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AI is regulated, but not by one global law. As of 10 November 2026, the EU has the broadest economy-wide, risk-based AI statute; China applies an extensive set of technology-specific rules; and the United States relies on existing federal laws plus a growing patchwork of state requirements. The practical difference is timing: EU chatbot and synthetic-content transparency duties are already live, while the main duties for stand-alone high-risk systems such as hiring and credit scoring start on 2 December 2027.
For consumers, the most immediate effects are disclosures, content labels and some rights to challenge consequential automated decisions. For businesses, the first move is to inventory AI uses, identify where users are, and classify each system by its role and risk—not to assume that a law in the company’s home country is the only one that matters.
Is AI regulated, and where?
Yes, but unevenly: there is no global AI law. Rules vary from comprehensive statutes that classify systems by risk to narrower laws aimed at particular technologies or uses. Privacy, consumer-protection, equality, employment, product-safety and financial laws can also apply even where a country has no dedicated AI statute.
“AI regulation” is usually about how a system is used and what happens to people, not simply how its model was trained. Regulators focus on decisions such as who gets a job or loan, medical recommendations, whether someone is told they are speaking to a machine, and whether synthetic images, audio or video are labelled. Common duties include risk classification, human oversight, disclosure, monitoring and documentation tied to the system or model version.
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Purely personal use, controlled research and systems with no meaningful effect on rights or access to services are generally less likely to trigger the main business obligations. The details depend on the law and the use; “AI” is not a single legal category with one universal set of duties.
Which country has the strictest AI regulation in 2026?
The EU is the clearest answer if “strictest” means a single, horizontal, economy-wide AI law with risk tiers and very high potential fines. China can be harder to operate in because public-facing services may face filings, security assessments, content controls and dual labelling. Those are different kinds of regulatory pressure, so a single ranking can mislead.
The EU AI Act is the most comprehensive risk-based statute among the major economies covered here. South Korea and Vietnam also have comprehensive AI laws in force, while China uses a dense set of targeted rules rather than one AI Act. The United States has no federal AI statute, but states have enacted many binding laws for specific uses and providers.
Stanford HAI’s AI Index Report 2026 is reported by an October 2026 secondary source as counting 150 AI-related laws passed by US states in 2025, up from fewer than 10 in 2020. That count measures laws identified as AI-related, not how strict they are. A separate Stanford HAI count reports 25 national AI-related laws in the United States during 2016–2025 and 17 in South Korea; the figures should not be confused with a measure of regulatory burden.
What are the four main approaches to AI regulation?
Most regimes fit one of four broad models. A country may mix models, and China’s operational rules do not fit neatly into a simple “targeted law” label.
- Comprehensive, risk-based statutes: The EU, South Korea and Vietnam scale duties according to the system’s potential harm. The EU bans certain uses, imposes extensive controls on high-risk systems and requires limited transparency for some other uses.
- Targeted technology or use rules: China regulates areas such as generative AI, synthetic media, recommendation algorithms and human-like interactive services. US states have enacted narrower measures on hiring, chatbots, automated decisions, synthetic-content provenance and frontier-model safety.
- Promotion laws: Japan’s AI Promotion Act, fully in force from 1 September 2025, establishes a strategy headquarters and a duty to cooperate, but does not impose penalties. Taiwan is in the same broad family.
- Principles and existing regulators: The UK, US federal government, Australia and Singapore rely heavily on principles and established regulators. Privacy, discrimination, consumer, copyright, product-liability and online-safety laws still apply.
As of 2 November 2026, the Artificial Intelligence Regulations register counted three tracked comprehensive AI laws in force: those of the EU, South Korea and Vietnam. China has extensive sectoral rules, not a single comprehensive AI Act. Brazil’s proposed law had passed the Senate in December 2024 but was still awaiting a Chamber committee report as of September 2026.
Was the EU AI Act delayed?
Only the application dates for the main high-risk system requirements were delayed. Prohibitions, general-purpose AI obligations and Article 50 transparency requirements were not postponed; they are already in force as of 10 November 2026.
The AI Act, Regulation (EU) 2024/1689, entered into force on 1 August 2024. The Digital Omnibus on AI, Regulation (EU) 2026/1744, entered into force on 27 July 2026. It moved the dates for high-risk duties and made several other changes. The official recital says delayed standards and delayed national conformity-assessment arrangements had made the compliance burden heavier than expected.
