Over 700 professionals detailed the specific data failures slowing physical AI production in a new IEEE Spectrum whitepaper. The survey identifies where model training stalls and why visual systems fail in real-world environments. These findings provide a benchmark for teams struggling with data curation. Practitioners can now target specific pipeline inefficiencies to accelerate deployment.