The web is being rebuilt around AI agents, and we wanted to understand exactly how well that's working in practice. Together with Carnegie Mellon University, we've released AgentWebBench — the first benchmark to rigorously test how AI agents coordinate with each other to answer questions online. We built this because we care about a healthy ecosystem, not just single-model demos, and the findings challenge some core assumptions about where the agentic web is headed. The shif

Today, we are announcing a new research collaboration with Carnegie Mellon University (CMU) to study the economic foundations of generative AI systems. We’re kicking off the partnership with a new whitepaper examining one of the industry’s most pressing questions: how AI engines should actually make money. Alongside CMU, we will explore two areas likely to shape the next phase of AI development: agent-to-agent interaction, where specialized AI systems coordinate to complete