Infineon's AI Power Demand Surpasses Expectations; New Dresden Line Becomes Key Catalyst

Overview

This report is based on BofA Securities' interview with Infineon IR head Alexander Foltin at the 2026 Global Technology Conference. The key conclusion is that Infineon's AI power business has strong growth momentum, capacity bottlenecks are about to ease, and the worst phase for automotive high-voltage business has passed, suggesting a dual upside for both performance and valuation.

Core views

The report highlights three key developments at Infineon: First, AI power market demand far exceeds the current guidance of EUR1.5 billion. After the launch of the new Dresden Module 4 production line, AI power revenue for FY27/28E is expected to reach EUR3 billion/EUR4.5 billion (original forecast EUR2.65 billion/EUR4 billion), primarily driven by strong demand from GPU/XPU customers and higher ASPs. Second, gross margins are expected to improve due to enhanced product pricing power and reduced idle capacity costs. Third, the short-term drag on automotive high-voltage power devices (IGBT/SiC) from oversupply only accounts for approximately 6% of the automotive business. The company's restructuring measures, such as reallocating capacity (towards AI power) and simplifying structures, are expected to stabilize revenues and gross profits by mid-2027, while other automotive businesses (SDV/ADAS MCU) continue to grow organically at 9%. Additionally, the report emphasizes Infineon's structural competitiveness in 300mm wafer manufacturing cost advantages, leadership in long-cycle automotive and industrial markets, and positioning in AI server power solutions.

Analysis framework

The report adopts a typical semiconductor industry analysis framework of supply-demand + capacity + product structure: First, it identifies core growth engines (AI power) and short-term drags (automotive high voltage), then quantifies incremental space based on specific capacity implementation timelines (Dresden Module 4 starts production in July); secondly, it evaluates the prosperity and profitability quality of each business segment (automotive, industrial, power sensing, etc.) through segmentation; finally, based on revisions to revenue and gross margin, updates the financial model and uses relative EV/EBITDA valuation methods to position Infineon within the AI semiconductor value chain — though not a pure AI chip company, it holds an irreplaceable position in the power management segment required for AI infrastructure, thus justifying a premium valuation above historical averages but below pure AI targets.

Methodology notes

• Supply-Demand FrameworkSupply-demand framework

  The core contradiction in the semiconductor industry often manifests as a mismatch between capacity supply and downstream demand

  The report uses the point where AI customer orders far exceed current capacity as a starting point, judging that the launch of the new Dresden production line will directly improve the supply-demand relationship, and revises income forecasts accordingly, reflecting the typical 'demand-driven supply expansion' analytical logic.

• Valuation MethodEV/EBITDA valuation

  Enterprise value multiples (EV/EBITDA) are commonly used to measure the relative valuation levels of capital-intensive, high-depreciation industries

  The report uses 16.5x FY28E EV/EBITDA as the basis for the target price, making horizontal comparisons with global peers (15.2x) and AI-exposed companies (17.7x), explaining that this multiple reflects both Infineon's manufacturing barriers and growth certainty, while also implying a discount for its non-pure AI attributes.

• Industry/Value Chain Analysis FrameworkUpstream-Midstream-Downstream Transmission

  In the semiconductor value chain, upstream wafer factory capacity releases transmit to downstream AI servers, EVs, and other terminal applications

  The report views the new Dresden production line as a key upstream supply variable. Its launch not only increases Infineon's own revenue but also supports technological advancements in GPU manufacturers (like NVIDIA) and automakers in AI computing power and 800V platforms, demonstrating the perspective of value chain transmission analysis.

Asset mapping & comparison

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

• Infineon (IFX.GY)

  Core asset, directly benefiting from the surge in AI power demand and the launch of the new Dresden production line

  Strengths

  Global leader in power semiconductors, significant cost advantages in 300mm wafer manufacturing, leading market share in AI server power solutions

  Weaknesses

  Short-term pressure on automotive high-voltage business, relatively lagging layout of SiC in electric vehicle main drive compared to competitors

  Comparison

  Valuation lower than pure AI chip companies (23.5x vs 21x), but higher than general semiconductor peers (15.2x), reflecting its unique 'AI+Automotive' dual-wheel drive positioning

  Risks

  Slower-than-expected penetration of electric vehicles and ADAS; faster-than-expected adoption of SiC in electric vehicles weakening its IGBT share; order pullbacks due to repeat orders triggered by prolonged chip shortages

Key data

• AI Power Revenue Forecast (FY28E)EUR4.5 billionRevised upwards by 12.5% from previous forecast of EUR4 billion
• Target PriceEUR108.00Increased by 13.7% from previous target price of EUR95, corresponding to 21x FY28E EV/EBIT
• Current Stock PriceEUR88.00Closing price as of June 4, 2026
• Dresden Module 4 Launch TimeJuly 2026Key capacity catalyst, expected to contribute approximately EUR3 billion in AI power revenue for FY28E

Impact & implications

The report believes that Infineon is transitioning from a traditional automotive semiconductor leader to a core power supplier in AI infrastructure. The scale-up of AI power business not only brings direct revenue and profit growth but also strengthens its strategic positioning in the AI computing ecosystem. Meanwhile, structural adjustments in the automotive business will unlock long-term growth potential. If the penetration rate of AI servers accelerates or the adoption of 800V electric vehicles surpasses expectations, the company's valuation center could move further upward.

Risks

• Slower-than-expected penetration of electric vehicles and advanced driver-assistance systems (ADAS)
• Faster-than-expected penetration of silicon carbide (SiC) in electric vehicles, where Infineon is relatively weaker
• Repeated ordering due to ongoing chip shortages, which may lead to order deferrals once delivery times normalize
• High capital expenditures before fiscal year 2025 leading to weaker cash flow conversion rates compared to peers
• Appreciation of the euro against the dollar, with every 1-cent increase reducing company revenue by EUR25 million

What to watch

• Actual progress and yield of the Dresden Module 4 production line in July 2026
• Order fulfillment rhythm and ASP changes for AI server customers (GPU/XPU vendors)
• Whether revenues and gross margins for the automotive high-voltage business bottom out as expected in the first half of 2027
• Mass production progress of SiC in 800V electric vehicle platforms