AI’s Performance Gains In 30 Nations, 20 Industries


From Potential to Performance: How Leading Organizations Are Making AI Work


Stephan Mergenthaler, Managing Director and Chief Technology Officer, World Economic Forum

FinTech BizNews Service

Mumbai, 19 January 2026: The World Economic Forum has released today a new report revealing successful AI stories that are already delivering measurable performance gains and how pioneering organizations are moving beyond experimentation to achieve impact at scale. As investment accelerates and expectations rise, the findings highlight a growing divide between companies that have built the capabilities to scale AI and those still struggling to deploy it effectively, showing how this gap can be bridged through lessons drawn from real-world use cases.

Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations, produced in collaboration with Accenture, draws on insights from both cohorts of MINDS (Meaningful, Intelligent, Novel, Deployable Solutions), a global Forum programme showcasing high-impact, real-world AI applications. Analysing hundreds of cases in more than 30 countries and over 20 industries (including healthcare, energy and infrastructure), an independent Impact Council of leading executives and experts identified clear common patterns among the most promising cases. These include embedding AI into strategic decision-making, redesigning work to strengthen human-AI collaboration, strengthening data foundations, modernizing technology platforms and supporting all of this with responsible governance.

“AI offers extraordinary potential, yet many organizations remain unsure about how to realize it,” said Stephan Mergenthaler, Managing Director and Chief Technology Officer, World Economic Forum. “The selected use cases show what is possible when ambition is translated into operational transformation and our new report provides a practical guide to help others follow the path these leaders have set.”

“Trusted, advanced AI can transform businesses, but it requires organizing data and processes to achieve the best of technology and – this is key – it also requires human ingenuity to maximize returns on AI investments,” said Manish Sharma, Chief Strategy and Services Officer at Accenture. “We encourage organizations to have a clear game plan, and focus on responsible innovation, as they seek to implement and scale AI.”


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