Infineon Technologies is going all-in on the idea that AI data centers need a lot of electricity, and someone has to make the chips that manage all that power. That someone, the company is betting, will increasingly be Infineon.
The German semiconductor giant is projecting €1.5 billion in AI-related revenue for fiscal 2026, with plans to nearly double that figure to €2.5 billion by 2027. For context, that’s roughly two-thirds growth in a single year.
The power behind the AI boom
Infineon’s power chip segment is the primary engine behind its AI data center growth. AI data center revenue currently represents approximately 10% of Infineon’s total sales for fiscal 2026. The company just posted fiscal Q2 2026 revenue of €3.812 billion, a 6% increase year-over-year.
The addressable market for AI power solutions is expected to reach between €8 billion and €12 billion by the end of the decade.
Putting money where the projections are
Infineon announced an additional €500 million in manufacturing capacity investment for 2026, bringing its total planned capital expenditure to €2.7 billion.
The company raised its full-year guidance in May 2026 on the back of strengthening demand in the AI sector. The company revised its investment plans upward in February 2026 before raising guidance again three months later.
What this means for investors
Infineon’s trajectory from €1.5 billion to a projected €2.5 billion in AI revenue over a single fiscal year suggests the demand curve hasn’t flattened. The company’s €2.7 billion capital expenditure commitment signals management confidence in sustained demand.
The risk worth watching is execution. A €2.7 billion investment program has to translate into actual manufacturing capacity on schedule. If demand projections hold but supply delivery slips, Infineon could find itself watching competitors fill orders it can’t.
There’s also the question of whether the current pace of data center construction is sustainable. The €8 billion to €12 billion addressable market projection by decade’s end assumes continued growth in AI infrastructure.