Synthesia is no longer just a novelty for marketing teams. Its AI avatar technology has matured into a full enterprise video platform, and the companies feeling it most are those that built their business on async video – Loom chief among them.
A Different Kind of Video Tool Eating the Same Budget
Loom made its name on simplicity: record your screen, share a link, skip the meeting. That formula worked extraordinarily well during the remote work surge, and Atlassian paid nearly $1 billion for the company in 2023 betting it would stay relevant inside enterprise workflows. The pitch was straightforward – async video as a communication layer for distributed teams.
Synthesia’s pitch is different but increasingly overlapping. Instead of recording yourself, you create an AI avatar that speaks your script in your place. The result looks like a produced video without the production. Early on, that use case lived in a separate category – training videos, onboarding modules, compliance content – things that needed polish and repeatability rather than spontaneity. Those weren’t Loom customers. Now they are, or were.
The problem for Loom is that enterprise video budgets don’t expand indefinitely. When a learning and development team that once used Loom for quick knowledge transfers starts running Synthesia for the same function – formatted better, branded consistently, available in 140 languages – that’s not an addition to the stack. That’s a replacement. Procurement teams consolidating tools will notice the redundancy first.
Synthesia’s recent product moves have made the overlap harder to ignore. The platform now supports custom AI avatars built from a short video clip of a real employee, meaning the “impersonal avatar” criticism that used to blunt enterprise interest has largely evaporated. A manager can now appear in a company-wide training video without ever sitting in front of a camera again. Loom’s core value proposition – the ease of putting a real face on a message – just got a direct answer.
Where the Competition Gets Complicated
Loom’s strength has always been its friction reduction. Open the extension, click record, and you’re done in seconds. Synthesia requires a script, an avatar selection, a voice, and a render queue. For spontaneous communication – quick feedback on a design, a fast update to a project – Loom still wins on speed. But the use cases where that spontaneity matters are narrowing inside enterprise accounts, because enterprises increasingly want video that looks like it came from a media team, not a laptop webcam.
The translation feature is where Synthesia is quietly pulling ahead in ways that Loom cannot easily replicate. A Loom video in English is a Loom video in English. A Synthesia video in English can become 50 localized versions with synced lip movement and native-language voiceover in roughly the time it takes to render. For multinational companies running training programs across regions, that capability alone justifies the contract. It’s not a feature Loom can bolt on because the underlying architecture isn’t built for it.
Atlassian’s integration strategy was supposed to be Loom’s defensive moat. Embedded inside Jira and Confluence, Loom videos become part of the documentation layer – context-rich, searchable, tied to specific tickets and pages. That integration still creates stickiness for engineering and product teams who live inside those tools. But HR, legal, sales enablement, and executive communications – the departments Synthesia is specifically targeting with its enterprise tier – don’t live in Jira. They live in slide decks, learning management systems, and internal portals where Loom’s native integration means very little.
Pricing strategy is also worth watching. Synthesia operates on a seat-based model at the enterprise level, but the per-video cost structure makes it easy for procurement to frame it as a production cost rather than a software subscription. That framing matters inside large companies where budgets are siloed. L&D can pull from a different line item than IT, which means Synthesia can sometimes enter an enterprise account without competing directly against Loom in a procurement review – until the overlap becomes obvious and someone asks why both tools are on the bill.
The competitive dynamic here follows a pattern visible across other software categories. When a newer AI-native tool starts covering enough of an incumbent’s functional ground, the incumbent faces a positioning problem that engineering alone can’t fix. Loom has begun rolling out AI features – auto-generated summaries, chaptering, transcripts – but those are table stakes across video tools now. The question isn’t whether Loom has AI features. The question is whether AI-generated video with no camera required is a fundamentally different product category, or whether it’s just Loom with a better production layer. Synthesia is clearly betting it’s the latter.
What Enterprise Buyers Are Actually Weighing
Enterprise decisions around video tools rarely come down to a single feature comparison. They come down to which team inside a company champions the renewal. Loom’s champion has historically been the individual contributor or the team lead who discovered it organically and spread it upward. Synthesia’s champion tends to be a communications director or an L&D manager with a budget and a mandate to scale content across a large organization. Those are different buyers with different leverage inside a company, and Synthesia’s buyer often has more budget authority and longer contract cycles.
Loom isn’t disappearing from enterprise accounts. But the ceiling on its expansion inside those accounts is getting harder to raise when Synthesia is already in the building, handling the high-visibility video content while Loom handles the informal stuff. Informal communication tools are historically the first to get cut when software budgets tighten – and right now, software budgets are very tight.
