  We discuss and predict the evolution of Simultaneous Localisation and Mapping
(SLAM) into a general geometric and semantic `Spatial AI' perception capability
for intelligent embodied devices. A big gap remains between the visual
perception performance that devices such as augmented reality eyewear or
comsumer robots will require and what is possible within the constraints
imposed by real products. Co-design of algorithms, processors and sensors will
be needed. We explore the computational structure of current and future Spatial
AI algorithms and consider this within the landscape of ongoing hardware
developments.
