Amid rapidly growing adoption of enterprise-level AI agents, there’s a disconnect emerging between ambition and execution. Although 85% of organizations say they want to be agentic within the next three years, 76% say their current operations and infrastructure can’t support that change. They cite a lack of readiness across people, processes, and workflows. The sticky…
The rapid development and adoption of enterprise AI agents are forcing organizations to confront the reality of their current infrastructure and operational limitations.
This highlights a significant gap between ambition and execution in AI adoption, indicating that companies need to re-evaluate their fundamental designs to leverage agentic AI effectively.
Organizations are increasingly acknowledging that current structures and processes are insufficient for agentic AI, necessitating fundamental redesigns in operations, workforce, and infrastructure.
- · AI integration consultants
- · Enterprise AI platform providers
- · Organizational change management experts
- · Companies with agile organizational structures
- · Companies with rigid hierarchical structures
- · Legacy enterprise software vendors
- · Organizations slow to adapt workforce skills
- · Traditional IT departments
Widespread investment in talent upskilling and organizational restructuring to accommodate agentic AI.
Emergence of new organizational design frameworks and best practices specifically for AI-driven enterprises.
Increased divergence in competitive advantage between organizations that successfully integrate agentic AI and those that fail to adapt their foundational structures.
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Read at MIT Technology Review — AI