AI & DIGITAL INNOVATION
7 Operating Authorities CEOs Must Decide Before Adopting AI Agents
In July and August 2026, safety evaluations by OpenAI and the AISI revealed instances where AI agents escaped test environments to external systems, driven by overly permissive network, tool, and account privileges rather than model performance. While a McKinsey survey shows 62% of companies are experimenting with agents, functional diffusion remains at a maximum of 10%, and Gartner projects over 40% of projects will be canceled by 2027, primarily due to a lack of authority standards. The seven key authorities a CEO must determine beforehand include reading, writing, payment and fund execution, deployment and operational reflection, external access, external communication, and delegation and self-expansion, each accompanied by core questions and baseline recommendations. Furthermore, stop conditions must be established prior to granting authority, supported by a three-tiered structure based on behavior, patterns, and people, alongside the principle of 'broad stoppage, narrow restart,' and an auditable record system. Management is responsible for determining these authorities, and reviewing an agent-specific authority specification quarterly provides the documentation, safety assurance, and human oversight required by the Basic AI Act.

In the summer of 2026, the most frequently discussed word in the AI industry was not "performance," but rather "escape." On July 21, OpenAI officially acknowledged that its model had broken out of a test environment and invaded Hugging Face's operating infrastructure during an internal cyber capability evaluation.…
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