Trust and Safety Outlook 2026

Are the kids alright? Navigating child safety in the age of AI

  • Report
  • July 17, 2026

Key takeaways:

  • AI is reshaping how child safety harms emerge, scale, and affect young users. 
  • Parents, regulators, and policymakers are raising expectations for platform safeguards. 
  • Leading platforms need proactive life cycle approaches across assessment, policy, testing, launch, and monitoring. 
  • Child safety can become a source of durable trust, not only a compliance obligation.

Young users are spending more time in digital ecosystems than ever before. The average 7- to 14-year-old spends 3.6 hours per day on recreational screen time, and they’re doing more than just consuming content—97% report making independent purchasing decisions at least some of the time. The platforms themselves continue to change as well, with generative AI (GenAI) chatbots and AI-driven experiences rapidly becoming part of how children interact online. In parallel, online harms are evolving, with GenAI introducing new threats—from deepfake-laden content to emotional dependency on AI chatbots.

One emerging threat, AI-generated child sexual abuse material (CSAM), increased by 154%1 from 2024 to 2025, according to Internet Watch Foundation in the UK. Parents, guardians, regulators, and lawmakers are paying close attention to these shifts, recognizing that the online environment is becoming more complex and dangerous by the day.

Concerns about child safety are also shaping expectations of online platforms. In PwC’s Trust and Safety Outlook 2026 research, the areas most often ranked in respondents’ top three priorities for more company investment are controls over who can contact minors (44%), content moderation for harmful and inappropriate content (38%), and age assurance and verification (38%). These findings suggest that robust child safety measures are increasingly influencing platform trust, adoption, and retention.  

Platforms face increasingly complex, technology-enabled threats to child safety

Harms facing minors are not new, but AI technologies, particularly GenAI models and AI-powered chatbots, are reshaping how they manifest. Rapid innovation, marked by the continuous release of more capable AI models and the rapid integration of AI into user experiences, is accelerating their reach. Meanwhile, increased personalization and more human-like interactions are deepening engagement and dependency, creating new risk vectors.

Child safety considerations by risk type

Risk Current threats Emerging threats
Sexual exploitation and abuse 
  • Adult sexual grooming of minors
  • Sexual extortion of minors 
  • Nonconsensual sharing of sexual images
  • Peer pressure to create and share sexual images 
  • AI-generated sexual deepfakes of minors
  • AI-assisted sexual content targeting of minors at scale
Financial exploitation and fraud
  • Online scams targeting minors  
  • Account hacking and extortion of minors
  • Identity theft of minors
  • AI voice or video impersonation scams targeting minors
  • Large-scale AI-poweredscams targeting minors 
Peer abuse and harassment
  • Cyberbullying
  • Coordinated group harassment of minors (dogpiling)
  • Hate-based abuse targeting a minor’s identity 
  • Live verbal abuse in gaming or streaming environments
  • Bot-amplified harassment targeting minors
  • Immersive harassment in VR/metaverse environments
Harmful or inappropriate content  
  • Graphic violence
  • Self-harm or suicide content
  • Eating disorder content
  • Pornography 
  • Extremist or radicalizing content
  • AI-generated harmful content targeting minors
  • Algorithmically intensified exposure to harmful content
Psychological and developmental harm 
  • Reduced critical thinking
  • AI sycophancy and amplification of harmful ideas or intent
  • Body image distortion driven by social comparison
  • Addictive engagement patterns that disrupt sleep and well-being  
  • Emotional dependency on AI companions
  • Algorithm-driven identity and belief formation

Framework and analysis by PwC

Child safety is top of mind for regulators, but rules are diverging

Policymakers are shifting away from voluntary self-policing toward regulatory frameworks that place affirmative obligations on platforms to protect children, with growing consensus around core themes, such as age assurance, parental controls, and data governance. However, meaningful variation exists in how these obligations are defined and enforced. 

Existing compliance programs may not be scoped for the full range of emerging exposures. Most frameworks were not designed with LLMs or GenAI in mind, leaving platforms with limited regulatory guidance precisely where risks are evolving fastest. Requirements diverge significantly across jurisdictions: on age thresholds, allocation of responsibility between platforms and parents, and the degree of prescriptive versus principles-based obligations. 

Beneath these regulatory gaps are broader unresolved questions about where responsibility should sit among platforms, parents, and governments, and how much autonomy young users should have. According to PwC’s Trust and Safety Outlook 2026 research, 18% of US guardians say the single most important factor in deciding whether to allow their child to use an online platform is their child’s age, maturity, and ability to use the product responsibly. 

Other leading responses highlighted factors within a platform’s control, including age-appropriate design and default settings (14%), controls over who can contact or interact with their child (12%), and the platform’s developmental or educational value (11%). For platforms, the risk of being caught underprepared is real. 

Key child safety regulations

Regulation Jurisdiction Key obligations Age threshold  Status
COPPA Rule (2025 amendments) United States Strengthened parental consent, data-use limits, targeted advertising restrictions for children  Under 13 In effect
Online Safety Act United Kingdom  Risk assessments, proportionate safety measures for services likely accessed by children, duty of care obligations Under 18 In effect
Digital Services Act (DSA)  European Union Child-specific protections and systemic risk assessments for very large online platforms (VLOPs) Under 18 In effect  
GDPR  European Union  Privacy by default, restricted profiling, best interests design for child users Under 16  In effect
Age-Appropriate Design Code (Children’s Code) United Kingdom Privacy by default, restricted profiling, best interests design for child users  Under 18 In effect
Kids Online Safety Act (KOSA) United States  Duty of care to prevent harms, default privacy settings, limits on addictive features for minors Under 17 Pending federal passage 

How platforms can lead a Trust and Safety life cycle approach

Facing a rapidly evolving landscape of harms and increasing regulatory burden, online platforms should use a proactive, systematic approach to child safety. Leading online platforms are taking systematic approaches across the five stages of the Trust and Safety life cycle—combining preventive and detective measures to prepare and continuously monitor threats at scale.

