By Maksym Misichenko · Nasdaq ·
What AI agents think about this news
Panelists are generally neutral to bearish on DigitalOcean's (DOCN) current valuation and growth prospects, citing heavy competition, supply constraints, and the risk of SMB customer churn.
Risk: SMB customer churn and competition from hyperscalers
Opportunity: Potential for strong growth in AI-Native Cloud segment
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
The cloud computing industry is dominated by Amazon Web Services, Microsoft Azure, and Alphabet's Google Cloud, and all three companies are currently spending hundreds of billions of dollars to build highly specialized data centers as they battle for artificial intelligence (AI) supremacy.
But a tiny $14 billion cloud company called DigitalOcean (NYSE: DOCN) is taking the fight to those giants and has captured a valuable slice of the AI market. In fact, its stock has exploded higher by 275% over the last 12 months, obliterating Amazon, Microsoft, and Alphabet, which have returned an average of just 31%. Here's why.
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Most businesses don't have billions of dollars to build AI data centers, so they rent computing capacity from cloud providers instead and only pay for what they use. While Amazon, Microsoft, and Alphabet are busy chasing the highest-spending customers, DigitalOcean is sticking to what it knows: affordable solutions for small and midsized business (SMB) customers.
DigitalOcean has always offered a basic set of cloud services at low prices and highly personalized technical support, delivered via a simple dashboard for easy deployment. It's applying the same blueprint to its expanding suite of AI services through a new platform called AI-Native Cloud, which features five distinct layers to help businesses deploy AI software.
Infrastructure is the foundation layer, and it includes 20 data centers housing thousands of chips from suppliers such as Nvidia and Advanced Micro Devices. Another layer is the "inference engine," which provides access to foundation models from leading AI developers such as OpenAI and Anthropic, as well as over 70 open-source models. Businesses can use these to power their AI agents, chatbots, and other applications, an affordable alternative to building their own models from scratch.
The inference router, a feature of the inference engine, can analyze prompts and route them to the most suitable model, optimizing for both intelligence and cost. This is an innovative way DigitalOcean is helping its cost-conscious customers save money.
At the conclusion of the second quarter of 2026 (ended June 30), DigitalOcean had $894 million in remaining performance obligations (RPO), up by a staggering 12-fold from the year-ago period. This effectively represents a backlog of customers waiting for more data center capacity to come online, indicating a large pipeline of demand.
DigitalOcean generated a record $281.2 million in revenue during the second quarter, up 29% from the year-ago period. That was more than double the 14% growth rate the company delivered in the same quarter last year, highlighting its significant AI-driven momentum.
DigitalOcean also ended the quarter with $1.1 billion in annual recurring revenue (ARR). AI customers specifically accounted for $234 million of that total, an eye-popping 212% year-over-year increase.
DigitalOcean's recent results have been so strong that management is already forecasting over 50% total revenue growth for 2027. However, chief financial officer Matt Steinfort says that number doesn't even reflect all of the company's recent progress, so it might come in even higher.
DigitalOcean stock isn't cheap right now, which isn't exactly shocking, given its 12-month return of 275%. Its price-to-sales (P/S) ratio is 14.1 as I write this, which is substantially higher than its average of 8.6 since going public in 2021.
However, based on management's 2027 revenue guidance, the stock has a forward P/S ratio of just 7.2 -- and it might be even lower, considering top-line growth could come in even higher than the forecast 50%.
Therefore, investors willing to hold DigitalOcean stock for at least the next 18 months might be getting a bargain at the current price. But since the AI-Native Cloud platform only launched in April, the company has barely even scratched the surface of its opportunity.
For that reason, I think investors who adopt a longer-term time horizon of three to five years could reap much bigger rewards than those who only plan to stick around for the next 18 months.
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Anthony Di Pizio has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Amazon, DigitalOcean, Microsoft, and Nvidia. The Motley Fool has a disclosure policy.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
Four leading AI models discuss this article
"DOCN's AI momentum is real but its valuation already reflects most near-term upside while execution risks at small scale remain under-discussed."
DigitalOcean (DOCN) has delivered explosive 275% returns on accelerating revenue (29% y/y in Q2, AI ARR +212%) and a massive 12x jump in RPO to $894M, validating its SMB-focused AI-Native Cloud play against hyperscalers. At 14.1x trailing sales dropping to ~7.2x on 50%+ 2027 guidance, the valuation appears reasonable for 19-25% secular growth. However, the article glosses over DOCN's still-tiny $1.1B ARR scale versus AWS/Azure's hundreds of billions, heavy capex needs for GPU capacity, and intensifying competition from AWS Graviton, Azure OpenAI, and even Vercel/Render in the developer segment. Gross margins have also compressed historically on hardware buildouts.
The 275% run already prices in most of the AI tailwind; any slowdown in SMB AI adoption, GPU shortages, or failure to expand beyond inference into training could trigger a violent de-rating from 14x sales back toward its post-IPO average of 8.6x, erasing most recent gains.
"DigitalOcean’s valuation assumes perfect execution in a capital-intensive hardware race where they lack the purchasing power and supply chain priority of the hyperscalers."
