Amazon Web Services has launched a new version of OpenSearch Serverless, a fully managed search and vector database specifically designed for AI agents rather than human users. Traditional cloud infrastructure was built around predictable human behavior—searching, clicking, scrolling, and streaming. AI agents operate differently, unleashing sudden bursts of activity by spinning up multiple sub-agents that query hundreds of databases, search documents, and call APIs within seconds before disappearing just as quickly. AWS's new system can instantly scale up when agents trigger tasks and scale back down to zero when idle, addressing this unpredictable demand pattern.
The launch reflects a broader industry shift as infrastructure originally designed for human-driven internet struggles to keep pace with machine-generated traffic. According to Cloudflare, bots already account for 31 percent of overall HTTP traffic over the past six months, with AI crawlers, search engines, and assistants comprising roughly a quarter of all bot requests. Lai Yi Ohlsen, senior product manager at Cloudflare, told TechCrunch that non-human traffic will exceed human traffic sometime during the first half of 2027.
At Google's I/O developer conference, the company announced plans for users to delegate tasks to AI systems, including researching purchases, booking travel, browsing the web, and interacting with apps. Beyond consumer-facing agents, enterprises are increasingly deploying AI systems internally and for customer-facing applications, generating new types of behind-the-scenes machine-to-machine traffic. This proliferation of autonomous agents that constantly retrieve information, invoke tools, and communicate with each other is forcing cloud providers and infrastructure companies to fundamentally rethink systems built for human users.