This summer, U.S. amusement parks will lean on artificial intelligence to slash wait times, boost guest engagement, and roll out next-level attractions.

How Legoland Will Keep Rides Rolling

Legoland will deploy vision AI cameras to track ride usage live, spotting slowdowns the moment they happen. Park staff will receive instant alerts—sending extra operators or adjusting ride capacity—to prevent backups before they start. This dynamic oversight ensures every roller coaster and water slide keeps spinning smoothly.

SeaWorld’s Arctic Expedition and Smart Queues

SeaWorld’s Expedition Odyssey ride will blend real Arctic footage with AI-powered crowd controls. As guests line up for Penguin Trek or Phoenix Rising, machine-learning algorithms will predict peak load times and suggest staggered entry windows. Meanwhile, rotating tower systems will ferry riders in continuous loops, eliminating bottlenecks at boarding points.

Disney’s Next-Gen Robotic Characters

Disney is gearing up to introduce robotic cast members powered by a new physics engine developed with Nvidia and Google DeepMind. By 2026, lifelike droids will roam parks like Star Wars: Galaxy’s Edge—responding to guests’ questions, recognizing faces, and even adapting their behavior based on crowd emotions. This AI infusion will create interactive meet-and-greets that feel as real as the characters themselves.

3D Scanning, AR, and Immersive Rides

Across parks, 3D scanners will automate ride maintenance—pinpointing wear on tracks or animatronic joints before failures occur. Augmented reality features will debut in attractions like Legoland’s Ninjago and SeaWorld’s Penguin Trek, overlaying digital effects on real environments for a fully immersive journey. These AI-driven enhancements will keep guests engaged from the moment they walk through the gates.

Industry Hurdles and Big Expansions

Despite AI’s promise, U.S. parks face headwinds from tariffs that dent imported ride parts and discourage Canadian tourism. Still, major expansions loom: Universal will open Epic Universe in Orlando, packing in AR-enhanced rides and next-gen animatronics, while Disney plans a new park in Abu Dhabi—both underpinned by advanced AI operations.

Frequently Asked Questions (FAQs)

Q1: How exactly will AI reduce wait times?
A1: By using real-time vision AI to monitor ride queues and predict surges before they form, park operators can redistribute capacity, adjust staffing, and optimize entry windows—preventing long lines rather than reacting to them.

Q2: Are guests ready for robotic characters in parks?
A2: Yes. Disney’s advances with Nvidia and DeepMind have produced robots capable of natural gestures, contextual conversations, and emotional responses, making them feel like genuine cast members rather than preprogrammed machines.

Q3: Will smaller parks be able to adopt this technology?
A3: Scaling AI tools—like 3D scanners and basic AR overlays—will become more affordable by 2026, enabling mid-sized parks to collect data on ride usage and offer modest immersive features without massive capital outlays.

Comparison: Theme Parks vs. AI Supercomputer Infrastructure

While parks harness AI to improve guest flow and entertainment, other sectors are building AI superchargers—like DOE’s Doudna supercomputer—to power massive scientific discoveries. Both investments highlight a shared need for real-time data processing: parks use AI to optimize human traffic, whereas supercomputers run complex models in genomics and climate science. In each case, AI’s ability to sift through vast streams of information in seconds is key—whether steering visitors through rides or decoding biological mysteries.

Sources Business Insider