Winning Strategies in Physical AI
The hosts:
What is this Ripple about?
A working session for physical-AI founders and investors to pressure-test what the winning company-building strategies actually are — horizontal vs. vertical platforms, custom vs. commodity hardware, and broad vs. narrowly focused robots and models.
Why this topic timely or urgent in 2026
Mega-rounds into horizontal robot foundation models (Skild AI, Physical Intelligence) have set the narrative that generalist platforms will eat every vertical. Meanwhile, the companies delivering measurable real-world outcomes — AMP and Glacier in recycling, Carbon Robotics in ag, Gecko in inspection — are vertical, narrowly focused, and own their workflows end to end. 2026 is the year deployment results start contradicting the funding narrative, and capital allocators — especially in Europe, which can't outspend the US and China on foundation models — have to decide which strategies to back. Entrepreneurs face the same forks in real time: platform or vertical, build or buy hardware, chase the big market or the strong pull.
Key questions or challenges being explored
Horizontal vs. vertical: do vertical physical-AI companies structurally outperform generalist platforms on trust, cost, speed, and throughput — or are they just earlier to revenue? What happens to vertical moats when a generalist foundation model gets "good enough"?
Custom vs. commodity hardware: when does owning the hardware stack create real defensibility, and when is it a capital trap?
Picking the market segment: should founders optimize for strong market pull over market size — and how narrow is too narrow for a robot or AI model?
The key tension or debate at the heart of this discussion
Who would get the most value from attending this Ripple?
Pre-seed to Series A investors actively deploying into physical AI and robotics; family offices with an interest in physical AI; and founders building physical-AI companies (robotics, embodied AI, automation) from pre-seed through Series B who are facing these strategy forks now.