Builders should navigate altering security laws whereas getting ready shopper robots, say Cooley consultants. Supply: Haris, AI, by way of Adobe Inventory
The buyer robotics market is exploding – with the humanoid robotics section alone projected towards $34 billion by 2030. Humanoid robots that may carry out family duties, synthetic intelligence-powered companions for aged care, autonomous garden upkeep programs, and interactive instructional robots are shifting from prototypes to manufacturing.
Main retailers are scrambling for progressive merchandise to satisfy surging demand – with 65% of U.S. households already utilizing AI-powered gadgets. The know-how gives nice promise. The market is hungry for it. And firms now face a vital strategic determination whereas they race to convey their progressive merchandise to market: Easy methods to navigate essentially completely different regulatory approaches of their key markets?
EU and U.S. take divergent approaches
The European Union and U.S. have to this point chosen reverse paths for regulating AI-powered shopper merchandise. The EU Equipment Regulation, which replaces the EU Equipment Directive and comes on-line absolutely in January 2027, creates baseline necessities for promoting robots in Europe, together with these incorporating AI.
The EU AI Act establishes a complete ex-ante framework with considerably extra regulatory readability than the U.S. gives. The AI Act’s risk-based classification system supplies outlined classes and outlined obligations, notably for AI deemed to be “excessive danger.” Robotics incorporating AI will normally fall into this class the place AI is performing as a security part.
However, the U.S. at the moment has no single, nationwide regulatory framework for AI. As a substitute, particular person states have adopted various approaches, together with passing new guardrails on AI equivalent to Colorado’s AI Act, Texas’ Accountable AI Governance Act (HB 1709), and California’s Transparency in Frontier Synthetic Intelligence Act.
The Federal Commerce Fee (FTC) and state attorneys common are establishing AI boundaries utilizing present authorized frameworks on a case-by-case enforcement, together with enforcement actions below present shopper safety authority. And the Client Product Security Fee (CPSC) is in wait-and-see mode on shopper robotics whereas taking part in associated voluntary requirements efforts.
Current coverage developments sign potential shifts within the federal strategy. Govt Order 14179, issued in January 2025, revoked the earlier administration’s complete AI order and established a brand new framework emphasizing private-sector innovation and lowered regulatory limitations.
The order directs businesses to eradicate insurance policies that unduly limit AI improvement whereas sustaining give attention to nationwide safety and worldwide competitiveness. This indicators a regulatory philosophy favoring market-driven improvement over prescriptive federal frameworks.
Legislative efforts are additionally below approach that might additional form the federal panorama. Sen. Marsha Blackburn (R-Tenn.) has proposed a nationwide coverage framework for AI that may, amongst different issues, search to codify components of the manager order’s strategy and probably preempt sure state AI legal guidelines. If enacted, it may considerably alter the patchwork of state-level necessities firms at the moment face.
The present U.S. surroundings presents each challenges and alternatives for shopper robotics producers and builders of AI-enabled merchandise. The dearth of clear ex-ante guidelines creates uncertainty, notably for firms accustomed to outlined compliance frameworks.
Nevertheless, it additionally creates area for product improvement attentive to market wants fairly than predetermined regulatory classes. Working with skilled advisors – together with authorized counsel specializing in product security, privateness, and AI regulation – is crucial for navigating U.S. market entry.
Three strategic compliance priorities
1. Product security requirements
Business security requirements for shopper robots have initially drawn from automotive and industrial robotic guidelines. This strategy has appreciable advantage, as these requirements are time-tested.
Nevertheless, this strategy additionally has vital limitations. Most significantly, the hazard eventualities contemplated by these requirements don’t at all times align with potential dangers for in-home robotic use, particularly round susceptible populations, equivalent to kids, older customers, and people with disabilities.
