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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 will the next pressure points emerge?
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’s presence at TrustCon 2026 is designed to help leaders pressure-test these questions — not only what risks are emerging, but how trust and safety models need to evolve as AI reshapes product design, governance, operations, and accountability.
Join us at Sens for conversation, insights, and connection.
Space is limited, and attendance is subject to confirmation.
- PwC Cocktail reception at TrustCon 2026
- PwC’s Trust and Safety Outlook 2026
- Experience AI-powered trust and safety in action
PwC Cocktail reception at TrustCon 2026
As a “Birds of a Feather” sponsor of TrustCon, PwC will host a cocktail reception on July 21 at Sens Restaurant and Rooftop Terrace. Just steps from the conference venue, the evening will bring together leaders across trust and safety, policy, product, risk, and AI for cocktails, live music, conversation, a fireside-style discussion, and an interactive demonstration.
Featured perspectives include:
- Dan Hays, Partner, 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 of the High Tech Law Institute, Santa Clara University
- Rachel Roschelle, Director, Regulatory & Policy Strategy, Strategy&
Together, they'll explore what holds, what strains, and where the next pressure points emerge as AI pushes today's trust systems beyond their original design.
To request an invitation, please contact us. Attendance is limited and subject to confirmation.
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 online trust and safety.
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.
Experience AI-powered trust and safety in action
See how PwC is helping organizations reimagine trust and safety operations with AI-powered annotation agents. During our live demonstration, you'll see how agentic AI can evaluate complex content against policy, provide transparent decision rationales, generate confidence scores, and intelligently route high-risk cases for expert review. The result is a faster, more scalable approach to content moderation that helps organizations improve quality, reduce operational costs, and adapt to evolving policy requirements. Inspired by real-world trust and safety challenges, this demonstration brings the future of AI-enabled operations to life.
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