SKN | Morgan Stanley Holds DigitalOcean Target at $75, Sees Bull Case to $160 on AI Execution

Key Takeaways:

• Morgan Stanley maintains $75 base target for DigitalOcean, outlines $160 bull case.
• AI-driven revenue mix shifting toward higher-quality, recurring workloads.
• Execution on capacity expansion remains the critical variable.

Target Reset Highlights Execution-Driven Upside

Morgan Stanley has reaffirmed its $75 price target on DigitalOcean (DOCN), while outlining a significantly higher bull-case valuation of $160.

With shares already trading around $96 after a sharp year-to-date rally, the focus now shifts from momentum to execution—particularly ahead of the company’s upcoming earnings release.

AI Revenue Shift Strengthens Business Quality

A key driver behind the more optimistic scenario is the evolving mix of AI-related revenue.

DigitalOcean reported that AI customer annual recurring revenue reached $120 million, growing 150% year over year. More importantly, over 70% of that revenue now comes from inference and core cloud services rather than short-term GPU rentals.

This shift signals that customers are moving from experimentation into production, creating more stable and recurring demand tied to real-world applications.

Platform Expansion Increases Revenue Per Customer

As AI workloads scale, customers increasingly rely on integrated services such as compute, storage, and networking.

This bundled usage model allows DigitalOcean to generate higher revenue per customer while improving retention and long-term value.

Additionally, the company is moving upmarket, with revenue from customers generating over $1 million annually rising 123% year over year—an indicator of improving customer quality and revenue durability.

Capacity Investment Raises Stakes

The company is entering a more capital-intensive phase, expanding infrastructure capacity from roughly 45 megawatts to 76 megawatts by the end of 2026.

This expansion is expected to temporarily compress margins, with adjusted EBITDA projected to decline to 36%–38% from 42% previously.

At the same time, an $889 million equity raise adds pressure to deliver returns that justify both increased spending and shareholder dilution.

What Could Drive the Bull Case

The path toward the $160 scenario outlined by Morgan Stanley depends on several execution factors.

Sustained growth in inference-driven AI workloads could improve revenue quality and predictability. Continued expansion into larger enterprise customers may further strengthen the business model. Maintaining strong retention rates would also support scalable growth without excessive customer acquisition costs.

Risks That Could Limit Upside

Execution risks remain central to the investment case.

If capacity expansion outpaces demand, margins could remain under pressure longer than expected. A shift back toward lower-quality, short-term AI workloads could weaken revenue visibility. Additionally, if upmarket momentum slows, valuation expansion may be harder to justify.

Market Interpretation

The divergence between the $75 base case and $160 bull case highlights a company at an inflection point.

DigitalOcean is transitioning from a smaller cloud provider into a more integrated AI and infrastructure platform, but success depends heavily on execution.

Outlook

Looking ahead, the upcoming earnings report will serve as a key test for the company’s trajectory.

If DigitalOcean can demonstrate strong AI-driven growth, effective capacity utilization, and stable retention, the gap between current valuation and the bull case could narrow significantly.

For confidential inquiries, partnership opportunities, or deeper insights into AI infrastructure, cloud platforms, and high-growth tech equities, we invite you to connect directly with the SKN team for professional engagement.