The metadata reckoning: Why 86% of media teams call it their biggest operational drag

Metadata is the single largest source of operational drag in streaming distribution today — not because teams can't generate it, but because of what happens after it's created.

That’s the headline finding from Amagi’s latest AIRTIME Report, built on a focused pulse survey of 28 senior media leaders spanning content owners, channel operators, broadcasters, platforms, and ad-side teams. The report, featuring analysis from FASTMaster Chief Analyst Gavin Bridge, set out to answer a narrower question than usual: what is metadata actually costing the industry, and is anyone fixing it?

The format tax is the real pain point

86% of respondents called reformatting metadata to each platform’s different requirements their single biggest operational drag — the most-agreed statement in the entire survey.

The pain isn’t in writing a synopsis or tagging a genre. It’s in taking that same piece of information and reshaping it for different templates, aspect ratios, and field structures for every platform it needs to land on. Every new distribution deal adds another spec sheet, and none of them match. The frustration isn’t with metadata itself, or even its cost. It’s with the toll of delivering the same information differently, everywhere, for every downstream platform.

The two-front squeeze

More often than not, metadata from content owners arrives incomplete — missing genres, ratings, imagery, or episode data. Not a single respondent disagreed with that, which is a rare level of consensus for an open-ended industry survey.

Distributors sit right in the middle of this. On one side, they’re stuck chasing down or backfilling whatever content owners didn’t supply. On the other hand, they're spending time reformatting existing metadata because every platform has its own definition of "complete" metadata. Neither side is getting easier, so the distributor absorbs the cost of both at twice the effort for the same asset.

The trust leap to AI has already happened

57% say AI can already generate synopses, tags, and genres reliably enough that humans only need to spot-check them. That’s a meaningfully high bar of trust for a task that, not long ago, was considered too nuanced to automate.

Practitioners are, in effect, more confident in a machine’s first draft than in a content partner’s finished deliverable, trusting AI to write metadata faster than they trust their own supply chain to hand it over clean. The technology is no longer the hard part. The harder, still-unsolved problem is getting content partners to deliver clean metadata in the first place.

READ: AI in media operations

Everyone agrees it’s bleeding money — barely half are acting

86% say poor metadata is costing them real money through lost ad revenue, reduced discovery, or platforms pushing their content down the feed. 

And yet, that consensus hasn’t fully translated into the budget. The cost is acknowledged across the industry, but the willingness to meaningfully increase spending to fix it lags well behind the agreement that a problem exists. It’s the classic gap between “we know this is expensive” and “we’ve funded a fix” — and it’s one of the more provocative findings in this edition, according to Gavin Bridge.

WATCH: The future of media operations: Exclusive insights from Amagi CEO Baskar Subramanian

Standard-setting power is shifting to the platforms

A majority expect major streaming platforms — not content owners — to dictate metadata standards within three years. In other words, the reformatting tax that distributors feel today is just the early symptom. The deeper shift is about who gets to write the rules content owners have to follow in the first place.

That shift matters more because of where discovery is headed. Good metadata still drives more discovery today than social feeds, AI assistants, or personalized recommendations, but that advantage isn’t expected to hold for long. As AI-driven discovery layers take on a bigger share of how viewers find content, metadata doesn’t become less important. It becomes the raw input on which those systems are built, which raises the stakes for getting it right now rather than catching up later.

Metadata isn't a back-office detail anymore. It's the layer everything else in FAST and streaming — discovery, monetization, and now AI — is quietly built on top of. The teams that treat it that way now will be the ones platforms are building standards around later, not scrambling to keep up with them.

Want to explore further?

• Get the breakdown of the full survey, FAST channels' global growth trends, along with exclusive insights from Gavin Bridge in the AIRTIME report

• Watch the webinar on how AI closes the gap in media operations 

• Working through a metadata or FAST distribution challenge? Explore how Amagi can help you address these and streamline content distribution.

FAQs

What is metadata in streaming and FAST?
Metadata is the information that describes video content, such as titles, descriptions, genres, ratings, artwork, and rights. It helps platforms organize, discover, and monetize content.

Can AI automate metadata creation?
Yes. Many media teams already trust AI to generate metadata like synopses, tags, and genres, with humans reviewing the results.

Is AI replacing manual metadata work?
AI is increasingly handling metadata creation, while humans focus on reviewing and validating the output.

Why does metadata matter for monetization?
High-quality metadata improves content discovery, advertising opportunities, and audience engagement. Poor metadata can reduce visibility and impact revenue.