Smart Factories: How AI & Robotics are Shaping Manufacturing
According to McKinsey, AI has generated more cost savings in manufacturing than in any other industry.
Working alongside advanced technologies such as robotics and IoT, smart factory processes can now operate autonomously with minimal human input.
Facilities are advancing beyond smart factory foundations to become cognitive networks, integrating hybrid human-AI workforces and ecosystems of intelligent agents.
Smart factories rely on four core components:
industrial IoT (IIoT)
big data and analytics
digital twins
robotics
When these technologies converge, maintenance becomes predictive, agility improves and efficiency can rise dramatically.
Once AI enters the equation, productivity has the potential to reach new heights.
The smartest factories
The World Economic Forumâs (WEF) Global Lighthouse Network highlights manufacturing sites and value chains at the forefront of Fourth Industrial Revolution (4IR) technologies.
Since its launch in 2018, the network has expanded to include more than 220 sites across 35 countries, each demonstrating standout performance in digital transformation.
Within Lighthouse factories, analytical and generative AI are being integrated into core operations to enable agile, autonomous decision-making.
While many organisations are still experimenting with broad, horizontal AI tools, the WEF reports that lighthouses are concentrating on vertical, industry-specific applications.
Analytical AI and machine learning account for the majority of deployments, with generative AI adoption now reaching 23%.
Adoption of these technologies alone does not guarantee meaningful impact.
According to the WEF, success depends on well-defined transformation roadmaps, agile teams and strong global ecosystem partnerships â factors that enable AI and other digital tools to scale beyond individual factories and unlock the full benefits of enterprise-wide transformation.
Manufacturing leadersâ plans
Deloitteâs 2026 Manufacturing Industry Outlook reports that the sector is transitioning from experimental AI pilots to full-scale implementation.
The firm notes that success relies on balancing ambitious technology investments with a flexible, forward-thinking workforce strategy.
In its 2025 survey, more than a third of manufacturing executives cited their top concern as âequipping workers with the skills and knowledge they need to maximise the potential of smart manufacturing and operationsâ.
Deloitte warns that as reshoring gains momentum, the demand for skilled labour could tighten further.
Based on a survey of 600 manufacturing leaders, 80% plan to allocate at least 20% of their improvement budgets to smart manufacturing initiatives.
These investments are set to focus on foundational enabling technologies, including automation hardware, data analytics, sensors and cloud computing.
The Deloitte 2026 Manufacturing Industry Outlook identifies agentic AI as âpoised to elevate smart manufacturing and operations,â predicting significant growth in adoption over the next few years.
According to Deloitte, agentic AI âlays the foundation for physical AI,â which nearly a quarter of manufacturers plan to deploy within two years, based on findings from the Manufacturing Leadership Council.
Trade uncertainty remains the leading concern for 78% of manufacturers, according to the National Association of Manufacturersâ 2025 Q3 Outlook Survey.
By autonomously detecting and mitigating supply chain risks, agentic AI could offer greater transparency and agility in global operations.
Deloitte concludes that strategic investment in digital tools â especially agentic AI â âcould be essential for manufacturers to maintain a competitive edge in 2026 and beyondâ.
The smart factory power list
1. Siemens - From hardware to software and AI, Siemensâ solutions like TIA Portal and Xcelerator are used in factories around the world.
2. ABB - ABBâs tools like RobotStudio Suite help manufacturers to visualise ideas and reduce commissioning time.
3. Schneider Electric - Schneiderâs EcoStruxure platform and AVEVA Insight software give managers a single dashboard to track power waste and carbon emissions.
4. Rockwell Automation - Rockwellâs PavilionX and ResilientEdge software run Predictive Control models that can automatically adjust machine settings.
5. Honeywell - Data from Honeywellâs Forge platform helps factory managers reduce energy waste and predict when a machine might fail.
6. Microsoft - Microsoft Azure IoT acts as the data backbone for smart factories, storing and analysing information from thousands of sensors at once.
7. Fanuc - Fanucâs CRX cobots and Zero Down Time (ZDT) software are built for factories that need high-speed production.
8. Dassault Systèmes - Dassault Systèmes provides the high-end simulation tools needed to plan, test and optimise a factoryâs performance before it even opens.
9. PTC - PTCâs ThingWorx and Vuforia bridge the gap between physical machines and digital data using IoT and Augmented Reality.
10. Tulip - Tulipâs no-code Frontline Operations Platform lets shop floor workers build their own custom apps for tracking quality and following instructions.
Siemensâ Nanjing Global Lighthouse
Siemensâ AI-powered facility in Nanjing, China, earned WEF Global Lighthouse Factory status in January 2026.
This marks Siemensâs fifth Lighthouse designation, following three sites in Germany and one in Chengdu, China.
As Siemensâ largest research and production hub for CNC systems, drives and electric motors outside Germany, the Nanjing plant exemplifies advanced AI integration.
The WEF recognition specifically celebrates breakthroughs in asset utilisation, worker enablement and resource management.
Cedrik Neike, Member of the Managing Board of Siemens and CEO Digital Industries, says: "We call our Nanjing facility a 'digital-native factory'. It was designed, tested and optimised entirely in the virtual world before a single brick was laid.
âBy combining our global manufacturing expertise with local insight and a digital-first mindset, we continuously optimise every part of the operation, making it one of the most efficient and flexible factories in the world.â
Alongside its Global Lighthouse Factories, Siemens develops proprietary technologies powering factories worldwide, including the Digital Twin Composer adopted by PepsiCo, nine specialised AI copilots and programmes such as Building X and Power Intelligence.
ABBâs smart factory solutions
ABBâs expertise in energy management and machine automation establishes it as a cornerstone of smart factories globally.
Although AI and high-compute systems drive productivity gains, they simultaneously increase energy demands.
ABB counters this with advanced energy intelligence solutions, such as digital switchgear and microgrids, enabling more efficient operations across facilities.
Within ABBâs Process Automation division, B&R Industrial Automation focuses on track systems and planar motors. It also delivers PCs and PLCs designed to function as the intelligent core of complete production lines, coordinating equipment from diverse vendors.
ABB Ability serves as the companyâs industrial AI and data platform, aggregating insights from every connected smart device across a factory into a unified dashboard.
Manufacturers can simulate assembly line changes within its digital twin environment prior to real-world implementation.
As factories deepen their cloud connectivity, they face heightened cyber risks.
ABB counters this with industrial-grade firewalls and secure edge gateways designed to safeguard the production floor.
Schneider Electricâs sustainable smart tech
Schneiderâs Electricity 4.0 framework establishes the company as a key architect of sustainable, digital factories.
By integrating power management with industrial automation, Schneider targets energy waste elimination in high-compute manufacturing settings.
The EcoStruxure platform forms Schneiderâs digital backbone, leveraging IoT and edge computing to link shop floor operations directly to the cloud.
With AVEVA now fully integrated, the company delivers end-to-end digital twins that enable manufacturers to simulate complete production lifecycles, cutting commissioning times by up to 30%.
In late 2025, Schneiderâs Advanced Lighthouse Factory in Kentucky, US, successfully piloted Universal Automation.
This IEC 61499-based technology separates automation software from underlying hardware, enabling factories to execute logic across multivendor machines without custom re-coding.
To tackle rising industrial energy demands, Schneiderâs ProClima and Microgrid Advisor leverage predictive AI for real-time power load balancing.
These systems maintain carbon-neutral operations as factories expand AI compute capacity, by dynamically switching to onsite renewables during peak usage.
