Builders should navigate altering security rules whereas getting ready client 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 techniques, and interactive academic robots are shifting from prototypes to manufacturing.
Main retailers are scrambling for modern merchandise to fulfill surging demand – with 65% of U.S. households already utilizing AI-powered gadgets. The know-how affords nice promise. The market is hungry for it. And corporations now face a crucial strategic choice whereas they race to carry their modern merchandise to market: navigate essentially totally 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 client merchandise. The EU Equipment Regulation, which replaces the EU Equipment Directive and comes on-line totally 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. affords. The AI Act’s risk-based classification system offers outlined classes and outlined obligations, significantly for AI deemed to be “excessive threat.” Robotics incorporating AI will often fall into this class the place AI is appearing as a security element.
However, the U.S. presently has no single, nationwide regulatory framework for AI. As an alternative, particular person states have adopted various approaches, together with passing new guardrails on AI corresponding 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 basic are establishing AI boundaries utilizing present authorized frameworks on a case-by-case enforcement, together with enforcement actions beneath present client safety authority. And the Shopper Product Security Fee (CPSC) is in wait-and-see mode on client robotics whereas taking part in associated voluntary requirements efforts.
Current coverage developments sign potential shifts within the federal method. Government 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 boundaries.
The order directs companies to get rid of 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 beneath means that might additional form the federal panorama. Sen. Marsha Blackburn (R-Tenn.) has proposed a nationwide coverage framework for AI that will, amongst different issues, search to codify parts of the manager order’s method and probably preempt sure state AI legal guidelines. If enacted, it may considerably alter the patchwork of state-level necessities firms presently face.
The present U.S. surroundings presents each challenges and alternatives for client robotics producers and builders of AI-enabled merchandise. The shortage of clear ex-ante guidelines creates uncertainty, significantly for firms accustomed to outlined compliance frameworks.
Nonetheless, it additionally creates area for product improvement attentive to market wants reasonably than predetermined regulatory classes. Working with skilled advisors – together with authorized counsel specializing in product security, privateness, and AI regulation – is important for navigating U.S. market entry.
Three strategic compliance priorities
1. Product security requirements
Business security requirements for client robots have initially drawn from automotive and industrial robotic guidelines. This method has appreciable advantage, as these requirements are time-tested.
Nonetheless, this method additionally has crucial limitations. Most significantly, the hazard situations contemplated by these requirements don’t all the time align with potential dangers for in-home robotic use, particularly round susceptible populations, corresponding to youngsters, older shoppers, and people with disabilities.
Within the industrial setting, as an illustration, threat 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 threat administration can be totally different in lots of of those situations, consensus efforts are beneath solution to develop and improve significant baseline client robotic security requirements that moderately deal with in-home threat and supply firms with extra of the design and improvement readability they search and want.
Firms ought to begin, a minimum of, 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 creating AI-related frameworks and steering, together with its AI Danger Administration Framework, and even interact by its nationwide requirements delegation.
Firms must also develop a baseline framework that identifies any related necessary 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 threat tolerance. However no matter decisions are made, they have to be cheap, effectively articulated and effectively documented to raised face up to future authorized and compliance scrutiny.
The present absence of federal necessary security requirements for client robotics or AI in client merchandise displays the CPSC’s conventional method of permitting industry-led improvement to proceed first. This differs considerably from the EU’s top-down regulatory method, the place many client robotics can be required to endure third-party conformity evaluation beneath the Equipment Regulation and AI Act. The present U.S. coverage surroundings favoring private-sector innovation suggests continued reliance on industry-led pointers reasonably than prescriptive federal necessities.
Additional, the normal CPSC and EU jurisdictional boundary between software program and {hardware} is evolving, with AI in client merchandise more and more prone to be handled as built-in element elements topic to product security jurisdiction.
When a robotic’s AI decides 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 techniques, implementing thorough testing throughout each software program and {hardware} parts.
NIST has studied human-robot interplay. Credit score: Earl Bukoff, NIST
2. Transparency about AI use and information practices
Transparency has change into a precedence focus for each regulators and the plaintiffs’ bar, creating necessary concerns for firms bringing AI-powered merchandise to market.
Shopper robotics presents distinctive disclosure challenges as a result of these merchandise work together carefully with customers in residence environments, amassing operational information whereas using AI techniques that is probably not instantly clear to shoppers. The FTC has introduced enforcement actions towards a number of firms concerning AI representations, and this enforcement exercise is anticipated to proceed as AI adoption expands throughout industries.
State attorneys basic have equally pursued AI-related investigations beneath present client 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 and marketing. 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 information practices to shoppers. Certainly, “AI washing” – making exaggerated or unsubstantiated claims a few product’s AI capabilities – has change 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 method is simple: Describe AI capabilities with specificity and accuracy. Present clear explanations of what the AI does, what information it processes, retention practices and the way data is protected. Whereas there’s room for accessible language that communicates worth to shoppers and traders, broad or ambiguous characterizations can invite questions and potential challenges.
For firms deploying AI-powered client merchandise at scale, considerate disclosure practices can serve a number of strategic functions – constructing client 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 change into central issues for AI regulators, significantly on the state stage. State legislatures have enacted legal guidelines straight concentrating on algorithmic discrimination.
For instance, Colorado’s AI Act prohibits “algorithmic discrimination” and imposes obligations on deployers of high-risk AI techniques to keep away from differential therapy or influence on protected teams, whereas Texas’s Accountable AI Governance Act equally addresses bias in automated decision-making. These state-level necessities create vital compliance obligations for firms deploying AI-powered client merchandise.
On the federal stage, the FTC has traditionally taken the place that AI techniques leading to discriminatory outcomes can violate present consumer-protection legal guidelines, even with out specific intent to discriminate, although the present administration’s coverage course – emphasizing private-sector innovation and questioning prescriptive algorithmic discrimination frameworks – might mood near-term federal enforcement on this space.
State regulators and attorneys basic, nevertheless, are more and more scrutinizing AI-powered merchandise for potential bias, significantly in purposes affecting susceptible populations.
For client robotics, this creates each compliance obligations and reputational threat. A companion robotic that responds otherwise based mostly on accent or speech patterns, a youngsters’s academic 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 issues. Robots designed to work together with susceptible populations – significantly, youngsters, aged customers or people with disabilities – should carry out equitably throughout person teams.
Firms ought to develop strong testing protocols to guage AI efficiency throughout various populations throughout improvement, monitor for bias indicators in deployed techniques, and set up processes to handle 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 might, on paper, present larger readability by its prescriptive framework – although questions stay about implementation – the U.S. affords 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 client robotics regulation stay unclear. Firms that spend money on understanding these dynamics, interact 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, significantly for early entrants that may meet client demand for these merchandise. Firms that construct cheap compliance capabilities now – addressing not simply bodily security necessities but in addition disclosure practices, information governance and legal responsibility threat administration – can be ready to capitalize on large client demand whereas higher managing compliance, rising rules, and litigation threat throughout their key markets.
Concerning the authors
Elliot Kaye is a associate at regulation agency Cooley LLP and former chairman of the U.S. Shopper 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, significantly 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 specific give attention to the intersection of synthetic intelligence and client items, particularly robots.
William Okay. Pao is co-head of Cooley’s AI Activity 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 their most complicated litigation and regulatory exposures and is broadly considered 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 client regulation, 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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