On March 11, 2026, the FTC will announce an official policy statement regarding AI. This statement provides an official interpretation of how Section 5 of the existing FTC Act applies to AI systems, directly impacting web crawling and data collection companies.
TL;DR
- March 11, 2026: Deadline for Trump Executive Order (signed in December 2025) - FTC AI Policy Statement expected
- Regulatory targets (based on leaked draft, subject to change upon final release): AI marketing, consumer data AI learning, automated decision-making, AI content disclosure, claims of AI safety in 5 areas
- Particularly, "models created with inappropriately collected data for AI learning can be ordered to be deleted"
- FTC's preemptive authority is limited - compliance with state laws like Colorado AI Act (effective June 30) is necessary
- 2026 is the warning and consent order phase, full enforcement (up to $53,088 fine per violation) starts from 2027
For companies operating web crawling and data collection businesses, it is crucial to understand the changes that this policy statement will bring now. 2026 is a preparation period.
What is the FTC AI Policy Statement?
The FTC Policy Statement is not a new law. It is a document that formalizes the interpretation of how Section 5 of the existing FTC Act, which prohibits "unfair or deceptive acts or practices," applies to AI systems. While it does not have legal binding, it holds significant practical influence as it clarifies the FTC's future enforcement direction.
Key Background:
- Basis of Executive Order: Executive Order signed by President Trump in December 2025 - "Establishment of a National AI Policy Framework"
- Deadline: March 11, 2026 (90 days after the Executive Order signing)
- Simultaneous Deadline: Commerce Department to release a report on "Evaluation of State AI Laws and Federal Policies' Conflict" on the same day
What are the 5 regulatory areas directly impacting web crawling companies?
The FTC Policy Statement covers 5 core areas based on leaked draft criteria, with the area most directly affecting data collection companies being "Consumer Data and AI Learning."
AI-Based Marketing and Advertising
Regulatory targets include AI-generated ad content, automatic targeting, dynamic pricing, personalized marketing. The key principles are truthfulness and transparency.
When using price data collected through crawling for dynamic pricing, transparency requirements for AI-based pricing decisions may be strengthened. Companies using collected data for marketing automation may need to provide compliance guidelines.
Consumer Data and AI Learning (Most Direct Impact)
Regulatory targets include consumer data used for AI model training, with key principles being meaningful consent, data minimization, and purpose limitation.
Note: FTC has previously stated that "models developed with inappropriately collected data can be ordered to be deleted." Consent requirements directly apply when collected data is used for AI model training.
Automated Decision-Making
AI used for credit scoring, insurance underwriting, hiring decisions, service eligibility determinations is targeted. Transparency requirements explaining AI decision criteria to consumers are imposed. Data collection requirements for clients in finance and HR sectors may change.
AI Content Disclosure
AI-generated chatbot responses, product reviews, testimonials, marketing materials are regulatory targets. Obligations for classifying content into AI-Generated, AI-Assisted, AI-Enhanced categories may be imposed. Demand for classifying the AI generation status of content collected through crawling is expected to increase.
Claims of AI Safety
Exaggerated performance claims and misleading safety representations of AI products are regulatory targets. Only verifiable performance comparisons are allowed. Marketing statements like "99.9% accuracy" by AI crawling tools should be verified immediately.
In case of conflict between Federal FTC policy and state laws, which takes precedence?
Currently, compliance with both is required. As FTC's preemptive authority is limited, even if a Federal policy statement is issued, state AI laws are likely to be applied concurrently.
Major conflicting state laws:
| Law | Effective Date | Content | Federal Conflict Potential |
|---|---|---|---|
| Colorado AI Act | June 30, 2026 | Algorithmic bias regulation, impact assessment obligation | High |
| Illinois AI Video Interview Act | In effect | Prior consent for AI interview analysis | Medium |
| Texas AIFA (signed) | September 1, 2026 | AI system transparency, disclosure obligation | Medium |
According to TechPolicy.Press analysis, FTC's preemptive authority is extremely limited. The Supreme Court applies the "presumption against preemption" principle, and Section 5 of the FTC Act is drafted in general terms without specific provisions, making it difficult for courts to accept preemptive claims. Actual preemptive rulemaking takes years following Administrative Procedure Act (APA) + Magnuson-Moss Act procedures.
Web crawling companies should prepare for dual compliance with Federal and state laws.
What does the X Corp v Bright Data case mean for scraping?
The 2024 X Corp. v. Bright Data Ltd. ruling confirmed that scraping cannot be prevented by terms of service alone. However, not all scraping has been legalized.
