Organizations are increasingly recognizing that one of the biggest challenges in scaling AI is capturing tacit knowledge, the judgment, experience, and informal know-how that employees develop over years of work. Much of this expertise is never documented in procedures or manuals, yet it often drives critical decisions and operational effectiveness. As organizations adopt generative and agentic AI, attention is shifting toward identifying, preserving, and operationalizing employee expertise before it is lost through retirement or workforce turnover. The article argues that organizations that successfully capture and apply this institutional knowledge may gain a durable competitive advantage that cannot be replicated through technology investments alone.

Artificial intelligence emerged as a major topic at the G7 summit, where government leaders and AI executives discussed how advanced AI systems should be governed. French President Emmanuel Macron and OpenAI CEO Sam Altman called for greater international cooperation and the creation of global mechanisms to develop AI safety standards and oversight.

The discussion was fueled by a recent U.S. decision restricting foreign access to Anthropic’s newest AI models. European leaders expressed concern that heavy reliance on a small number of U.S. AI providers could leave countries vulnerable if access to critical AI capabilities is limited or withdrawn.

The debate highlights a growing global tension between national security, responsible AI governance, and technological sovereignty as nations seek both access to advanced AI and greater control over their digital futures.

OpenAI’s Blueprint for Democratic Governance of Frontier AI argues that increasingly capable AI systems require formal government oversight rather than relying solely on voluntary industry commitments. The proposal centers on three pillars: a national framework for frontier AI safety, a strengthened Center for AI Standards and Innovation (CAISI) as the federal government’s primary evaluation body, and a broader resilience strategy to address emerging national security and public safety risks.

The paper argues that democratic governments are best positioned to balance innovation with accountability, transparency, and public oversight. It calls for ongoing capability monitoring, independent evaluations, and greater government access to technical expertise so policymakers can respond as AI capabilities evolve. The central message is that decisions about the most powerful AI systems should ultimately be shaped through democratic institutions rather than by AI developers alone.

Anthropic launched Claude Fable 5 and Claude Mythos 5, its most capable AI models to date. Fable 5 is a public-facing version of the more powerful Mythos platform, delivering major advances in software engineering, research, vision, and sustained multi-step reasoning. To reduce misuse risks, Anthropic implemented safeguards that redirect certain cybersecurity and biology-related requests to a less capable model. The launch marked one of the first large-scale deployments of a frontier AI system designed to balance cutting-edge capability with safety controls, signaling a new phase in the commercial availability of advanced AI.