Short answer: The EU AI Act is a binding regulation with staged obligations for companies that provide, deploy, import or distribute AI connected to the EU. The United States has no single enacted, comprehensive federal AI law comparable to it. U.S. obligations currently come from executive actions, agency rules, state statutes, sector regulators, procurement terms and consumer-protection law, while federal legislative proposals remain subject to change. A company should therefore perform an EU Act scope-and-risk analysis first, then run a separate U.S. exposure inventory.
The decisive difference: law in force versus a changing policy stack
Regulation (EU) 2024/1689, the EU AI Act, entered into force on 1 August 2024. It creates a common, risk-based framework for providers and deployers and assigns duties according to the AI system or model and the company’s role in the value chain. The European Commission describes it as “the first-ever comprehensive legal framework on AI worldwide.” Its requirements take effect in stages rather than on one universal compliance date.
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The U.S. material is different in kind. Executive orders direct federal agencies and the executive branch; agency actions apply within particular statutory jurisdictions; state laws can govern activity inside a state; and legislative recommendations are proposals until Congress enacts them. Executive Order 14179, signed on 23 January 2025, revoked the prior administration’s AI order and directed development of a new action plan. Executive Order 14365, signed on 11 December 2025, directed an AI Litigation Task Force, an evaluation of state AI laws, possible funding conditions and a legislative recommendation for a uniform federal framework. Neither order created a single private-sector code that replaces all other U.S. requirements.
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When the EU AI Act can reach your company
Start with the Article 2 scope and your role
The first question is not where your headquarters are. Analyze where an AI system is placed on the market, put into service or deployed, where it is used, and whether its outputs concern people in the EU. Then identify your role. The Act distinguishes providers, deployers, importers, distributors and other value-chain participants. A company can occupy different roles for different products: it may provide a model, deploy a third-party system for recruiting, import a finished product or distribute another vendor’s device.
Record the relevant facts for every system: the legal entity responsible for the product, the customer or business unit using it, the countries in which it is offered, the location of users and affected people, and whether a vendor’s model is embedded in a product sold into the EU. Do not assume that contracting out development removes your role; the role analysis follows what the company places on the market or uses, not simply who wrote the code.
Classify the AI use by the Act’s risk structure
The Act separates five practical categories:
- Prohibited practices: uses that the Act bans. The prohibitions began applying on 2 February 2025.
- High-risk systems: systems subject to extensive controls. The current Commission timeline gives many stand-alone high-risk systems a 2 December 2027 date and high-risk AI embedded in regulated products a 2 August 2028 date, with transition arrangements for some pre-existing systems.
- Transparency-regulated systems: systems for which people must receive specified information or be able to recognize AI-generated or AI-assisted interactions or content. Most remaining provisions, including transparency enforcement, are scheduled for 2 August 2026.
- General-purpose AI (GPAI) models: model-level obligations began on 2 August 2025, alongside governance provisions.
- Minimal-risk uses: uses that are not prohibited and do not fall into the higher obligation categories. They may still create contractual, privacy, security, employment or consumer-law responsibilities outside the Act’s risk duties.
Classify the system actually being offered or used, not merely the vendor’s marketing label. A general-purpose model can be one component inside a downstream system that receives a different classification, and a low-risk internal experiment can become a regulated deployment when connected to a consequential business process.
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| Effective date | Current Commission milestone | What a company should do |
|---|---|---|
| 1 August 2024 | Regulation (EU) 2024/1689 entered into force. | Establish ownership, inventory systems and design a compliance program rather than waiting for an enforcement date. |
| 2 February 2025 | Prohibited-practice rules and AI-literacy obligations began applying. | Stop or redesign prohibited uses and provide AI-literacy measures appropriate to staff and other people operating the systems. |
| 2 August 2025 | Governance and GPAI obligations began applying. | Address model-provider duties where applicable and put governance, accountability and documentation processes in operation. |
| 2 August 2026 | Most remaining provisions and enforcement, including transparency enforcement, are scheduled to apply. | Complete transparency controls and the controls that apply to systems already in scope. Verify the date against the latest Commission material because implementation timing has been amended through the Digital Omnibus process. |
| 2 December 2027 | Current date for many stand-alone high-risk systems. | Use the intervening period to complete the high-risk conformity, documentation, oversight and monitoring work required for the relevant role. |
| 2 August 2028 | Current date for high-risk AI embedded in regulated products. | Coordinate AI work with the product’s existing regulated-product compliance path and transition rules. |
These are the European Commission’s current milestones, not immutable promises. The Commission has adjusted implementation timing through its Digital Omnibus process, and transition periods can differ for pre-existing systems. Recheck the official timeline before signing a launch plan, customer commitment or audit schedule.
What the EU obligations look like in practice
The exact duties depend on the risk category and role, but an implementation plan should map the following control families wherever they apply:
- Risk management: identify foreseeable risks, define mitigations and keep the process active through the system lifecycle.
