Siemens CEO Roland Busch said the company’s work with Nvidia would continue regardless of what Nvidia decided about founder and CEO Jensen Huang. His explanation was straightforward: the collaboration involves a large team, and its projects can continue independently of developments around one leader.
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Why Busch said the partnership would endure
Busch made the comments after Siemens reported its fourth-quarter results on November 12, 2026, amid uncertainty about Huang’s future at Nvidia. Rather than treating the relationship as dependent on Huang personally, he described it as cooperation between two companies, supported by teams and projects on both sides.
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That distinction matters for a partnership built around ongoing industrial work. Siemens and Nvidia had already expanded their collaboration beyond a leadership-level relationship into a broader effort to apply AI across industrial workflows.
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What the Siemens–Nvidia partnership covers
At CES in January 2026, the companies announced an expanded partnership to develop an “Industrial AI Operating System.” Nvidia said it would provide AI infrastructure, simulation libraries, models, frameworks and blueprints to support the work. Siemens described the initiative as applying AI across the industrial value chain, from design and engineering to manufacturing and operations.
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The companies’ stated goal is to bring AI into industrial products and processes—not just to develop AI technology in isolation. Siemens lists offerings such as Teamcenter, Simcenter STAR-CCM+ and Siemens Industrial Copilot among the areas integrating Nvidia technologies.
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What the companies demonstrated in Erlangen
In October, Siemens and Nvidia showcased industrial AI work at Siemens’ electronics factory in Erlangen, Germany. The demonstrations showed how AI and simulation could help manufacturers respond to changing orders and move production forward faster. Teams could test proposed changes in a digital twin while the physical production line continued running; a production controller then reviewed trade-offs and approved a plan.
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Siemens also described Erlangen as a blueprint for adaptive manufacturing, with pilot applications moving toward commercial availability.
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29 These examples help explain Busch’s confidence: the partnership is tied to practical projects and capabilities across both companies, not solely to the public profile of one executive.
The business context
Siemens presented industrial AI as a driver of future growth in its fiscal 2026 results materials. The company also raised its medium-term comparable revenue growth target to 7%–11%, from 6%–9%.
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That outlook does not establish that any single partnership will deliver those results. It does show why Siemens has a commercial reason to keep building industrial AI capabilities with Nvidia, even amid uncertainty about Nvidia’s leadership.
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