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| Date | What it means | Status on 10 November 2026 |
|---|---|---|
| 2 February 2025 | Prohibited-practice rules and the original AI-literacy duty began. | In force |
| 2 August 2025 | General-purpose AI (GPAI) provider duties began, including technical documentation, a copyright policy and a training-data summary. Additional duties apply to systemic-risk models. | In force |
| 2 August 2026 | Article 50 transparency requirements began, including telling people when they interact with AI and marking or disclosing certain synthetic content. Commission fining powers over GPAI providers also began. | In force |
| 27 July 2026 | The Digital Omnibus entered into force. It shifted high-risk dates, changed the literacy duty and extended some paperwork relief. | In force |
| 2 December 2026 | The transition ends for machine-readable marking of generative systems already on the market; the explicit ban on systems generating non-consensual intimate material or child sexual abuse material begins. | Upcoming |
| 2 August 2027 | Member State AI regulatory sandboxes are due. | Upcoming |
| 2 December 2027 | Annex III stand-alone high-risk systems, including many hiring, education, credit and essential-service uses, become subject to the delayed high-risk obligations. | Upcoming |
| 2 August 2028 | High-risk AI embedded in regulated products under Annex I, including some medical-device and machinery uses, reaches its delayed date. | Upcoming |
The delay is not a compliance holiday. Hiring, credit and employee-evaluation systems still need risk management, data governance, logging, human oversight, registration and serious-incident reporting by 2 December 2027. Preparing those controls takes time, so a business using these systems should treat the period before that date as implementation time, not as permission to ignore the law.
What does the EU AI Act regulate?
It classifies AI uses by risk and assigns duties accordingly. The four practical tiers are prohibited, high-risk, transparency-related and minimal-risk; the category follows the use, not just the product label.
| Tier | General treatment | Examples |
|---|---|---|
| Unacceptable risk | Prohibited practices | Public-authority social scoring, manipulative subliminal techniques, and certain workplace emotion-recognition practices. From 2 December 2026, systems that generate non-consensual intimate material or child sexual abuse material are explicitly prohibited. |
| High-risk | Extensive controls before and after placing on the market | Recruitment and hiring, credit scoring, education assessment, access to essential services, biometrics, critical infrastructure, law enforcement and some AI used in regulated products such as medical devices. |
| Transparency-related | Tell people about certain AI interactions or label or disclose specified content | Chatbots, deepfakes, emotion-recognition systems and generative output. |
| Minimal risk | No AI-Act-specific duties for that category; codes of conduct are encouraged | Examples include spam filters, inventory tools and many games. |
For GPAI providers, obligations have applied since 2 August 2025. They include technical documentation, information for downstream providers, a copyright policy and a sufficiently detailed summary of training data. A model is presumed to present systemic risk above 1025 FLOPs of training compute; systemic-risk providers face additional adversarial-testing, incident-reporting and cybersecurity duties.
Providers and deployers must now support AI literacy among relevant staff rather than guarantee a particular level of literacy. Some documentation simplifications extend to small mid-cap enterprises: the relevant EU recommendation describes these as having fewer than 750 staff and up to €150 million in turnover or €129 million in balance-sheet total. A new Article 4a permits processing special-category data when strictly necessary to detect and correct bias, subject to safeguards. The Omnibus also clarifies the “safety component” definition so ordinary user-assistance features in a regulated product are not automatically high-risk.
Does the EU AI Act apply to companies outside the EU?
Yes. The Act can cover a company wherever it is established if it places an AI system on the EU market, puts one into service in the EU, deploys one in the EU, or supplies a system whose output is used in the EU. A non-EU hiring-tool vendor used by an EU employer may therefore have provider duties; a company outside Europe whose chatbot serves EU users may also be in scope.
The Act distinguishes providers—those that develop or place a system on the market or put it into service—from deployers, which use a system under their authority. Duties differ by role. Certain non-EU providers of high-risk systems and GPAI models must appoint an authorised representative in the EU.
Fines can be substantial. Article 99’s maximum for prohibited practices is €35 million or 7% of worldwide annual turnover, whichever is higher. Most other AI Act breaches, including many high-risk and GPAI breaches, can reach €15 million or 3%; supplying incorrect information to authorities can reach €7.5 million or 1%. SMEs are subject to the lower of the two amounts in the applicable tier. These are statutory ceilings, not reports of fines already imposed: no first AI Act fine is asserted here.
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Is there a federal AI law in the United States?
No comprehensive federal AI statute had been enacted as of October 2026. That does not mean AI is unregulated: federal agencies enforce existing laws, while states impose binding requirements for particular uses and companies.
