Montana Right to Compute Act and Digital Rights Law 2025

Background: The Rise of Digital Rights Legislation

The past several years have seen a surge in U.S. state legislation addressing digital rights, computational freedom, and artificial intelligence (AI) oversight. As AI and computational tools become foundational to both daily life and critical infrastructure, policymakers have struggled to balance innovation with safety, privacy, and civil liberties.

By 2026, over 20 U.S. states have enacted or are considering comprehensive privacy and data protection laws, many of which also touch on algorithmic bias, AI transparency, and user rights to digital tools (Built In, Multistate Insider). However, Montana’s Right to Compute Act (MRTCA) stands out as the first U.S. law to explicitly enshrine computational rights as a constitutional-level guarantee, setting a precedent for digital liberty in the AI era.

Overview: Montana Right to Compute Act (2025)

On April 17, 2025, Montana Governor Greg Gianforte signed Senate Bill 212—the Montana Right to Compute Act—into law, making Montana the first state to explicitly affirm the right to access, own, and use computational resources, including AI and software tools, as a fundamental right of property and free expression (RightToCompute.ai).

The act was championed by Senator Daniel Zolnikov, with support from the grassroots organization RightToCompute.ai and think tanks such as the Frontier Institute. The legislation arrives in contrast to failed or heavily amended efforts in California (SB1047), Virginia (HB 2094), and New York (A6453 RAISE Act), where regulatory frameworks focused more on AI risk, ethics, and restriction than digital freedom.

Key Provisions of the Montana Right to Compute Act

• Explicit Right to Compute: All individuals and businesses in Montana have the legally protected right to own, access, and use computational and AI tools.
• Strict Standard for Restrictions: Any government regulation restricting this right must be “demonstrably necessary and narrowly tailored to fulfill a compelling government interest in public health or safety”—the highest scrutiny standard in Montana law.
• AI-Controlled Critical Infrastructure: For any AI system controlling critical infrastructure, the law requires:
  • A shutdown mechanism allowing reversion to human control within a reasonable timeframe.
  • Annual risk management reviews including fallback procedures and mitigation plans.
• Promotion of Decentralization: The act encourages decentralization and user-owned AI, explicitly aiming to prevent monopolistic or centralized control by corporations or governments.

The law’s text and policy notes emphasize that computation is a modern extension of human thought and expression—akin to the property and speech rights at America’s founding. The act is also designed to “future-proof” digital rights against both government and corporate overreach (Mackinac Center).

Contrast with Other States

California’s SB1047, for example, focused on risk management and broad state oversight but was vetoed. Virginia and New York pushed for AI ethics boards and transparency mandates, but without foundational rights guarantees. In Montana, by contrast, the burden is on regulators to justify any restriction, not on citizens to prove their use is legitimate.

Compliance Requirements and Implementation Guidance

If you operate in Montana (or serve Montana residents), compliance with the MRTCA is not optional. Below is a framework-driven approach to meeting the act’s requirements—with references to applicable standards like GDPR, ISO 27001, SOC 2, and NIST CSF where relevant.

Implementation Checklist

• Asset and Technology Inventory
  ISO 27001 A.8; NIST CSF ID.AM
  • Document all hardware, software, AI, and cloud resources used or offered to users.
  • Review asset management policies to ensure they do not restrict lawful user access.
• Policy and Procedure Updates
  ISO 27001 A.5, A.18; SOC 2 CC1.2, CC6.1
  • Update acceptable use, privacy, and access control policies to explicitly affirm user computational rights.
  • Ensure any planned restrictions (e.g., geofencing, throttling) are legally justified and documented.
• AI Safety and Fallback Controls
  NIST CSF PR.IP-12, PR.PT; SOC 2 CC7.2

  One ring to rule them all. 

  J. R. R. Tolkien

  One Cloud Storage to Share with Them All: China, USA, Europe, APAC…

  Sesame Disk by NiHao Cloud

  • For AI in critical infrastructure, implement a “big red button” or equivalent system for human override.
  • Conduct and document annual risk reviews (threat modeling, incident response drills, fallback mechanism tests).
• Training and Awareness
  ISO 27001 A.7.2.2; NIST CSF PR.AT
  • Educate staff, engineering, and compliance teams on Montana computational rights and required procedures.
• Cloud and Vendor Compliance
  SOC 2 CC9.2; ISO 27001 A.15
  • Review cloud service provider (CSP) contracts and shared responsibility models for alignment with MRTCA user rights.
  • Deploy Cloud Security Posture Management (CSPM) and Cloud Access Security Broker (CASB) solutions to monitor enforcement and prevent shadow IT restrictions.
• Legal and Regulatory Review
  • Engage legal counsel to validate that all restrictions are “narrowly tailored” and “demonstrably necessary.”
  • Document rationales for any limitations, including risk assessments and regulatory triggers.

