Loot boxes, influencers, and addictive features face an EU crackdown

by | Nov 11, 2026 | Technology

Loot boxes, influencers, and addictive features face an EU crackdown

The European Union Commission introduced a draft Digital Fairness Act on Wednesday designed to restrict practices it characterizes as exploitative across gaming, social media, and e-commerce platforms. The legislation targets deceptive pricing, misleading availability claims, addictive design mechanics, and undisclosed influencer marketing arrangements that encourage excessive consumer spending and engagement.

According to the EU Commission, the proposal will shield consumers across all age groups while promoting fairer competition among businesses. Officials estimated the regulations could save EU consumers approximately €13.7 billion ($15.1 billion) annually. The act’s scope encompasses algorithmic recommendation systems on major platforms including YouTube, TikTok, and Meta, as well as artificial intelligence chatbots and mobile applications that employ persistent engagement tactics.

The draft proposal has already generated pushback from gaming industry organizations, which contend that restrictions on virtual currencies, loot boxes, and microtransaction offerings to minors are impractical and disproportionate to the stated objectives. The draft legislation will require approval from both the European Parliament and the Council of the European Union before becoming enforceable law, with the possibility that current provisions may be modified or eliminated during the legislative process.

Companies determined to have violated the regulations upon implementation could face penalties reaching six percent of their global annual revenue. EU Commissioner Michael McGrath characterized the initiative as bringing consumer protection standards into alignment with contemporary digital business practices, emphasizing that the rules target unfair competitive conduct rather than legitimate commercial activity.

Article Attribution | Read More at Article Source

Article summary produced by Claude AI