Over 700 professionals detailed the specific data failures slowing visual and physical AI production in a new IEEE Spectrum survey. Teams struggle with data curation and model reliability in real-world environments. This whitepaper identifies where manual data work stalls deployment. Practitioners can use these findings to optimize their training pipelines and reduce production errors.