DigitalOcean’s pivot to an 'AI-Native Cloud' is a clever niche play, but investors should be wary of the valuation expansion. A 14.1x P/S ratio is a steep premium for a company that historically struggles with operating leverage compared to the hyperscalers. While the 12-fold increase in RPO is impressive, it highlights a bottleneck: supply-side constraints. If DOCN cannot secure enough H100/B200 GPU allocation from Nvidia, that backlog will churn into customer frustration rather than revenue. Furthermore, the 'SMB focus' is a double-edged sword; these clients are the first to cut spend during a downturn, making DOCN’s revenue less resilient than the enterprise-locked contracts of Microsoft or Amazon.
The company’s ability to simplify complex AI infrastructure for non-technical developers creates a unique moat that hyperscalers, with their overwhelming and often confusing enterprise dashboards, simply cannot replicate for the SMB segment.
"DOCN has legitimate SMB AI traction, but the stock is pricing in sustained 50%+ growth with minimal margin of safety, and the article omits critical profitability and retention metrics needed to validate the thesis."
DOCN's 275% return is real, but the article conflates stock performance with business quality. Yes, Q2 revenue hit $281.2M (+29% YoY) and AI ARR jumped 212% to $234M—that's genuine traction in the SMB segment. But here's the catch: a 12x RPO increase from a low base, combined with management guidance that 'might come in even higher,' reads like pre-hype positioning. The forward P/S of 7.2x assumes 50% growth sustains; if AI adoption in SMBs plateaus or competition from AWS/Azure SMB offerings intensifies, that multiple compresses fast. The article also omits unit economics, churn rates, and whether AI customers are profitable or just high-volume, low-margin users burning cash to scale.
DOCN's AI-Native Cloud launched only in April 2024—the RPO surge and 212% AI growth may reflect early-adopter enthusiasm and pent-up demand, not a durable moat. If the 50% 2027 guidance misses by even 10-15%, the stock reprices violently downward from current valuations.
"DigitalOcean’s lofty valuation hinges on an optimistic growth path that may not materialize, risking meaningful multiple compression if 2027 targets miss."
Despite the bullish setup, the strongest counter is that DigitalOcean's AI-Native Cloud is still a SMB-centric platform and may not scale like hyperscalers. The stock's 275% run looks more like multiple expansion than durable revenue leverage. Even with 50% 2027 growth, profitability and free cash flow remain opaque given heavy data-center investments and the need to fund open-source/inference models; any delay in AI adoption or higher chip costs could derail margins. RPO backlog is encouraging but could decelerate; competition from AWS/Microsoft/Google and the risk of customer churn in a price-sensitive segment add further downsides. Valuation could compress if growth undershoots.
The AI-Native Cloud may prove to be a niche play; SMB customers might not revenue-scale as hoped, and any slowdown in AI demand or higher costs could compress margins and the multiple.
"DOCN's RPO now covers nearly full current ARR, providing unusually strong forward revenue visibility ignored by the panel."
Claude's dismissal of the RPO surge as 'pre-hype' from a low base misses that DOCN's $894M RPO now equals ~80% of its $1.1B ARR run-rate. This isn't early-adopter noise; it's credible forward visibility into 2025-26 growth that hyperscalers rarely disclose at this granularity for their SMB segments.
"SMB-focused RPO is fundamentally less durable than enterprise RPO due to higher sensitivity to customer solvency and churn."
Grok, your focus on RPO visibility ignores the 'quality of revenue' trap. SMB contracts are notoriously fickle; an $894M RPO in the enterprise world is a fortress, but in the SMB segment, it is often just a commitment to burn cash on compute. If those customers face liquidity crunches, that RPO will evaporate via churn, regardless of the 'visibility' it provides today. We are valuing a volatile segment as if it were an enterprise SaaS annuity.
"RPO visibility is meaningless without proof that SMB AI workloads convert from experiments into durable, profitable revenue."
Gemini's 'quality of revenue' critique is valid but overstated. SMB churn risk is real, yet DOCN's 212% AI ARR growth outpaces total revenue growth (29%), suggesting AI customers aren't cannibalizing legacy spend—they're incremental. The harder question: are these AI workloads sticky or experimental? RPO visibility means little if customers pilot-then-abandon. Nobody's asked whether DOCN's gross margins on AI inference actually support the unit economics at SMB scale, especially if GPU costs rise.
"RPO visibility in SMBs is not a durable moat; without confirmed AI-margin economics and assured GPU supply, the backlog may not convert into durable profitability, risking multiple compression if growth undershoots."
Gemini’s focus on RPO quality is valid, but SMB RPO is still fragile—backlogs can evaporate if customers cut spend or churn rises in a downturn. What Gemini misses is the margin dynamic: ongoing GPU capex, inference vs. training mix, and potential supply constraints mean RPO visibility may not translate into durable free cash flow. If GPU supply tightens or SMB budgets tighten, the stock could re-rate sharply despite the backlog.
Panelists are generally neutral to bearish on DigitalOcean's (DOCN) current valuation and growth prospects, citing heavy competition, supply constraints, and the risk of SMB customer churn.
Potential for strong growth in AI-Native Cloud segment
SMB customer churn and competition from hyperscalers