AI adoption is driving demand for traditional servers, with Dell emerging as the biggest beneficiary.

Overview

Bernstein released a report noting that, with the rise of “agentic AI,” demand for AI infrastructure is expanding beyond standalone GPU clusters to encompass CPU‑intensive traditional servers. This trend, coupled with Supermicro Computer’s (SMCI) recent compliance-related challenges, is reshaping the competitive landscape of the server OEM market. The report identifies Dell (DELL) and HPE as the primary beneficiaries, with Dell emerging as the preferred choice thanks to its robust financing capabilities and scale advantages, while Supermicro faces downside risks stemming from declining market share and supply-chain uncertainties.

Core views

AI‑driven adoption revives demand for traditional servers: The research report underscores that AI‑powered agent workloads—characterized by multi‑step task execution, tool invocation, and data movement—rely far more heavily on general‑purpose computing (CPUs) than conventional chatbot inference or model training. Recent commentary from chipmakers such as AMD, Intel, and Arm all points to an upturn in CPU demand. Industry estimates suggest that by 2030, the total addressable market (TAM) for traditional servers could expand by 2.5 to 4.5 times—roughly $500 billion to $950 billion—providing long‑term growth momentum for Dell and HP, both of which boast robust traditional server businesses. Dell emerges as the biggest winner in the AI infrastructure landscape: Dell is viewed as a central beneficiary of this industry transformation. In addition to benefiting from the rebound in traditional server demand, Dell is best positioned to capture orders diverted from Supermicro due to compliance concerns. Its advantages include: (1) substantial scale and extensive direct customer reach; (2) a strong balance sheet and superior access to capital, enabling it to support large upfront capital expenditures by cloud customers—capabilities that elude both Supermicro and HP; and (3) deep trust relationships cultivated across enterprise‑level and government‑tier accounts. Accordingly, the firm has raised its FY2028 EPS estimate for Dell by 3% to $16.47, increased its valuation multiple from 14x to 17x, set a price target of $280, and reaffirmed its “Outperform” rating. HP stands to benefit steadily, though with somewhat limited upside: HP will also reap gains from strengthening server demand and the shift of enterprise and government clients toward compliant vendors. However, given its near‑complete withdrawal from the AI server segment serving cloud customers—including emerging cloud providers—HP’s ability to capitalize on this tailwind falls short of Dell’s. Based primarily on lower equity‑free cash flow projections, the firm has revised HP’s EPS forecast upward while raising its valuation multiple from 8x to 12.5x, setting a price target of $35 and maintaining a “Market Perform” rating. Supermicro faces significant challenges: Although Supermicro’s Q3 results exceeded expectations thanks to a product mix skewed toward higher‑margin traditional servers and enterprise customers, this does not signal positive momentum. On the contrary, it suggests that the company’s core AI server and large‑datacenter business is weakening. As compliance scrutiny intensifies, previously backlog‑filled enterprise order momentum may dissipate in Q4, and delays in “datacenter readiness” could translate into actual order cancellations. Moreover, Supermicro is highly dependent on NVIDIA GPU supply; should NVIDIA adjust its allocation strategy due to compliance considerations, this would further exacerbate operational risks. The firm judges Supermicro’s risk‑reward profile to be heavily skewed to the downside, maintaining a “Market Perform” rating with a price target of $37.

Analysis framework

The research report employs a dual‑pronged analytical framework—“technological trends plus shifts in the competitive landscape.” First, from a technological perspective, it dissects the evolving nature of AI workloads, highlighting the incremental demand for CPU compute power driven by generative AI. This analysis derives the expansion rationale for the traditional server market and draws on guidance from upstream chipmakers (AMD, Intel, and Arm) as supporting evidence. Second, from a competitive standpoint, it examines how Supermicro’s compliance crisis has prompted customers to reassess vendor risks. By comparing the three major OEMs across dimensions such as financing capabilities, customer mix (cloud vs. enterprise vs. government), and compliance records, the firm infers that order flows will shift from Supermicro to Dell and HP, with Dell particularly poised to capture a larger share of cloud‑side business due to its distinctive financing advantages. Finally, integrating adjustments to the financial model, the report translates these qualitative insights into quantifiable changes in EPS forecasts and valuation multiples, ultimately arriving at a revised target price.

Methodology notes

• Industry/ Sector Analysis FrameworkSupply-and-Demand Framework

  The Impact of the Evolution of AI Workloads on the Hardware Demand Structure

  The research report analyzes the technological characteristics underlying AI’s evolution from “training/simple reasoning” to “agent-based AI,” noting that the latter requires greater CPU power for task orchestration and data management, thereby reshaping the relative demand for server hardware—CPU versus GPU. This shift constitutes the core rationale for assessing the expansion of the traditional server market.

• Competition and Strategic FrameworkMoat / competitive advantage

  Financing capability serves as a competitive barrier in B2B hardware sales.

  In large‑scale infrastructure deals, suppliers that offer financing solutions—such as Dell’s accounts‑receivable financing—have become a key competitive advantage. The research report notes that this capability enables Dell to more effectively secure orders from cash‑flow‑sensitive hyperscale cloud customers, even when competitors like Supermicro face constraints.

