Representative End User Clients
Representative Automation Clients
Representative Software Clients
KEYWORDS: Industrial AI, Jabil, Industrial Data Fabrics, Synapse Workers, Digital Twins, ARC Industry Forum
Overview
The 30th Annual ARC Industry Leadership Forum was recently held in Orlando from February 9-12. The focus of this year’s Forum was Industrial AI, specifically how end users can achieve business value and adopt the best practices of industry leaders. “Pacesetter” organizations, roughly the top tier of industrial companies, are treating AI as a core operational capability rather than an IT experiment. Last week we shared the case of PepsiCo, who is using agentic AI and massive digital twins to navigate the "Schism of Speed"—the widening gap between Industrial AI Pacesetters and the rest of the market. PepsiCo is a masterclass in applying AI to high-volume, continuous processes and massive-scale logistics.
But what if your manufacturing reality looks completely different? What if, instead of making billions of the same items, you are a contract manufacturer dealing with extreme high-mix, low-volume production, rapid changeovers, and complex discrete assembly? This was the focus of the second keynote at this year’s Forum, delivered by Chase Christensen, VP and CIO, Business Units and Enterprise Solutions at Jabil, a global manufacturing services company that partners with top brands to design, build, and deliver products across industries like healthcare, automotive, 5G, and cloud data centers. As a leading electronics manufacturing services (EMS) provider, Jabil offers comprehensive services from initial design and prototyping to complex supply chain management and full-scale production.
Listening to Chase, it became immediately clear that while Jabil shares the same core DNA as PepsiCo—firmly securing its status in the top 13 percent of Industrial AI Pacesetters—their application of intelligence is uniquely adapted to the physics and economics of their specific vertical. Here is my analysis of Jabil’s keynote, viewed through the lens of our Industrial AI Pacesetters 2026 Report and the Q4 2025 Industrial AI, Energy, and Robotics Survey.
The Common Thread: Escaping Pilot Purgatory Through Governance and Data
Before diving into the differences, we have to look at what Jabil and PepsiCo share: a ruthless focus on execution over experimentation. The Mainstream and Laggard cohorts in our research are stuck in "Pilot Purgatory," running isolated science experiments that fail to scale. Chase addressed this head-on in his presentation, titled "From Charter to Execution." He detailed how Jabil advanced its digital factory ambitions not by chasing shiny objects, but through a strict AI Steering Committee. This cross-functional governance model ensures that AI is applied strictly where it delivers the greatest operational, business, and customer value.
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