EU Targets Addictive Design, Forced Arbitration Clouds AI

The European Commission announced plans in May 2026 to regulate “addictive design” features on platforms including TikTok and Instagram, with EU Commission President Ursula von der Leyen stating that formal regulation is expected later this year. The move arrives as corporate legal teams across multiple jurisdictions are racing to build AI-driven compliance infrastructure — and as a new book argues that buried terms-of-service clauses are quietly stripping consumers of legal rights in the digital economy.

EU Moves Against Social Platform Design

According to CNBC, the European Commission is preparing targeted rules against design patterns on social media platforms that are engineered to maximize engagement among minors. Von der Leyen’s comments signal that the EU intends to act before the end of 2026, extending the regulatory momentum that produced the Digital Services Act and the AI Act.

The specific features under scrutiny — infinite scroll, autoplay, algorithmic content feeds calibrated for compulsion — have been documented in platform-design research for years. The EU’s framing of these as “addictive design” marks a shift from treating them as neutral product choices to treating them as potential regulatory violations.

Governments outside Europe are tracking similar ground. CNBC reported that legislation to protect children from social media harms is under active consideration across multiple jurisdictions, though no comparable federal bill has cleared the U.S. Congress as of mid-2026. Meta and ByteDance, the parent companies of Instagram and TikTok respectively, face the most direct exposure under the EU’s proposed framework.

The timing matters: the EU AI Act’s risk-classification provisions are already entering phased enforcement, and a separate addictive-design regulation would add another compliance layer for platforms that use algorithmic recommendation systems — systems the AI Act also touches.

Forced Arbitration: The Legal Trap Inside Every Terms of Service

While regulators focus on platform behavior, a parallel legal problem sits inside the fine print of nearly every digital product. Brendan Ballou, founder of the Public Integrity Project and author of the forthcoming When Companies Run the Courts, argues in a conversation with The Verge that forced arbitration clauses have become a near-universal mechanism for insulating tech companies from class-action liability.

The structure is consistent across products: by accepting terms of service — which is unavoidable for most software and digital services — users waive their right to join class-action suits. Any dispute must instead go to private arbitration, a process Ballou describes as systematically favoring companies over individual claimants.

The practical consequence for AI regulation is significant. As AI-powered products proliferate, users harmed by algorithmic decisions — denied credit, flagged incorrectly by facial recognition, subjected to discriminatory pricing — may find that forced arbitration clauses block the class-action route that has historically been the most effective check on corporate misconduct at scale.

Ballou’s previous book, Plunder, examined private equity’s role in American industry. His new work extends that analysis to the legal infrastructure companies use to manage liability — an infrastructure that will interact directly with whatever AI compliance obligations regulators eventually impose.

In-House Legal Teams Deploy AI for Compliance

Corporate legal departments, long regarded as technology laggards, are now among the more aggressive adopters of AI tools — particularly for regulatory compliance work.

The Financial Times reported that Westpac‘s legal team won an internal competition launched by CEO Anthony Miller in 2025 by pitching an AI tool that extracts incident data and compliance questions to identify emerging regulatory risks. The tool has since received funding and is in early-stage implementation.

Petra Stirling, director of operations, risk and transformation for Westpac legal, told the FT that “legal is one of the leading teams in terms of both volume of [AI] agents and the value that they deliver” — a notable reversal from the department’s traditional reputation for tech skepticism. Stirling also noted that “predictive analytics is not normally the role that legal plays in corporate organisational risk and compliance management,” framing the initiative as a structural expansion of what in-house counsel does.

The Westpac case appears in the 2026 FT Innovative Lawyers Asia-Pacific report alongside several other in-house teams deploying AI for compliance, contract review, and risk modeling. The pattern is consistent: legal departments that historically reacted to regulatory change are now attempting to anticipate it.

