Builders should navigate altering security rules 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 methods, and interactive academic 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 corporations now face a vital strategic resolution whereas they race to convey their progressive merchandise to market: How you can navigate basically totally different regulatory approaches of their key markets?
EU and U.S. take divergent approaches
The European Union and U.S. have thus far 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, significantly for AI deemed to be “excessive threat.” Robotics incorporating AI will often fall into this class the place AI is performing as a security part.
Then again, the U.S. at present 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 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 normal are establishing AI boundaries utilizing current authorized frameworks on a case-by-case enforcement, together with enforcement actions underneath current shopper safety authority. And the Shopper Product Security Fee (CPSC) is in wait-and-see mode on shopper robotics whereas collaborating in associated voluntary requirements efforts.
Latest 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 decreased regulatory limitations.
The order directs businesses to eradicate insurance policies that unduly limit AI improvement whereas sustaining concentrate on nationwide safety and worldwide competitiveness. This alerts a regulatory philosophy favoring market-driven improvement over prescriptive federal frameworks.
Legislative efforts are additionally underneath approach that would 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 corporations at present face.
The present U.S. surroundings presents each challenges and alternatives for shopper robotics producers and builders of AI-enabled merchandise. The shortage of clear ex-ante guidelines creates uncertainty, significantly for corporations accustomed to outlined compliance frameworks.
Nonetheless, it additionally creates house for product improvement attentive to market wants somewhat 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 shopper robots have initially drawn from automotive and industrial robotic guidelines. This strategy has appreciable benefit, as these requirements are time-tested.
Nonetheless, this strategy additionally has vital limitations. Most significantly, the hazard eventualities contemplated by these requirements don’t all the time 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 illustration, threat is primarily managed by separation between people and robots, which is the precise reverse state of affairs as supposed for in-home use. As a result of threat administration can be totally different in lots of of those eventualities, consensus efforts are underneath option to develop and improve significant baseline shopper robotic security requirements that fairly tackle in-home threat and supply corporations with extra of the design and improvement readability they search and wish.
Corporations ought to begin, at the very least, 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 Expertise (NIST). NIST has been actively creating AI-related frameworks and steerage, together with its AI Threat Administration Framework, and even have interaction by its nationwide requirements delegation.
Corporations also needs to develop a baseline framework that identifies any related obligatory necessities and maps to an inexpensive hybrid from among the many adjoining consensus requirements. This improvement requirements map won’t be an identical for each firm, as it will likely be pegged to product design and threat tolerance. However no matter decisions are made, they have to be affordable, effectively articulated and effectively 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 can be required to endure third-party conformity evaluation underneath the Equipment Regulation and AI Act. The present U.S. coverage surroundings favoring private-sector innovation suggests continued reliance on industry-led pointers somewhat 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. Corporations ought to apply product-safety rigor to their AI methods, 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 information practices
Transparency has develop into a precedence focus for each regulators and the plaintiffs’ bar, creating vital issues for corporations bringing AI-powered merchandise to market.
Shopper robotics presents distinctive disclosure challenges as a result of these merchandise work together carefully with customers in dwelling environments, gathering operational information whereas using AI methods that will not be instantly clear to customers. The FTC has introduced enforcement actions towards a number of corporations concerning AI representations, and this enforcement exercise is anticipated to proceed as AI adoption expands throughout industries.
State attorneys normal have equally pursued AI-related investigations underneath current 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 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 corporations talk about their AI capabilities and information 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 current actions towards corporations 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 information it processes, retention practices and the way info is protected. Whereas there’s room for accessible language that communicates worth to customers and traders, broad or ambiguous characterizations can invite questions and potential challenges.
For corporations 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. Corporations 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, significantly on the state degree. State legislatures have enacted legal guidelines immediately concentrating on algorithmic discrimination.
For instance, Colorado’s AI Act prohibits “algorithmic discrimination” and imposes obligations on deployers of high-risk AI methods to keep away from differential therapy 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 corporations deploying AI-powered shopper merchandise.
On the federal degree, the FTC has traditionally taken the place that AI methods leading to discriminatory outcomes can violate current consumer-protection legal guidelines, even with out specific intent to discriminate, although the present administration’s coverage route – emphasizing private-sector innovation and questioning prescriptive algorithmic discrimination frameworks – could mood near-term federal enforcement on this space.
State regulators and attorneys normal, nevertheless, are more and more scrutinizing AI-powered merchandise for potential bias, significantly in purposes affecting susceptible populations.
For shopper robotics, this creates each compliance obligations and reputational threat. A companion robotic that responds in a different way primarily based on accent or speech patterns, a kids’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 considerations. Robots designed to work together with susceptible populations – significantly, kids, aged customers or people with disabilities – should carry out equitably throughout consumer teams.
Corporations ought to develop sturdy testing protocols to guage AI efficiency throughout numerous populations throughout improvement, monitor for bias indicators in deployed methods, and set up processes to deal with efficiency disparities when recognized.
Robotics and AI builders ought to consider efficiency with numerous populations. Credit score: SpaceOak, by way of Adobe Inventory
Navigate requirements compliance strategically
The U.S. regulatory panorama differs basically from the EU’s. The place the EU could, on paper, present larger readability by 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. Corporations 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, significantly for early entrants that may meet shopper demand for these merchandise. Corporations that construct affordable compliance capabilities now – addressing not simply bodily security necessities but additionally disclosure practices, information governance and legal responsibility threat administration – can be ready to capitalize on huge shopper demand whereas higher managing compliance, rising rules, and litigation threat throughout their key markets.
Concerning the authors
Elliot F. Kaye is a companion at legislation 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 total product life cycle, with a specific concentrate on the intersection of synthetic intelligence and shopper items, particularly robots.
William Okay. Pao is co-head of Cooley’s AI Activity Pressure and a litigation companion on the agency with over 20 years of expertise serving as a trusted advisor and first-chair trial lawyer for international corporations main technological and monetary innovation. He guides shoppers by their most advanced 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 international shoppers on product compliance dangers, enforcement publicity, and litigation technique.
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