Anthropic has implemented an unusual corporate structure called the Long-Term Benefit Trust (LTBT) to ensure that decisions about advanced AI systems prioritize humanity's long-term interests, not just shareholder returns. The trust, comprising five independent trustees, will eventually control a majority of the company's board and can veto decisions that pose catastrophic risks or compromise safety standards. This governance experiment reflects Anthropic's belief that artificial intelligence creates unprecedented externalities, or spillover effects, that traditional corporate structures are ill-equipped to handle .

Why Did Anthropic Feel Traditional Corporate Governance Was Insufficient?

Most large corporations in the United States operate under a straightforward principle: the board of directors answers to shareholders, and directors are legally accountable for maximizing shareholder value. This structure works reasonably well for many industries, but Anthropic's leadership argues that AI development presents a fundamentally different challenge. The company believes that advanced AI systems could create enormous externalities, ranging from national security risks to large-scale economic disruption to potential threats to humanity itself, alongside potential benefits to human safety and health .

Externalities are costs or benefits imposed on third parties who didn't consent to a transaction. A factory's pollution affects nearby residents who didn't buy the factory's products; a bank's risky behavior can trigger systemic financial crises affecting the entire economy. Similarly, Anthropic argues, AI systems developed by one company can affect billions of people who have no contractual relationship with that company and no way to negotiate the terms of those effects. Traditional corporate law doesn't adequately address these situations because it assumes directors should prioritize shareholders above all other stakeholders .

How Does the Long-Term Benefit Trust Actually Work?

The LTBT operates through a carefully designed structure that insulates its trustees from financial incentives while granting them real power. The trust holds a special class of stock, called Class T, that grants it authority to elect and remove board members according to time-based and funding-based milestones. Within four years, the trust will control a majority of Anthropic's board, ensuring that long-term safety and societal considerations carry weight in major decisions .

The five trustees bring expertise in AI safety, national security, public policy, and social enterprise. Their arrangements are designed to prevent financial conflicts of interest, meaning they have no stake in Anthropic's profitability or stock price. This independence is crucial; it allows them to push back on decisions that might maximize short-term shareholder returns but create long-term risks .

Anthropic also operates as a Delaware Public Benefit Corporation (PBC), which provides a legal foundation for this approach. A PBC is permitted by Delaware law to balance shareholder interests with a stated public benefit purpose. In Anthropic's case, that purpose is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. However, the company determined that PBC status alone wasn't sufficient; it provided legal permission to consider public interests but didn't create direct accountability to the public or align directors' incentives with humanity's interests .

• Trust Composition: Five independent trustees with backgrounds in AI safety, national security, public policy, and social enterprise, selected to avoid financial conflicts of interest.
• Board Control Timeline: The trust will elect an increasing number of board members, reaching a majority within four years of the governance structure's implementation.
• Protective Provisions: The Class T stock includes protective provisions requiring the trust to receive notice of certain actions that could significantly affect the company's mission or public benefit purpose.
• Investor Representation: A new director seat was created to ensure that Series C and subsequent investors have direct representation on the board, balancing the trust's influence.

What Decisions Will the Trust Actually Influence?

Anthropic is clear that the LTBT is not intended to micromanage day-to-day business decisions. For most routine operations, commercial success and public benefit align naturally. Building frontier AI models, the kind that power systems like Claude Opus, Claude Sonnet, and Claude Haiku, requires significant resources that commercial viability helps provide. Similarly, fostering a competitive market where multiple companies race to build safer AI systems depends on Anthropic being a viable competitor .

Instead, the trust is designed to focus on extreme scenarios and long-range decisions where shareholder interests and humanity's interests might diverge. For example, the trust could ensure that leadership carefully evaluates future models for catastrophic risks or implements nation-state level security measures, rather than prioritizing being first to market above all other objectives. The trust might also weigh decisions about deploying particular AI systems, considering both long-term and short-term externalities alongside financial interests .

Steps to Understanding Anthropic's Governance Innovation

• Recognize the Problem: Traditional corporate governance assumes directors should maximize shareholder value, but AI systems create spillover effects affecting people who aren't shareholders and can't negotiate terms.
• Understand the Solution: The LTBT creates an independent body with real power to influence board decisions, ensuring that long-term safety and societal considerations receive weight equal to financial returns.
• See the Precedent: Anthropic's approach combines Public Benefit Corporation status, which permits balancing public interests with shareholder returns, with a trust structure that creates direct accountability to the public interest.
• Anticipate the Impact: If successful, this model could influence how other AI companies structure their governance, potentially shifting the entire industry toward prioritizing long-term safety alongside commercial viability.

The governance experiment reflects a broader tension in AI development. Companies like Anthropic, led by CEO Dario Amodei, argue that the technology's rapid advancement has outpaced the legal and social norms that typically constrain high-risk industries. Laws and regulations governing AI remain nascent, leaving companies to self-regulate. The LTBT represents Anthropic's attempt to build accountability structures from within, before external regulation becomes necessary .

Whether this approach succeeds remains an open question. The trust structure is novel and untested; it's unclear how trustees will exercise their power in practice, or whether they'll have sufficient independence and expertise to make sound decisions about catastrophic risks. However, the experiment signals that at least one major AI company believes traditional corporate governance is inadequate for the stakes involved in developing transformative artificial intelligence. As AI systems become more powerful and their effects more far-reaching, other companies and regulators may look to Anthropic's model as a template for aligning corporate incentives with humanity's long-term interests.