Trust, Credibility & Truth Videos

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Creating convincing information used to be expensive. If you wanted something to look legitimate, a report or research summary, an article, it took time and expertise to put it together.

But now a single person can generate hundreds of possible articles with fake analysis, synthetic images, and even very realistic voices and video. And they can test different versions of that same story until one spreads.

And we already know how information behaves in networks. Studies of social media have shown that false news travels further and faster than true news. And it’s not because of bots. It’s because people are more likely to share things that are surprising or emotionally charged.

So when you lower the cost of producing convincing content, that dynamic scales. And the problem isn’t just misinformation.

It’s that when everyone can produce convincing looking information at scale, people stop judging information based on the content alone. Instead they ask, or they should be asking where did this come from. Who produced it, and is the source reliable. Because when credibility becomes easy to imitate, trust is the thing that actually matters.

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Even though AI makes it easier for people to produce good ideas, think about how LLMs work. They’re trained on massive amounts of human writing, books, articles, research papers, code.

So when a lot of people ask the same type of question, they often get variations of the same answer, and that makes the average quality of ideas go up. But the range of ideas can shrink.

And there is some early research showing this. When people use generative AI in creative tasks, their individual output often improves, but the ideas across the group become similar. Everyone performs better, but everyone starts clustering around the same patterns.

And you can already see it. If you ask 10 startups how to launch a product, or ask 10 marketing teams how to run a campaign, a lot of the answers start to sound familiar. So if everyone’s drawing from the same playbook, being different can be your competitive advantage.

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How do you know something’s real? Not does it sound convincing, or does it look professional, right? A report can look legitimate, and a voice can sound authentic, and a photo can look like evidence, but none of that tells you where it came from.

Economists have studied a version of this problem for decades. George Akerlof called it the market for lemons. The idea is you’re selling a car, you generally know if it’s a good car or a lemon.

But if you’re buying a car, it’s hard to tell. So you’re not willing to pay as much, because you assume it’s probably a lemon. And that forces prices down, which prices good cars out of the market.

And that same dynamic can happen with information. When convincing content becomes cheap to produce, people stop trusting the content itself, and they start relying on signals like brand and reputation, and verification.

Who published this? Where did it originate? Has this source been reliable before? And organizations that build that real credibility end up with something that’s very difficult to fake.