AI promises up to 40% productivity gains and $13T in global economic impact by 2030, but enterprise adoption demands strategy, governance, culture, and talent alignment. Risks include bias, lack of transparency, adversarial attacks, and data misuse, requiring strong oversight. Enterprises can assess readiness across technical and cultural scales, progressing from pilot projects to AI-first operations. Microsoft Copilot is highlighted as a low-risk entry point, embedding AI into daily workflows with fast ROI. For many, partnerships with IT and AI specialists will be key to bridging gaps and unlocking innovation, resilience, and sustainable growth.

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