Federal rules include the FTC Act’s prohibition on deceptive or unfair practices, Title VII protections against employment discrimination, the Equal Credit Opportunity Act (ECOA) for credit decisions, FDA requirements for medical AI and other sector laws. A credit denial still needs specific reasons under ECOA and Regulation B even after the CFPB withdrew its AI circular.
The executive branch has sought a more uniform approach but has not erased state statutes. Executive Order 14179, issued 23 January 2025, revoked the 2023 Biden AI order; the July 2025 America’s AI Action Plan promoted development. Executive Order 14365, issued 11 December 2025, created a Justice Department AI Litigation Task Force to challenge state AI laws and asked Congress for a national framework. A separate order on 2 June 2026 established a voluntary frontier-model access process. Congress did not enact preemption: a proposed ten-year moratorium was removed from a bill in July 2025, and a later bill was introduced but not enacted.
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An executive order does not repeal state laws by itself. As a 2026 legal summary puts it, preemption requires a court ruling or an act of Congress; the task force and litigation make the legal landscape uncertain, but businesses should not treat state requirements as void while that process continues.
Which US state AI rules matter most?
Requirements depend on what the business does, where it operates and whether it develops a frontier model or a consumer-facing generative service. These dates and rules are especially relevant for hiring, automated decisions and model safety.
- California SB 53: In force from 1 January 2026, it applies to large frontier-AI developers. It requires a published safety framework, critical-incident reports within 15 days—or within 24 hours where there is imminent death or serious injury—and whistleblower protections. The civil-penalty ceiling is $1 million per violation.
- California SB 942, the AI Transparency Act: Large generative-AI providers have duties from 2 August 2026, including a free detection tool and hidden provenance for images, video and audio; visible labels are optional under the described rule. Platform duties start 1 January 2027, and capture-device provenance duties start 1 January 2028.
- California automated-decision rules: The CPPA rules took effect 1 January 2026. From 1 January 2027, covered significant decisions in which technology replaces or substantially replaces human decision-making trigger consumer pre-use notice, opt-out and access rights.
- Texas TRAIGA (HB 149): In force from 1 January 2026, it prohibits specified harmful uses and requires disclosures for certain government and healthcare uses. The Attorney General enforces it, with a 60-day cure period. The law includes a substantial-compliance defence tied to the NIST AI Risk Management Framework. Reported penalty bands are $10,000–$12,000 for curable violations and $80,000–$200,000 for uncurable ones.
- Colorado SB 26-189: This 2026 law replaced the state’s 2024 high-risk AI law. From 1 January 2027, its narrower notice-based automated-decision regime requires developer documentation and deployer notice, and provides for an explanation within 30 days of an adverse outcome, correction and human review on request. It is subject to federal litigation, so its implementation may be affected.
- Illinois HB 3773: In force from 1 January 2026, it requires notice when AI is used in covered employment decisions and treats discriminatory AI in employment as a civil-rights violation. Illinois’ biometric privacy law remains separately relevant.
- New York City Local Law 144: Since July 2023, covered automated employment decision tools have required annual bias audits and public posting of results. A December 2025 state comptroller audit found city enforcement weak; that is an enforcement concern, not a repeal.
- New York RAISE Act: Effective 1 January 2027, it applies safety-framework and critical-incident reporting duties to large frontier-model developers. Registration is reported to begin in November 2026; the reported incident window is 72 hours and penalties may reach $1 million for a first violation and $3 million for a repeat.
- Connecticut Public Act 26-15: Since 1 October 2026, it requires written key-terms notice before charging for consumer AI subscriptions and includes frontier-developer whistleblower protections and AI-related layoff disclosures. AI-companion requirements begin 1 January 2027; hiring-tool notices begin 1 October 2027.
- Utah: Its generative-AI consumer disclosure law includes a reported $2,500-per-violation penalty and is reported to sunset in July 2027.
For a business, the important point is overlap. A hiring screen used in New York City, Illinois and Connecticut can trigger an audit and different notice requirements; Colorado may add explanation and review duties from 2027. A federal framework is not a reason to pause compliance with laws already in force.
How is AI regulated in China?
China has no single AI Act, but a business serving the public there may face a demanding stack of rules centered on filings, security review, content and labels. These rules apply to public-facing services in mainland China, including cloud APIs used by Chinese users, even if the provider is located abroad.
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- Deep Synthesis Provisions, 10 January 2023: These cover synthetic media and deepfakes, including labelling and registration requirements.
- Interim Measures for Generative AI Services, 15 August 2023: Public-facing services must address lawful training data and complaints, and may need security assessment and algorithm filing where they have public-opinion attributes.
