71% of enterprises find switching primary AI vendor difficult and 68% struggle with data residency across geographies, while 91% admit they lack visibility into AI dependencies. Only 7% operate advanced AI control systems that protect 55% more operating profit, highlighting a widening performance gap.
A global survey of 1,000 senior executives shows 71% of organizations find switching their primary AI vendor difficult and 68% face data residency and sovereignty hurdles across geographies. Additionally, 91% report insufficient visibility into dependencies across AI vendors, models and infrastructure, with an average of six AI disruptions over the past two years.
Survey respondents experienced an average of six AI-related service interruptions in two years, driven by vendor price increases, usage restrictions, model deprecations and performance degradation. 81% say a seven-day vendor outage would cause severe or critical disruption, effectively halting core operations and exposing margin and compliance risks.
Only 7% of organizations have advanced AI control capabilities that reduce downtime and protect 55% more operating profit from AI-driven disruptions. These leaders would accept up to a 20% increase in vendor costs to secure strategic flexibility and strengthen AI sovereignty under expanding compliance requirements.
