National Football League
5 documented AI deployments at National Football League, across 1 industry. Each one links to the public source it was taken from.
Public AI record
National Football League has a public AI record score of 57, where 50 is typical for companies on the hub. It is ahead of 88% of companies on evidence, but behind most on depth.
- BreadthHow many different kinds of use case, across how many business areas81
- DepthShare running in production or at scale rather than pilots14
- SophisticationAgentic share and innovativeness rating20
- EvidenceShare backed by the company's own sources and measured results88
- MomentumHow recent the cases are; older cases count less82
How the score works
First documented case Dec 2019, latest Jun 2026. Cloud providers named: AWS, Microsoft.
Deployments
5 deployments at National Football League, newest first.
- 9 Jun 2026OtherUnited States
NFL game day transformation with Surface Copilot+ PCs and AI-powered Sideline Viewing System (SVS)
National Football League · Decision support · Microsoft
The National Football League updated its Sideline Viewing System for all NFL clubs, using Surface Copilot+ PCs to give coaches and players real-time, AI-powered tools during game day. The system helps analyze plays, identify formations, and turn complex data into faster, more actionable insights on the sidelines and in the coaches' booth.
Production
- 23 May 2026OtherUnited States
NFL uses Microsoft Copilot and Azure AI Foundry (Azure OpenAI in Foundry Models) to accelerate scouting and post-game analysis
National Football League · Investment research · Microsoft
The National Football League (NFL) uses Microsoft solutions to help clubs optimize post-game data analysis, practice time, and offseason player evaluations. Club personnel use Microsoft 365 Copilot to access critical data instantly, improve prospect evaluations, and support draft preparation. At the NFL Combine, clubs use Microsoft Copilot to access real-time insights, compare top prospects instantly, and make faster decisions for football operations.
Exploring
- 11 Jan 2026OtherUnited States
Advancing Player Health and Safety with the Digital Athlete
National Football League · Clinical analytics · AWS
The NFL uses the Digital Athlete as an injury prediction tool that leverages data and artificial intelligence to help clubs keep players healthy and performing at their best. All 32 clubs have access to the Digital Athlete team portal, which provides daily training volume and injury risk information, as well as league-wide trends and benchmarks. The system has also been used to inform rule changes, including the Dynamic Kickoff, by simulating 10,000 seasons' worth of games under the new rule.
10KSimulated seasons for Dynamic Kickoff analysis - 1 Feb 2024OtherUnited States
Building a digital athlete: Using AI to rewrite the playbook on NFL player safety
National Football League · Predictive decision support · AWS
The NFL and AWS built the Digital Athlete to improve player health and safety by combining game, practice, tracking, video, and sensor data. The system uses AI and machine learning to create a complete view of player experience, run millions of simulations, identify injury risk, and support personalized injury prevention, training, and recovery. The platform uses synchronized 38-camera 5K 60fps capture and computer vision to generate 3D pose estimation and virtual skeletons for movement analysis. It processes millions of video frames and hundreds of millions of player position data points weekly, and is used across all 32 NFL clubs.
>500Mdata points/week · Practice tracking data processed per week - 5 Dec 2019OtherUnited States
NFL and AWS Partnership to Enhance Player Health and Safety with AI and Machine Learning
National Football League · Livestock monitoring · AWS
The NFL partnered with AWS to develop the "Digital Athlete" platform, using AI, machine learning, and computer vision to analyze player health and safety data and predict injury risk. AWS technologies such as Amazon SageMaker, Amazon Rekognition, and AWS AI/ML services were applied to model game scenarios and concussion-causing forces. The collaboration involves leveraging historical and real-time player data, video feeds, and environmental factors to improve injury treatment, prevention, and rehabilitation. Advanced computer vision models were developed to detect concussions, and the partnership expanded the NFL's use of AWS for real-time NFL Next Gen Stats data analysis.
What it builds
Clinical analytics is the most common pattern in these deployments: 1.
Cloud providers named
AWS is named in 3 of these deployments.
- AWS60% of these3
- Microsoft40% of these2