DigitalOcean (DOCN), the artificial intelligence (AI) underdog, may have more room to run. The company is no longer just a simple cloud provider for small developers. It is becoming a focused AI-infrastructure platform for startups and small-to-medium businesses seeking usable, affordable cloud compute without the complexity of hyperscalers.
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The stock is up nearly 145% over the past 12 months and nearly 80% year-to-date, but I am still bullish on DigitalOcean because the company is finding a profitable niche in AI inference, winning larger customers, and proving that its simpler, lower-cost model can serve a part of the market that mega clouds powered by Nvidia (NVDA) and Amazon Web Services (AWS) (AMZN) often do not optimize for.
DigitalOcean Is Carving Out a Real AI Niche
The heart of the bull case is that DigitalOcean is not trying to outspend the hyperscalers in model training. Instead, it is leaning into AI inference, where customers want performance, predictable pricing, and ease of deployment. That matters because inference is becoming a much larger part of the AI stack as more companies move from building models to actually using them in production.
The company ended 2025 with $120 million in annual recurring revenue from AI, up 150% year-over-year, and some analysts believe the AI-optimized segment of cloud infrastructure is growing at a 110% CAGR. By contrast, the broader Infrastructure as a Service (IaaS) market remains large but is growing far more slowly. DigitalOcean is clearly aiming at the faster-growing part of the opportunity.
Just as important, this is not purely graphics processing unit (GPU)-rental revenue. Management has said that about 70% of AI revenue comes from platform services rather than bare-metal infrastructure alone. That suggests customers are building real applications on the platform, making revenue stickier and improving the long-term quality of growth.
Why the SMB AI Market Matters
This is where DigitalOcean looks underappreciated. The biggest AI infrastructure names are focused on the largest enterprises, frontier model labs, and massive training workloads. DigitalOcean is going after a different customer: developers, startups, and small and medium businesses (SMBs) that need AI capabilities but do not want the cost and operational burden of enterprise-grade cloud complexity.
That market may prove larger than many investors think. A startup running AI agents, a software company embedding inference into workflows, or a mid-sized business deploying AI-enabled apps often cares more about simplicity and fast time-to-value than about having the absolute most advanced configuration. That is exactly where DigitalOcean’s brand has always resonated.
This is also why the company’s “Agentic Inference Cloud” positioning makes sense. Agentic AI can create steady demand for lower-cost compute, storage, networking, and managed services. These are the kinds of workloads that the largest clouds may technically support, but not always in a way that is simple or economical for smaller customers. DigitalOcean is trying to become the default choice for that overlooked segment.
The Customer Traction Is Getting Harder to Ignore
The numbers are getting stronger across the board. In the fourth quarter, revenue reached $242 million, ahead of expectations, while overall growth accelerated to 18% from 16% in the prior quarter. Management then guided to about 21% growth in 2026 and said growth could reach 30% in 2027.
Customer quality is improving too. Revenue from customers spending more than $1 million annually grew 123%, and that cohort posted 0% churn in the quarter. Net retention improved to 101% overall, while larger customer cohorts performed even better, including 115% net retention for the $1 million-plus group. Those are not the signs of a fragile, one-off AI trade.
The Character.ai example is especially important. DigitalOcean said its Inference Cloud Platform helped Character.ai double production inference throughput while reducing cost per token by 50%. That is the kind of real-world performance proof that matters much more than marketing language. It shows DigitalOcean can deliver measurable return on investment (ROI) for demanding AI customers.
Investment Drives Growth, but the Math Still Works
The main pushback on DOCN is easy to understand: growth requires capacity, and capacity requires capital. The company plans to expand to 136 megawatts by the end of 2028, up from 44 megawatts at the end of 2025. That buildout will pressure margins and free cash flow in the near term.
Management has already acknowledged that. Gross margin and operating margin were pressured by startup costs and the timing of new GPU capacity. Free cash flow margin is also expected to dip before recovering. Yet unlike many AI stories, this is not speculative spending with unclear demand. Customer checks have been positive, and the company appears confident it can fill the capacity it is bringing online.
The valuation context helps here. The stock is currently trading at a Price to free cash flow (FCF) of 25.93, which is not cheap, but also not absurd for a company aiming for sustained 20%-plus growth and potentially 30% growth in 2027.
Wall Street’s View
According to TipRanks, the average rating on DOCN is Moderate Buy, with 10 Buy, four Hold, and no Sell ratings. Based on 14 Wall Street analysts offering 12-month price targets for DigitalOcean Holdings, the average price target is $81.08, which implies around 10% downside from the last price of $90.01.
Still, more recent target revisions are more bullish. In late March, Bank of America (BAC) lifted its target to $103, Citizens JMP to $105, and Cantor Fitzgerald to $102. This matters because the stock has already been sharply rerated, yet analysts are still moving their targets higher.
Conclusion
I am bullish on DOCN because DigitalOcean is proving it can be much more than a niche cloud host. It is building a real position in AI inference, winning larger customers, and serving a part of the market that the biggest cloud providers do not always serve well. The company’s results, retention metrics, and Character.ai performance gains all point to a platform that is getting stronger, not weaker.
Yes, the stock has already had a huge run, and yes, capacity expansion brings execution risk. However, I think the market is still underestimating the potential of DigitalOcean’s niche as AI adoption broadens beyond the largest enterprises. For developers, startups, and SMBs that want AI infrastructure without hyperscaler headaches, DigitalOcean looks increasingly like the right cloud at the right time. That is why I remain bullish on DOCN.