CoreWeave (CRWV.US), an artificial intelligence (AI) cloud computing services provider, suffered a dual selloff in both its stock and bonds this week, with more than $10 billion in market value wiped out over just four trading days, reflecting growing investor concerns about its deteriorating credit conditions and highly leveraged expansion model.
However, Deutsche Bank believes that the recent market selloff lacks sufficient company fundamental factors to support it, and the sharp pullback in share price has instead created a buying opportunity for investors.
In early trading on Thursday, CoreWeave shares fell as much as 9.5%, but by the close had erased all losses to finish up 5.94%. Meanwhile, the company's credit risk indicators climbed to historic highs, and its high-yield bond prices fell further. Previously, CoreWeave bonds had already dropped on Wednesday to price levels typically seen as indicating an issuer is in financial distress, triggering market concerns about the company's debt-servicing capacity and future financing prospects.
However, Deutsche Bank analyst Brad Zelnick said in a note to clients on Thursday that while multiple factors combined to cause the violent selloff in CoreWeave's stocks and bonds over the past week, the bank struggled to find company-specific factors that could explain such a significant correction.
Zelnick pointed out that current market pricing ignores CoreWeave's high-quality customer base, proven business execution capabilities, ability to convert backlog orders into revenue, and leading infrastructure performance. He believes these fundamental advantages have not fundamentally changed due to recent credit market volatility, and therefore maintains a "buy" rating on CoreWeave shares.
Regarding the financing issue that the market is most focused on, Deutsche Bank acknowledges that CoreWeave will still need to raise more capital in the future to support AI data centers and related infrastructure construction. However, the bank believes the company has a massive customer backlog that can support subsequent financing, and new capital can also be raised gradually at a relatively stable pace, meaning CoreWeave does not necessarily have to complete large-scale financing in the short term.
In Deutsche Bank's view, the market may have overly amplified CoreWeave's financing risks while underestimating the support provided by its existing customer contracts and business execution capabilities.
Notably, Nvidia (NVDA.US) CEO Jensen Huang publicly expressed confidence in CoreWeave's financial condition on Thursday. Huang stated that CoreWeave's financial strength is continuously strengthening and its financing costs are actually declining. He also emphasized that he does not currently believe Nvidia needs to provide additional financial guarantees for CoreWeave, as the company's strength is continuing to improve.
As a key GPU supplier and shareholder of CoreWeave, Nvidia is closely tied to the company's business development. Huang's remarks are also seen as a response to recent market concerns about credit risk.
However, Huang's optimistic assessment of CoreWeave's financing situation stands in sharp contrast to the signals emanating from the bond and credit derivatives markets. As CoreWeave's credit risk indicators rise to historic highs, bond investors are demanding higher risk compensation, reflecting that the market still has significant divergence regarding the company's long-term financing capacity.
Beyond CoreWeave's own financing issues, concerns about the sustainability of the entire AI infrastructure investment boom are also heating up. Research firm Gartner recently warned that the current pace of AI infrastructure construction may have exceeded the level that related business revenue can support, putting a large amount of investment at risk of failing to fully recover costs in the future.
Gartner estimates that by 2030, more than $3.5 trillion in AI-related spending could face asset impairment risk. The firm believes that as AI computing infrastructure continues to expand, the industry will face challenges such as rising cost pressures, insufficient service differentiation, and intensifying competition.
Particularly noteworthy is that Gartner expects that by 2030, more than 80% of emerging AI cloud service providers will be unable to continue operating as independent enterprises. This means that in the coming years, the AI cloud computing industry may see large-scale consolidation, with some companies being acquired, merged, or exiting independent operations due to competitive and financial pressures.
Gartner pointed out that for companies like CoreWeave and NEBIUS (NBIS.US) whose business models are highly dependent on computing power demand, the related risks are particularly prominent. Unlike large technology companies with diversified businesses and stable cash flows, these emerging AI cloud computing service providers have revenue growth directly tied to data center computing power demand, making them more susceptible to changes in computing power prices, infrastructure utilization rates, and financing costs.
CoreWeave's recent dual selloff in stocks and bonds highlights investors' reassessment of the AI infrastructure investment logic. On one hand, AI model training and inference demand continues to grow, providing specialized cloud computing service providers with opportunities to expand their business scale. CoreWeave has large customers and considerable backlog orders, and Deutsche Bank believes these advantages are sufficient to support the company's future financing and growth.
On the other hand, building AI data centers requires continuous massive capital investment, and uncertainties around debt financing costs, computing power service competition, and infrastructure investment returns have also led the market to question the long-term profitability of some emerging cloud computing enterprises.
The views of Deutsche Bank and Gartner thus form a sharp contrast. The former believes that CoreWeave's recent share price decline has exceeded what fundamentals can explain and represents an investment opportunity worth seizing; the latter warns that the entire emerging AI cloud computing industry may face profound business model adjustments and consolidation pressures.
As CoreWeave's credit risk indicators continue to climb, investors will next focus on whether the company can obtain new financing at reasonable costs, convert customer backlog orders into actual revenue, and whether continuously growing AI computing power demand can generate sufficient returns for large-scale infrastructure investment. For CoreWeave, whether its stock price can stabilize in the future depends not only on whether AI demand remains strong, but also on whether the company can prove that its high-capital-investment growth model is sustainable over the long term.
Comments