Being AI -first
Explore AI-first thought leadership with Infosys’ insights, reports, and industry-specific content
Business Technology Thought Leadership
Telecom's workforce is AI-ready — yet the organizational strategy, structures, and capabilities to channel that readiness remain underdeveloped. This article examines the gap and sets out what telecom companies must do to close it.
Enterprises are racing to scale agentic AI, but most programs are unable to move past pilots. This article explores the reasons why, and what enterprises need to get right to move from pilot to scale.
AI is proliferating across the insurance value chain and showing potential for great transformation. Which brings us to the current test of insurance and AI: Its use in the industry is widespread, but its outcomes are as uneven as AI’s own jagged frontier.
Rachel Lipson of Harvard's Kennedy School makes the case that America has trained workers for the jobs we already have, while the fastest-growing industries are inventing roles nobody has trained for yet.
Cognition’s Jake Villas on why autonomous coding agents are already mission-ready for aerospace and defense.
Sustained AI business value requires moving beyond stacking up use cases to building durable, enterprise-wide capabilities.
Japan can accelerate AI adoption without compromising reliability by refreshing legacy systems, renewing cloud-ready data foundations, and reimagining work through AI-led transformation.
CPGs can shift from fragmented levers to integrated decision-making, enabling faster action, stronger margins, and scalable growth.
