# How the NFL and AWS Are Using AI to Predict and Prevent Concussions

> Discover how the NFL's Digital Athlete simulation uses AWS machine learning and RFID sensors to predict player injuries and redesign football safety gear.

- Canonical URL: https://coreiten.com/en/article/how-the-nfl-and-aws-are-using-ai-to-predict-and-prevent-concussions
- Language: en
- Section: Tech Pedia
- Author: Sami
- Published: 2026-09-08T12:02:51+03:00
- Modified: 2026-09-08T12:02:51+03:00
- Publisher: CoreITen (https://coreiten.com)
- Keywords: NFL AWS Digital Athlete, machine learning in sports, RFID football sensors, Next Generation Stats, concussion prevention tech, AI injury prediction

## Summary

The NFL and Amazon Web Services are collaborating on a Digital Athlete simulation to predict and prevent player concussions.

- The NFL has utilized AWS for its Next Generation Stats platform since 2017 to scale up data collection.
- Radio frequency identification tags from Zebra Technologies are embedded into helmets, shoulder pads, and the game ball to track movement down to the inch.
- The NFL backed this technological push with a $60 million engineering roadmap to fund biomedical and bioengineering research.
- Researchers at the University of Virginia are simulating player impacts using modified crash-test mannequins to share data with helmet manufacturers.
- Altering kick-off rules based on analyzed injury patterns resulted in a 38% decrease in reported concussions compared to the previous three-year average.

**Why it matters:** This initiative transforms raw game data into actionable biomechanical insights that could eventually improve safety in other high-impact fields.

---

The National Football League (NFL) is deploying artificial intelligence and cloud computing to tackle one of its most critical challenges: player head injuries. Through an expanded partnership with Amazon Web Services (AWS), the league is building a "Digital Athlete" simulation designed to predict and prevent concussions before they happen. This initiative transforms raw game data into actionable biomechanical insights.

Since 2017, the NFL has utilized AWS for its [Next Generation Stats](https://aws.amazon.com/nfl) platform, but this data collection is now scaling up significantly. By embedding radio frequency identification (RFID) tags into players' shoulder pads, helmets, and the game ball - in collaboration with Zebra Technologies - the league tracks movement down to the inch. These sensors measure acceleration, field location, and the exact impact force a player absorbs during a collision.

### Building the Digital Athlete Simulation

The core of this safety initiative is the Digital Athlete, a computer simulation model that replicates infinite game scenarios. By applying Amazon's computer vision and machine learning algorithms to massive datasets, the software identifies hidden patterns in how injuries occur. The system processes variables like player position, equipment choice, playing surface, and environmental factors.

The expanded AWS partnership focuses on several key objectives to improve player safety:

- Automatically detecting when concussions happen using computer vision models.
- Identifying the specific biomechanical forces that cause traumatic brain injuries.
- Visualizing the exact factors at play during the moment of impact.
- Sharing data with equipment manufacturers to design safer gear.

### The $60 Million Engineering Roadmap

The NFL has backed this technological push with a $60 million "engineering roadmap" to fund biomedical and bioengineering research. As part of this initiative, the University of Virginia is currently simulating player impacts using modified crash-test mannequins. Researchers compile data from reported in-game concussions and share it with helmet manufacturers to develop novel protective designs.

This data-driven approach is already yielding tangible results on the field. After analyzing injury patterns and impact forces, the NFL altered its kick-off rules. This specific change resulted in a 38% decrease in reported concussions on kick-off plays compared to the previous three-year average, highlighting how analytics can directly influence game regulations.

### The Biomechanical Blueprint Beyond Football

The NFL's investment in the Digital Athlete is not just a sports safety measure; it is a massive, real-time experiment in human biomechanics. By processing thousands of data points per play through AWS, the league is creating a predictive model that could eventually be adapted for other high-impact environments, such as motorsports, construction, or military training. If the algorithm can accurately predict lower-body and head trauma based on velocity and angle, the resulting protective gear innovations will likely transcend the gridiron entirely.

## Sources

- [kurzweilai.net](https://www.thekurzweillibrary.com/digest-tech-teams-up-artificial-intelligence-for-football)