The opportunities of adopting AI in 20251 Organizations are shifting focus from efficiency to growth and value-chain reinvention to tackle complex challenges at unprecedented speeds. With over 82% of businesses seeing genAI as being one of their main levers for reinvention,2 organizations are increasingly adopting the technology, expecting significant benefits. Beyond operational efficiency, productivity is a key opportunity of genAI adoption. While businesses sometimes start by focusing on optimizing workflows and cost reduction, many later discover even greater potential through productivity improvements supercharged by genAI. High productivity growth companies are now seeing a 4.5% higher cost-efficiency ratio than peers.3 Early adopters of modernized genAI tools and processes have expanded their operational visibility, optimized capital allocation and achieved 2.4 times greater productivity and cost savings of 13%.4,5 A technology provider has developed a virtual engineer that transforms building management by using experience-based learning to anticipate behaviours and patterns. It integrates real-time data from portfolios, utilities and weather to optimize maintenance strategies. Operators can instantly generate energy and emissions reports, execute commands and make informed decisions, ensuring buildings operate efficiently. Virtual engineers can reduce heating, ventilation and air conditioning (HVAC) energy costs by up to 25% and cut maintenance planning time by 90%.6,7CASE STUDY 1 Efficiency and cost savings CASE STUDY 2 AI agent to improve operational efficiency and customers service A California-based wellness start-up launched an “AI agent as a service”, enabling customers of their partners to submit queries and receive rapid, natural language guidance. Trained on thousands of support pages and supporting over 100 languages, the agent is able to reduce the number of queries forwarded to human assistance by 78%. This capability has boosted customer service efficiency, allowing clients to focus more on their core operations.8 Revenue generation opportunities are picking up pace. Companies that lead in AI adoption are already outperforming their peers by 15% in revenue generation – a figure projected to more than double by 2026.9 This expected revenue growth could contribute $7.6-17.9 trillion to the global economy by 2038 – with the upper end of the range achieved through “people-centric” solutions.10 People-centric solutions recast adoption in ways that responsibly place people and innovation at the centre. This growth potential reinforces the urgency for companies to build AI-enabled capabilities to remain competitive and avoid the risk of being outpaced by early adopters. AI Governance Alliance: Transformation of Industries in the Age of AI 7

AI in Action Beyond Experimentation to Transform Industry 2025