Implementation Timeline Estimates:

• 0-2 Months: Asset inventory, initial policy review, and AI control gap assessment.
• 2-5 Months: Deploy AI override and risk review mechanisms, update training programs.
• 5-8 Months: CSPM/CASB deployment, vendor risk review, and full audit preparation.

Audit Preparation and Common Findings

• Incomplete asset inventories or undocumented AI deployments.
• Missing or outdated risk management procedures for AI-controlled infrastructure.
• Policies that unduly restrict lawful computation, such as blanket device bans or algorithmic throttling without justification.
• Lack of documented legal review for restrictions imposed “in the public interest.”

While there are no published enforcement actions or penalty amounts as of March 2026, legal experts expect any government or business restriction on computational use to be challenged under strict scrutiny, with the potential for injunctions and liability if not justified.

How Montana Compares: State and Federal Digital Rights Laws

The following table compares key elements of Montana’s Right to Compute Act with selected state and federal digital rights and AI laws:

For reference, GDPR enforcement has resulted in fines exceeding €1.5 billion since 2018, with individual penalties up to €746 million (Built In). U.S. state penalties, while lower, are trending upward as privacy and AI laws proliferate.

Enforcement Trends, Pitfalls, and Industry Impact

As of early 2026, Montana’s Right to Compute Act has not yet been the subject of formal court enforcement or regulatory fines. However, legal analysts expect the act to be invoked in challenges to any:

• State or local bans on specific computational tools or AI applications.
• Overly restrictive corporate device management or algorithmic throttling that impacts lawful user activity.
• Failures by organizations to provide required AI infrastructure safety mechanisms.

Organizations should anticipate that any computational restriction must be defensible under “strict scrutiny.” Regulatory and civil actions are likely if:

• No documented, compelling public health/safety rationale exists for the limitation.
• Risk management for critical AI infrastructure is missing or incomplete.
• Cloud/shared responsibility models restrict user computational rights beyond what is legally justified.

Common Compliance Pitfalls

• Asset Blind Spots: Untracked AI deployments, shadow IT, or undocumented third-party integrations create audit risk.
• Overbroad Policy Controls: Blanket bans or throttling rules applied without legal review may violate MRTCA.
• Insufficient Incident Response: Lacking “human override” for critical AI or failing to test fallback procedures.
• CSP/Vendor Lock-in: Cloud providers who restrict user compute access or fail to support user-owned AI can create compliance gaps under the shared responsibility model.

Industry and National Impact

Montana’s leadership has energized digital rights advocates and inspired legislative copycats. New Hampshire, for example, is pursuing a constitutional amendment with similar computational freedom language. Industry observers expect the trend toward explicit digital rights to continue as AI becomes further embedded in infrastructure and daily life (Montana Newsroom).

For CISOs, DPOs, and compliance professionals, the message is clear: future-proof your compliance program by aligning with both digital rights and AI safety requirements, using established frameworks (ISO, SOC 2, NIST CSF) as scaffolding. Early investments in asset visibility, policy modernization, AI risk management, and cloud governance will pay dividends as enforcement ramps up.

Key Takeaways:

• Montana’s Right to Compute Act is the first law to constitutionally enshrine the right to own and use computational and AI tools, with strict limits on government or corporate restriction.
• Compliance requires policy, risk management, technical, training, and cloud governance updates, validated by legal review and supported by frameworks like ISO 27001, NIST CSF, and SOC 2.
• AI systems controlling critical infrastructure must have human override (“shutdown”) and annual risk review mechanisms.
• Enforcement will likely center on overly broad restrictions, missing AI safeguards, and cloud/vendor lock-in that violates user rights.
• Montana’s approach could set national and global precedents for digital rights in the AI era.

For further reading and compliance resources, see:

• RightToCompute.ai: Montana Governor Signs Right to Compute Act
• Built In: 12 Tech Laws Taking Effect in 2026
• Montana Newsroom: Right to Compute Coverage