What leading institutions are seeing about AI adoption, productivity, and workforce shifts.
BUSINESS
Enterprise AI success is driven by organizational readiness, not technology
Stanford University Digital Economy Lab
Based on analysis of 51 real-world deployments, successful AI adoption is determined less by the model or technology and more by organizational factors such as leadership, processes, and readiness. Companies using the same tools saw vastly different outcomes depending on how they implemented them.
Why it matters for Indiana: the constraint is not access to AI. It’s execution. Indiana companies that focus on workflow integration, leadership alignment, and change management will outperform those still focused on tools and pilots.
AI use is widespread among students, but institutional guidance is lagging
Gallup/Lumina Foundation
A majority of college students now use AI tools regularly for coursework, yet many report unclear or restrictive institutional policies. AI is also influencing academic decisions, with a rising number of students shifting majors or coursework toward fields that better align with emerging AI-driven job opportunities.
Why it matters for Indiana: the gap between student behavior and institutional policy is widening, creating both risk and opportunity for states that move quickly to align education with real-world AI use.
AI is transforming jobs from within, not simply replacing them
Burning Glass Institute
New labor market data shows AI is simultaneously automating some skills while increasing demand for others, often within the same roles. Rather than creating a clear divide between “safe” and “at-risk” jobs, AI is reshaping the tasks and skill mix inside occupations across the economy.
Why it matters for Indiana: the priority is not job replacement. It’s job evolution. Indiana’s workforce strategy should focus on helping workers adapt within their current roles through targeted upskilling, rather than relying solely on retraining for entirely new careers.