Revenue for the Taiwanese-based manufacturer Hon Hai Precision Industry Co, also known as Foxconn, a key producer of AI server and compute infrastructure clusters like NVIDIA's Blackwell and Vera Rubin platforms, surged by 34% in the period from April to May. This significant growth underscores the persistently robust demand from major cloud computing providers and leading AI application developers such as Anthropic and SpaceXAI for NVIDIA's AI server product lines. The AI servers manufactured by Foxconn are crucial for meeting the enormous computational resource demands for AI inference on major cloud platforms like Amazon AWS and Microsoft Azure, and for ensuring the efficient operation of AI applications like Claude, ChatGPT, and Gemini.

Recently, signs of cooling have emerged in the investment frenzy surrounding the AI compute supply chain, partly triggered by Broadcom's latest AI semiconductor growth forecast falling short of Wall Street's expectations. This has led to a rotation into value and defensive stocks. By the close of trading on Thursday, popular AI-related tech stocks had pulled back, with sharp declines in shares of AI semiconductor companies like Broadcom, ARM, and Micron Technology dragging down the Nasdaq 100 index. Several analysts have recently noted that the rapid ascent of indices like Japan's Nikkei 225, the US Nasdaq 100, the Philadelphia Semiconductor Index, and South Korea's KOSPI has reignited concerns among some market participants about a potential AI investment bubble, prompting significant profit-taking after a six-month rally.

Foxconn's Sales Data Reinforces AI Investment Thesis

Foxconn's latest set of sales figures strongly reinforces the core financial market investment theme tied to robust AI compute infrastructure demand. The company's real-world order book continues to validate that "AI capital expenditure is real and accelerating." This positive signal is particularly significant against the backdrop of Thursday's pullback in the US AI compute supply chain, driven by Broadcom's "less-than-stellar" AI guidance, and Friday's sharp declines in shares of South Korea's major memory chipmakers, SK Hynix and Samsung Electronics.

Foxconn's Revenue Continues to Surge Amid Market Correction

Even as the AI super-bull market shows signs of correction, Foxconn, NVIDIA's largest manufacturing partner for AI compute clusters, continues to capture the benefits of the AI infrastructure boom. Based on calculations from its latest monthly sales data, Foxconn's cumulative sales for April and May reached NT$1.69 trillion (approximately $53.6 billion). The latest Wall Street analyst forecasts indicate that Foxconn's overall revenue for the quarter ending in June is expected to show a substantial year-on-year increase of 32%. On a monthly basis, Foxconn's revenue for May surged by 40% compared to the same period last year.

Detailed data released by Foxconn on Friday showed that its unaudited consolidated revenue for May reached NT$859.4 billion, representing a significant year-on-year increase of 39.57% and a month-on-month increase of 3.28%, setting a new record high for the period. In US dollar terms, May revenue increased by approximately 38.5% year-on-year and 4.2% month-on-month. The company concurrently disclosed that its cumulative revenue for the first five months of 2026 reached NT$3.82 trillion, a substantial increase of 31.79% year-on-year, also a record high for that period. Both the May single-month revenue and the cumulative revenue for the first five months of 2026 set new historical highs for Foxconn.

Regarding its outlook, Foxconn characterized the second quarter as "significantly better than previously expected growth," using notably more optimistic language compared to prior guidance, while also cautioning about uncertainties stemming from global political and economic fluctuations. The company also stated that its AI compute rack business is expected to maintain its growth momentum, providing ongoing support for overall revenue.

Disclosures on Foxconn's website show that its first-quarter 2026 revenue totaled NT$2.12 trillion, a 29% year-on-year increase. Driven by rapid growth in AI server demand from its "largest AI server customer," NVIDIA, the Cloud & Networking Products division now slightly exceeds 50% of total revenue. This division is expected to achieve significant sequential and strong year-on-year growth in Q2, fueled by even stronger AI compute infrastructure demand.

