How is AI regulated compared with other industries?
AI rules are newer and less settled than rules in older industries, with the EU using one broad law and the US a shifting mix.
Covers: This page compares approaches to AI regulation with those used in other sectors such as pharmaceuticals, aviation, finance and data protection. It covers major frameworks like the EU AI Act and risk-based rules, but does not give legal advice or predict future legislation.
Also answers: How does AI regulation compare to other industries? · Is AI regulated like other sectors? · AI regulation vs other industries · How is artificial intelligence governed compared with other fields?
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The short answer
Interpretation AI-prepared starting mapAI regulation is newer and less settled than regulation in established sectors. The EU adopted a common legal framework for AI in 2024 with the AI Act, the first broad statutory regime of its kind, while the United States relies on a mix of executive orders, federal sector-specific rules and state laws that has shifted with each administration. Elsewhere…123
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The evidence behind it
6 sources- Other studies and data3
- Background3
Published in 2026
| Source | Kind | Year |
|---|---|---|
| AI is less regulated than milk, says Microsoft president | Background | 2026 |
| Algorithmic governance at work: a legal-sociological and policy analysis of AI regulation, institutional power and labor rights. | Other studies and data | 2026 |
| High-risk without safeguards? The EU AI Act and the push for deregulation of medical AI. | Other studies and data | 2026 |
| Navigating regulatory fragmentation in the convergence of synthetic biology, artificial intelligence, and automation. | Other studies and data | 2026 |
| Regulation of artificial intelligence (Wikipedia) | Background | Unknown |
| Regulation of artificial intelligence in the United States (Wikipedia) | Background | Unknown |
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Across Europe, the Americas and the Asia-Pacific, AI regulation increasingly converges on human rights and data protection, risk-based oversight and accountability, especially at work.4
Evidence-backedWhere AI meets an older regime, the fight is over which rules govern: a proposed EU reform would keep medical AI classified as high-risk while removing most AI Act obligations attached to that label.3
Evidence-backedWhen several regimes apply to one activity, as with synthetic biology plus AI plus automation, the regulatory burden compounds rather than simply adding up.5
Evidence-backedThe claim that AI is less regulated than milk is a call for global rules from a technology executive, not a measured comparison of regimes.6
Interpretation
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If you work in HR or manage people whose decisions are AI-assisted
the frameworks most likely to bind you are the ones on transparency, non-discrimination, human oversight and civil liability for employee rights, which the cross-regional review finds are converging.4
Evidence-backedIf you build or deploy AI-enabled medical devices in the EU
watch the relationship between the AI Act and medical device law, because the proposed reform would keep the high-risk label while removing most AI Act obligations on data governance, risk management, human oversight and postmarket monitoring.3
Evidence-backedIf your research combines synthetic biology, AI and automation
expect friction from biosecurity, AI governance, export control and data sovereignty rules at once, and plan for it as multiplicative rather than additive.5
Evidence-backedIf you operate in the United States
track both federal executive orders and state AI laws, since federal policy has reversed once already and Executive Order 14365 directs agencies to evaluate and challenge state laws while exempting child safety, data centre infrastructure and state procurement rules.2
Evidence-backedThe full explanation
Interpretation AI-prepared starting mapAI regulation is newer and less settled than regulation in established sectors. The EU adopted a common legal framework for AI in 2024 with the AI Act, the first broad statutory regime of its kind, while the United States relies on a mix of executive orders, federal sector-specific rules and state laws that has shifted with each administration. Elsewhere, AI is governed mainly through ethics guidelines and principles rather than enforceable rules. Where AI meets older regimes, such as medical device law, the two overlap and can pull in different directions.123
- Evidence 14
- Interpretation 7
The full story · 4 chapters
01
The main AI frameworks and how they differ
AI summary:The EU adopted one broad AI law in 2024, while the US relies on executive orders, sector rules and state laws that change with each administration.
Evidence-backed: The European Union adopted a common legal framework for AI in 2024 with the AI Act. Regulation of AI more broadly is described as the development of public sector policies and laws for promoting and regulating AI, and as an emerging issue in jurisdictions worldwide, including for international organisations without direct enforcement power such as the IEEE and the OECD. Since 2016 numerous AI ethics guidelines have been published in order to maintain social control over the technology, and organisations deploying AI are described as having a central role in creating and implementing trustworthy AI, adhering to established principles and taking accountability for mitigating risks.1
Evidence-backed: In the United States, the federal government and state governments have developed some regulation of AI, including executive orders, federal laws and state laws, and federal agencies have developed some sector-specific regulations related to AI. The Biden administration released an October 2023 executive order on AI safety and security, Executive Order 14110. President Trump revoked that order in January 2025 and issued Executive Order 14179. In December 2025, President Trump signed Executive Order 14365, directing federal agencies to develop a unified national approach to AI policy, evaluate state AI laws for potential conflicts, challenge them through legal action, and condition certain federal funding on state compliance, while exempting state laws related to child safety, data centre infrastructure and state government procurement. In 2025 Congress passed the TAKE IT DOWN Act targeting AI-generated deepfakes, and several states have enacted AI-related laws, some already in effect, including in California.2
Interpretation: The contrast is between a single broad statutory framework in the EU and a layered, fast-changing mix in the US of executive orders, sector rules and state statutes, with federal pressure on state laws. Older sectors such as medical devices already have their own product-focused regimes, so AI rules sit alongside them rather than replacing them.123
02
Cross-cutting themes: risk, rights and accountability
AI summary:Across three world regions, AI regulation increasingly converges on human rights and data protection, risk-based oversight and accountability, especially at work.
