Executive-AI Team Confidence Gap Widens as Rollbacks Surge

  • 60% of C-suite executives confident in AI programs vs. only 43% of implementation teams
  • 74% of enterprises have rolled back or shut down deployed AI agents
  • 81% rollback rate among organizations with mature governance frameworks
  • 98% of enterprises increasing AI investment in 2026 despite operational challenges
  • Communications infrastructure satisfaction is strongest predictor of deployment confidence

Sinch's research reveals a growing disconnect between executive optimism and operational realities in enterprise AI deployments. While investment continues to surge, the high rollback rates—particularly among organizations with mature governance frameworks—highlight systemic challenges in moving from pilot projects to reliable production systems. The findings underscore the critical role of communications infrastructure in determining deployment success, suggesting that enterprises may need to prioritize foundational elements over pure AI capability development.

Infrastructure Readiness
How communications infrastructure satisfaction will affect AI deployment success rates across industries.
Governance Dynamics
Whether mature governance frameworks can reduce rollback rates as enterprises scale AI programs.
Investment Sustainability
The pace at which enterprises will reallocate budgets from AI development to trust, security, and compliance.