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At CES 2026, leaders from across technology, policy, and industry came together to tackle a defining question of this moment: how do we scale AI innovation responsibly? During a panel on the real-world risks and rewards of deploying AI, Joel Hron, our CTO, shared a grounded perspective on where AI stands today and what it will take to earn trust at scale. Two key takeaways from the discussion: AI is evolving into an operating system, which raises the bar for accountability. As systems become more agentic and goal-oriented, success depends less on raw capability and more on context, constraints, and guardrails. Powerful AI must be intentionally designed to operate reliably in high-stakes professional workflows. Responsible deployment is about balance, not blind trust or hesitation. Organizations face risk when they either move too fast without oversight or fail to invest in learning how to use AI effectively. The path forward requires human-in-the-loop design, persistence, and systems that are transparent about their limits. Thank you to the full panel, including Morgan Reed and Sandy Carter, and to Mellini Monique for moderating a thoughtful conversation grounded in real-world deployment, governance, and trust. At Thomson Reuters, we believe the future of AI is professional-grade, human-centered, and built to support better outcomes for the people who rely on it every day.