Courts have recast wellness offerings as ordinary commerce, letting firms replicate medical services while sidestepping healthcare duties; the author proposes a factor-based test to compel courts to treat functionally equivalent wellness products as healthcare and reinstate consumer protections.

Main Finding

Courts are increasingly treating consumer “wellness” products and services as ordinary commercial transactions governed by contract law, rather than as healthcare subject to special protections. This allows firms to mimic healthcare’s appearance and risks while avoiding health-law obligations, producing a regulatory blind spot. The article argues that courts can and should use underused doctrinal tools in contract law to restore some health protections, and it proposes a factor-based test to identify when wellness products functionally substitute for medical care.

Key Points

• Courts often uncritically enforce terms in wellness contracts (e.g., waivers, disclaimers, liability-limiting clauses) that would be impermissible or heavily constrained in traditional healthcare settings.
• The result is a shift from protective health-law norms (patient protections, informed consent, malpractice doctrines, privacy safeguards) to buyer-beware contract principles in a set of transactions that nevertheless affect people’s health.
• Wellness firms can replicate healthcare aesthetics and risks without assuming commensurate obligations, creating regulatory arbitrage as care migrates from public/medical settings to private consumer markets.
• The Article challenges the assumed categorical distinction between “wellness” and “healthcare,” showing that many wellness offerings functionally substitute for medical care.
• It proposes a factor-based test to decide when a wellness product or service should be treated like healthcare for legal purposes, and recommends modest doctrinal interventions for courts to protect consumers while respecting contractual freedom.

Data & Methods

• Qualitative legal analysis: systematic review of judicial opinions and case law concerning consumer wellness products and contracts.
• Doctrinal synthesis: identification of recurring judicial treatments and contractual terms that courts enforce in wellness contexts.
• Normative proposal: development of a factor-based, functional test to determine when wellness products substitute for care, plus proposed doctrinal adjustments courts could apply.
• (Implicit) illustrative case examples and pattern analysis showing how contract-law reasoning replaces health-law protections in practice.

Implications for AI Economics

• Regulatory arbitrage and market structure:

  • AI-driven wellness apps, symptom checkers, diagnostic algorithms, and personalized coaching tools can exploit lower legal obligations in the wellness category, lowering compliance costs and encouraging rapid entry. This may skew market incentives toward consumer-facing private solutions over regulated clinical care.
  • Firms face asymmetric liability: lower expected legal costs in wellness regimes may change pricing, investment, and product design incentives, potentially increasing the supply of health-affecting products with weaker safety incentives.

• Consumer welfare and information asymmetries:

  • Consumers may not appreciate when AI wellness tools are effectively substituting for medical advice. That increases information asymmetry, raises the risk of harm, and generates potential market failures (adverse selection, “market for lemons”) if safety/efficacy claims are hard to verify.
  • Contract-based governance (clickwrap, terms of service) can shift risk to consumers via exculpatory clauses, reducing expected consumer surplus and increasing search/transaction costs for trustworthy alternatives.

• Externalities and systemic risk:

  • Widespread reliance on low-regulation AI wellness products can create negative externalities—misdiagnosis, delayed care, public health risks—that are not internalized by firms operating under contract-law regimes.
  • Network effects (platforms aggregating health data) can amplify these risks and raise competition-policy concerns if dominant firms lock in users while avoiding healthcare obligations.

• Research directions for AI economics:

  • Empirically measure the prevalence of wellness vs. regulated healthcare categorizations for AI health tools and the incidence of contract clauses that limit liability.
  • Compare outcomes (health, utilization, costs) for users of AI wellness products versus regulated digital health tools using matched observational studies, difference-in-differences around regulatory or judicial changes, or randomized controlled trials where feasible.
  • Study how legal/regulatory environment affects firm behavior: product design choices, disclosure practices, pricing, and investment in safety/validation.
  • Model incentives under alternative liability regimes (contract-dominant vs. health-law protection) to predict market equilibrium, innovation rates, and welfare.

• Policy and market interventions:

  • Courts can adopt the proposed factor-based test (or similar functional criteria) to trigger heightened protections for wellness products that substitute for care—this would alter firms’ legal risk calculus and internalize safety incentives.
  • Regulators and policymakers could reduce informational asymmetries via mandatory disclosures, truth-in-advertising rules, accuracy labeling, or certification schemes for AI health tools.
  • Consider targeted liability rules, sector-specific consumer protections, or harmonized standards for data use and privacy to limit exploitative contract clauses.
  • Market-based remedies: third-party certification, reputational signaling, and insurance products that alter firm incentives could complement legal changes.

Takeaway for AI economists: the legal framing of AI health-adjacent products matters for firm incentives, market outcomes, and consumer welfare. Studying how judicial and contractual regimes shape the AI wellness market is essential for predicting innovation paths and designing effective policy responses.