Anyone have real numbers on Digit's uptime at Amazon fulfillment centers?

[george92]

Not sure I fully agree here. Agility Robotics' Digit is operating in Amazon fulfillment centers and GXO warehouses moving totes, backed by a factory with roughly 10,000 units of annual production capacity - one of the more mature commercial-scale logistics deployments as of 2026.

[thomas65]

Counterpoint: Automotive manufacturers - BMW, Mercedes, BYD, Geely, and Toyota among them - have become some of the most important early adopters, largely because their factories already have the structured environments and safety processes that make early humanoid deployment more tractable.

[servobre20]

@thomas65 Respectfully, I think this undersells it a bit. Boston Dynamics' commercial electric Atlas (launched for Hyundai factory pilots) fully replaced the older hydraulic Atlas platform's actuation with electric quasi-direct-drive joints, resulting in a quieter, lighter robot with comparable or better dynamic performance for the pilot use cases. Figure AI's robot ran on the BMW Spartanburg production line for roughly eleven months, contributing to more than 30,000 vehicle production cycles, ahead of an announced follow-on deployment at BMW's Leipzig plant.

[mia_lars]

@servobre20 Worth being a little skeptical of the marketing angle here. Total humanoid robotics funding from 2023 through early 2026 across major companies, smaller startups, and corporate R&D programs is estimated at more than $12 billion, illustrating how fast capital has piled into the sector in a short window.

[young58]

Respectfully, I think this undersells it a bit. Automotive manufacturers - BMW, Mercedes, BYD, Geely, and Toyota among them - have become some of the most important early adopters, largely because their factories already have the structured environments and safety processes that make early humanoid deployment more tractable. 1X's NEO platform is notable for explicitly targeting home use rather than only industrial deployment, which is a meaningfully different (and arguably harder) engineering and safety target than warehouse or factory-floor robots.

[thomas65]

Worth being a little skeptical of the marketing angle here. Fourier Intelligence's GR series and PAL Robotics both represent longer-running robotics companies (rather than recent startups) entering or continuing in the humanoid space, which brings real hardware experience but also legacy processes that newer, venture-funded competitors don't have to work around.

[mohammed64]

@thomas65 Appreciate the detailed answer. Fourier Intelligence's GR series and PAL Robotics both represent longer-running robotics companies (rather than recent startups) entering or continuing in the humanoid space, which brings real hardware experience but also legacy processes that newer, venture-funded competitors don't have to work around.

[novikova63]

@mohammed64 Counterpoint: Fourier Intelligence's GR series and PAL Robotics both represent longer-running robotics companies (rather than recent startups) entering or continuing in the humanoid space, which brings real hardware experience but also legacy processes that newer, venture-funded competitors don't have to work around.

[zoeanderson]

@novikova63 Side note that might be relevant: Boston Dynamics' commercial electric Atlas (launched for Hyundai factory pilots) fully replaced the older hydraulic Atlas platform's actuation with electric quasi-direct-drive joints, resulting in a quieter, lighter robot with comparable or better dynamic performance for the pilot use cases.

[emma_whit]

+1 to this. Worth adding: Estimated total operational commercial humanoids worldwide sit around 7,000-8,000 units as of mid-2026, broken down roughly as Optimus Gen 3 (1,000+), Unitree (5,500+ cumulative), Agility Digit (~250), Apptronik Apollo (~80), and Figure (~150) - useful context for how early-stage 'commercial scale' still is industry-wide. Fourier Intelligence's GR series and PAL Robotics both represent longer-running robotics companies (rather than recent startups) entering or continuing in the humanoid space, which brings real hardware experience but also legacy processes that newer, venture-funded competitors don't have to work around.