3 Siemens AI Automation Strategies — From Digital Twins to PepsiCo’s Performance [2026]

Siemens CEO’s 3 Key Strategies for AI Automation

  • Build factories virtually first with Digital Twin Composer
  • Partner with NVIDIA to build an industrial AI operating system
  • PepsiCo increased production by 20% with this technology

Siemens Declares: Automate Everything

Siemens CEO Roland Busch unveiled an ambitious vision at CES 2026: embedding AI into every process from design to operation. The key weapon? The ‘Digital Twin Composer’.[Siemens Blog]

Before building a real factory, simulate the process with photorealistic 3D models in a virtual space. By connecting to real-time sensor data, up to 90% of issues can be caught in advance during the pre-production stage.[Siemens Tecnomatix]

Industrial AI Operating System Created with NVIDIA

Siemens has expanded its partnership with NVIDIA to announce an ‘Industrial AI Operating System’. This is an integrated platform combining NVIDIA’s accelerated computing with Siemens’ industrial software.[IIoT World]

Busch stated, “Industrial AI is no longer a feature, but a force that will reshape the next century.” The direction is to evolve from automation to autonomy, and from digital twins to ‘decision-making twins’.

Real Results Proven by PepsiCo

The results of PepsiCo’s adoption of the Digital Twin Composer are impressive. They achieved a 20% increase in production, nearly 100% accuracy in design verification, and a 10-15% reduction in capital expenditure.[Siemens Blog]

According to PepsiCo, “Work that used to take months has been reduced to days.” This means that the method of building virtually first and then building faster in reality actually works.

Frequently Asked Questions (FAQ)

Q: What is Digital Twin Composer?

A: It’s a solution announced by Siemens at CES 2026. It creates and simulates 3D models in a virtual environment before actual factory construction. It integrates design, real-time data, and AI to proactively identify and optimize problems.

Q: How is the Industrial AI Operating System different from existing automation?

A: While existing automation was about replacing repetitive tasks with machines, this system allows AI to make its own judgments and optimize. The difference lies in the intelligent automation of the entire process by combining NVIDIA’s computing power with Siemens’ domain expertise.

Q: Will this affect general businesses?

A: It impacts not only manufacturing but also industries connected to the physical world such as energy, infrastructure, and automotive. The method of reducing facility investment and increasing productivity through virtual simulation can be applied regardless of scale.


If you found this article useful, please subscribe to AI Digester.

References

Leave a Comment