Key points of the ruling:
- Rejection of X (formerly Twitter)'s terms of service violation claim
- "Users own the copyright to the content, and X is merely under a non-exclusive license"
- Copyright law takes precedence over contract terms - terms of service cannot create a "private copyright system"
Implications for web crawling companies:
| Aspect | Before the ruling | After the ruling |
|---|---|---|
| Risk of terms of service violation | High | Decreased |
| Need for copyright analysis | Optional | Mandatory |
| Strengthening of Fair Use defense | Uncertain | Enhanced |
| Assessment of data originality | Not considered | Key criterion |
Copyright analysis, Fair Use evaluation, and assessment of data originality remain essential. For more detailed information on the legality of web crawling, refer to Crawling Legality Guide - Minimizing Legal Risks.
Checklist for Web Crawling Companies around March 11
Phase 1: Immediate (Before 3/11)
- [ ] AI System Inventory - Document all points where AI is used in the crawling pipeline
- [ ] Data Flow Mapping - Visualize the entire path from collection to processing to storage to utilization
- [ ] Marketing Copy Audit - Identify and amend exaggerated AI performance expressions
- [ ] Identification of Personal Information - Classify Personally Identifiable Information (PII) in collected data
Phase 2: Q2 2026 (April-June)
- [ ] Update Customer Contracts - Add clauses limiting data usage purposes
- [ ] Establish AI Content Labeling Policy - Introduce a 3-tier classification system for AI-generated/assisted/enhanced content
- [ ] Mapping of State Regulations - Verify requirements of state laws in service areas
- [ ] Build Audit Trail System - Preserve records of data collection basis and consent
Phase 3: Q3-Q4 2026
- [ ] Regular Compliance Reviews - Conduct quarterly reviews
- [ ] Monitor FTC Warning Letters - Track industry trends (expectation of warning letters to major companies)
Enforcement Timeline Outlook:
2026.03.11 FTC 정책 성명 발표 + 상무부 주법 충돌 평가 보고서
2026.03~06 FTC 주요 기업 대상 경고 서신(Warning Letters) 발송
2026.06.30 콜로라도 AI Act 시행
2026.Q3~Q4 동의 명령(Consent Orders) 협상 시작
2027~ 본격 집행 — 위반 건당 최대 $53,088 벌금
2026 is a preparation period. FTC is expected to gradually strengthen enforcement through warnings, consent orders, and enforcement starting from 2027. Documenting "good-faith compliance efforts" now can secure a favorable position for future enforcement.
Can Korean companies be subject to FTC regulations?
Korean companies that crawl U.S.-based websites or provide services to U.S. companies may fall under FTC jurisdiction.
| Scenario | Applicability of FTC | Response |
|---|---|---|
| Crawling U.S.-based websites | Indirect applicability possible | Document data usage purposes |
| Providing crawling services to U.S. companies | Direct applicability | Include compliance clauses in contracts |
| AI learning from U.S. consumer data | Direct applicability | Compliance with consent requirements and data minimization |
| Providing services only within Korea | Not applicable | However, compliance with the Korean AI Basic Act (effective January 2026) is required |
For a more detailed analysis of the global regulatory environment, refer to 2026 AI Regulation and Web Crawling Global Guide.
As regulatory environment tightens, the value of compliant professional crawling services increases. HashScraper has been reliably crawling over 5,000 websites for 8 years without IP blocks. Utilizing a verified service is a more cost-effective and less risky choice than bearing regulatory risks with in-house developed crawlers.
If you have any questions about web crawling compliance, feel free to request a free consultation.
Related Articles:
- 2026 AI Regulation and Web Crawling Global Guide
- Permission Economy - Web Data Access War in 2026
- Crawling Legality Guide - Minimizing Legal Risks
FAQ
Q. Does the FTC Policy Statement have legal binding?
No, it does not. The Policy Statement is non-binding guidance. However, as it clarifies the FTC's future enforcement direction, it practically acts as a regulatory standard.
Q. Is web crawling itself subject to FTC regulation?
Rather than the act of web crawling itself, the use of collected data is subject to regulation. Especially when used for AI learning, marketing automation, and consumer profiling, it falls under FTC jurisdiction.
Q. Does the X Corp v Bright Data ruling completely legalize scraping?
No, it does not. The ruling only stated that scraping cannot be blocked by terms of service alone, but copyright violations or violations of data protection laws can still apply. Copyright analysis, Fair Use evaluation, and data originality assessment remain essential.
Q. How much is the fine for violating FTC regulations?
For FTC violations, a maximum civil fine of $53,088 (approximately 7,100,000 KRW) per violation may be imposed. However, in 2026, a warning → consent order phase is expected, with full enforcement starting from 2027.
Q. What is the most important thing to do right now?
Creating an AI System Inventory. Documenting where AI is used in the crawling pipeline will improve response speed to any future regulations. Just doing this one thing can significantly improve your preparedness level.
