AI Outages Spark Urgent Questions for Business Dependencies
On September 3, major AI services from OpenAI, Anthropic, and xAI experienced outages within hours of each other. Each company blamed different issues, a routing error, an unexplained infrastructure problem, and a compute facility failure, respectively. The simultaneous disruptions highlighted critical questions for businesses relying on these tools: which workflows halted, who managed the backup plans, and whether anyone recognized the dependencies.
A survey by IBM and Oxford Economics revealed that only 9% of senior executives have a strong grasp of their AI dependencies. Moreover, 71% admitted switching primary AI vendors would be challenging, and 81% warned a seven-day outage would severely disrupt operations. This underscores the seven-day question: Could a business continue functioning if its main AI provider went offline for a week?
IBM argues that answering this requires more than knowing data locations, it demands control. The company defines digital sovereignty across five layers: data, AI, software operations, infrastructure, and technology. True sovereignty means the ability to move data, switch models, and shift workloads without vendor lock-in. IBM’s Sovereign Core software provides continuous compliance proof, aiming to safeguard 55% more operating profit from AI disruptions for controlled organizations.
For Chief Data Officers (CDOs), control begins with data. IBM’s October 14 webinar, “Context Is the Constraint: The Real-Time Data Foundation,” will explore this layer further. Analysts’ ratings of digital sovereignty technologies are available in Gartner’s Hype Cycle report.