Autonomous vehicle startups are drawing renewed momentum, with artificial intelligence helping lower the barriers to building and deploying self-driving technology. Early-stage investor Trucks VC says it has received pitches from 81 new AV startups so far in 2026--about two-thirds more than last year and above the activity seen during the 2016-17 boom.
The shift is linked to foundation models that can adapt across different environments and situations. According to Trucks VC partner Puneeth Meruva, these models may make end-to-end autonomous systems more practical to develop. Open-source tools, including Nvidia's Alpamayo and Qwen's vision-language-action models, are also giving smaller teams a faster starting point.
Some startups are targeting construction, agriculture, mining and warehouse operations. Others are developing robotaxi services, with a focus on specific regions or routes rather than competing everywhere at once. Meruva said some teams are already deploying within months and with less than $1 million in funding.
Trucks VC expects more autonomous vehicle companies to seek investment next year. If AI continues to make the technology easier to build and tailor, a wider range of specialized operators could help bring self-driving services to more places and industries.