As the critical assembler for server clusters equipped with NVIDIA AI accelerators, Foxconn stated it expects its AI server business to expand significantly in 2026. Global demand for AI compute continues to soar as the four major US tech giants—Alphabet Inc., Amazon, Meta Platforms, and Microsoft—are set to allocate at least a combined $725 billion this year for AI compute infrastructure spending, despite lingering concerns about potential AI compute overcapacity and the monetization challenges of this cutting-edge technology.

A significant portion of this Taiwanese manufacturing giant's sales also comes from assembling Apple's iPhones and MacBooks. However, over the past year, its AI server-related manufacturing business has surpassed its smartphone business to become the largest contributor to Foxconn's overall sales, reflecting that the global frenzy for AI data center construction remains intense.

Massive Orders from NVIDIA Underpin the AI Bull Market

Even with a short-term correction in the AI compute chain, Foxconn's May and year-to-date revenues hit record highs, with AI servers/cloud networking becoming its strongest growth core. Previously disclosed Q1 results showed a 29% revenue increase and a 19% profit increase year-on-year. Foxconn continues to emphasize the exceptionally strong global demand for manufacturing and assembly related to NVIDIA's Blackwell and Vera Rubin AI compute clusters. This further solidifies the validation from the real-world order layer that the "AI compute demand frenzy" remains robust, highlighting how the massive AI server orders from its largest customer, NVIDIA, are powerfully underpinning the "AI super-bull market," demonstrating that the AI-driven bull run is not merely a capital markets narrative.

Foxconn's Pivotal Role in the AI Infrastructure Chain

Foxconn is viewed by investors as a "core barometer for the AI compute supply chain," more precisely, the "most critical barometer for AI server/rack manufacturing and delivery." It occupies the crucial delivery juncture between NVIDIA GPUs, CPUs, DRAM/HBM/NAND, data center optical interconnect systems, Ethernet switching networks, liquid cooling systems, AI PCBs, server rack power supplies, and the capital expenditures of hyperscale cloud providers. When Foxconn's server business overtakes smartphones as its largest revenue contributor, it signals that global AI data center construction has progressed from chip procurement to the deployment stage of entire racks, clusters, and complete data center systems.

From a technical and engineering perspective, Foxconn's value lies not in simply "assembling a server," but in undertaking system-level integration at the rack scale in the era of AI factories: integrating GPU/CPU accelerator boards, NVLink/NVSwitch interconnects, liquid cooling cold plates and CDUs, power architecture, cable management, rack-level testing, production line yield, and mass delivery. This is particularly critical for platforms like Blackwell GB200/GB300 and the future Vera Rubin, as AI servers have evolved from traditional 1U/2U servers into highly coupled, liquid-cooled rack clusters.

The Evolving Logic of the AI Compute Investment Cycle

The logic of the AI compute bull market is expanding from a singular chip shortage to a long-term capital expenditure cycle encompassing the full stack of compute infrastructure. According to analysts at Bank of America, AI compute infrastructure is entering a more enduring and broader capital expenditure cycle. Around the same time, a report from Morgan Stanley indicated that the AI compute arms race is entering a system-level expansion phase, with AI infrastructure demand showing a rare "inelastic" trend—meaning tech giants continue to ramp up AI data center construction regardless of cost curves. This "demand inelasticity" is expected to persistently strengthen the resilience of the US economy and the overall earnings growth of the S&P 500 index.

Morgan Stanley's latest projections highlight that, amid the global popularity of AI agents, the AI compute investment theme is shifting from "a single-point compute race around AI GPUs" to "AI agent-driven full-stack compute systems." Supply chain bottlenecks at the AI compute infrastructure level have expanded from "mass purchasing of GPUs/ASICs" to "striving to simultaneously address the entire AI data center delivery process," which includes data center power equipment, liquid cooling, data center CPUs, DRAM/NAND/HBM, optical communication/interconnects, high-performance Ethernet network infrastructure/data center DCI high-speed interconnects, transformers, and gas turbines. Morgan Stanley predicts that by 2028, nearly $3 trillion in AI-related infrastructure investment will flow through the global economy, with over 80% of that spending still ahead.