Intel and Alibaba announce they are developing a 3D athlete tracking tech using Intel hardware and Alibaba's AI, as a training tool for the 2020 Olympics
Alibaba Group Holding Ltd. is working with Intel Corp. on a new “athlete tracking technology” powered by artificial intelligence …
Context & Ripple Effects
This announcement lands mid-arc for both companies. Intel has been pushing its RealSense depth-sensing hardware beyond PCs since its augmented-reality headset project built on RealSense 3D cameras, and the Olympics gives that sensor stack a stadium-scale stage. Alibaba, meanwhile, had just committed to custom silicon — the Ali-NPU neural network chip effort alongside its C-SKY acquisition and a stated plan to launch a first AI chip by late 2019 — so supplying the AI layer here is an early public test of that roadmap.
The pairing matters because each side covers the other's gap: Intel contributes the capture hardware, Alibaba the models, and neither has to buy the other half of the stack. It also prefigures how both firms would later reuse these playbooks — Intel taking its AI tooling into medicine with the Penn Medicine federated-learning brain tumor classifier, Alibaba shipping the Hanguang 800 months after this deal was struck.
First-order effects
- Alibaba's AI group gets a live, globally visible deployment outside e-commerce search and recommendations — exactly the internal-use profile its Hanguang 800 chip was later confined to — validating its models on third-party sensor data.
- Intel gains a flagship Chinese-market reference customer for its sensing hardware at a moment when its RealSense line needed non-PC applications to justify continued investment.
Second-order effects
- A successful Olympic rollout hands Alibaba's nascent chip subsidiary a showcase argument for selling customized AI silicon to cloud and IoT customers rather than keeping it in-house.
- Sports federations, broadcasters, and training academies watching Tokyo become addressable buyers for athlete-tracking systems, pulling sensor-and-model vendors into a new vertical pricing conversation.
Third-order effects
- If the pattern holds, mega-events function as procurement accelerators for AI hardware: national teams and Olympic committees standardize on vendor stacks, and US-China partnerships like this one become templates even as each side builds independent silicon — a tension Alibaba's later domestically manufactured inference chip makes explicit.
- Vertical AI systems (hardware + models sold as one training product) harden into a distinct category between device makers and cloud providers, forcing both to decide whether to partner across borders or replicate the stack internally.
The trend: Global tech firms are using Olympic-scale events as proving grounds to pair their own AI software with their own silicon and sensors, turning sports into a reference-customer channel for vertically integrated AI stacks.