- Data governance: document how training, validation and operational data are selected, managed and checked for relevant quality issues.
- Technical documentation: maintain the information needed to explain the system, its intended purpose, design choices, performance and controls to the appropriate authority or value-chain partner.
- Logging and traceability: retain operational records that allow incidents, decisions and material changes to be investigated.
- Human oversight: give appropriately trained people the ability to understand, monitor, intervene in or stop the system when the category requires it.
- Accuracy, robustness and cybersecurity: set measurable expectations, monitor degradation and protect the system and its data against foreseeable attacks or failures.
- Transparency: tell users when they are interacting with AI or when content has been generated or manipulated where the applicable transparency rule requires disclosure.
- AI literacy: ensure people operating or using AI have the knowledge and skills needed for their role. This obligation began applying on 2 February 2025.
Do not create one oversized control set for every experiment. Map each control to the classified system, the responsible role and the date on which that duty applies. Keep evidence—policies, training records, test results, logs, notices and change approvals—together so a reviewer can connect a requirement to an operating practice.
What the U.S. AI safety proposals actually change
Executive Order 14179: a new federal direction
Executive Order 14179 of 23 January 2025 revoked the prior administration’s AI order and instructed the federal government to develop a new AI action plan. It is an executive-branch directive. It does not itself create a universal compliance checklist for every private company, nor does it erase state, sector or existing federal obligations.
Executive Order 14365: litigation, state-law review and a possible framework
Executive Order 14365 of 11 December 2025 directed an AI Litigation Task Force, an evaluation of state AI laws, possible conditions on federal funding and a legislative recommendation for a uniform federal framework. Those instructions can affect litigation strategy, federal contracting and future legislation, but they remain distinct from an enacted federal AI Act.
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March 2026 legislative recommendations
The White House’s National Policy Framework for Artificial Intelligence: Legislative Recommendations, published in March 2026, asks Congress to preempt some state AI laws while preserving areas such as child safety, state government use and infrastructure permitting. Its stated objective is:
“The federal government must establish a federal AI policy framework to protect American rights, support innovation, and prevent a fragmented patchwork of state regulations that would hinder our national competitiveness, while respecting federalism and State rights.”
A recommendation is not a statute. Congress may change, reject or narrow it, and litigation can alter how any enacted provision operates. Until a law is enacted and effective, treat the document as a planning signal: monitor the areas it identifies, but do not tell customers or employees that federal preemption already exists.
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| Comparison axis | EU AI Act | U.S. policy stack as of 2026 | Decision for your company |
|---|---|---|---|
| Legal force | Binding EU regulation with directly stated duties and staged application. | Executive orders, agency actions, state and sector rules, procurement terms and legislative recommendations; no single enacted comprehensive federal AI code. | Build mandatory EU controls now; maintain a monitoring and issue-specific compliance program for the United States. |
| Territorial trigger | Analyze placing on the market, putting into service, deployment, use and outputs concerning people in the EU under Article 2 scope. | Depends on the state, federal agency, sector, transaction, contract or consumer-protection theory involved. | Map each system’s users, affected people, customers and distribution channels by jurisdiction. |
| Risk method | Prohibited, high-risk, transparency-regulated, GPAI and minimal-risk categories. | No single nationwide risk taxonomy applies to all private uses. | Keep the EU classification separate from U.S. legal tests; do not use one label as a substitute for the other. |
| Company role | Provider, deployer, importer, distributor and other value-chain roles carry different responsibilities. | Responsibilities vary by statute, regulator, contract and conduct; the executive orders do not assign one universal private-sector role taxonomy. | Assign an EU role per system and identify the U.S. entity, product, contract or regulated activity that creates exposure. |
| Implementation dates | Staged dates from 2 February 2025 through current milestones in 2027 and 2028, subject to timeline changes and transitions. | Dates differ by order, agency action, state enactment, contract and any future federal legislation. | Maintain a dated obligations register with a source, effective date and review owner. |
| Enforcement | Most remaining provisions and enforcement are scheduled from 2 August 2026, with category-specific transitions. | Enforcement can come from the applicable state, sector regulator, federal agency, contract remedy or litigation; a proposed federal framework has no present enforcement effect. | Escalate issues to the authority or contractual channel that actually governs the use case. |
A six-step applicability assessment
- Inventory every AI capability. List internally developed models, vendor APIs, embedded features, automated decision tools, chat interfaces, analytics, content-generation functions and pilots. Include systems hidden inside products purchased by another team.
- Map locations and affected people. Record where each system is placed on the market, deployed and used; identify EU users or people whose data, eligibility, employment, access or other interests may be affected; and list the U.S. states and sectors involved.
- Assign the legal role. For the EU, decide whether the entity is acting as provider, deployer, importer, distributor or another value-chain participant. Record the evidence for that decision and revisit it when the product, contract or branding changes.
- Classify EU risk. Check for prohibited practices first, then assess high-risk, transparency, GPAI and minimal-risk status. Document why a system is outside a category; an unexplained “low risk” label is not a defensible analysis.
