The great robot race: How companies can balance speed to market and compliance in the U.S.

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 instructional robots are transferring 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 important strategic resolution whereas they race to carry their progressive merchandise to market: How one can navigate basically completely different regulatory approaches of their key markets?

EU and U.S. take divergent approaches

The European Union and U.S. have to date chosen reverse paths for regulating AI-powered client merchandise. The EU Machinery Regulation, which replaces the EU Machinery 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. gives. The AI Act’s risk-based classification system offers 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.

Then again, 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 akin to Colorado’s AI Act, Texas’ Responsible AI Governance Act (HB 1709), and California’s Transparency in Frontier Artificial 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 beneath current 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 strategy. Executive 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 obstacles.

The order directs companies to get rid of insurance policies that unduly prohibit 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 manner 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 chief order’s strategy 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. setting presents each challenges and alternatives for client robotics producers and builders of AI-enabled merchandise. The shortage of clear ex-ante guidelines creates uncertainty, notably 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 strategy has appreciable advantage, as these requirements are time-tested.

Nonetheless, this strategy additionally has important 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, akin to youngsters, older shoppers, 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 situation as supposed for in-home use. As a result of danger administration might be completely different in lots of of those eventualities, consensus efforts are beneath method to develop and improve significant baseline client robotic security requirements that fairly deal with in-home danger and supply firms with extra of the design and improvement readability they search and wish.

Firms 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 growing AI-related frameworks and steering, together with its AI Risk Management Framework, and even interact by way of its nationwide requirements delegation.

Firms 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 is not going to be similar for each firm, as it will likely be pegged to product design and danger tolerance. However no matter decisions are made, they should be cheap, effectively articulated and effectively documented to raised face up to future authorized and compliance scrutiny.

The present absence of federal obligatory security requirements for client robotics or AI in client 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 client robotics might be required to endure third-party conformity evaluation beneath the Equipment Regulation and AI Act. The present U.S. coverage setting favoring private-sector innovation suggests continued reliance on industry-led tips reasonably than prescriptive federal necessities.

Additional, the standard CPSC and EU jurisdictional boundary between software program and {hardware} is evolving, with AI in client 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 methods, 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 knowledge practices

Transparency has turn 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 house environments, amassing operational knowledge whereas using AI methods that will not be instantly clear to shoppers. The FTC has introduced enforcement actions towards a number of firms concerning AI representations, and this enforcement exercise is predicted to proceed as AI adoption expands throughout industries.

State attorneys normal have equally pursued AI-related investigations beneath current 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 knowledge practices to shoppers. Certainly, “AI washing” – making exaggerated or unsubstantiated claims a couple of product’s AI capabilities – has turn 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 info 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 put money into clear, substantiated communications about their AI capabilities place themselves advantageously in an evolving regulatory and litigation setting.

The U.S. authorities has cracked down on misleading AI claims. Supply: FTC

3. Bias and discrimination prevention

Algorithmic bias and discrimination have turn into central issues for AI regulators, notably on the state degree. State legislatures have enacted legal guidelines immediately focusing 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 remedy or affect 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 client 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 path – emphasizing private-sector innovation and questioning prescriptive algorithmic discrimination frameworks – might 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, notably in functions affecting susceptible populations.

For client robotics, this creates each compliance obligations and reputational danger. A companion robotic that responds in a different way based mostly on accent or speech patterns, a youngsters’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 issues. Robots designed to work together with susceptible populations – notably, youngsters, aged customers or people with disabilities – should carry out equitably throughout consumer teams.

Firms ought to develop sturdy testing protocols to judge AI efficiency throughout various 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 various populations. Credit score: SpaceOak, through Adobe Inventory

Navigate requirements compliance strategically

The U.S. regulatory panorama differs basically from the EU’s. The place the EU might, on paper, present higher readability by way of its prescriptive framework – although questions stay about implementation – the U.S. gives flexibility however much less certainty.

The present coverage setting within the U.S. emphasizes market-driven innovation over prescriptive federal frameworks, however the particular implications for client robotics regulation stay unclear. Firms that put money into understanding these dynamics, interact with requirements improvement processes, and work with skilled advisors can extra successfully navigate this panorama whereas positioning themselves for fulfillment because it evolves.

The market alternative is substantial, notably 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 additionally disclosure practices, knowledge governance and legal responsibility danger administration – might be ready to capitalize on huge client demand whereas higher managing compliance, rising laws, and litigation danger throughout their key markets.

Concerning the authors

Elliot Kaye is a accomplice 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, notably 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 selected give attention to the intersection of synthetic intelligence and client items, particularly robots.

William K. Pao is co-head of Cooley’s AI Process Pressure and a litigation accomplice on the agency with over 20 years of expertise serving as a trusted advisor and first-chair trial lawyer for international firms main technological and monetary innovation. He guides shoppers by way of their most complicated litigation and regulatory exposures and is extensively thought to be a go-to legal professional 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 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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