The EU's Digital Markets Act offers Vietnam a ready-made blueprint to curb platform dominance and open data and interoperability, potentially boosting competition in AI markets; success hinges on calibrated thresholds, capable enforcement, privacy safeguards and international coordination to avoid undue burdens on domestic firms.

Main Finding

The EU Digital Markets Act (DMA) establishes a targeted, ex ante regulatory framework to identify and constrain "gatekeeper" digital platforms whose market power can distort competition. By setting quantitative designation thresholds, defining core platform services, and imposing tailored obligations and prohibitions (e.g., on self‑preferencing, data access, and interoperability), the DMA aims to preserve contestability and protect consumers. For Vietnam, the DMA offers a transferable blueprint, but effective adoption requires tailoring thresholds, enforcement capacity, privacy alignment, phased implementation, and international coordination to avoid undue burdens on domestic firms and to support a competitive AI and digital ecosystem.

Key Points

• Gatekeeper concept

  • Defined by persistent, entrenched position, size, and control over access between businesses and end users.
  • Identification uses quantitative thresholds (turnover or market capitalization, user numbers) plus qualitative factors.
  • Applies across "core platform services" (CPS) such as search engines, app stores, social networks, marketplaces, cloud services, and advertising services.

• DMA obligations and prohibitions

  • Obligations: ensure fair access, data portability, interoperability, non-discriminatory access to business users, and transparency on ranking/recommendation systems and advertising metrics.
  • Prohibitions: self‑preferencing (ranking own services ahead of rivals), preventing business users from linking off-platform, combining personal data across services without consent, and making access to core services conditional on use of other platform services.
  • Compliance tools: mandatory behavioral remedies, ex ante duties, monitoring, periodic reviews, heavy fines and periodic penalty payments for breaches.

• Designation & enforcement

  • European Commission (EC) has power to designate gatekeepers based on objective thresholds; designation can be contested but is intended to be swift and dynamic with review mechanisms.
  • Enforcement combines administrative sanctions, corrective measures, and the possibility of structural remedies in extreme cases.
  • Emphasis on ex ante rules to preclude harms rather than rely solely on ex post antitrust enforcement.

• Critiques & challenges

  • Risk of over-inclusiveness (capturing firms not exerting abusive market power in particular local markets).
  • Compliance costs and innovation trade-offs — rules may burden smaller firms and create regulatory fragmentation internationally.
  • Technical complexity in defining interoperability, data access, and measuring effects on competition and innovation.

Data & Methods

• Doctrinal legal analysis: close reading of the DMA legal text, related EU instruments, and legal principles on competition and regulation.
• Comparative legal method: comparison of DMA features with existing national competition laws/regimes and international regulatory approaches to platform power.
• Supplementary approaches: review of secondary literature, policy papers, and (likely) stakeholder positions; may include case examples illustrating gatekeeper conduct and enforcement experience under comparable regimes.
• Empirical inputs (if any): relied on public EU thresholds, market metrics (user counts, revenues) as benchmark examples for gatekeeper designation; not an empirical econometric study.

Implications for AI Economics

• Data access and model training

  • DMA-style data‑access and portability obligations can lower barriers for AI entrants by improving access to user and behavioral data needed for training and personalization, increasing competition in AI model development.
  • Restrictions on combining personal data across services force gatekeepers to limit aggregation advantages, potentially reducing data monopolies that favor incumbent AI systems.

• Interoperability and market entry

  • Mandated interoperability (APIs, open standards) enables third-party AI services and agents to interoperate with platform ecosystems, encouraging modular competition and faster diffusion of specialized AI tools.
  • Non‑discrimination obligations reduce gatekeepers' ability to prioritize their own AI products, improving market space for independent AI innovation.

• Innovation incentives and concentration

  • Ex ante constraints could reduce incumbents' ability to leverage platform rents to subsidize risky AI R&D, potentially slowing some large-scale innovation but also preventing anti‑competitive foreclosure that hinders startup innovation.
  • Well-calibrated rules encourage diversified investment across competing AI efforts rather than concentration around platform-controlled models.

• Regulatory fragmentation & compliance costs

  • Divergent national gatekeeper rules can raise compliance costs for multinational AI firms and complicate cross-border data flows and model deployment; alignment or mutual recognition mechanisms matter for efficient AI markets.
  • Smaller firms may need support (technical, financial) to implement interoperability and compliance features demanded by gatekeeper rules.

• Transparency & accountability

  • DMA-style requirements on ranking, recommendations, and advertising metrics increase visibility into AI-driven platform decisions, supporting audits, research, and better economic governance of algorithmic effects.

Policy-relevant AI-economic trade-offs - Balance between opening data/markets and preserving incentives for platform-led AI investment. - Design of access obligations should protect privacy and trade secrets while enabling competitive AI development. - Support mechanisms (grants, shared data infrastructures, sandboxes) can complement regulation to foster domestic AI competition.

Policy Suggestions for Vietnam (practical orientation)

• Adopt a tailored gatekeeper regime inspired by the DMA with the following elements:
  • Clear definition and thresholds calibrated to Vietnam's market size (local revenues, active user numbers in Vietnam, or market share metrics). Use phased thresholds to avoid capturing nascent firms.
  • Specify covered CPS categories relevant to the domestic market (e.g., local social platforms, app stores, e‑commerce marketplaces, ad networks, cloud services).
  • Core obligations: require non‑discriminatory treatment of business users, data portability, interoperability where technically feasible, transparent ranking and ad metrics, and restrictions on tying/platform bundling.
  • Data access rules: mandate fair, proportionate, and privacy‑compliant access to platform‑derived data for business users and bona fide competitors; include safeguards for personal data and trade secrets.
  • Enforcement architecture: establish or empower a specialized digital markets regulator or a dedicated unit within competition authority with technical expertise in platforms and AI; include powers for rapid provisional measures and tailored remedies.
  • Proportionality and phased implementation: apply major obligations first to the most dominant platforms and allow transitional arrangements, compliance guidance, and regulatory sandboxes.
  • Support for SMEs and startups: provide guidance, technical toolkits, and possibly financial/technical assistance to comply with interoperability standards and to leverage new access rights.
  • Alignment with existing laws: ensure consistency with competition law, data protection, consumer protection, and sectoral regulations; build cross‑agency coordination mechanisms.
  • International coordination: engage with the EU, ASEAN partners, and other jurisdictions to align standards, minimize fragmentation, and facilitate cross‑border enforcement.
  • Monitoring and review: include explicit review clauses to adapt thresholds, obligations, and scope based on market evolution, AI developments, and enforcement experience.

Overall recommendation - Use the DMA as a strong template but localize thresholds, implement a technically capable enforcement authority, pair ex ante rules with supporting measures for innovation and data privacy, and pursue international cooperation to maximize benefits for competitive, AI‑enabled digital markets in Vietnam.