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AI Governance Moves Center Stage: Why Audits and Policy Now Define MSP Risk
The episode identifies a structural shift in the evaluation and deployment of AI within organizations: decision-making is now driven by governance, control, and auditability rather than by features or capabilities of AI tools. This mechanism is anchored in the need for defendable practices amidst heightened scrutiny from institutions, regulators, and insurers. The change is observable in companies such as Anthropic and OpenAI, as well as in regulatory and procurement activities tracked by outlets like The New York Times and Business Insider, signaling that market adoption is tightly coupled…
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