Recent research reveals that while a growing number of organizations are turning to agentic AI, only 15% have achieved scaled deployments. Companies are under increasing pressure to transition from experimentation to production use, with most executives reevaluating their business models. Key challenges include outdated processes, insufficient data governance, and a lack of workforce readiness due to inadequate training and reskilling efforts.
Organizations are beginning to recognize the necessity of redesigning processes to fully harness agentic AI capabilities.
Unchanged: Many enterprises still cling to outdated processes that inhibit the integration of AI technologies.
The tone of the findings conveys a sense of urgency and caution as many organizations face hurdles in integrating agentic AI into their operations.
Widespread challenges in scaling AI adoption indicate that many companies are not equipped to leverage AI effectively.
Business models are under threat as companies struggle with necessary transformations for AI implementation.
With the rise of autonomous AI processes, companies need to reassess their operational models to avoid falling behind competitors who successfully embrace these technologies.
Enterprises are struggling to adapt and scale AI, facing complexities in workforce readiness and outdated processes.
US companies are facing significant challenges in adapting business models to incorporate AI technology.
AI integration may introduce new security vulnerabilities.
Widespread issues with data accessibility and governance complicate AI deployments.
Brands risk damage if unable to adapt to AI transformation.
High risk associated with failed AI deployment and integration efforts.
Existing IT infrastructure may struggle to support new AI demands.
No significant geopolitical ramifications were noted.
Potential regulations around AI deployment could impose additional challenges.
Limited direct supply chain impacts identified.
Anticipation of significant job displacement due to AI automation.
Increased liability concerns as AI plays a larger role in operations.