Evidence-backed: A legal-sociological and policy analysis of AI regulation across Europe, the Americas and the Asia-Pacific finds that AI regulation is increasingly organised around six dimensions: protection of human rights and data privacy in the workplace; governance frameworks addressing reskilling, job transformation and adaptation to AI-driven work models; risk-based oversight of AI systems; AI civil liability regimes affecting employee rights and HR practices; promotion of ethical AI to foster trust and mitigate bias; and strengthened monitoring, accountability and non-discrimination mechanisms. Legal frameworks emphasise transparency, non-discrimination and the need for human oversight in AI-powered workplace decisions.4
Interpretation: Risk-based governance is the common thread running through both AI-specific rules and the sectors AI touches. The same review describes AI regulation across three world regions as increasingly intersecting around human rights and personal data protection, risk-based governance and accountability mechanisms, particularly in employment.4
03
Where AI rules meet older sector rules
AI summary:Where AI meets older sector rules, the real question is which regime governs and whether AI-specific safeguards survive the handover.
Evidence-backed: A narrative review of the EU's Health Innovation Package and related legislative developments under the EU simplification agenda examines how the AI Act relates to medical device law. It reports that the proposed reform would retain the high-risk classification of AI-enabled medical devices while removing most associated AI Act obligations. In effect this decouples risk classification from the safeguards that give it regulatory meaning, including requirements on data governance, risk management, human oversight and postmarket monitoring. Rather than resolving regulatory overlap, the review argues, the amendments shift the centre of gravity back to product-focused medical device law without ensuring equivalent AI-specific safeguards. The review states these changes may narrow attention to fundamental rights, weaken oversight in clinical use and increase legal uncertainty regarding accountability and responsibility.3
Evidence-backed: A cross-jurisdictional analysis across sixteen nations looks at the convergence of synthetic biology, AI and automation, activities that simultaneously engage biosecurity, AI governance, export control and data sovereignty frameworks, none of which are designed for convergent science. It identifies critical ambiguities where novel objects fall between established regulatory categories, and through seven realistic collaboration scenarios demonstrates that regulatory friction is multiplicative rather than additive. The authors propose a seven-lens institutional framework, the SynBioxAI Regulatory Interoperability Toolkit (RIOT), to help research institutions navigate regulatory divergence.5
Interpretation: These two cases point in the same direction: where AI is used inside a sector that already has its own regulator and rules, the practical question is not whether AI is regulated but which regime governs, and whether the AI-specific safeguards survive the handover. The medical device case suggests safeguards can be dropped while the risk label stays; the synthetic biology case suggests that when several regimes apply at once, the burden compounds rather than adds up.35
04
How AI compares with other regulated industries
AI summary:A technology executive's claim that AI is less regulated than milk is a call for global rules, not a measured comparison of regimes.
Evidence-backed: The Microsoft president Brad Smith called for global rules on AI and said the UK is in the "best position" to lead the charge, arguing that AI is less regulated than milk.6
Interpretation: Taken at face value, the comparison is about maturity rather than kind: milk, pharmaceuticals and aviation have long-standing product and safety regimes with inspection and liability built in, while AI rules are recent, uneven across jurisdictions and in some places still voluntary. The evidence here supports the direction of that claim but not its precision, since no source sets out the milk, pharmaceutical or aviation regimes in comparable terms.61
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What to remember
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The EU has the first broad statutory AI framework, adopted in 2024; the US relies on executive orders, sector rules and state laws that change with each administration.
Across Europe, the Americas and the Asia-Pacific, AI regulation increasingly converges on human rights and data protection, risk-based oversight and accountability, especially at work.
Where AI meets an older regime, the fight is over which rules govern: a proposed EU reform would keep medical AI classified as high-risk while removing most AI Act obligations attached to that label.
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Sources
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- 1Regulation of artificial intelligence (Wikipedia)WikipediaPublished Oct 12, 2026Checked Oct 13, 2026
“Regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI). The regulatory and policy landscape for AI is an emerging issue in jurisdictions worldwide, including for international organizations without direct enforcement power like the IEEE or the OECD. Since 2016, numerous AI ethics guidelines have been published in order to maintain social control over the technology. Furthermore, organizations deploying AI have a central role to play in creating and implementing trustworthy AI, adhering to established principles, and taking accountability for mitigating risks. The European Union adopted in 2024 a common legal framework for AI with the AI Act. AI governance is a term used in policy, industry, and academic contexts to describe how AI systems are directed and overseen. A 2025 systematic literature review defined it as encompassing the questions of who is accountable for AI systems, what elements are governed, when governance occurs within the development lifecycle, and how it is implemented through frameworks, tools, or models.”
