From compliance to workforce readiness, explore common organizational barriers to agentic, physical, and sovereign AI adoption, as well as how the future of AI is evolving.
As organizations accelerate their adoption of advanced AI trends in 2025, the path ahead is fraught with opportunity and complexity.
Imagine a global logistics provider where autonomous AI agents negotiate delivery routes, dynamically responding to weather-related delays and supply chain bottlenecks. Imagine a hospital where robotic assistants collaborate seamlessly with clinicians and wearable health monitors continuously analyze patient data and alert staff of changes. Or imagine a multinational bank leveraging sovereign AI practices to ensure sensitive customer data and proprietary models remain secure within national borders, instantly adapting to new regional requirements.
These scenarios are not remote possibilities. They are on the horizon as organizations accelerate their adoption of AI. Yet turning these visions into reality requires more than just enthusiasm for new technologies. Organizations must overcome technical limitations, manage operational complexities, meet evolving regulatory and compliance requirements, and ensure their teams are ready for change.
This article explores the practical challenges organizations face when adopting agentic, physical, and sovereign AI. The range of challenges illustrates the multifaceted nature of AI adoption and the need for integrated strategies.
Following the methodology used in our previous survey on these same subjectsDeloitte invited AI leaders and decision-makers from various industries, as well as a broader LinkedIn audience, to share their perspectives on the most important obstacles facing their organizations.
Here’s a summary of common challenges in adopting these AI trends in 2025, what people are saying, and updated AI predictions for 2026.