76% of enterprises can't run the AI they're planning to build

Key Insights

• Positions involving routine tasks are declining by 13%, indicating a shift away from repetitive roles as AI takes over these functions.
• Roles that require analytical and creative skills are experiencing a 20% growth, highlighting the increasing demand for human capabilities that complement AI.
• The study emphasizes that human-AI collaboration, rather than job elimination, is the primary factor driving changes in the labor market, suggesting that leaders should focus on integrating AI to enhance workforce capabilities.

Key Insights

• 1. A significant 76% of enterprises recognize that their current operational frameworks are inadequate for supporting the ambitions of agentic AI, highlighting a critical gap between aspiration and operational readiness.
• 2. 82% of decision-makers believe that AI will not yield a return on investment without a comprehensive understanding of business operations, emphasizing the need for organizations to prioritize process intelligence as a foundational element for AI deployment.
• 3. Despite high interest in AI, only 19% of organizations are currently utilizing multi-agent systems, indicating that structural issues like siloed teams and disconnected systems are major barriers to effectively leveraging AI capabilities.