AI Adoption Stalls on Value Gap, Modernization Lag
Event summary
- A Harvard Business Review Analytic Services survey found 59% of organizations have AI in production.
- Only 30% of surveyed organizations report AI impacting new revenue streams.
- 71% of organizations embedding AI into workflows realized substantial or moderate value.
- 69% of respondents cite legacy systems as a barrier to scaling AI.
- AI agent adoption is limited in core operational areas like procurement, manufacturing, and supply chain.
The big picture
Despite widespread AI adoption, a significant disconnect exists between implementation and tangible business outcomes. This highlights a broader challenge for enterprises: moving beyond experimentation to strategically integrating AI into core workflows and modernizing underlying infrastructure. The findings underscore that AI's value isn't inherent but dependent on effective orchestration and governance, creating a potential inflection point for organizations lagging in these areas.
What we're watching
- Modernization Imperative
- The pervasive acknowledgement of legacy systems hindering AI scaling suggests a significant wave of infrastructure modernization will be required, potentially straining IT budgets and timelines.
- Workflow Integration
- The strong correlation between workflow integration and realized AI value indicates that organizations prioritizing this approach will likely outperform those treating AI as a standalone tool.
- Agent Governance
- The gap between AI agent adoption and defined governance rules suggests a rising risk of operational disruptions and unintended consequences as agentic AI expands beyond pilot programs.
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