Law Firms Rebuild Delivery Models Around AI

External law firms are undergoing a parallel shift. According to the FT’s Asia-Pacific Innovative Lawyers case studies, King & Wood Mallesons — recently demerged from its prior international structure — has made AI integral to core practice delivery, including checking draft documents against term sheets, producing compliance reports, and streamlining merger notifications.

The FT’s ranking methodology scored firms on originality, leadership, and impact. King & Wood Mallesons received a total score of 25 out of 27 across those categories, with perfect scores on leadership and impact, reflecting evaluators’ view that the integration is substantive rather than cosmetic.

Other firms in the report are experimenting with AI-assisted legal design, knowledge management, and automated regulatory monitoring. The common thread is that compliance work — previously billed by the hour for manual document review — is being restructured around tools that compress time and reduce per-task cost.

For clients navigating the EU AI Act, the DSA, and incoming addictive-design rules simultaneously, that compression matters. The volume of regulatory text and the pace of enforcement guidance have outrun what manual legal review can absorb at reasonable cost.

The CISO Parallel: Regulation Creates Roles

The trajectory of AI regulation echoes a pattern that played out in cybersecurity over the past two decades. Dark Reading’s 20th anniversary retrospective traces how the chief information security officer role evolved from a narrow technical function into a board-level position covering business resilience, compliance, brand protection, and national security — driven in large part by regulatory pressure and high-profile liability events.

The same dynamic is visible in AI governance. Companies that once treated AI ethics as a communications function are now hiring dedicated AI compliance officers, building internal audit processes, and engaging external counsel on regulatory exposure. The EU AI Act’s requirement for conformity assessments on high-risk AI systems — covering areas like credit scoring, employment screening, and critical infrastructure — creates a compliance surface that resembles, in structure if not in technical detail, what GDPR created for data protection.

Whether a distinct “Chief AI Officer” role consolidates in the way the CISO did remains an open question. But the regulatory pressure creating demand for that function is now clearly in place.

What This Means

The three threads running through this week’s legal and regulatory news — EU platform regulation, forced arbitration in digital terms of service, and AI adoption inside legal departments — are not separate stories. They converge on a single question: who bears liability when AI-powered systems cause harm, and through what legal mechanism can that liability be enforced?

The EU is answering part of that question by extending its regulatory perimeter to cover algorithmic design choices, not just data handling. But if companies simultaneously embed forced arbitration clauses in the terms of service governing AI products, the practical ability of individual users to seek redress may remain limited regardless of what regulations exist on paper.

In-house legal teams deploying predictive compliance AI are, in effect, betting that anticipating regulatory risk is cheaper than absorbing enforcement penalties after the fact. That bet looks increasingly rational as the EU’s enforcement machinery — which has already issued multi-billion-euro fines under the GDPR — begins to turn toward AI-specific rules. The legal profession’s AI adoption is not incidental to the regulation story; it is the compliance industry’s direct response to it.

FAQ

What is the EU’s proposed regulation on addictive design?

The European Commission, under President Ursula von der Leyen, has announced plans to regulate design features on social media platforms — such as infinite scroll and algorithmic content feeds — that are engineered to maximize engagement, particularly among minors. According to CNBC, formal regulation is expected to be introduced before the end of 2026, with TikTok and Instagram among the primary targets.

What is forced arbitration and how does it affect AI product users?

Forced arbitration clauses, embedded in terms of service agreements, require users to resolve disputes with companies through private arbitration rather than class-action lawsuits. Brendan Ballou, author of When Companies Run the Courts, told The Verge that these clauses are now near-universal in digital products, meaning users harmed by AI-driven decisions — such as algorithmic discrimination — may have limited legal recourse even as new AI regulations come into force.

How are corporate legal teams using AI for regulatory compliance?

Several in-house legal departments, including Westpac‘s team in Australia, are deploying AI tools to extract compliance data, identify emerging regulatory risks, and predict legal exposure before incidents occur. The Financial Times reported that Westpac’s legal AI initiative won an internal innovation competition in 2025 and is now in early-stage implementation, with the team described as one of the leading AI adopters across the entire organization.