AI Investment Hits $252.3 Billion in 2024 with Minimal Earnings Impact, Study Reveals
In 2024, global corporate investment in artificial intelligence hit $252.3 billion, yet only 6% of firms report significant impacts on earnings. A recent arXiv study (identifier 2604.16369v2) argues that failures in AI projects are more often linked to shortcomings in organizational learning than to technological issues. This research draws on insights from 19 key industry and academic sources, including surveys from nearly 10,000 organizational leaders. It categorizes failures into two types: organizational (covering culture, leadership alignment, governance, and human-AI learning gaps) and technical (addressing semantic bottlenecks and output management). To tackle these problems, the paper proposes the Siloed-Integrated-Orchestrated (SIO) progression model, which outlines five essential pillars for enhancing AI capabilities.
Key facts
- Global corporate AI investment totaled $252.3 billion in 2024
- Only 6% of firms report significant earnings impact from AI
- Study argues AI failure is an organizational learning problem, not a technology deficit
- Research synthesizes 19 large-scale industry and academic sources
- Surveys included nearly 10,000 organizational leaders
- Identifies organizational and technical categories of failure
- Introduces Siloed-Integrated-Orchestrated (SIO) progression model
- Model maps AI capability across five pillars including Culture & Leadership and Data Architecture
Entities
Institutions
- arXiv