Part II: Competing in the age of embodied AI (Analyst Angle) - RCR Wireless
The manufacturing-first model (Tesla): Optimus inverts the equation. By designing explicitly for manufacturability and reusing automotive supply chains (think motors, batteries, power electronics, and compute platforms adapted from vehicle production) Tesla...
Key takeaways
Tesla’s humanoid robot Optimus remains in development, with the company showcasing increasingly sophisticated hand prototypes but keeping the full V3 iteration under wraps. At the recent shareholder and all‑hands meetings, Elon Musk reiterated that Optimus is intended to out‑perform human labor by a factor of five, operate 24/7 and eventually enable a universal basic income, even claiming the robot could “eliminate poverty.” He also emphasized that the robot’s dexterous hand is a critical hurdle that Tesla believes only it can solve at scale. Tesla’s AI chief warned that 2026 will be the “hardest year” for staff as the firm pushes aggressive production targets, aiming to ramp up to an annualized output of one million Optimus units alongside its Robotaxi rollout. While the robot has performed public demos—handing out candy on Halloween and doing a brief Kung Fu routine with actor Jared Leto—it is not yet ready for
The manufacturing-first model (Tesla): Optimus inverts the equation. By designing explicitly for manufacturability and reusing automotive supply chains (think motors, batteries, power electronics, and compute platforms adapted from vehicle production) Tesla’s stated goal is a unit cost under $20,000, though this target remains unproven at scale. The robots are initially far less capable than Atlas, but the model is deployment-driven: iterate through volume production, improve through field The state-supported model (China): Dozens of startups (Unitree, Fourier Intelligence, UBTech) compete to build low-cost humanoids, leveraging Shenzhen’s dense manufacturing ecosystem for rapid hardware iteration. Local governments provide subsidies and guaranteed purchase orders to accelerate deployment, treating humanoid robotics as strategic industrial policy rather than purely market-driven development. The result: Western industrial robots often exhibit higher initial performance, but partially integrated Chinese firms can improve faster through deployment-driven learning. Over a ten-year horizon, the question is whether initial capability advantage or iteration speed matters more. The answer likely varies by application.
Arena 3: Humanoid robots (the next general-purpose platform)
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