Why AI Readiness Is an Organizational Learning Problem, Not a Technology Purchase

• URL: http://arxiv.org/abs/2604.16369v2
• Date: Tue, 21 Apr 2026 02:57:46 GMT
• Title: Why AI Readiness Is an Organizational Learning Problem, Not a Technology Purchase
• Abstract summary: Global corporate AI investment reached $252.3 billion in 2024, yet only 6% of firms report significant earnings impact.<n>This article argues that AI project failure is fundamentally an organizational learning problem rather than a technology deficit.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Global corporate AI investment reached $252.3 billion in 2024, yet only 6% of firms report significant earnings impact. This article argues that AI project failure is fundamentally an organizational learning problem rather than a technology deficit. Drawing on a systematic synthesis of 19 large-scale industry and academic sources, including surveys of nearly 10,000 organizational leaders, we identify two categories of failure: organizational (culture, leadership alignment, governance, and human-AI learning deficits) and technical (semantic bottlenecks and output management challenges). We introduce the Siloed-Integrated-Orchestrated (SIO) progression model, which maps enterprise AI capability across five pillars -- Culture & Leadership, Human Capital & Operations, Data Architecture, Systems Infrastructure, and Governance & Regulatory Compliance -- and provides prescriptive guidance for advancing between stages. The implications challenge organizations to reframe AI investment as capability development rather than technology procurement.

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