Figure's humanoid robots impress in demos, but years from replacing workers
In brief
- Figure posted May videos of humanoid robots cleaning rooms and sorting packages.
- Researchers say robots lack adaptability to replace humans in dynamic environments.
- Human workers outperformed Figure's robots in package-sorting demonstrations.
- Global factory robot demand has doubled over the past decade, led by warehouses.
- Mass robot adoption could improve work-life balance but faces significant barriers.
The demos and the reality gap
Figure posted videos in May showcasing its robots performing basic tasks, but the gap between demo performance and real-world deployment remains wide. In one May video, a human worker managed to sort more packages than a team of Figure's robots, which required recharging during the task. Figure CEO Brett Adock responded boldly, saying it would be the last time "a human will ever win."
The claim reflects confidence in the trajectory, but researchers urge caution. Oliver Obst, an associate professor of robotics at the University of New South Wales, noted that repetitive jobs in structured environments are most at risk. Yet he also emphasized that humanoid robots are unlikely to see mass rollout soon because they don't appear more efficient or less error-prone than current robotic manufacturing methods.
Where robots excel—and where they fail
Robots do excel at one thing: endurance in repetitive tasks. Markus Levin, co-founder of decentralized data network XYO, noted that AI models and automation software can perform repetitive tasks with greater consistency and endurance than humans. Dr. Francisco Cruz Naranjo, a senior lecturer at the University of New South Wales with a PhD in robotics, agreed—robots are much better at repetitive tasks without constant pauses.
But dynamic environments expose the weakness. In highly dynamic settings, robots still struggle to quickly adapt to changing conditions. This limitation cuts deep into real-world applicability, where most jobs involve some degree of unpredictability.
The barriers to mass deployment
Global demand for factory robots has doubled over the last decade, with warehouses and logistics among the fastest-growing areas of adoption. Yet broader human replacement remains a distant prospect. Robots still require charging, maintenance, and supervision, adding hidden costs.
Levin put it plainly: broad human replacement is likely still years away due to reliability, safety, regulation, infrastructure costs, and trust barriers. The economic calculus doesn't yet favor wholesale replacement.
The labor displacement question
US companies laid off an estimated 49,135 people in 2026 due to AI, according to a May report from workforce consulting firm Challenger, Gray and Christmas. That figure signals real disruption already underway, even if mass robot replacement hasn't arrived.
Researchers see potential upside. Naranjo and Obst noted that a mass rollout of robots could improve work-life balance, increase the workforce in areas with shortages, and address dangerous environments too risky for humans. Repetitive jobs performed in less static settings are at risk, but replacement will depend on how quickly research advances and how quickly society adapts.
