Siemens is continuing to expand the role of Industrial AI in manufacturing, with recent developments focused on connecting engineering software, automation, digital twins, CNC systems, and production data through a continuous digital thread. The company’s latest activities at IMTS 2026 demonstrate how AI is moving from experimental applications toward practical manufacturing workflows.

Industrial AI Moves Closer to the Factory Floor

Manufacturers are increasingly looking for AI technologies that can work with real industrial data rather than operating as standalone software tools. Siemens is addressing this demand by integrating Industrial AI into engineering, manufacturing planning, CNC programming, simulation, and shop-floor operations.

At IMTS 2026, Siemens demonstrated how a connected digital thread can link product design with manufacturing engineering and machine execution. This approach allows information generated during one stage of production to remain available during later stages, helping manufacturers reduce duplicated engineering work and improve production visibility.

The concept is particularly relevant for complex CNC manufacturing, where programming, simulation, machine configuration, tooling, quality inspection, and production optimization are closely connected.

AI-Assisted CNC Programming

One of the important areas of Siemens’ current Industrial AI strategy is CNC programming. AI-assisted manufacturing software can analyze part geometry and help programmers develop machining strategies while reducing repetitive programming tasks.

This does not eliminate the role of CNC engineers. Instead, AI can assist with routine activities while experienced programmers remain responsible for reviewing and approving manufacturing processes.

For manufacturers dealing with increasingly complex components, this combination of AI assistance and engineering expertise can help shorten programming cycles and improve consistency.

Digital Twins Connect Virtual and Physical Manufacturing

Digital twin technology is another important part of Siemens’ manufacturing strategy.

A digital representation of a machine or production process allows engineers to simulate and validate operations before physical production begins. CNC programs, machine movements, production sequences, and manufacturing processes can therefore be evaluated in a virtual environment before they are deployed on the shop floor.

Siemens demonstrated this approach through technologies including SINUMERIK CNC, Run MyVirtual Machine, NX manufacturing software, and related digital engineering tools.

The benefit is not limited to engineering. Digital twins can also support commissioning, operator training, process optimization, and troubleshooting throughout the equipment lifecycle.

Connecting Automation and Manufacturing Data

The digital thread concept extends beyond CAD and CAM software. Industrial automation systems generate large amounts of operational data through PLCs, CNC controllers, drives, sensors, industrial PCs, and other devices.

Connecting this information with engineering and production software can create a more complete view of manufacturing performance.

For example, production data can be used to identify process deviations, equipment performance issues, quality problems, or opportunities for optimization. The resulting information can then be fed back into engineering and production planning.

This creates a continuous improvement cycle in which manufacturing data becomes an active resource rather than simply historical information.

AI Engineering Assistance

Siemens is also developing Industrial AI applications aimed directly at automation engineering. Its Eigen Engineering Agent is designed to work with plant-specific engineering information and assist engineers with tasks such as control-code development and system configuration.

Siemens reports that pilot deployments involving more than 100 companies in 19 countries have demonstrated significant engineering-efficiency improvements. The technology is intended to augment engineering teams while retaining human review and validation.

This approach is particularly relevant as manufacturers face increasing demand for automation projects while experienced PLC and control-system engineers remain limited in many markets.

Toward More Intelligent Manufacturing Systems

The latest Siemens developments show a broader transformation taking place across industrial automation. Traditional PLC, CNC, SCADA, MES, engineering, and manufacturing systems are increasingly being connected through software and industrial data platforms.

Industrial AI adds another layer to this architecture by helping engineers analyze information, automate repetitive tasks, and make faster decisions.

For machine builders and industrial manufacturers, the combination of Industrial AI, digital twins, CNC automation, PLC technology, and connected engineering software could become an important foundation for future smart factories.

As manufacturing systems become more complex, the ability to connect design decisions with real machine performance will become increasingly important. Siemens’ latest initiatives demonstrate how the industrial automation industry is moving toward a more integrated model in which software, automation hardware, engineering expertise, and AI work together across the complete manufacturing lifecycle.