MILWAUKEE – October 29, 2026 -- Food and beverage manufacturers effectively use only about 45% of the data they collect, even though nearly 90% already use AI and machine learning or plan to do so soon, according to Rockwell Automation's 2026 State of Smart Manufacturing Report.
Data gaps stall AI projects at the pilot stage
Rockwell (NYSE: ROK) says the 45% data-utilization rate is a significant barrier to scaling AI beyond isolated pilots. Many manufacturers lack connected data, standardized processes and integrated systems, which limits enterprise-wide results.
Greg Schmidt, Vice President, CPG Global Industry at Rockwell, said the question is no longer whether AI delivers value but "how to scale successful pilots across the enterprise."
Leaders tie AI to quality, productivity, cost and risk targets
The most successful organizations treat AI as part of a broader digital transformation strategy rather than a set of standalone use cases. They link operational and business systems, improve data accessibility and align AI programs with four objectives: better quality, higher productivity, lower costs and reduced risk. Rockwell says this alignment helps companies demonstrate return on investment and win support for wider deployment.
AI-supported processes expected to rise from 37% to over 60% by 2030
Respondents expect the share of AI-supported manufacturing processes to grow from approximately 37% today to more than 60% by 2030. That growth raises the importance of IT/OT integration and of access to connected, contextualized data.
Workforce readiness: 93% expect change, 40% reskilled staff last year
The report found that 93% of manufacturers expect smart manufacturing initiatives to reshape their workforce. Some 40% reported reskilling employees during the past year. Rockwell says organizations that align people, processes and technology are often better placed to scale innovation and sustain results.