Autonomy 2.0

Stifel IRIS is pleased to release “AUTONOMY 2.0: Commercial inflection & physical AI revolution,” a comprehensive investigation into the technological and structural transformation pushing the autonomous vehicle (AV) industry from a decade of experimentation toward scalable industrial and commercial deployment.

The autonomous sector is undergoing a fundamental shift, moving beyond isolated pilot programs into a phase of global commercial reality. Cumulative Level 5 driverless mileage has reached 536.3 million miles as of March 2026, with the “Big Three”, Waymo, WeRide, and Apollo Go, now accounting for over 99% of all recorded driverless operations. For years, the industry was constrained by the “better late but perfect” engineering mantra; that constraint is now breaking as unprecedented investment momentum, with AI startups attracting $192.7 billion in venture funding in 2025, pivots the market toward real-world deployment at scale.

This transformation is unfolding against the backdrop of a broader revolution in Physical AI, artificial intelligence designed to sense, reason, and act in the dynamic physical world in real time. As a result, the industry’s focus is shifting away from purely digital models toward systems capable of perceiving complex environments and making real-time decisions, positioning AVs at the center of the next frontier in AI development.

In Autonomy 2.0, we outline a strategic framework for the “AI-Defined Vehicle” (AIDV), a future where unified neural networks and “World Models” map sensor inputs directly to driving actions. The report examines the emergence of End-to-End (E2E) AI as a catalyst for 40–50% gross margins for early robotaxi operators within the next three to five years. At the same time, the hardware market is reaching an economic tipping point as solid-state LiDAR costs collapse toward the sub-$200 threshold, rendering high-redundancy sensor suites economically viable for mass-market platforms.

The paper also explores how the traditional automotive value chain is being unbundled, creating new strategic power centers among AI Driver developers, SDV infrastructure providers, and Robotaxi gatekeepers. Beyond the technology itself, the report highlights the decisive regulatory inflection of 2026, including the US SELF DRIVE Act and Europe’s shift toward industrial-scale series-production approvals. To explore these trends in greater depth, including our mapping of the L4 player landscape and the transition from distributed ECUs to zonal computing, download the full Autonomy 2.0 white paper.

Written by Paul de Froment and Mahaut Arnaud.