The video in your inbox may not be real anymore
Has anyone here had a corporate training video, or a CEO comms piece, or a regulatory briefing dropped in their inbox in the last six months? Of course they have. The more unsettling question now is this: how sure are they that the person in the video was actually a person?
There is a company called MOLT that makes AI avatars of executives and employees. You type the script. The avatar delivers it. Face, voice, micro-expressions, breath, eye tracking, the whole performance. The important point is not that the result is clever. The important point is that, for many enterprise use cases, it is already believable enough.
I have used it. I have watched executives’ own boards fail to spot the avatar. I had one CFO ring me genuinely upset because his team had been watching what they thought was him deliver a budget update, and it was not. That is not a futuristic warning. That is a present-tense operational reality.
This is why I think the enterprise AI conversation is still too often being held in the comfortable language of productivity gains and efficiency uplift. Those are polite words. The more consequential truth is that the technology has crossed a line, and some of the assumptions we built our operating models on, including the assumption that video implies authenticity, are no longer safe.
Where the technology is immediately useful
Used properly, this is not a gimmick. It is already highly practical in exactly the kinds of communication workflows large organisations struggle to keep current.
Corporate training: induction, compliance refreshers, policy rollouts, and product education can be updated quickly instead of waiting on production cycles.
CEO and executive communications: leaders can issue more frequent updates, regional variations, and targeted messages without the overhead of filming every time.
Regulatory briefings: approved scripts can be turned into consistent video communications with a clearer audit trail around what was said and when.
Localization at scale: one core message can be adapted across markets, teams, and channels much faster than traditional production allows.
That matters because the value is not just lower production cost. It is communication cadence. It is consistency. It is the ability to keep information current rather than letting it go stale because the production process was too slow or too expensive.
What changes for leaders
Once realistic synthetic presenters are normal, every enterprise needs a control model for video in the same way it already has a control model for email, payments, and access management.
Provenance: which channels are authoritative, which files are approved, and how authenticity is verified.
Disclosure: when an avatar of a real executive is being used and how that should be communicated.
Permissions: explicit rights around voice, likeness, and revocation.
Operational controls: governance over scripts, source assets, and publishing permissions.
Incident response: plans for impersonation, synthetic fraud, and social engineering when this is used maliciously.
In other words, video is becoming software. When that happens, the conversation shifts from production quality to governance quality.
My view
I do not think enterprises should panic, and I do not think they should dismiss this as novelty either. They should treat it like every consequential technology shift: move early, use it where it creates real value, and put controls around it before the problem arrives instead of after.
For corporate training, CEO communications, and regulatory briefings, AI avatar technology is already beyond the curiosity phase. The opportunity is real. The trust challenge is real too. The organisations that do best from here will be the ones that understand both at the same time.
If you want the broader context around workforce vulnerability and where Australian AI investment is actually going, read AI Exposure vs Adaptive Capacity and What the 12 May 2026 Federal Budget says about where AI money is really going.
Thinking about synthetic video in your enterprise?
Talk with Enterprise AI about where AI avatars create genuine value, and what governance you should put around them before scaling.