5 Manufacturing Transformation Trends Defining 2026
From AI-powered workforce augmentation and frontline digitization to operational visibility and connected worker transformation. As 2026 progresses, manufacturing leaders are moving beyond experimentation and focusing on connected worker initiatives that deliver measurable workforce and operational outcomes.
Conversations with senior leaders from Owens Corning, INX International, Syngenta and Fujifilm reveal how organizations are using AI, connected worker technologies and data-driven operations to address today's challenges while building long-term resilience.
1. AI Will Shift from Experimentation to Workforce Augmentation
Artificial intelligence continues to dominate manufacturing conversations, but leaders are increasingly focused on practical applications rather than hype.
At Syngenta, Brandon Leander sees agentic AI as a tool that enhances human decision-making rather than replacing it. As the company explores AI within its complex supply chain operations, the focus remains on helping planners access information faster, make better decisions, and improve responsiveness across thousands of product combinations.
"We're focused on using intelligent agents as companions first, augmenting decision-making rather than fully automating it"
- Brandon Leander, Head of IT & Digital, Syngenta
Similarly, Fujifilm's Mike Tomasco emphasizes selective AI adoption, ensuring that new technologies align with business needs and employee workflows rather than becoming standalone projects. His approach reflects a broader industry trend toward targeted, outcome-driven AI investments.
Across manufacturing, AI is increasingly being deployed to support workers, accelerate decision-making and streamline workflows while keeping humans firmly in control of operations.
2. Frontline Adoption Will Matter More Than Technology Adoption
As digital investments mature, manufacturers are increasingly recognizing that technology adoption is impossible without workforce adoption.
At Owens Corning, Brian Perlstein stresses that digital transformation succeeds only when solutions add value within the flow of work. Workers must see clear benefits in their day-to-day activities if organizations expect sustained engagement and long-term value creation.
"Every decision we make should revolve around adding value in the flow of work. If we fail to do so and neglect to consider the impact on the individuals affected by these changes, no matter how innovative the solution may be, it won't succeed"
- Brian Perlstein, Digital Manufacturing Innovation Leader, Owens Corning
Workforce readiness is becoming a critical success factor for digital transformation initiatives. As manufacturers face ongoing labor shortages, skills gaps and an aging workforce, organizations are placing greater emphasis on workforce upskilling, knowledge transfer and ensuring employees have the capabilities needed to adopt and operate increasingly advanced technologies. Successful transformation programs are increasingly combining technology deployment with structured training, change management and continuous learning strategies.
Many manufacturers are actively investing in digital learning, tribal knowledge capture, workforce upskilling and connected worker knowledge technologies that make expert knowledge easier to share across sites and teams.
3. Productivity Remains the North Star
Despite growing excitement around AI and emerging technologies, productivity remains the primary business outcome manufacturers are pursuing.
INX International provides a strong example of this shift. The company's connected worker initiatives focus on improving onboarding, accelerating ramp-up times, reducing errors, and increasing production efficiency through real-time visibility and digital guidance tools. The result has been measurable productivity improvements while simultaneously improving the employee experience.
Fujifilm's approach similarly centers on efficiency at scale. Tomasco highlights the importance of process optimization, analytics, and smarter operational decision-making, drawing on lessons learned from advanced data-driven manufacturing environments.
"The goal is to get more product from the same raw materials and labor"
- Mike Tomasco, SVP & CIO, Fujifilm Diosynth Biotechnologies
For many manufacturers, technology investments are now being judged primarily on measurable business outcomes, including productivity, quality, labor utilization and operational efficiency.
4. Operational Visibility Is Becoming a Competitive Advantage
Manufacturers are increasingly recognizing that real-time visibility is the foundation for better performance.
At INX International, connected worker technologies provide frontline employees and leadership teams with immediate access to operational information, enabling faster responses to emerging issues and more informed decision-making.
Syngenta is pursuing similar objectives through AI-enabled supply chain visibility. By improving access to planning, inventory, and demand data, the company hopes to reduce delays, improve responsiveness, and protect revenue opportunities.
"The real value here is protecting revenue and avoiding lost sales by giving the sales team timely visibility"
- Brandon Leander, Head of IT & Digital, Syngenta
Operational visibility has become a strategic capability, helping manufacturers respond faster to disruption, improving performance and making more informed decisions at every level of the business.
5. Connected Worker Transformation Will Become More Strategic and Less Experimental
One of the clearest developments emerging across manufacturing in 2026 is the growing maturity of digital transformation programs.
Manufacturers are becoming increasingly disciplined about aligning technology initiatives with business objectives. Fujifilm emphasizes starting with corporate strategy and working backwards to identify necessary capabilities and investments.
Likewise, Owens Corning views digital transformation as operational transformation, focused on improving efficiency, sustainability, collaboration, and knowledge sharing across the business.
More broadly, manufacturers are seeking practical approaches to digital transformation that simplify deployment, improve scalability and accelerate time to value. Rather than pursuing technology for technology's sake, organizations are increasingly focusing on initiatives that can be standardized, replicated and scaled across multiple sites and operations.
What These Priorities Mean for Manufacturing Leaders
Conversations across the manufacturing sector reveal a common theme: organizations are becoming more disciplined about where and how they invest in transformation initiatives.
AI adoption is becoming increasingly practical. Connected worker programs are increasingly being linked directly to workforce performance, operational resilience and measurable productivity gains. Visibility across operations is becoming a competitive differentiator. And digital transformation is increasingly measured by business outcomes rather than technology deployment.
For manufacturing leaders, the challenge is no longer whether to transform, but how to scale successful initiatives across the enterprise while maintaining workforce engagement and delivering measurable value.
These topics will take center stage at the Connected Worker Manufacturing Summit 2026, where manufacturing leaders will share practical lessons on scaling AI adoption, enabling frontline workers, improving operational visibility and generating measurable returns from digital transformation investments.
Join the conversation in Chicago, October 13-15, 2026!
Register your place at The Connected Worker: Manufacturing Summit today and ensure your connected worker strategy is built for the future.
