Tech Firms Buy Workplace Data to Train AI on How Humans Work

Tech and AI companies are intensifying their push to obtain workplace data, seeking information that goes beyond public web content and instead captures how humans solve problems, collaborate, make decisions, and complete complex tasks. The trend, highlighted in Business Insider’s AI Data Grab series, signals a shift in AI development from raw model scale toward systems that can understand and replicate real-world work. Companies involved in the data race are reportedly offering businesses six- and even seven-figure payments for anonymized internal materials, including Slack messages, emails, presentations, and documents. These records provide insight into ordinary professional workflows, making them valuable training material for next-generation AI agents designed to assist with long, multi-step projects rather than simply generate text or code. The demand for workplace knowledge is also visible in specialized industries. Law firms, for example, are building AI systems around decades of accumulated legal expertise, turning proprietary institutional knowledge into a competitive advantage instead of relying solely on general-purpose models. By encoding their own processes, precedents, and judgment patterns, firms aim to create tools that are more accurate, trustworthy, and differentiated in a crowded AI market. Physical work is another frontier. AI developers are paying people to record real-world activities, from cooking meals to packing warehouse orders, with the goal of teaching robots and embodied AI systems how everyday human tasks are performed. This data is expected to help machines move beyond digital environments and operate more effectively in physical workplaces. Taken together, the developments point to a broader turning point in artificial intelligence. The first major wave of generative AI emphasized larger models, faster computing, and improved language capabilities. The next phase appears focused on understanding how work actually happens, so AI systems can assist people with greater precision, usefulness, and autonomy.