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PwC at TrustCon 2026 

July 20–22, 2026 | San Francisco, California 

AI is changing faster than the systems designed to govern it. As autonomy expands across products, operations, and physical environments, leaders face a harder question: What still holds, what no longer does, and where are the next pressure points emerging?

AI is scaling faster than trust. What breaks first—and what needs to evolve next?

For years, Trust and Safety focused largely on content, platforms, and online harms. That conversation is changing. AI agents, autonomous systems, and machine-speed interactions are pushing trust and safety into broader questions of accountability, resilience, governance, and institutional trust.

As AI becomes embedded across products, operations, and physical environments, current models are beginning to show strain. Who is accountable when AI systems act autonomously? How should decisions made at machine speed be governed? And which assumptions no longer hold as AI pushes today’s trust systems beyond their original design?

PwC at TrustCon 2026 brought these questions together in one place: an executive roundtable, a Birds of a Feather reception, a featured fireside discussion, and a live demonstration of AI-powered Trust and Safety operations. Explore the ideas, perspectives, and practical models shaping what comes next.

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TrustCon 2026 highlights

See the Trust and Safety Outlook 2026 in action through candid dialogue, an executive roundtable, a Birds of a Feather reception, a featured fireside discussion, and an AI-powered autorater.

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TrustCon 2026 highlights

Inside PwC at TrustCon 2026 

At the center of PwC’s TrustCon 2026 program: candid exchange among leaders across Trust and Safety, policy, product, risk, and AI. The experience spans an executive roundtable, a Birds of a Feather reception at Sens, live music, a featured fireside discussion, and an interactive demonstration of AI-powered Trust and Safety operations.

  • Dan Hays, Strategy & Policy Consulting Leader, PwC US 
  • Rob Reich, Professor of Social Ethics of Science and Technology, Stanford University 
  • Eric Goldman, Professor of Law and Co-Director, High Tech Law Institute, Santa Clara University 
  • Rachel Roschelle, Director, Regulatory & Policy Strategy, Strategy&, PwC US

The discussion examines what holds, what strains, and where the next pressure points are emerging as AI pushes today’s trust systems beyond their original design.

Continue the conversation through PwC’s Trust and Safety Outlook 2026. 

Explore the Outlook

PwC’s Trust and Safety Outlook 2026

Seven trends for leaders navigating AI-era risk.

PwC’s Trust and Safety Outlook 2026 explores how Trust and Safety is moving from a reactive operating function to a strategic capability embedded across product design, governance, operations, and ecosystem partnerships. 
 
Drawing on PwC’s 2026 Trust and Safety Survey of 2,000 US adults and our experience working with leading organizations, the Outlook examines seven trends shaping the next phase of Trust and Safety in the AI era.

The report focuses on seven trends shaping that shift:

  • Community input and platform governance 
  • Child safety in the age of AI 

  • AI agents as workforce counterparts 

  • Physical AI governance 

  • Content moderation from scale to specialization

  • Agentic AI in Trust and Safety operations 

  • Emerging AI threats and Trust and Safety risk

Together, these trends point to a new reality: trust should be designed earlier, measured with greater precision, and governed more continuously as AI reshapes digital, physical, and institutional experiences.

AI-powered Trust and Safety in action

PwC’s autorater demonstration shows how AI-powered annotation agents can evaluate complex content against policy, generate transparent rationales and confidence scores, and route higher-risk cases for expert review. 
 
Together, these capabilities point to a faster, more scalable operating model that can improve quality, reduce costs, and adapt as policies and risks evolve. The demonstration translates agentic AI from concept into a practical model for Trust and Safety operations.

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Daniel Hays

Principal, Consulting Solutions, PwC US

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