Digit v5 at About $200K: Agility Reveals Its Humanoid Cost Model

Agility Robotics' public Form S-4 provides an illustrative Digit v5 cost model: about $200,000 for the robot under an ownership model and an alternative Robots-as-a-Service structure.

What happened

• Ownership model: about $200,000 for Digit v5 plus an approximately $20,000 one-time deployment fee.
• Arc software and maintenance under ownership: about $36,000 per year.
• Using Agility's five-year useful-life assumption, total illustrative payments are about $400,000.
• RaaS model: about $8,500 per month plus an approximately $25,000 deployment fee, or about $535,000 over five years.
• Agility says these are illustrative modeling assumptions; actual customer contracts remain subject to negotiation.

What is confirmed and what remains a company claim

This is not a public MSRP or a guaranteed commercial quotation. The filing uses the figures for prospective unit-economics modeling. The five-year period is an accounting/modeling assumption, not a claim that the robot stops working after five years.

Why it matters

For Europe, the disclosure provides a rare comparable benchmark for the total economics of an industrial humanoid and helps buyers compare humanoids with conventional automation and AMRs.

What we are watching next

RoboMorrow will treat the next development as material only if it changes the editorial assessment: regular commercial launch, a new price, a new market, a major customer contract, operating results, a regulatory change or a verified change in deployment scale. A later article from another secondary outlet alone will not become a separate story.

Editorial decision: UPDATE the existing Agility S-4 owner article and Digit database profile; do not create a separate URL.

Market context

In robotics and autonomous mobility, the useful distinction is increasingly between a demonstration and commercialization. The important evidence here is therefore contract economics, formal permits, real-world deployment and measurable operating conditions. This is not a RoboMorrow hands-on review and no product score is assigned without physical testing.

How to read the ownership model: hardware is only the starting point

The most useful part of Agility's disclosure is not the roughly $200,000 robot figure by itself but the way costs are separated. Hardware is only the entry point. There is a one-time deployment charge, Arc software and ongoing maintenance. A factory also has its own site-preparation, integration, training, safety, spare-parts, downtime and process-change costs. A simple humanoid ranking based on headline hardware price would therefore be misleading.

Agility's five-year illustration does provide a useful TCO benchmark. Roughly $400,000 of modeled payments under ownership equals around $80,000 per year before some customer-side costs. That is still not the cost of one productive Digit hour, but it creates a foundation for comparison with labor, conventional industrial robots, AMRs or a redesigned production cell.

RaaS costs more nominally but changes the risk profile

The approximately $8,500 monthly RaaS structure plus deployment adds up to a higher nominal five-year payment than ownership. That does not automatically make it worse. A customer may value lower upfront capital, predictable operating expenditure, a different maintenance responsibility split and the ability to start without buying a long-lived asset. The commercial answer depends on SLA terms, guaranteed availability, service scope and who carries the cost of unplanned downtime.

That distinction matters in an immature humanoid market. Buyers of conventional industrial robots can use decades of lifecycle and service data. A humanoid platform, its software stack and its supported tasks may evolve much faster. RaaS can therefore be a way for some customers to transfer part of the technology risk from a capital purchase into a service contract.

The real metric is cost per productive hour

A five-year total does not tell us whether Digit is economically attractive. Utilization is critical. A robot performing useful work for sixteen hours a day at high availability has completely different economics from a system used for a few hours on one shift. Buyers need task throughput, productive-time share, human-intervention frequency, technical availability and process-change costs.

This is why deployment data will eventually matter more than demonstrations. If Agility publishes median uptime, productivity for defined workflows and fleet-support cost, the market can move from an illustrative financial model toward a real cost per completed task. That would be substantially more useful than another video of a robot moving totes.

What it means for comparisons with other humanoids

Comparing humanoids only by hardware price is risky because vendors sell different levels of readiness and different service scopes. A cheaper platform may require more customer integration, teleoperation or in-house software. A more expensive contract may include support, monitoring and fleet tools. RoboMorrow should therefore separate hardware price, deployment fee, software, maintenance and RaaS terms whenever possible.

Agility's disclosure provides a useful editorial template. For future humanoids, the important numbers are not just MSRP but multi-year TCO, service obligations and productive operating data. The next meaningful update should be a real customer contract, a large fleet deployment or operating evidence rather than another media article repackaging the same Form S-4 assumptions.