DigitalOcean reported continued traction with multiple nine-figure annual customer commitments for inference and cloud products added in the quarter. The company expects RPO to grow more than 10x from Q2 FY2025 to over $800 million, with weighted average life increasing as well. The magnitude of the RPO ramp signals improving visibility and demand for AI inference/agentic cloud workloads.
This is more meaningful for DOCN’s multiple than for near-term revenue. A large, contract-backed backlog can reduce the market’s fear that AI demand is purely bursty usage, but the stock only rerates if management proves those commitments convert without a corresponding rise in GPU lease costs, incentives, or customer acquisition spend. In other words, the headline improves visibility; it does not yet prove margin durability.
The main second-order risk is concentration disguised as breadth. A small number of large AI-native accounts can create a very large RPO number while leaving realized revenue and renewals lumpy over the next 1-2 quarters. If hyperscalers or alternative low-cost cloud providers bundle inference credits more aggressively, DOCN could still win the contract but lose the economics, which would cap upside despite the strong order book.
Contrarian view: the market may be underestimating DOCN as a credible “good-enough” inference layer for SMB and mid-market developers who do not need AWS complexity. But that optimism is only durable if billings, net retention, and gross margin all improve together; otherwise this reads as a visibility story, not a structural moat expansion. I would treat this as a confirmation trade into the next earnings print, not a blank-check AI rerate.
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moderately positive
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