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Cloudflare's AI-Traffic Growth Is Strong, but Valuation Risk Is Rising

Cloudflare Just Gained 28% in a Month: Is It Too Late to Buy NET Stock Now?

Cloudflare's revenue growth and agentic workloads support the bull case, while a rapid share-price gain raises the execution bar.

Cloudflare's recent rally reflects a real operating shift: software agents and automated traffic are becoming a larger share of internet activity, increasing demand for network security, content delivery and edge computing. The source article reported that Cloudflare's second-quarter 2026 revenue rose 36% from a year earlier and that non-human requests exceeded half of traffic on its network for the first time.

That trend supports the company's Workers platform, which lets developers run code close to users and devices. Agentic applications can create more requests, security checks and inference tasks, giving Cloudflare more opportunities to monetize network usage. The investor case depends on converting that activity into durable revenue rather than simply processing more low-value traffic.

The risk is valuation and expectations. The article reported a 28% one-month rise in NET shares, substantially ahead of broader cloud and market ETFs. A rapid rerating raises the standard for future growth, margins and large-customer expansion. Strong operating results can still produce a weak stock reaction if the market has already priced in acceleration.

Comparisons with Datadog and Snowflake should be used carefully because the companies occupy different layers of the cloud stack and have different consumption models. Similar share-price moves do not make them operational substitutes.

For investors, the most useful measures are large-customer growth, dollar-based retention, Workers adoption, operating margin and free cash flow. AI traffic is a credible demand driver, but the stock requires both sustained growth and disciplined spending. The bull case is expanding internet infrastructure relevance; the bear case is that high expectations leave little protection against normalization.

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