Within the industrial setting, as an example, danger is primarily managed by separation between people and robots, which is the precise reverse state of affairs as meant for in-home use. As a result of danger administration will likely be completely different in lots of of those eventualities, consensus efforts are below strategy to develop and improve significant baseline shopper robotic security requirements that fairly deal with in-home danger and supply firms with extra of the design and improvement readability they search and want.
Firms ought to begin, not less than, by monitoring the event of consensus requirements for robotics and AI inside organizations such because the Worldwide Group for Standardization (ISO), in addition to the Nationwide Institute of Requirements and Know-how (NIST). NIST has been actively growing AI-related frameworks and steerage, together with its AI Threat Administration Framework, and even have interaction by means of its nationwide requirements delegation.
Firms also needs to develop a baseline framework that identifies any related obligatory necessities and maps to an affordable hybrid from among the many adjoining consensus requirements. This improvement requirements map is not going to be equivalent for each firm, as it is going to be pegged to product design and danger tolerance. However no matter selections are made, they should be affordable, properly articulated and properly documented to higher stand up to future authorized and compliance scrutiny.
The present absence of federal obligatory security requirements for shopper robotics or AI in shopper merchandise displays the CPSC’s conventional strategy of permitting industry-led improvement to proceed first. This differs considerably from the EU’s top-down regulatory strategy, the place many shopper robotics will likely be required to bear third-party conformity evaluation below the Equipment Regulation and AI Act. The present U.S. coverage surroundings favoring private-sector innovation suggests continued reliance on industry-led tips fairly than prescriptive federal necessities.
Additional, the standard CPSC and EU jurisdictional boundary between software program and {hardware} is evolving, with AI in shopper merchandise more and more more likely to be handled as built-in part components topic to product security jurisdiction.
When a robotic’s AI comes to a decision that impacts bodily product conduct, the software program can’t be meaningfully separated from the {hardware} for regulatory functions. Firms ought to apply product-safety rigor to their AI programs, implementing thorough testing throughout each software program and {hardware} elements.
NIST has studied human-robot interplay. Credit score: Earl Bukoff, NIST
2. Transparency about AI use and knowledge practices
Transparency has develop into a precedence focus for each regulators and the plaintiffs’ bar, creating necessary issues for firms bringing AI-powered merchandise to market.
Client robotics presents distinctive disclosure challenges as a result of these merchandise work together intently with customers in dwelling environments, amassing operational knowledge whereas using AI programs that will not be instantly clear to customers. The FTC has introduced enforcement actions towards a number of firms relating to AI representations, and this enforcement exercise is predicted to proceed as AI adoption expands throughout industries.
State attorneys common have equally pursued AI-related investigations below present shopper safety statutes. For instance, in August 2025, Texas opened an investigation into AI chatbots associated to potential misleading commerce practices and deceptive psychological well being advertising. Likewise, in January 2026, California opened an investigation into nonconsensual sexually specific materials and deepfakes produced utilizing a number one AI platform.
“AI Litigation 2.0” focuses considerably on how firms talk about their AI capabilities and knowledge practices to customers. Certainly, “AI washing” – making exaggerated or unsubstantiated claims a couple of product’s AI capabilities – has develop into a definite enforcement precedence for the FTC, as demonstrated by latest actions towards firms overstating the position or effectiveness of AI of their merchandise.
The strategy is easy: Describe AI capabilities with specificity and accuracy. Present clear explanations of what the AI does, what knowledge it processes, retention practices and the way data is protected. Whereas there’s room for accessible language that communicates worth to customers and buyers, broad or ambiguous characterizations can invite questions and potential challenges.
For firms deploying AI-powered shopper merchandise at scale, considerate disclosure practices can serve a number of strategic functions – constructing shopper belief, managing regulatory and litigation dangers, and establishing defensible positions ought to questions come up. Firms that spend money on clear, substantiated communications about their AI capabilities place themselves advantageously in an evolving regulatory and litigation surroundings.
