Indrabati Sarkar · May 11, 2026 · 10 min read
Manufacturing is entering a new phase where work is no longer just executed, it is guided in real time. For years, the focus has been on building better systems, better visibility, and better analytics. But the next leap in productivity is not coming from more dashboards or reports but on-ground execution.
With agentic AI and augmented reality, real-time guided execution is emerging as that next lever.
Manufacturing has always evolved in response to scale. Early operations relied heavily on skilled labour and experience. Output depended on individual expertise, which made consistency difficult. Standardisation changed that. SOPs and assembly lines introduced repeatability and enabled scale.
Then came digitisation. Automation and IT systems improved efficiency, visibility, and control. Industry 4.0 built on this by connecting machines and systems through IoT, cloud, and AI, enabling real-time data and predictive insights.
Today, manufacturing is massive in scale. Global output is projected to reach $29.73 trillion by 2026, with value added expected at $8.64 trillion (Statista). The sector employs roughly 16% of the global workforce, making it one of the largest engines of economic activity. But this scale is not free of complexity.
Despite advancements in technology, manufacturing is facing a growing workforce challenge. The sector is expected to see 7.9 million unfilled jobs globally by 2030, pointing to a widening gap between the skills required and the talent available. As experienced workers retire and newer employees enter with limited hands-on exposure, maintaining consistency on the shopfloor becomes increasingly difficult.
Execution on the ground still relies heavily on manuals, memory, and delayed expert support
Data exists across systems, but is not accessible at the moment decisions need to be made
Information is often not contextual or actionable during task execution
This results in variability in how tasks are performed across teams
Errors, rework, and downtime continue despite advanced systems
To bridge the gap between intelligent systems and inconsistent execution, a new layer is emerging, bringing intelligence directly into the moment of work. This is where platforms like UnfoldXR come in. It combines AI and augmented reality to move beyond insights and enable action on the ground.
At the centre of this is AVA, an agentic AI layer that does not just respond to inputs, but actively supports how work gets done.
Before Work: Smart Planning & Readiness - Tasks are prioritised and assigned based on skill, availability, and context. Teams have clarity before work begins.
During Work: Guided, Contextual Execution - Step-by-step instructions, diagnostics, and decision support are delivered in real time, aligned to the asset and task.
After Work: Automatic Capture & Learning - Documentation, insights, and performance data are captured automatically, creating a feedback loop for continuous improvement.
Scan & Context Layer - Assets can be instantly identified to pull relevant history, workflows, and fault data at the moment of work.
Creator Mode - Expert knowledge is captured once and converted into structured workflows that can be reused across teams.
Device-Agnostic Deployment - Works across mobile devices, tablets, and smart glasses, making it practical to scale across environments.
Reduces dependency on individual expertise
Improves consistency and first-time fix rates
Minimises downtime and rework
Accelerates onboarding of new workers
Turns execution into a measurable, improvable system
Manufacturing is no longer just about connected machines. It is about enabling frontline workers with the intelligence they need to perform tasks with clarity, speed, and confidence - every time.
To learn more about how UnfoldXR is transforming manufacturing industries by enabling real-time guided execution for frontline workers, get in touch with us.