Source: The Next Web
Data brokers and web intelligence platforms like Bright Data and ScraperAPI are repositioning themselves as AI infrastructure providers. Training large language models requires the same industrial-scale data collection they've been doing for a decade. Companies like OpenAI and Anthropic need vetted, structured datasets faster than they can build in-house scraping operations, creating a moat for vendors who already have legal frameworks, proxy networks, and relationships with publishers. The competitive pressure now is whether traditional data brokers can move upmarket faster than AI labs build their own data pipelines, and whether they can do so without triggering regulatory backlash around training data provenance.