Back to News
Market Impact: 0.55

Two years of DMA: does it really work?

AAPLGOOGLMETA
Regulation & LegislationAntitrust & CompetitionTechnology & InnovationCybersecurity & Data PrivacyArtificial Intelligence
Two years of DMA: does it really work?

The EU’s Digital Markets Act is under review two years after implementation, with the Commission citing successes such as greater browser choice and new interoperability features, including messaging across rival apps. The article also flags friction and compliance burdens for tech giants like Apple, Google, Meta, and WhatsApp, as well as continued shortcomings. Expansion of the rules to AI-linked devices could further broaden user choice, but the immediate read is a mixed regulatory outcome rather than a direct market catalyst.

Analysis

The first-order read is mildly negative for the large platforms, but the second-order effect is more important: the DMA is turning product design into a regulated distribution layer, which should advantage firms with strong default positions, lower switching costs, and more modular ecosystems. That creates a subtle winner set beyond the obvious defendants: app-store alternative distributors, browser/search challengers, identity/authentication layers, and enterprise software vendors that can route around consumer-platform gatekeepers. In practice, the economic damage to AAPL/GOOGL/META is less about direct fines and more about the slow leakage of monetizable friction: fewer default-driven conversions, weaker cross-app data advantages, and a gradual rise in customer acquisition costs across mobile channels. The market is likely underpricing the timing asymmetry. Near term, compliance costs and UX degradation are real but manageable; the bigger P&L risk emerges over 12-36 months if the Commission keeps expanding the framework into AI distribution and device choice. That would pressure the platforms at the point where AI assistants become the new default interface, meaning the battle shifts from search/social engagement to control of the on-device recommendation layer. If that layer gets regulated early, the incumbents lose a key compounding advantage before AI monetization fully matures. The contrarian view is that the headline risk may be overdone relative to revenue exposure: these are enormous businesses, and regulatory frictions often create moat reinforcement by making new entrants bear compliance too. The more investable angle is not a blanket short on the big three, but selective relative value against firms most dependent on default traffic and cross-service data synergy. The clearest catalyst would be an adverse Commission interpretation or a court ruling that widens the practical scope of interoperability and data portability, which could re-rate the group over months rather than days.