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, but only 30% see an impact on new revenue streams.
- Most AI deployments currently focus on productivity and efficiency gains (64% and 58% respectively), rather than top-line growth.
- 71% of organizations embedding AI into workflows realize substantial or moderate value, compared to a broader 16% realizing a high degree of measurable value.
- 69% of respondents cite legacy systems as a barrier to scaling AI across the enterprise.
The big picture
The survey reveals a widening gap between AI adoption and realized business value, suggesting that many organizations are overinvesting in AI without a clear strategy for integration and modernization. This highlights a broader trend of hype outpacing practical application in enterprise AI initiatives, and underscores the need for a more disciplined, workflow-centric approach to AI implementation. Appian's positioning as a process automation platform is strategically advantageous in this environment, but the company's success hinges on its ability to help clients bridge this value gap.
What we're watching
- Modernization Imperative
- The pervasive acknowledgement of legacy systems as a barrier suggests a significant wave of IT modernization spending will be required to unlock AI's full potential, potentially benefiting vendors like Appian.
- Workflow Integration
- The strong correlation between AI value and workflow integration indicates that organizations must shift from treating AI as a standalone tool to embedding it deeply within core processes, a complex undertaking requiring significant process redesign.
- Agent Governance
- The disparity between AI agent adoption and the lack of defined guardrails highlights a looming governance challenge; failure to address this could lead to operational risks and limit broader AI deployment.
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