- AI-generated synthetic-content labelling rules and national standard GB 45438-2025, 1 September 2025: AI-generated text, images, audio and video need visible labels and embedded metadata, including provider name and content ID. Platforms must check labels; removing them is prohibited.
- Cybersecurity Law amendment, 1 January 2026: China’s first statutory AI article sets policy direction rather than a full list of operational duties.
- Anthropomorphic AI Interaction Services measures, 15 July 2026: Human-like, emotionally interactive AI must address anti-addiction design and intervention in high-risk situations.
By 31 August 2026, 1,112 generative AI services had filed with the Cyberspace Administration of China and 731 apps had registered, according to a 2026 legal tracker. Live services must display their filing number. In practice, enforcement can include suspension, takedown or revoked filings rather than a GDPR-style turnover fine. Foreign providers should also assess China’s data laws and whether a security assessment is required.
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What can consumers expect from AI rules today?
The rights available to an individual depend on location, but transparency and the ability to challenge some decisions are already real in several regimes. A future high-risk compliance date should not be mistaken for a present-day right.
- Disclosure and labels: In the EU, people must be told when they interact with AI, and specified synthetic content must be marked or disclosed under Article 50. China requires visible and embedded labels. California and Utah add requirements for covered generative services. For EU systems already on the market, the transition to machine-readable marking ends on 2 December 2026.
- Automated decisions: Since 5 February 2026, the UK has allowed a wider range of solely automated decisions with significant effects under the Data (Use and Access) Act 2025, provided safeguards include information about the decision, a chance to make representations, human intervention and a right to contest. Stricter conditions remain for special-category data. China’s recommendation rules let users turn off personalisation and seek explanations for significant effects.
- US state rights: Illinois requires notice for covered AI-assisted employment decisions. New York City requires audit summaries for covered hiring tools. California’s automated-decision rules and Colorado’s notice, explanation and review provisions begin in 2027, subject to Colorado litigation.
- Prohibited conduct: EU law bans social scoring and certain biometric and emotion-recognition practices; the specific ban on generators of non-consensual intimate material and child sexual abuse material starts 2 December 2026. Texas bars specified harmful intents, and Illinois prohibits discriminatory AI in covered employment decisions.
Deepfake abuse has also prompted action under laws that are not AI statutes. A late-2025/early-2026 non-consensual-image incident led to reported investigations and proceedings under platform-safety and online-content laws in several jurisdictions. That illustrates why existing consumer and platform rules can matter before a delayed high-risk AI duty applies.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What should a business prioritise if it is starting multi-jurisdiction AI compliance?
Build a common control set first, then add local requirements. That approach is more reliable than maintaining disconnected country checklists or assuming a single voluntary framework replaces law.
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- Inventory and classify every AI use. Record the system, model or vendor, business owner, users, affected people and countries. Classify each use as prohibited, high-risk/high-impact, transparency-related or minimal; also note whether the company is a provider, deployer, GPAI provider or frontier developer.
- Implement live transparency obligations. Disclose chatbot use where required, label synthetic content, and prepare machine-readable marks for EU generative systems already on the market before 2 December 2026. Add China’s visible and embedded labels if the public there can use the service.
- Get evidence from model vendors. If a business relies on a GPAI model in the EU, request the documentation needed to understand the model and its use. Providers should already have Article 53 materials. The EU’s voluntary GPAI Code of Practice offers a path to a presumption of conformity; obtain relevant commitments and documents in writing rather than relying on marketing claims.
- Prepare high-risk controls now. For EU hiring, credit, education and essential-service uses, establish risk management, data governance, logging, human oversight and incident processes before 2 December 2027. Confirm who handles registration and whether a non-EU provider needs an authorised representative.
- Add jurisdiction-specific modules. Map NYC hiring audits, Illinois and Connecticut notices, California frontier-model and generative-content rules, Colorado’s 2027 automated-decision requirements, China filings and content rules, and UK regulator evidence and contestability safeguards.
- Keep versioned records. Document the model or system version, intended use, changes, monitoring findings, complaints and human overrides. A compliance file should explain what the system did at the time a decision was made, not merely describe the latest model.
For example, a San Francisco resume-screening SaaS sold to employers in Europe may be an EU high-risk provider because recruitment is an Annex III use. It may also need an EU authorised representative, face US employment-discrimination risks, and be implicated by New York City audit rules or Illinois notice requirements when employers use it there. Colorado’s documentation and notice regime may add obligations from 2027. The practical plan is to build the high-risk evidence pack and then add the local audit and notice modules.
