Tesla

Agentic Economy Layer
Layer 1: Agents as Tesla

Tesla is an electric vehicle manufacturer, energy company, and increasingly, an AI and robotics company. Under CEO Elon Musk, Tesla has built one of the world's largest real-world AI training datasets through its fleet of vehicles, and is developing Full Self-Driving (FSD) autonomous technology and the Optimus humanoid robot — positioning itself at the intersection of AI, physical infrastructure, and the emerging age of machine societies.

Full Self-Driving and Embodied AI

Tesla's Full Self-Driving system represents one of the most ambitious attempts to create embodied AI that operates in the physical world. The vision-based approach — using cameras rather than LiDAR — relies on massive neural networks trained on billions of miles of real-world driving data collected from Tesla's fleet. FSD is essentially a real-world reinforcement learning system where the environment is Earth's road network. Tesla's planned robotaxi service would make FSD one of the first large-scale deployments of autonomous AI agents in the physical world.

Dojo and AI Infrastructure

Tesla's Dojo supercomputer, built on custom D1 chips, is designed specifically for training neural networks on video data. Combined with the company's growing cluster of NVIDIA GPUs, Tesla is building AI training infrastructure comparable to dedicated AI companies — infrastructure that could eventually be offered as a service, entering the compute capital markets.

Optimus: Humanoid Robotics

Tesla's Optimus (Tesla Bot) humanoid robot project aims to create a general-purpose humanoid that can perform physical tasks in unstructured environments. If successful, Optimus represents the physical-world analog of digital AI agents — embodied machines that can observe, plan, and act in the real world. This is the ultimate expression of the agentic paradigm extending beyond software into physical infrastructure.