Finally, it seems clear that robotic labs and AI both will play an important part in the future of materials discovery and solid state chemistry. At this current time, we see two important bottlenecks hindering high-throughput materials discovery. The first is issues with the prediction of new materials, where tensions between high-throughput and highquality calculations remain unresolved. The other bottleneck is sample analysis. To predict and produce many samples autonomously is impressive, but if the rate determining step is human-operated analysis, the AI enabled robotic lab may not move faster than a traditional one. Important steps towards unsupervised analysis have been made, but in our view, truly autonomous materials analysis remains a target for future work, or a better developed human-machine interface might drastically help to speed up the process. We hope this comment outlines some of the pitfalls and will help to strengthen this aspect in the future.