Emerson just committed to AI-native test tooling across the entire NI platform, not just a single app. Nigel AI is expanding from LabVIEW into TestStand, FlexLogger, InstrumentStudio, and SystemLink with prompt-based code generation and context-aware sequence building. Internal testing shows development and troubleshooting dropping from days or hours to minutes.
The mechanism is worth spelling out. NI test engineers currently write LabVIEW code and TestStand sequences by hand, context-switch between instruments and software, and debug by reading log files. Nigel AI embedded in the IDE does three things: it understands the local hardware configuration, it understands the project structure, and it suggests code inline. That is not a chatbot bolted onto a tool. That is the instrument configuration becoming part of the programming context, which removes the single biggest friction in ATE development: the gap between what the hardware can do and what the test code actually exercises.
T&M vendors have been slower than EDA to put AI inside the development loop. Synopsys and Cadence both shipped agentic tools in the first quarter of this year. Emerson is roughly one cycle behind, but the NI platform is broad, the installed base is large, and LabVIEW code generation is the unlock that matters most. Engineers who spend three weeks writing a semiconductor test sequence will spend a morning when prompt-based generation ships later in 2026. The vendors selling bench instruments to teams that have not yet upgraded to NI LabVIEW+ are now looking at a widening capability gap they cannot close with better hardware.