Will robots take warehouse picker jobs?

Threat timeline: Already happening at GXO and now Toyota Canada. 1-2 years for replication at the next tier of 3PL operators (DHL, Kenco, CEVA — the same crowd already using Locus AMRs). 2-4 years for broader logistics and light-manufacturing adoption once ISO safety certification clears explicit human-side-by-side work. The interesting question isn't whether Digit displaces warehouse pickers — it's whether Digit-class humanoids displace the *AMR* category (which already displaced human-only picking) by handling the tote-on-tote-off step that AMRs can't, and whether Toyota proving the auto-manufacturing use case opens the same door at every other OEM.

Threat timeline: Already deployed at scale. AutoStore is the architecture replacing entire conventional storage-and-picking warehouses, not augmenting them. 1-3 years for the next wave of large retailers and 3PLs that haven't built yet. 3-5 years for the long tail of mid-sized operators as Pio (the SMB variant) lowers the floor. The thing being replaced isn't a job — it's an entire warehouse layout, and with it the entire labor structure of that layout.

Threat timeline: 1-2 years for automotive assembly line tasks where the BMW playbook can be replicated. 2-4 years for broader light-industrial deployment. The economics work at scale when one Figure runs 10-hour shifts replacing a wage that compounds — automotive is the natural first market because the integrator cost is amortized across high-volume production lines.

Threat timeline: Already happening. The 2-3x productivity multiplier doesn't always mean fewer pickers in the short term — it often means the same headcount handles more volume during peak. But the longer-term effect is the rate of new picker hires falling, especially for the contract 3PL roles that are the entry point into warehouse work. Next 1-3 years: continued displacement of picker-hours, particularly for seasonal hiring. 3-5 years: as Locus Array (the fully autonomous Robots-to-Goods system) scales, pick labor in the largest facilities goes from 'augmented by robots' to 'mostly absent'.

Threat timeline: 3-5 years. RB-Y1 is a development platform, not a finished worker — today's buyers are labs, not factories. The variable is Samsung: once the consolidated manufacturing and distribution muscle engages, light-assembly and machine-tending applications built on this platform can scale faster than any independent startup's path. The wheeled base skips bipedal locomotion's hardest problems, which may pull deployment earlier, not later.

Threat timeline: 1-3 years for greenfield warehouse picking and light assembly, where the environment can be designed around the robot. 3-5 years for retrofit deployments in existing facilities. Generalized household work is further out and is not where the labor displacement happens at scale anyway.