1X offers its robot for $20,000 to buy or $499/month to lease. Given the rapid pace of robotics development, leasing is the default choice for consumers. It avoids the risk of owning an expensive, quickly outdated piece of hardware, ensuring access to future upgrades.
The 1X robot's teleoperation, often seen as a sign of immaturity, is actually a key feature. It allows for both a "human-in-the-loop" expert service for complex tasks and personal remote control, like checking on a pet, creating immediate utility beyond full autonomy.
To overcome resistance from conservative real estate owners, Metropolis leased its first locations. This allowed them to deploy their technology, gather performance data, and prove the model's value on their own dime, removing the risk for potential partners.
Contrary to the belief that hardware is inherently capital-intensive, Monumental's founder argues their biggest expense is salaries for high-quality talent, much like a software startup. The cost of the robots is manageable and their payback time is good, challenging typical VC perceptions of the business model.
Unlike human employees, who are an expense, humanoid robots are assets. This allows companies to capitalize their labor force for the first time, turning an operational expense into a depreciable, value-generating asset on the balance sheet. Each million robots could add a trillion dollars in market capitalization based on their profit-generating potential.
With a key government subsidy gone, Tesla is using a rental model as a 'try-before-you-buy' tactic. This shift indicates EV companies must now rely on creative sales funnels and direct product experience, rather than financial incentives, to convert hesitant customers.
For consumer robotics, the biggest bottleneck is real-world data. By aggressively cutting costs to make robots affordable, companies can deploy more units faster. This generates a massive data advantage, creating a feedback loop that improves the product and widens the competitive moat.
Leading robotics companies are taking different paths to market. Boston Dynamics targets industrial use cases (e.g., DHL, BP). In contrast, both Figure AI and 1X are now focused on the home, but 1X is moving more aggressively by accepting consumer pre-orders first.
The first home humanoid robot, Nio, requires frequent human remote intervention to function. The company frames this not as a flaw but a "social contract," where early adopters pay $20,000 to actively participate in the robot's AI training. This reframes a product's limitations into a co-development feature.
The trope that renting is 'throwing away money' is flawed. Rent is a payment for valuable, non-financial assets like location flexibility, freedom from ownership costs (taxes, repairs), and the option to invest capital elsewhere—potentially in higher-return, more diversified assets like the stock market.
For tools requiring a new workflow, like Factory's AI agents, seat-based pricing creates friction. A usage-based model lowers the initial adoption barrier, allowing developers to try it once. This 'first try' is critical, as data shows an 85% retention rate after just one use.