- Map controls to obligations. Link the classification and role to risk management, data governance, technical documentation, logging, human oversight, accuracy, cybersecurity, transparency and AI-literacy requirements as applicable. Assign an owner and evidence location for every control.
- Run a separate U.S. review. Add state-law, sector-regulator, consumer-protection, procurement and federal-agency requirements. Track Executive Order 14365 implementation, the proposed preemption framework and litigation because their legal effect can change.
How the framework works in common company situations
A U.S. software vendor sells an AI feature to an EU customer
Do not stop at the vendor’s U.S. incorporation. Determine whether the feature or model is being placed on the EU market, which entity is the provider, whether the customer is the deployer and whether the output concerns people in the EU. Contract language should allocate documentation, incident reporting, logging, human-oversight and transparency responsibilities, but a contract cannot make an applicable statutory role disappear.
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An EU employer deploys a third-party recruiting system
The employer should analyze its deployer role and the system’s risk category, retain the vendor information needed for documentation and oversight, and verify that staff using the tool have appropriate AI literacy. The fact that a third party supplied the model does not remove the employer’s responsibility for how it deploys the system.
A company operates only in the United States
It has no automatic exemption from U.S. requirements. Identify the states in which it offers the product or affects consumers, the sector rules that apply to the activity, any federal agency relationship and every procurement contract. Monitor the proposed federal framework, but implement controls required by laws and contracts that are already effective.
A product contains a general-purpose model
Separate model-level and system-level analysis. GPAI obligations began on 2 August 2025, while the downstream product may also be transparency-regulated or high-risk. Obtain the model documentation and usage limits needed to support the product’s own risk and role assessment.
Common mistakes and how to correct them
- Calling the U.S. proposals “the U.S. AI Act.” There is no single enacted federal law by that name in the material described here. Name the specific order, agency action, state law, contract or proposal.
- Using headquarters as the only EU test. Replace a headquarters-only screen with an Article 2 scope analysis covering market placement, deployment, use and affected people.
- Treating a vendor’s classification as conclusive. Require the vendor’s intended-purpose, role and risk rationale, then check it against your actual deployment.
- Assuming a future date means no work is needed. High-risk dates in 2027 and 2028 are implementation milestones, not permission to operate without preparation. Build documentation, testing and oversight before launch.
- Ignoring low-risk uses. Minimal-risk status under the Act does not cancel privacy, employment, security, consumer-protection, procurement or contractual duties.
- Freezing the EU calendar. Recheck Commission updates because the Digital Omnibus process has changed implementation timing and transition details.
- Confusing a proposal with preemption. A request that Congress preempt some state laws has no present effect until legislation is enacted and effective.
- Keeping no evidence. Store the inventory, role decision, classification rationale, notices, training records, test results, logs and approvals so the company can show how it reached its conclusion.
A practical governance operating model
Assign one accountable owner for the inventory and require product, legal, security, data, procurement and business teams to contribute facts. Use a single record for each system with version, vendor, intended purpose, users, affected people, jurisdictions, role, risk classification, applicable controls, evidence links and review date. Trigger a reassessment when the model changes, a new use case is added, the product enters a new country, a vendor changes its terms or an authority issues new guidance.
Best Value
For EU work, prioritize the duties already in force—prohibited-practice screening, AI literacy, governance and GPAI obligations—then schedule the transparency and remaining controls against the current 2 August 2026 milestone. For high-risk systems, begin the documentation, risk, data, logging, oversight, accuracy and cybersecurity work well before the applicable 2027 or 2028 date. For U.S. work, maintain a jurisdiction-by-jurisdiction register and identify which team watches state legislation, federal agency actions, procurement updates and litigation.
What to tell leadership and customers
A precise executive summary is: “Our EU exposure is governed by Regulation (EU) 2024/1689 and depends on the system’s risk category and our value-chain role. Our U.S. exposure is distributed across state, sector, federal-agency, procurement and consumer-protection requirements; executive orders and March 2026 recommendations indicate policy direction but are not one enacted federal AI code.” This wording avoids promising a nationwide U.S. exemption or implying that an EU deadline is static.
Customer contracts should identify who supplies the model, who deploys the system, where it operates, who handles notices and logs, how incidents are escalated and which party maintains technical documentation. Revisit those allocations when the Commission changes its timeline or when U.S. legislation, state rules or litigation changes the applicable requirement.
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If your company places, deploys or uses AI connected to people or markets in the EU, perform the EU AI Act role-and-risk assessment and implement the duties already applicable; do not wait for the 2026, 2027 or 2028 milestones to begin. If your company operates in the United States, do not search for one federal checklist that does not yet exist. Inventory state, sector, procurement, consumer-protection and federal-policy exposure separately, and monitor whether Congress turns the March 2026 recommendations into law. The two regimes can be managed in one governance program, but their legal triggers, dates and enforcement mechanisms must remain distinct.
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