• Event Game Theory and Behavioral FinanceEvent-driven analysis

  Supplier Replacement Risks Stemming from Compliance Scandals

  The research report views Super Micro Computer’s alleged smuggling charges as a trigger event, analyzing how they have prompted customers—particularly government entities and large corporations that are highly compliance‑sensitive—to reassess supply‑chain risks, thereby precipitating a structural shift in market share.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• Dell Technologies (DELL.US)

  Key beneficiaries: capturing cloud, enterprise, and government orders that have shifted away from ultra‑small form factor PCs; and benefiting from the surge in demand for traditional servers driven by AI‑related initiatives.

  Strengths

  It boasts the largest scale, the strongest financing capacity (capable of supporting substantial upfront capital expenditures), deep customer relationships, and an excellent compliance record.

  Comparison

  Compared with HP, Dell enjoys a stronger competitive edge in cloud‑customer financing support and large‑scale execution; compared with Supermicro, Dell is free from compliance burdens.

  Risks

  Cost-cutting in the storage business could alienate customers; if the AI server market becomes dominated by ODMs, it may squeeze OEM margins; and both the PC and traditional server cycles are experiencing structural weakness.

• Hewlett Packard Enterprise (HPE.US)

  Secondary beneficiaries. They stand to gain from enterprise‑level and sovereign accounts’ preference for compliant vendors, as well as the rebound in demand for traditional servers.

  Strengths

  It has a long-standing track record in enterprise‑level and sovereign infrastructure projects, with a well‑established governance framework.

  Weaknesses

  It has virtually exited the AI server business for cloud customers (including emerging cloud segments), with limited capacity to capture upside potential.

  Comparison

  Its financing capacity is weaker than Dell’s, making it difficult to take on large cloud‑computing contracts that require substantial upfront capital investment.

  Risks

  The server business continues to underperform, or the merger and integration with Juniper encounters significant hurdles; meanwhile, competitors are seizing the opportunity to poach key accounts.

• Super Micro Computer (SMCI.US)

  The affected parties face customer attrition, order cancellations, and a potential reduction in GPU supply allocations due to compliance scrutiny.

  Weaknesses

  Compliance blemishes constrain government and large‑enterprise procurement; the company lacks a financing buffer comparable to Dell’s; and it exhibits high reliance on a single supplier—NVIDIA—without a long‑term supply agreement.

  Comparison

  It significantly lags behind Dell and HP in both compliance and financing.

  Risks

  A crisis of confidence could be triggered by emerging accounting issues or concerns over trade restrictions; Q4 results may fall short of expectations due to order delays and cancellations; NVIDIA’s reduction in GPU allocations has led to lower capacity utilization.

Key data

• Potential multiple of expansion in the traditional server TAM (2030 vs. 2025)2.5x - 4.5xBased on the CPU utilization assumption or a 35% CAGR projection
• Dell’s FY28 EPS Forecast$16.47Upward revision by 3%, corresponding to a P/E ratio of 17x, with a target price of $280.
• HP FY27 EPS Forecast$2.85Corresponding to a 12.5x PE ratio, the target price is $35.
• Supermicro Computer Q3 AI Server Revenue Share80%It declined by 10 percentage points month-over-month, marking the first drop in ten quarters.
• Supermicro Computer’s Q3 Gross Margin10.1%The quarter-over-quarter improvement was driven by a higher proportion of traditional servers and enterprise customers.

Impact & implications

For investors, this means that the investment rationale for AI hardware is evolving from a narrow narrative centered on GPU shortages to a broader focus on balanced infrastructure deployment. Dell, with its comprehensive service capabilities—spanning hardware, financing, and support—is being revalued as a high-quality AI infrastructure play. HP, meanwhile, serves as a solid second‑tier option, benefiting from the resurgence of enterprise‑level demand. As for Supermicro, despite its seemingly attractive valuation, its fundamentals are increasingly weighed down by non‑market factors—such as regulatory compliance and supply-chain geopolitics—leading to heightened near-term earnings volatility and greater uncertainty regarding its long-term market share, thereby elevating overall investment risk.

Risks

• Super Micro Computer may be facing new accounting issues or concerns about circumventing trade restrictions, triggering a crisis of confidence.
• If Dell aggressively streamlines its storage product portfolio or cuts costs, it could alienate customers and lose market share.
• If the AI server market becomes further dominated by ODMs, it could erode the market position of OEMs such as Dell.
• If HP continues to make missteps in its server business or in the integration of its merger with Juniper, it could create opportunities for its competitors.
• Personal computers and traditional servers belong to mature, cyclical industries; a structural weakening of the cycle would weigh on the financial performance of related companies.

What to watch

• Examine Super Micro Computer’s fiscal fourth-quarter 2026 earnings report and guidance for any signs of shipment delays or weakening demand.
• Dell and HP’s comments in their upcoming earnings reports (May 28 and June 1) regarding the evolution of demand for traditional servers and the shifting share of AI servers.
• Has NVIDIA made any implicit adjustments to its GPU allocation strategy across OEMs?
• Have any major cloud customers (such as xAI) formally announced the relocation of their orders from Supermicro to Dell?