Enterprise AI Takes Center Stage as Over 50% of AI Use Cases Now Deliver Impact: Infosys Research

Core Insights - Infosys Knowledge Institute released its largest survey on AI effectiveness, the Infosys AI Business Value Radar, surveying 3,240 companies across 132 AI use cases, indicating a shift from experimentation to scaled deployment due to decreasing costs and increasing success rates [1][2][8] AI Effectiveness - 19% of AI use cases meet all business objectives, while 32% partially meet them, with organizations focusing on transformational AI use cases more likely to achieve their goals [2] - Well-designed change management and robust employee training can enhance AI deployment success rates by up to 18 percentage points [2][6] Industry Performance - High-performing industries include professional services, life sciences, high tech, telecommunications, and insurance, while financial services lag due to regulatory challenges [7] - Travel and hospitality, manufacturing, retail, and the public sector struggle with consistent AI success [7] AI Use Cases - IT, operations, and facilities are the most pursued AI use cases at 38%, followed by cybersecurity, resilience, and software development at 30%, with these categories showing a 10%-15% higher likelihood of success [7] - Industry-specific applications, such as claims processing in insurance and clinical trials in life sciences, improve core business operations [7] Recommendations for AI Deployment - Companies should invest in workforce AI readiness to nearly double their likelihood of success in AI deployments [7] - Key recommendations include accelerating agentic AI for operating model transformation, simultaneous experimentation through AI foundry and factory models, and creating an AI governance task force [5][7]