How Web Data Infrastructure Powers the Next Generation of AI — Patricija Žemaitytė, Oxylabs

AI performance relies increasingly on robust infrastructure that connects models to real-time, external data rather than just static training sets. Oxylabs demonstrates this shift by building scalable pipelines for video, metadata, and search results that feed directly into AI workflows. Success in this domain requires constant adaptation to evolving client needs, such as moving from basic data scraping to high-speed, sub-second retrieval systems capable of handling billions of daily requests. By offloading the maintenance of complex, anti-bot-resistant web intelligence, infrastructure providers enable AI developers to focus on model intelligence. Ultimately, the next generation of AI advancement depends on creating reliable, high-scale bridges between static models and the dynamic, ever-changing reality of the public web.