Inside the Data Bottleneck Slowing Visual and Physical AI

A survey of over 700 industry professionals highlights that visual and physical AI projects are frequently hampered by data-related challenges rather than modeling limitations. The report suggests that the effort required to curate, label, and manage training data remains a primary bottleneck preventing these systems from moving successfully into production environments.