A detailed analysis is offered of how ChatGPT-3.5 has treated the world's languages for lexicographic purposes, starting with hyper-visible English, moving to semi-visible Portuguese, and ending with low-visible Bantu languages. Case studies for the latter group are region-visible Swahili, nation-visible Xhosa and local-visible Lusoga. This impact-based scale is reflected in the uptake of GenAI technology for lexicography. The results of using out-of-the-box ChatGPT-3.5 are fantastic for English, fake for Portuguese, and simply fail for the Bantu languages. But there is a way out, and the seeds for that are sown in this article.