The AI Governance Gap — The Urgency Is Now (Part 1 of 3)

The Volkov Law Group's recent publication, "The AI Governance Gap — The Urgency Is Now (Part 1 of 3)," underscores a pressing issue in the corporate world: the significant disparity between the rapid adoption of artificial intelligence and the slow implementation of effective AI governance. The article points out that a substantial majority of organizations are utilizing AI tools, yet a mere fraction have established governance frameworks robust enough to manage them effectively. This oversight is particularly concerning given that many companies are operating without any formal policy for AI usage. The authors argue that this "governance gap" is creating considerable exposure for businesses. The regulatory landscape for AI is quickly solidifying, with significant legislation such as the EU AI Act set to impose stringent obligations and hefty penalties for non-compliance, with some fines potentially reaching up to €35 million or 7% of global annual revenue. Beyond European regulations, the United States is also seeing a surge in AI enforcement, with state attorneys general increasingly taking the lead in applying existing consumer protection, civil rights, and privacy laws to AI-related issues. The SEC has also flagged AI governance as a key focus area in its 2026 examination priorities. The article emphasizes that waiting for a fully standardized federal regulatory framework is a risky strategy. Companies that proactively develop AI governance frameworks, including clear documentation, regular AI system audits, vendor risk management, and monitoring of regulatory activities, will be better positioned to navigate this complex environment. Conversely, those that delay risk facing increased scrutiny and potential enforcement actions during this period of regulatory transition. The urgency is further highlighted by statistics indicating that a high percentage of enterprise AI projects experiencing significant failures lacked formal risk management processes at deployment. This suggests that AI governance is not merely a compliance checkbox but a crucial component of operational risk management in the age of intelligent systems. The piece concludes by asserting that the organizations that will thrive in the AI era are those that invest in governance capacity to deploy AI responsibly, manage its risks, and build institutional trust, rather than those focused solely on rapid adoption or cautious inaction.