The Automated Dispossession of Labor
The Actors: Architects of Automation Raquel Urtasun , CEO of Waabi: Championing 'autonomy' as the primary application for scaling AI in physical tasks, specifically targeting robo-taxis and self-driving trucks. Her assertions frame this as an inevitable market evolution. Skild AI and FieldAI leadership : These entities are receiving substantial capital to develop generalized AI and specialized
systems for 'dirty, dull, or dangerous' industries, respectively. Their corporate messaging emphasizes the replacement of human workers in sectors like energy, logistics, and infrastructure development. Yann LeCun , former chief AI scientist at Meta, now with AMI Labs: Advocating for 'world models' trained on simulated data, a cost-efficient method for accelerating robot intelligence without
extensive real-world data collection. This approach democratizes, and potentially accelerates, AI development beyond those with vast physical data resources. The Funding: Billions for Dispossession Waabi : Raised up to $1 billion (2026), targeting robo-taxis and autonomous trucking. This capital injection, potentially Canada’s largest for a startup, signals a major institutional belief in
labor-free logistics. Skild AI : Secured $1.4 billion (2026) at a $14 billion valuation, aiming to create a universal AI 'brain' for any robotic task. This valuation reflects investor confidence in a generalized, scalable solution for labor substitution across fragmented industries. FieldAI : Acquired nearly $400 million (2026) for specialized applications in sectors like energy and logistics.