- 2Regulation of artificial intelligence in the United States (Wikipedia)WikipediaPublished Oct 12, 2026Checked Oct 13, 2026
“The United States federal government and state governments have developed some regulation of artificial intelligence, including executive orders, federal laws, and state laws. Federal agencies have also developed some sector-specific regulations related to AI. At the federal level, the Biden administration released an October 2023 executive order about AI safety and security, Executive Order 14110, with directives related to AI development and deployment. President Trump revoked that executive order in January 2025 and issued Executive Order 14179. In December 2025, President Trump signed Executive Order 14365, an executive order directing federal agencies to develop a unified national approach to AI policy, evaluate state AI laws for potential conflicts, challenge them through legal action, and condition certain federal funding on state compliance, while exempting state laws related to child safety, data center infrastructure, and state government procurement. In 2025, Congress passed legislation targeting AI-generated deepfakes, the TAKE IT DOWN Act. Several U.S. states have enacted laws related to artificial intelligence. Some are already in effect, including in California.”
- 3High-risk without safeguards? The EU AI Act and the push for deregulation of medical AI.BMJ digital health & AI (Van et al.)Published Sep 30, 2026Checked Oct 13, 2026
“This narrative review analyses the Health Innovation Package and related legislative developments under the EU simplification agenda and examines their impact on the relationship between the AI Act and medical device law. It shows that the proposed reform would retain the high-risk classification of AI-enabled medical devices while removing most associated AI Act obligations. In effect, this decouples risk classification from the safeguards that give it regulatory meaning, including requirements on data governance, risk management, human oversight and postmarket monitoring. Rather than resolving regulatory overlap, the amendments shift the centre of gravity back to product-focused medical device law without ensuring equivalent AI-specific safeguards. These changes may narrow attention to fundamental rights, weaken oversight in clinical use and increase legal uncertainty regarding accountability and responsibility. In a domain where AI systems directly shape clinical decisions and patient outcomes, these changes risk undermining the conditions for safe, equitable and accountable deployment of medical AI.”
- 4Algorithmic governance at work: a legal-sociological and policy analysis of AI regulation, institutional power and labor rights.Frontiers in sociology (Olimid et al.)Published Aug 19, 2026Checked Oct 13, 2026
“The results indicate that AI regulation across Europe, the Americas, and the Asia-Pacific is increasingly intersecting around human rights and personal data protection, risk-based governance, and accountability mechanisms, particularly in the employment environment. Legal frameworks emphasize transparency, non-discrimination, and the need for human oversight in AI-powered workplace decisions.ConclusionThe conclusions highlight that across Europe, the Americas and the Asia-Pacific, AI regulation is increasingly organized around six dimensions: protection of human rights and data privacy in the workplace; governance frameworks addressing reskilling, job transformation and adaptation to AI-driven work models; risk-based oversight of AI systems; AI civil liability regimes affecting employee rights and HR practices; promotion of ethical AI to foster trust and mitigate bias; and strengthened monitoring, accountability and non-discrimination mechanisms.”
- 5Navigating regulatory fragmentation in the convergence of synthetic biology, artificial intelligence, and automation.Nature communications (McLennan et al.)Published Aug 29, 2026Checked Oct 13, 2026
“The convergence of synthetic biology, artificial intelligence (AI), and automation (SynBioxAI) creates research activities that simultaneously engage biosecurity, AI governance, export control, and data sovereignty frameworks - none of which are designed for convergent science. We conduct a comprehensive cross-jurisdictional analysis of this regulatory landscape across sixteen nations, identifying critical ambiguities where novel SynBioxAI objects fall between established regulatory categories. Through seven realistic collaboration scenarios, we demonstrate that regulatory friction is multiplicative rather than additive. We propose the SynBioxAI Regulatory Interoperability Toolkit (RIOT): a practical, seven-lens institutional framework that gives research institutions the capacity to navigate regulatory divergence efficiently and transparently.”
- 6AI is less regulated than milk, says Microsoft presidentBBC NewsPublished Oct 12, 2026Checked Oct 13, 2026
“Brad Smith calls for global rules on AI, and says the UK is in the "best position" to lead the charge.”
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Open questions
How do the actual rulebooks for pharmaceuticals, aviation and finance compare with the AI Act on inspection, licensing, liability and enforcement?
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What has the EU AI Act changed in practice since 2024, and how are its high-risk obligations being applied?
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What do the US state AI laws require, and how does federal preemption pressure under Executive Order 14365 affect them?
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If the EU retains high-risk classification for medical AI while removing most AI Act obligations, which safeguards remain and who enforces them?
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Does the multiplicative friction described for synthetic biology, AI and automation also apply to other converging fields?
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