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We make the case that 2026 is the year AI governance becomes operational and unavoidable, backed by three statistics that reveal global regulation, business unpreparedness, and the economic upside of responsible AI. We share the four pillars, the steps to operationalize them, and why governance ultimately accelerates innovation and trust.

• The global rise of enforceable, risk-based AI rules
• The adoption–governance gap inside most companies
• 2026 as the shift from optional to operational
• Four pillars: risk oversight, data governance, explainability, accountability
• Building an AI inventory and governance council
• Controls, monitoring, audits, and documentation at scale
• Governance as a driver of trust and speed
• 2026–2030 outlook: harmonization, sector rules, autonomous compliance

Start now. Begin the conversation inside of your company, identify your AI footprint, build your governance council, put the guardrails in place before regulations, and the risk catch up to you.

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