Why AI Disclosure Is Becoming a Brand Decision

16 hours ago

3 min read

AI is now part of how most brands make content. Teams use it to draft captions, generate images, clean up video and add voiceovers. The question is no longer whether to use it, but how open to be about it.

I was recently quoted in Hootsuite's guide to Instagram's AI disclosure policy, written by Erin Rodrigue. It's a practical breakdown of what Instagram expects brands to label. It also got me thinking more about why disclosure matters beyond the rules, so I wanted to expand on it here.

The rules, in short

Instagram doesn't ban AI content. It asks brands to label content that looks or sounds real but was made or altered with AI, like realistic video or voiceovers, while things like AI-written captions don't need a label. The Hootsuite guide has the full breakdown, including how to add the labels.

Disclosure is really about trust

The labels are the rule. The bigger issue is what happens when people feel misled. As I told Hootsuite:

"When audiences find out after the fact that something was AI-generated, they start questioning the whole company, not just that one post."

Trust takes a long time to build and very little to damage. One undisclosed video can make people wonder what else they've been shown that wasn't real.

The flip side is that being upfront can work in your favour. As AI gets harder to spot, honesty becomes something audiences notice and value:

"When people can't tell what's real anymore, honesty becomes part of the brand itself. Disclosing AI use signals that you respect your audience enough to let them decide how they feel about it, and that kind of respect builds loyalty."

I think of disclosure as a brand decision, not just a compliance checkbox. It says something about how you treat the people you're talking to.

Higher stakes in regulated industries

Most of my work is with financial services, fintech and industry associations. For these organizations, getting AI disclosure wrong isn't only a reputational risk. As I mentioned in the Hootsuite piece, it can also create compliance exposure on top of the reputational hit.

Financial brands already work under strict rules about what they can say and how. AI content that looks real, like a spokesperson, a testimonial or a voiceover, raises the same questions those rules exist to answer: is this accurate, and is it fair to the person seeing it?

My advice to regulated clients is simple: bring legal or compliance into the conversation before any AI content goes live, not after.

What I'd recommend

Brands shouldn't wait for a platform to decide this for them. Instagram's rules cover what it can detect and enforce today. Your audience's expectations go further than that.

A few principles I'd suggest:

Decide your position before you need it. Agree as a team on when you'll disclose AI use, including cases the platform doesn't require, like a heavily AI-generated image. It's easier to stay consistent when the call isn't made post by post.
Hold partners to the same standard. Anyone creating content for your brand should know your position and follow it.
When in doubt, disclose. A label rarely costs you anything. Being found out later can cost a lot.
Make it fit your brand. Disclosure doesn't have to feel like fine print. It can be handled in a way that matches your voice.

The bottom line

AI can help brands create more and move faster. But the brands that come out ahead will be the ones their audiences still believe. Labelling AI content clearly is a small step that protects something much harder to rebuild.

If you manage social for a brand, the full guide is worth bookmarking.