Embodied AI Companies Have Yet to Learn How to Spend Money | TMTpost In-depth
Embodied AI companies in China are facing unprecedented challenges in capital management after a wave of massive funding. The industry, seen as the ultimate carrier for AI, attracted approximately 43.8 billion RMB in the first half of 2026 alone, creating a landscape where even small startups hold billions in cash. However, this influx has exposed a critical gap: many founders—often scientists and engineers—lack experience in deploying such large sums effectively.
The article highlights contrasting and often problematic approaches to spending. Some companies practice extreme frugality, drastically limiting R&D, marketing, and even basic operational costs to extend their financial runway, sometimes resorting to living off investment income. This "wait-it-out" strategy, while conserving cash, risks stifling innovation, causing talent drain, and missing crucial product development windows. In one case, excessive cost-cutting led to catastrophic data loss.
Conversely, other firms spend recklessly. Examples include a company secretly paying 100 million RMB for ineffective TV exposure, jeopardizing its IPO plans, and others funding multiple unproven product lines simultaneously or creating deceptive demos to attract further investment. The cautionary tale of Vicarious Surgical, which burned through over $100 million on an overly complex proprietary arm before failing, is cited.
A core issue is the immense and often opaque cost structure. High salaries for scarce AI talent, exorbitant compute costs for training models (especially "embodied brains" or world models), and the colossal expense of acquiring high-quality robotic training data create financial black holes. Estimates suggest collecting 1 million hours of usable data could cost over 1.6 billion RMB, with most collected data being unusable.
This lack of transparency extends to investors, who struggle to verify how funds are actually spent. There are reports of companies maintaining separate internal accounts, engaging in circular "data trading" to artificially boost revenue, and general obfuscation around R&D burn rates. In response, some investors are taking unprecedented control, embedding their own financial personnel to approve even minor expenses.
The sector is at a crossroads. While capital continues to flow due to China's strategic advantage in supply chains and engineering, the fundamental question has shifted from securing funding to learning how to spend it wisely. The industry must now master the difficult discipline of allocating vast resources to drive genuine technological progress and sustainable business models, or risk a significant reckoning when the investment tide eventually recedes.
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