The U.S. authorities has cracked down on misleading AI claims. Supply: FTC
3. Bias and discrimination prevention
Algorithmic bias and discrimination have develop into central considerations for AI regulators, notably on the state degree. State legislatures have enacted legal guidelines straight focusing on algorithmic discrimination.
For instance, Colorado’s AI Act prohibits “algorithmic discrimination” and imposes obligations on deployers of high-risk AI programs to keep away from differential remedy or impression on protected teams, whereas Texas’s Accountable AI Governance Act equally addresses bias in automated decision-making. These state-level necessities create important compliance obligations for firms deploying AI-powered shopper merchandise.
On the federal degree, the FTC has traditionally taken the place that AI programs leading to discriminatory outcomes can violate present consumer-protection legal guidelines, even with out specific intent to discriminate, although the present administration’s coverage path – emphasizing private-sector innovation and questioning prescriptive algorithmic discrimination frameworks – could mood near-term federal enforcement on this space.
State regulators and attorneys common, nevertheless, are more and more scrutinizing AI-powered merchandise for potential bias, notably in functions affecting susceptible populations.
For shopper robotics, this creates each compliance obligations and reputational danger. A companion robotic that responds otherwise primarily based on accent or speech patterns, a kids’s instructional robotic that acknowledges some pores and skin tones higher than others in visible interactions, or a family assistant with voice recognition that performs inconsistently throughout age teams or gender current each regulatory and legal responsibility considerations. Robots designed to work together with susceptible populations – notably, kids, aged customers or people with disabilities – should carry out equitably throughout person teams.
Firms ought to develop sturdy testing protocols to guage AI efficiency throughout various populations throughout improvement, monitor for bias indicators in deployed programs, and set up processes to deal with efficiency disparities when recognized.
Robotics and AI builders ought to consider efficiency with various populations. Credit score: SpaceOak, by way of Adobe Inventory
Navigate requirements compliance strategically
The U.S. regulatory panorama differs essentially from the EU’s. The place the EU could, on paper, present higher readability by means of its prescriptive framework – although questions stay about implementation – the U.S. gives flexibility however much less certainty.
The present coverage surroundings within the U.S. emphasizes market-driven innovation over prescriptive federal frameworks, however the particular implications for shopper robotics regulation stay unclear. Firms that spend money on understanding these dynamics, have interaction with requirements improvement processes, and work with skilled advisors can extra successfully navigate this panorama whereas positioning themselves for achievement because it evolves.
The market alternative is substantial, notably for early entrants that may meet shopper demand for these merchandise. Firms that construct affordable compliance capabilities now – addressing not simply bodily security necessities but in addition disclosure practices, knowledge governance and legal responsibility danger administration – will likely be ready to capitalize on huge shopper demand whereas higher managing compliance, rising laws, and litigation danger throughout their key markets.
In regards to the authors
Elliot F. Kaye is a associate at legislation agency Cooley LLP and former chairman of the U.S. Client Product Security Fee (CPSC), the place he served because the chief product security official within the U.S. and because the company’s chief in executing its mandate to guard the general public from harmful merchandise.
Throughout his tenure, Elliot modernized the company, notably the CPSC’s design, staffing and utilization of its compliance, investigatory and enforcement powers. At Cooley, he advises shoppers on the complete product life cycle, with a selected give attention to the intersection of synthetic intelligence and shopper items, particularly robots.
William Ok. Pao is co-head of Cooley’s AI Job Drive and a litigation associate on the agency with over 20 years of expertise serving as a trusted advisor and first-chair trial lawyer for world firms main technological and monetary innovation. He guides shoppers by means of their most complicated litigation and regulatory exposures and is extensively thought to be a go-to lawyer for rising applied sciences, novel authorized questions, and cross-border disputes.
Philip Brown is a particular counsel at Cooley with over 15 years of expertise in product security and shopper legislation, together with over a decade in federal authorities enforcement on the CPSC and FTC. At Cooley, he advises world shoppers on product compliance dangers, enforcement publicity, and litigation technique.
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