ISO/IEC 42001:2023 is a certifiable AI management-system standard. The NIST AI Risk Management Framework (Govern, Map, Measure, Manage) is a voluntary US due-diligence framework and is relevant to Texas TRAIGA’s substantial-compliance defence. They can help structure governance, but neither substitutes for statutory obligations such as EU conformity requirements or a China filing.
What changes are coming next?
Several dates cluster in late 2026 and 2027, making a dated compliance calendar useful. They do not all apply to every company.
- 2 December 2026: EU machine-readable marking transition ends for generative systems already on the market; the explicit EU prohibition on non-consensual intimate-material and CSAM generators begins.
- 9 December 2026: EU Product Liability Directive provisions covering software, including AI, are reported to apply.
- 10 December 2026: Australia’s Privacy Act automated-decision transparency requirements for privacy policies are due to begin.
- 1 January 2027: A cluster of obligations is due, including California platform provenance duties and covered automated-decision rules, Colorado’s replacement regime, New York RAISE, and Connecticut AI-companion rules. Some additional state measures are reported to begin on this date; check the relevant official text for the exact scope.
- 1 October 2027: Connecticut hiring-tool notices are due to begin.
- 2 December 2027: EU Annex III stand-alone high-risk obligations begin.
- 2 August 2028: EU Annex I high-risk obligations for AI in regulated products begin.
At international level, the OECD AI Principles, updated in May 2024, and the G7 Hiroshima Code of Conduct are voluntary vocabularies for transparency, safety and accountability. The Council of Europe Framework Convention on AI is an international treaty opened for signature on 5 September 2024, but it does not become an operational company-facing regime merely because a country signs; ratification and implementation matter. There is no UN AI Act.
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The UK has no AI Act, but existing regulators apply five cross-cutting principles: safety and robustness, transparency and explainability, fairness, accountability and governance, and contestability and redress. The ICO covers personal data, the CMA competition and consumer issues, the FCA financial services, Ofcom online safety and the MHRA medical devices. The AI Security Institute evaluates frontier models but is not a regulator.
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The Data (Use and Access) Act 2025 replaced UK GDPR Article 22. Since 5 February 2026, solely automated decisions with significant effects are more widely permitted if safeguards are provided, including information, representations, human intervention and contest rights. The ICO’s statutory code on AI and automated decision-making had not been published by October 2026. UK GDPR’s headline maximum fine remains £17.5 million or 4% of turnover. A business operating in both the UK and EU cannot assume that an EU conformity document alone satisfies UK sector-regulator expectations.
Elsewhere, South Korea’s AI Basic Act has applied since 22 January 2026. It covers high-impact uses such as health, energy, hiring and lending, with transparency, risk-management and human-oversight requirements; large foreign providers may need a domestic representative. Its maximum administrative fine is KRW 30 million, with a ministry-indicated grace period of at least a year. Vietnam’s risk-based AI Law took effect on 1 March 2026, with 12–18 months for legacy systems. India has non-binding governance guidelines and platform AI-content labelling rules from 20 February 2026. Singapore combines a voluntary governance framework with its Personal Data Protection Act. Canada’s proposed AIDA did not become law after the bill lapsed in January 2025; privacy statutes and regulator guidance remain relevant. Australia has no AI Act, but its National AI Plan and upcoming privacy-policy transparency requirements matter.
For a global provider, “no AI Act” does not mean “no AI regulation.” It means the legal work is distributed among privacy, employment, equality, consumer, sector and online-safety rules, with different authorities and remedies.
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Can I ask a company whether a decision was made by AI?
In some places, yes, but the right is not universal. For example, UK safeguards for qualifying solely automated decisions include information about the decision and a chance to make representations; China’s recommendation rules include an explanation right when an algorithm significantly affects a user’s interests.
Can I sue a company just because it used AI?
Not usually on that fact alone. A claim generally depends on a specific legal violation—such as discrimination, privacy infringement, deception or a product defect—and the law governing that situation; many AI statutes are enforced by regulators rather than creating a general private right to sue.
Does signing the Council of Europe AI Convention make a company compliant?
No. It is an international treaty for states, not a substitute for a company’s compliance programme. A signature alone does not make its provisions an operational private-sector obligation; ratification and domestic implementation are important.
Do AI laws regulate model weights or training data directly?
Some rules touch training data, documentation or copyright practices, but many of the most consequential duties attach to a system’s use and effects. For instance, hiring, credit and medical uses can trigger obligations based on their function even when the underlying model is commercially available.
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