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The AI Trust Imperative: Navigating the Future with Confidence
Justin Westcott, Global Technology Chair
Fifteen years ago, tech was the engine of optimism. It unlocked possibilities, created new industries, and made life more efficient. Today, AI stands at the center of the next big leap forward. But with great potential comes great scrutiny. Trust is no longer a given, it must be earned.
The 2025 Edelman Trust Barometer with Insights for the Technology Sector delivers a clear message: AI is at an inflection point. The path ahead isn’t about hype or fear it’s about proving its value, demonstrating responsibility, and bringing society along for the journey.
The Trust Landscape: A Global Perspective
AI trust is divided. In China, 72% of people express trust in AI. In the U.S., that number drops to 32%. This isn’t just a difference in policy or regulation it’s a reflection of how societies perceive risk, control, and opportunity. Some see AI as a force for progress, while others worry about its unintended consequences.
Trust disparities don’t stop at national borders. Older adults, those with a lower-income, and women are less likely to trust AI. This signals an opportunity: AI leaders who address these concerns directly through inclusion, transparency, and demonstrated benefits will be the ones who build durable trust.
The Tech Industry’s Moment of Leadership
A decade ago, 73% of Americans trusted technology companies. Today, that number is 63%. This shift reflects a growing perception that technology is no longer just a tool for progress it is also a source of anxiety. Fifty-nine percent of global employees fear job displacement due to automation, and 63% of people worry about foreign countries waging an information war. AI is seen as more consequential than ever, raising concerns about job security, fairness, and truth in the digital age.
But this isn’t about rejecting innovation. People want to see AI deployed in ways that enhance lives, protect security, and create shared value. Concerns about automation and misinformation, while significant, are not insurmountable. They serve as a call for thoughtful design, strong oversight, and proactive engagement to ensure AI delivers on its promise.