Rockwell Automation Report Shows 90 Percent of Manufacturers See Digital Transformation as Essential
Rockwell Automation announced in a press release the findings of its 2026 State of Smart Manufacturing Report, based on a survey of more than 1,500 manufacturers across 17 countries. The study shows that 90 percent of respondents now consider digital transformation essential to stay competitive.
According to the report, 59 percent of manufacturers are already using smart manufacturing technologies, moving beyond pilot projects to practical implementation. Artificial intelligence is becoming a key factor in operations, with 34 percent of manufacturing activities now augmented by AI.
The study also highlights cybersecurity as a major concern. Forty-six percent of manufacturers reported experiencing at least one cyber incident. The report notes that investment decisions are increasingly guided by measurable outcomes and operational efficiency.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Cybersecurity
Oct 16 SpartanX names Erik Hardy CEO and launches vendor risk testing Oct 16 Inlayer, JLINC and Vconic Introduce Human Verification for Calls Oct 16 CTM and Huawei Plan AI Network Security Upgrades in Macao Oct 16 Advantech and DEKRA Partner on Industrial Cybersecurity Compliance Oct 15 Cyfendo Offers AI Code Scanning and Patch Review for Small BusinessesMore from Enterprise
Oct 16 Goodweek Raises $12 Million for AI Management Platform Oct 16 ALTOUR Unveils AI Platform for Corporate Travel Decisions Oct 16 BOC Group Adds AI Assistant to ADOIT 21 Oct 16 Huawei Brings Upgraded Stellar Network Solution to Europe Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 LaunchCybersecurity AI Weekly
Weekly newsletter about AI in Cybersecurity.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Kyndryl Survey Finds AI Expands Modernization Plans
China Calls for More AI and Robotics in Manufacturing
EU survey finds 42% of smaller companies use AI or automated management
Riskonnect Finds Fewer Than Half of Companies Train Staff to Evaluate AI Outputs
BCG Finds Nearly Half of Companies Generate Value From AI
Daily AI Brief: the AI news that matters, in your inbox.