The digital economy generates vast amounts of personal data every second. In response, regulators worldwide have been enacting increasingly sophisticated rules to govern how that data is collected, used, and protected. For businesses operating online, keeping up with digital compliance requirements has become a full-time challenge. Here's what you need to know about the evolving regulatory landscape.
The GDPR Effect Goes Global
GDPR has become the template for privacy legislation worldwide. Brazil's LGPD, South Africa's POPIA, Canada's PIPEDA revisions, and state laws in the US like the California Consumer Privacy Act all draw heavily from GDPR's framework. The EU's follow-up regulation, the Digital Services Act and Digital Markets Act, further extends regulatory reach to platform conduct, content moderation, and market competition.
The practical implication is that a compliance program built around GDPR will cover most of the requirements under comparable laws. If your privacy policy is GDPR-compliant, your California privacy policy likely needs similar protections. If your consent mechanism meets GDPR standards, it will generally work for other jurisdictions. This convergence creates both efficiencies and ongoing obligations — as GDPR evolves through guidance and enforcement decisions, other laws tend to follow.
AI Regulation Arrives
Artificial intelligence has moved from theoretical concern to regulatory focus. The EU's AI Act, which took effect in stages starting in 2024, creates a risk-based framework for AI systems. High-risk AI — including systems used in employment decisions, credit scoring, education, and law enforcement — faces strict requirements for transparency, human oversight, and bias testing. General-purpose AI models face obligations around technical documentation and copyright compliance.
The US has taken a more sector-specific approach, with agencies like the FTC applying existing consumer protection and anti-discrimination laws to AI. Executive orders on AI have addressed safety, security, and civil rights concerns. The result is a patchwork of requirements that varies by industry and use case. Businesses deploying AI should conduct bias assessments, document training data sources, and maintain human oversight mechanisms.
Platform Accountability
Digital platforms face growing accountability for the content and conduct they enable. The Digital Services Act in Europe imposes obligations on very large online platforms to assess and mitigate systemic risks, provide transparent reporting, and implement user protections. Online safety laws in the UK and proposed legislation in other countries follow similar patterns.
These laws shift some responsibility for harmful content and illegal activities from individual users to the platforms that enable them. For businesses operating platforms or marketplace services, this creates new compliance obligations around content moderation, algorithmic transparency, and user recourse mechanisms.
Data Localization Expands
Cross-border data transfers have faced increasing restrictions. The Schrems II decision invalidated the EU-US Privacy Shield and created uncertainty for Standard Contractual Clauses. China's Personal Information Protection Law, Russia's data localization requirements, and similar rules in India, Indonesia, and elsewhere mean that businesses can no longer treat data as freely movable across borders.
For global businesses, this requires understanding where data resides, which transfers require specific legal mechanisms, and whether localization — storing data within specific jurisdictions — is necessary. The practical answer varies by data type, volume, and destination. Working with qualified privacy counsel to map data flows has become essential.