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Agility Robotics — AI supply-chain exposure

Agility Robotics · Private· Applications· United States
The quick read

The model reads Agility Robotics primarily as a producer in Applications. Its most binding exposure is GPU (system bottleneck #2), which it consumes rather than makes — a price-taking dependency. Its largest modeled sensitivity is a shock at GPU (constraint β 42).

47
Chain weight /100
2
Parts exposed
2
Layers spanned
42
Constraint β
Agility Robotics across the stack
ApplicationsChips

The structural read · model-generated

The model reads Agility Robotics primarily as a producer in Applications. Its most binding exposure is GPU (system bottleneck #2), which it consumes rather than makes — a price-taking dependency. Its largest modeled sensitivity is a shock at GPU (constraint β 42).

In depth · editorial + model · written 2026-07-13

Agility Robotics builds Digit, a bipedal humanoid aimed squarely at warehouse logistics — moving totes and bins in the kind of repetitive material-handling work that is hard to automate with fixed machinery. What sets it apart is RoboFab, a factory purpose-built to manufacture humanoids at volume. In THE ENTITY's map it sits in the applications layer as a producer of robotics control and an integrator of the GPUs that run its perception and motion policies.

Its structural hook is the move from prototype to production. By committing to a dedicated humanoid factory and a concrete first use case, Agility is betting that embodiment becomes a deployed labour tool rather than a demo — which pulls through demand for compute, sensors and actuators. Like other robot builders it consumes the AI chain rather than supplying a scarce input, so the model places it downstream: real exposure to the humanoid thesis, without pricing power over the parts upstream.

Where it has leverage

Chain footprint by layer

Applications
62%
Chips
38%

How it participates

Producer
62%
Integrator
38%

Every part Agility Robotics touches

Critical materials it leans on

Rare-earth magnets (NdFeB)ABF Substrate (Ajinomoto Build-up Film)High-purity quartzPhotoresistTantalum

Geographic concentration

Taiwan StraitUnited States

Frequently asked

What is Agility Robotics's role in the AI supply chain?

The model reads Agility Robotics primarily as a producer in Applications. Its most binding exposure is GPU (system bottleneck #2), which it consumes rather than makes — a price-taking dependency. Its largest modeled sensitivity is a shock at GPU (constraint β 42).

Which parts of the AI value chain is Agility Robotics exposed to?

Agility Robotics is mapped to 2 parts of the AI value chain, most strongly Robotics control, GPU. It sits primarily in the Applications layer as a producer.

Does Agility Robotics own an AI bottleneck?

Not in the current model — Agility Robotics is exposed to constrained parts but sits downstream of them rather than producing them.

What is Agility Robotics's biggest AI supply-chain risk?

Its largest modeled sensitivity is a shock at GPU (constraint β 42). 4 nodes depend on it; pressure 78/100

Who are Agility Robotics's closest peers by AI-chain position?

By shared chain dependencies: Unitree Robotics, Boston Dynamics, Deere & Company, Northrop Grumman Corporation.

Go live on Agility Robotics

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model v0.7.0 · research, not advice

Chain analytics are illustrative, order-of-magnitude estimates from our model of the AI value chain — not investment advice.

as of 2026-07-17Medium confidence model v0.7.0
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