A recent AWS Enterprise Strategy blog post highlights a growing challenge in the world of artificial intelligence: while enthusiasm for agentic AI — autonomous systems that can plan and execute tasks without constant human prompting — is skyrocketing, most organisations are struggling to realise real business value from it. According to a survey referenced by AWS, 84 % of business leaders believe agentic AI will transform their companies, and most are increasing investment. Yet only about 26 % report they are “very effective” at using any form of AI to deliver positive outcomes, revealing a widening gap between ambition and execution.
The root of this execution gap lies not in technology, but in foundational readiness. The AWS analysis finds that most organisations are underprepared when it comes to critical enablers such as data infrastructure, governance, and workforce skills. Only a small fraction feel their data systems are truly fit for agentic AI, and many lack appropriate governance frameworks or trained staff capable of harnessing autonomous systems effectively. This shortfall creates barriers to scaling agentic initiatives beyond early pilots.
Another major challenge is trust and transparency. The blog describes how employees may resist delegating tasks to AI agents because they cannot see or understand how these systems make decisions. Without clear explainability, traceability, and measurable outcomes, leaders struggle to justify broader adoption, leading to hesitation in granting agents higher autonomy — a situation that can undercut the very advantages agentic AI promises.
To bridge the gap, AWS recommends that organisations invest in foundational infrastructure, upskill their workforce, build trust systematically through safer deployments, and define clear success metrics before large-scale projects begin. Those companies that tackle these organisational issues and focus on integrating agentic AI with strategic business aims — rather than merely chasing the technology — are more likely to realise productivity gains, innovation, and customer value as autonomous AI systems continue to mature.