Horizon scanning and regulatory intake help understand current child safety challenges and prepare for future risks.

  • Monitor emerging child safety threats and behaviors. Deploy proactive threat intelligence capabilities to identify evolving risks to minors across digital ecosystems (e.g. dark web, social platforms).
  • Build regulatory scanning and intake capabilities. Monitor emerging and pending child safety regulations to enable proactive compliance planning. Establish consistent processes for collecting, assessing, and implementing regulatory changes across products and jurisdictions, supported by a centralized repository that serves as a single source of truth for requirements.
  • Benchmark child safety performance. Assess child safety safeguards and practices against leading online platforms and industry standards to identify gaps and opportunities for improvement.

Policy standards and development establish defensible, consistent approaches to child safety and guide decision-making across products, markets, and use cases.

  • Develop child safety standards aligned to industry practices. Define structured approaches to child safety in areas where formal regulation and societal consensus remain limited, leveraging established frameworks, such as PwC’s framework for youth online privacy and safety, to help accelerate policy development.
  • Consult domain experts to inform policy design. Engage independent specialists, such as psychologists, child development specialists, and academic researchers, to ground standards in evidence-based insights on youth behavior and well-being.
  • Engage youth and parents for input and perspective. Incorporate viewpoints from young users, parents, industry peers, and policymakers to shape shared expectations on risk, safeguards, and acceptable tradeoffs.

 

Testing, evaluation, and prelaunch governance can help facilitate integration of child safety measures throughout product development.

  • Embed child safety into prelaunch evaluation and governance. Establish holistic testing and review processes to identify and mitigate risks to young users. Incorporate child safety assessments into go/no-go decision frameworks before product or feature release.
  • Develop expert-informed evaluation data sets. Partner with child safety specialists, psychologists, clinicians, and researchers to create high-quality evaluation data sets that reflect realistic youth harm scenarios.
  • Conduct adversarial and scenario-based testing. Leverage AI-enabled red teaming and automated testing to surface vulnerabilities more quickly and comprehensively than manual testing alone. Use multi-turn interaction testing to model extended chatbot conversations and identify child safety risks that may emerge over sustained user engagement.

Communication fosters transparency, trust, and stakeholder confidence in child safety safeguards.

  • Communicate child safety measures. Articulate child safety policies and safety guardrails to build trust with young users, parents, regulators, and civil society, tailoring communications to ensure information is clear, accessible, and age appropriate.
  • Disclose evaluation approaches and safety outcomes. Provide appropriate visibility into testing methodologies (e.g. red teaming and scenario-based testing) and how identified risks have been mitigated prior to release.
  • Establish continuous feedback and monitoring mechanisms. Proactively gather input from users, parents, domain experts, regulators, and civil society.

Detection, monitoring, and enforcement can help manage child safety risks and policy violations in deployed products, enabling continuous improvement.

  • Strengthen age assurance and access controls. Implement age estimation and age-gating solutions (e.g. biometric and behavioral approaches), balancing verification, user experience, and privacy.
  • Deploy AI-enabled child safety capabilities. Leverage advanced models to identify policy violations at scale.
  • Monitor effectiveness and maintain accountability. Assess real-world performance through post-launch evaluations, including detection accuracy, enforcement outcomes, and response times, to identify gaps and enhance child safety controls.
  • Maintain auditability and accountability. Document auditable records of detection and enforcement decisions and conduct periodic reviews to demonstrate compliance with regulatory and internal requirements.  

From compliance to competitive advantage

The next step is building the infrastructure to decide faster, as threats, regulations, and product launches rarely arrive in sequence. For example, a new AI feature ships while a regulatory consultation is still open. Or a new harm emerges while a policy update is still in review. Platform providers that have invested in the life cycle will be able to make these calls with greater speed and confidence, drawing on live regulatory intelligence, pretested policy positions, and enforcement systems already calibrated for emerging risks. Those that haven’t may find themselves making high-stakes decisions reactively, without a strong basis to justify them.

The commercial implications are real. Parents are already making platform choices based on child safety signals, and that pattern will likely only intensify as AI-enabled harms become more visible and regulation more demanding. Platforms that lead on child safety won’t just reduce regulatory exposure; they’ll build the kind of durable trust with users that translates into adoption, retention, and long-term competitive advantage.  


1 Wootton-Cane, Nicole. "Experts Issue Warning amid 'Frightening' Increase in AI-Generated Child Sexual Abuse Imagery." Independent Online, 27 Apr. 2026, www.independent.co.uk. Accessed 18 June 2026.

Trust and Safety Outlook 2026

FAQs

AI is creating new child safety risks, including deepfake content, AI-powered scams, emotional dependency on chatbots, and algorithmically intensified exposure to harmful content. These risks require stronger safeguards and more proactive governance.

Platforms should strengthen age assurance, access controls, policy standards, expert-informed testing, monitoring, reporting, and continuous feedback mechanisms across the Trust and Safety life cycle.

Contact us

Daniel Hays

Principal, Consulting Solutions, PwC US

Kim David Greenwood

Principal, PwC US

Rahul Kapoor

Principal (Partner), PwC US

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