Hardware Infrastructure
The artificial intelligence investment landscape neatly separates into two main categories: those developing AI applications and those constructing the physical systems that power these technologies. C3.ai is a key player in the software arena, offering tools that enable large enterprises to deploy AI at scale. Meanwhile, Applied Digital is building the foundational infrastructure, specifically high-performance data centers required for intensive AI computations. While both companies aim to capitalize on the growing AI industry, their approaches and inherent risks vary significantly.
For C3.ai, the fiscal year 2026 came to a close with revenue amounting to $250.3 million, which marked a decline of 35.7% compared to the previous fiscal year. This significant drop is largely attributed to the company's ongoing transition to a consumption-based pricing model. The shift has affected their financial performance, resulting in a -187.9% net margin during this period, a clear indication of the financial strain accompanying this business transformation.
On the other hand, Applied Digital experienced a notable increase in revenue, with a 183.7% growth, bringing their total revenue to $611.3 million in the 2026 fiscal year. This impressive growth is driven by the high demand for data center infrastructure, evidenced by their $36.2 billion in long-term contracts with companies like CoreWeave. However, the company also reported a net margin of -39.9% as it pushes forward with rapid expansion to meet the rising demand for AI computing infrastructure.
C3.ai's financial strategy in 2026 shows a debt-to-equity ratio of zero, indicating that the company does not carry any debt relative to its shareholder equity. Despite this, the company's free cash flow was recorded at -$190.7 million, which reflects the substantial investments being made to transition their business model. This negative cash flow highlights the challenges C3.ai faces as it adapts to the evolving AI landscape.
In contrast, Applied Digital has a much higher debt-to-equity ratio of 2.9x, meaning their total debt is nearly triple their shareholder equity. This figure demonstrates the aggressive capital investment the company is making to expand its operations. The company's current ratio of 4.0x shows it can manage its short-term obligations, but the increasing debt load at the end of 2026, reaching $5 billion, illustrates the financial commitments they are taking on to capitalize on AI infrastructure demand.
Different Risk Profiles Between C3.ai and Applied Digital
C3.ai's business model is heavily reliant on a few major partners such as Baker Hughes and Microsoft. This reliance on a small number of clients for a substantial portion of revenue introduces a significant risk, as any decline in sales from these partners could severely impact C3.ai's financial stability. The company's leadership changes also played a role in its performance; the brief exit of CEO Thomas Siebel in 2026 led to a noticeable dip in results. Although he returned in June, the recovery may not be immediate, as the company must first address the damage incurred during his absence.
Applied Digital faces its own set of challenges stemming from its capital-intensive nature. The company's model requires significant investments in data center construction, which can be costly. Delays in construction projects such as Polaris Forge could slow revenue recognition, impacting financial performance. Additionally, the company's reliance on a few major hyperscalers means that any changes in demand or market conditions could directly affect its cash flow.
Both companies encounter regulatory challenges. C3.ai must navigate evolving AI governance frameworks, including the EU AI Act, which can affect the way they deploy their technologies. Applied Digital, on the other hand, must address energy supply risks as its data center operations expand. These regulatory and operational considerations highlight the distinct challenges each company faces in their respective markets.