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World Economic Forum adds 16 sites to global lighthouse network as AI becomes core operating capability
The World Economic Forum added 16 sites to its Global Lighthouse Network on June 22, 2026, reaching 238 total advanced manufacturing sites. The cohort spans six countries and shows AI operating as a core capability, with examples like a 2.6-fold throughput increase and 50% inventory reduction.
The World Economic Forum added 16 industrial sites to its Global Lighthouse Network on 22 June 2026, bringing the total to 238 of the world's most advanced manufacturing and supply chain operations. Announced in Dalian, China, the cohort spans six countries and spotlights a decisive shift: artificial intelligence is moving from isolated pilots to core operating capability, and companies that combine it with workforce redesign and sustainability metrics are pulling ahead of competitors.
The new sites join from China, India, Saudi Arabia, Singapore, Switzerland, and the United States. The Forum also launched Impact Stars, a programme to identify emerging industrial innovations before they reach mainstream adoption. Applications open 15 July, with submissions judged on novelty, scalability, operational proof, and responsible impact on people and the planet.
"The world's leading manufacturers are no longer optimizing individual processes; they are reimagining entire operating systems," said Kiva Allgood, Managing Director, World Economic Forum. "The newest Lighthouse sites show how intelligence is becoming embedded into the fabric of operations, enabling organizations to respond faster, learn continuously and unlock new levels of performance across their value chains."
Three shifts defining industrial competitiveness
The 2026 cohort clusters around three operational shifts. First, AI now functions as a central operating capability - not a side experiment - helping sites improve decision-making, accelerate innovation, and continuously optimize performance. Second, leading manufacturers are placing people at the centre of transformation through new skills, redesigned roles, and human-machine collaboration. Third, sustainability has moved from compliance reporting to operational strategy, directly reducing costs, strengthening resilience, and supporting long-term competitiveness.
Meshal Almashari, Executive Managing Director at Aramco Ventures, framed the distinction between technology deployment and genuine transformation. "Lighthouse organizations have learned that deploying technology is only the starting point. Real transformation occurs when value is quantified, continuously tracked, and scaled across sites and business functions. The true winners are not those that pilot the most technologies, but those that successfully scale their highest-value innovations across the enterprise, converting isolated successes into sustained business value."
Productivity gains through scaled AI
The Lighthouse distinctions in Productivity and Customer Centricity reveal how AI-scaled operations produce measurable financial and throughput results. China Merchants Heavy Industry in Haimen deployed more than 25 digital solutions - including AI-driven planning and digital twin assembly - to achieve a 2.6-fold throughput increase and cut dock time by 52%. Hitachi Vantara Manufacturing in Norman, Oklahoma, used AI-enabled configuration automation to reduce inventory by 50% and shorten order-to-ship lead times by 77%.
On the customer side, Merck's Biotech Development Center in Switzerland shifted biologics production from batch to continuous processing, cutting speed-to-patient by 50% and reducing capital expenditure needs for new commercial plants by 80%. Schneider Electric's El Paso site raised on-time delivery from 61% to 97% and eliminated $43 million in backorders by integrating data engineering, industrial IoT, and advanced AI across its engineer-to-order value chain. For operations professionals building internal AI capabilities, targeted AI for Operations Courses can shorten the learning curve these Lighthouse sites have navigated.
Supply chain resilience and workforce transformation
Supply chain winners in the cohort tackled demand volatility and fulfilment complexity directly. Unilever's Haridwar site faced a 50% increase in SKUs and a fourfold rise in demand volatility from e-commerce. An AI-enabled planning ecosystem reduced response times by 72%, accelerated changeovers by 40%, and improved service levels to 99%. RRS Qingdao Smart Logistics Park deployed an AI platform for order fulfilment, warehouse operations, vehicle scheduling, and carrier bidding, increasing response time by 48% and cutting transportation costs by 23%.
Talent transformation received its own Lighthouse distinction, with Fujian Ningde Nuclear Power scaling 45 advanced use cases across workforce development, deployment, and human-error prevention. The site increased digital talent more than tenfold, reduced human error by 71%, and raised profit per employee by 50%. These results underscore a pattern seen across the network: technology investments that ignore workforce capability produce diminishing returns. Structured development paths like the AI Learning Path for Operations Managers help teams bridge the gap between pilot programmes and enterprise-wide scaling.
Sustainability tied to operational performance
The sustainability distinction winners treated emissions reduction and resource efficiency as operational metrics, not public relations targets. Unilever's Sonepat site in India reduced scope 1 and 2 emissions by 99%, improved energy efficiency by 29%, and achieved 100 times groundwater recharge while supporting 35% production growth. Schneider Electric's Beijing site eliminated scope 2 emissions entirely and reduced scope 3 emissions by 43%, pairing SF₆-free product design with supplier decarbonization programmes.
DCM Shriram in Gujarat, India's largest single-site caustic soda producer, deployed 45 advanced solutions including AI-enabled process control to deliver an 11 percentage-point EBITDA improvement, reduce power costs by 32%, and cut CO₂ emissions by 14%. These examples confirm a trend the Forum's Lumina intelligence platform has tracked: sustainability initiatives that are measured, tracked, and tied to operational KPIs outperform those treated as standalone projects.
Why this matters for operations professionals
The 2026 Lighthouse cohort makes one pattern unmistakable: sites achieving the largest gains are those that scaled a few high-value AI applications across the entire value chain, rather than running dozens of disconnected pilots. For operations managers, this means shifting focus from technology evaluation to deployment discipline - quantifying value, tracking it continuously, and scaling what works. The sites that reduced lead times by 35-77% and cut emissions by 43-99% did not use experimental technology. They applied AI to existing operational data, connected planning to execution, and retrained their workforce to work alongside the new systems. The gap between Lighthouse sites and the rest of industry is widening, and the differentiator is execution speed, not technology access.