🧠 Food for thought

Implications, context, and why it matters.

The fund’s name signals a bet on physical AI

• “Zero Shot” refers to AI models that can do tasks without task-specific training, an idea now extending from software into the physical world 1.
• Foundational models now help robots deal with unfamiliar objects and new commands, which venture capitalists call “physical AI” 1.
• Commercial efforts are underway; manufacturing platform Vention uses the phrase “Zero-Shot Automation,” raised $110 million, and listed investors including NVentures (Nvidia’s venture capital arm) 2.
• Venture firms are also funding “machine-centric” startups that blend hardware with software to automate complex hands-on work, a theme for deep-tech investors like Bee Partners (a venture capital firm focused on emerging technologies) 3.

Top AI talent is moving toward hard real-world problems

• Zero Shot, launched by former OpenAI engineers, signals a shift from building foundational models to using them in physical systems like robots and drones 1.
• Pure software AI is crowded, with more than 1,400 startups funded by Y Combinator alone, while physical products can build stronger moats through proprietary data plus hardware 4.
• Moving from “bits to atoms” calls for different business models, including Robotics-as-a-Service (RaaS), which can reduce high upfront customer costs tied to hardware 1.
• Progress here could speed up automation in capital-intensive fields like construction and manufacturing, which startups such as Buildroid.ai (an AI robotics startup focused on construction automation) are already targeting 5.