AI Governance

The Personal Information Protection Commission (PIPC) recently unveiled its policy directions for 2026, laying out a sweeping plan to move Korea’s privacy regime away from after-the-fact penalties and toward a more preventive, risk-based approach designed for an AI-embedded society. The roadmap was presented on December 2 at the Sejong Convention Center during a joint reporting session with the Ministry of Science and ICT, the Korea Aerospace Administration, and the Korea Media and Communications Commission.

Artificial intelligence is moving from novelty to infrastructure at a pace that is increasingly difficult for regulators to ignore. According to a new industry snapshot from the Australian Competition and Consumer Commission, AI is rapidly becoming embedded across products, platforms, and services in ways that could reshape competition, consumer trust, and market dynamics. While the ACCC acknowledges the growing benefits AI is delivering to businesses and consumers, it warns that the pace and scale of adoption are outstripping existing oversight frameworks, strengthening the case for continuous regulatory monitoring.

President Donald Trump recently signed a sweeping executive order aimed at curbing state-level regulation of artificial intelligence, framing the move as necessary to preserve U.S. competitiveness and prevent what the administration describes as a fragmented and burdensome regulatory landscape.

The first wave of obligations under Europe’s AI Act quietly came into force on August 2, 2025. It was the moment organizations were meant to turn policy debates into practice, especially for general-purpose AI models already woven into customer service, analytics, and day-to-day operations. But just as this new era of AI oversight began, another development signaled how uneven the landscape still is.

The European Commission has launched a formal antitrust investigation into whether Meta is unfairly limiting third-party artificial intelligence providers’ access to WhatsApp, potentially shutting out competitors to its own “Meta AI” service.

Italy’s competition regulator is tightening the screws on Meta, warning that the company’s latest changes to WhatsApp could choke off competition in the fast-moving AI chatbot market just as it begins to take shape.

In a recent article, Norman Marks asks a pointed question that’s becoming increasingly urgent across boardrooms, risk teams, and C-suites alike—are organizations truly leveraging the potential of AI, or are they still circling the runway while competitors take off? Drawing on new insights from Google AI and McKinsey’s latest 2025 survey, Marks explores whether companies are moving fast enough, cautiously enough, or strategically enough to turn AI from hype into real enterprise value, and what it means for practitioners who risk being left behind.