SIEMENS ENERGY SEES PROFIT SURGE BY 2030 AS POWER DEMAND BOOMS Siemens Energy AG expects its profit margins to rise to as much as 22% by 2030, driven by surging global demand for gas turbines, transformers and power-grid equipment. The German energy equipment maker forecasts annual revenue growth of up to 14% through fiscal 2030, supported by rising electricity demand from artificial intelligence infrastructure, data centers and electrification. Its profit before special items more than doubled to €5.5 billion in fiscal 2026. The company also announced an additional €9 billion share buyback through fiscal 2030 and proposed more than tripling its dividend to €2.30 per share. CEO Christian Bruch expects data-center-related electricity demand to remain strong, while the company forecasts around €5 billion in net income and €10 billion in free cash flow before tax for the current fiscal year. Its wind division, Siemens Gamesa, also reached breakeven, marking a major milestone in its turnaround.

Siemens Energy Q4 26 Earnings: • Rev: €12.83B (est €12.52B) • Profit Before Special Items: €1.54B (est €1.49B) • Siemens Gamesa Profit Before Special Items: €23M • Orders: €14.82B (est €15.31B) • Sees FY2027 Profit Margin Excluding Special Items: 14% To 16%

Siemens Energy says profit margins will swell to as much as 22% by 2030 after the company more than doubled earnings last year on booming demand for gas turbines and power-grid equipment

Siemens agreed to buy family-owned Lauterbach to expand its chip-design portfolio, part of a push to build a broader suite of software for designing and testing advanced semiconductors

Siemens CEO Roland Busch is launching a reorganization of the German industrial behemoth to mesh its digital and real-world products, part of a push to lift profitability closer to the elevated returns reaped by tech companies

Siemens CEO Roland Busch says AI has a property that makes it unusable in his industry: ask it the same question twice and you get two different answers. "We are living in a world where failure is not an option." "You cannot launch a design of a car or a product, manufacture it, send it to the field and find out it doesn't work. This is not an option. It costs you so much money." "So each step from design to production, again to operation, has to be deterministic," he says, and has to meet safety and security requirements to the highest standard. "And think about it. When you ask AI a question today, the same question, you get different answers." "So this is not an option. You need an harness." His answer is that the deployable unit is not the model, but what you build around it: "You need domain know-how. You need a lot of data. And you need to have a kind of embedded harnesses which make sure that your models don't go off-road." He gives the example of uploading your product designs and asking AI for a new version. "You will get one. But eventually it will not work." His fix is a system that holds the contextualized data, plus physics-based simulation that "gives you always the boundaries. It works in the real world or it doesn't." He names Siemens' own Teamcenter as that system, and calls this "where I believe the monetization will take place" - his commercial bet, not a finding. When a wrong answer becomes a physical object, what matters is not the model's best answer but what constrains its worst one. - Roland Busch (@BuschRo), President and CEO of Siemens AG (@Siemens), with Marc Benioff at Dreamforce 2026.