FlyPig AI Insights · Canada

Research for understanding markets—not manufacturing authority.

Evidence-led analysis of Canada's Physical AI ecosystem, deployment readiness, market structure and technology-selection questions. Insights support FlyPig AI's design-intelligence work and the Canada Physical AI Atlas.

Research series · New

Physical AI Goes Modular.

A six-part investigation into the coming Android moment of robotics: reference robot hardware, Physical AI operating layers, edge compute, Chinese platform supply chains, reusable robot skills and where value moves as the stack standardizes.

Series 01

Physical AI Goes Modular: The Coming Android Moment of Robotics

What happens when robot bodies, compute, middleware and physical skills become reusable building blocks—and which layers remain defensible?

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Technology forecast · October 2026

Physical AI’s next decade.

A new outlook extending the six-part series: how shared capabilities and continuous learning could shape robotics platforms, and which evidence could overturn the forecast.

2026–2036 outlook

Physical AI’s Next Decade: The Real Android May Not Be an Operating System

FlyPig AI’s forecast for a layered robotics ecosystem: shared capabilities, learning lifecycles and the evidence needed to test the Android analogy.

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Opening thesis

Canada doesn't only need more robot products.

The more urgent gap is the layer that can assess real work, select suitable technologies, connect them to local systems, manage risk and keep deployments operating after the demonstration ends.

Essay 01

Canada Doesn't Need Another Robot Company. It Needs Physical AI Integrators.

Why the next opportunity is not simply building or importing robots—but turning machines, edge intelligence and human workflows into reliable operations.

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