Available evidence by November 30, 2025 does not clearly confirm or falsify Friedberg’s prediction.

• The precise scenario hasn’t really happened yet. Apple Vision Pro only launched in 2024 and, while Apple and partners highlight enterprise use cases (training, remote fieldwork, digital twins, industrial visualization), there is no public documentation of it being deployed in the specific greenhouse or lab‑technician workflows Friedberg described (QR codes on plants, task lists, in‑situ data capture) at scale, let alone with measured productivity multipliers. (apple.com)
• Closest real-world analogs (non‑Apple smart glasses in agriculture/livestock) are still pilot‑level and mostly qualitative. Multiple studies and trials show that AR smart glasses can support QR‑code based data access, remote assistance, and hands‑free operation in farms and livestock settings, including detailed measurements of QR scanning performance. These papers and evaluations conclude that smart glasses are promising for improving workflow efficiency, but they do not report anything like a 10× increase in overall worker productivity versus phone‑ or paper‑based systems. (mdpi.com)
• Greenhouse-focused pilots exist but lack quantified 10× gains. Smart-glasses projects in greenhouses (e.g., Tokyo tomato greenhouses using 5G + smart eyewear, and smart glasses assisting cluster‑tomato harvesting by assessing ripeness) report that the devices make tasks easier or support operation with fewer or less‑experienced workers, but public write‑ups do not quantify a roughly 10× per‑worker productivity improvement versus previous phone/scanner/printer workflows. (natureworldnews.com)
• General XR/AVP productivity research is still early and mixed. Broader XR and Apple Vision Pro studies in professional contexts suggest some productivity and usability benefits, but also emphasize limited app ecosystems, integration friction with existing workflows, and user comfort constraints. These findings indicate that the long‑term productivity potential is not yet fully realized or measured in real industrial or agricultural deployments. (arxiv.org)
• Friedberg’s own statement is explicitly long‑term and conditional. He frames the 10× improvement as what will happen if AR goggles like Vision Pro are properly deployed with the necessary software and adoption in those workflows, not as something expected within months. Secondary coverage repeats his view as a forward‑looking thesis about spatial computing in agriculture, not as a claim that has already been validated. (agtecher.com)

Because (1) the specific Vision Pro/AR‑goggles greenhouse workflow Friedberg described has not yet been widely implemented with mature software, and (2) existing field and academic studies in adjacent agricultural/livestock scenarios do not provide clear, quantitative evidence of ~10× productivity gains, the prediction cannot currently be tested. It remains a plausible but unproven long‑term claim, so the outcome is inconclusive rather than clearly right or wrong.