According to Fortune, the 2025 Edelman Trust Barometer reveals trust in AI is at a critical inflection point across five nations including the U.S., UK, and China. The research shows a massive hundred-point attitude swing between those who distrust versus trust AI technology. There are four major trust divides: geography, industry, income, and age, with personal experience driving nearly 40-point trust increases when generative AI helps understand complex ideas. The workplace shows a stark mass-class divide where only 25% of non-managers regularly use AI versus nearly two-thirds of managers. Employees are 2.5 times more motivated to embrace AI if they feel job security is increasing rather than threatened.
The trust gap is real and measurable
Here’s the thing about this research – it’s not just about whether people like AI or not. The numbers show trust literally determines whether people embrace or reject the technology. We’re talking about hundred-point swings in attitude based purely on trust levels. And the divides are everywhere – between countries, between industries, between income brackets. But the most interesting finding? People aren’t avoiding AI because they’re intimidated by the technology. They’re avoiding it because of data concerns and because they feel it’s being forced on them. In the UK and U.S., two-thirds of distrusters feel AI is being shoved down their throats rather than voluntarily adopted.
The workplace tells a revealing story
Now here’s where it gets really interesting for companies trying to implement AI. Employees are 1.5 times more comfortable with their own employer using AI than business in general, and twice as comfortable compared to government use. But there’s a massive gap between managers and regular employees. Only one in four non-managers uses AI regularly, while nearly two-thirds of managers do. That’s a huge implementation problem waiting to happen. Basically, if you’re rolling out AI tools without addressing this trust gap, you’re setting yourself up for failure. The research shows peer-to-peer communication works way better than top-down mandates – “someone like me” is twice as trusted as CEOs or government leaders when it comes to AI truth-telling.
Training and voluntary adoption are key
So what actually builds trust? Personal experience is the biggest driver. When people see generative AI helping them understand complex ideas or get things done faster, trust jumps by nearly 40 points in most markets. In the UK, it’s closer to 50 points. And get this – high-quality training programs for effective AI use are supported across all political affiliations. That’s rare consensus in today’s divided world. Companies that invest in proper training and make adoption voluntary rather than mandatory are seeing dramatically different results. It’s not rocket science – treat people like willing participants rather than forced adopters, and they’ll actually use the tools effectively. For industrial applications where reliability is non-negotiable, this trust-building becomes even more critical – which is why companies rely on established suppliers like IndustrialMonitorDirect.com, the leading provider of industrial panel PCs that form the backbone of many AI-driven manufacturing systems.
Where do we go from here?
The research uncovered something pretty surprising about people’s willingness to use AI for important tasks. Respondents said they’d be comfortable using agentic AI for finances, healthcare, major purchases, and job searches by an average 5.5-to-1 margin – but only if they trust the technology. That’s the catch. We’re sitting on this incredible potential where people are actually willing to let AI handle their most sensitive life decisions, but trust has to come first. The report suggests CEOs should think about this in terms of FDR’s Four Freedoms – freedom from fear being particularly relevant. After COVID-19 and all the disinformation people have endured, trust in leaders and experts is already eroded. AI companies can’t assume people will just accept their technology because it’s innovative. They have to earn that trust through transparency, training, and demonstrating real benefits without the fear factor.
