The internet is being rebuilt for machines
Amazon Web Services (AWS) has launched a new version of OpenSearch Serverless, designed specifically for AI agents. This infrastructure allows for rapid scaling to accommodate bursts of machine-generated traffic while minimizing costs during idle periods. The move reflects a broader trend in the tech industry to adapt cloud services for a future dominated by non-human internet activity.
- ▪AWS's OpenSearch Serverless is a fully managed search and vector database tailored for agentic workloads.
- ▪Cloudflare reports that bots accounted for 31% of overall HTTP traffic in the last six months, with AI crawlers and assistants making up a significant portion of that traffic.
- ▪The new OpenSearch Serverless decouples compute from storage, allowing for instant scaling based on demand.
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Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/05/28/the-internet-is-being-rebuilt-for-machines/ |
| Publication time | Thu, 28 May 2026 21:24:01 +0000 |
| Retrieval time | 2026-05-28T21:29:38.368Z |
| Last seen | 2026-05-28T21:45:48.890Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | -fbLtJR4C8Ir |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Cloud infrastructure has long been designed around humans who search, click, scroll, and stream in a steady and predictable fashion. AI agents behave differently. They can unleash a swell of activity, spinning up multiple sub-agents that query hundreds of databases, search documents, and call APIs in seconds and then disappear as quickly as they arrived. Under that premise, Amazon is redesigning a core piece of its cloud infrastructure. On Thursday, AWS launched its next generation of OpenSearch Serverless, a fully managed search and vector database — essentially a system for storing and retrieving information at scale — that’s designed specifically for agentic workloads. AWS says the new system can instantly scale up when agents trigger tasks and scale back down to zero when idle.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.