been installed ^[4] in more than 120 pools in Australia in less than two years, with support from Royal Life Saving Australia, while public procurement cycles in other countries move slowly. Cost is another factor: installation of EAVS generally takes 30 to 45 days, including site assessment, IT and hardware integration, and customized staff training, which is a real investment for smaller pools and ski hills.

Socially, the tech is being marketed as "supplemental eyes," which helps acceptance — Got-U's cofounder stresses that they're not trying to displace avalanche beacons, but to augment the search and assist skiers in need. The bottom line for you: the lifesaving parts of this job — pulling someone from the water, doing CPR, making split-second calls in a whiteout — still need a calm, trained human. AI is becoming a powerful second pair of eyes, but you're still the one doing the rescue.