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Despite LinkedIn's aggressive push into short-form video after a 36% viewership surge in 2024, the data tells a completely different story.

LinkedIn wants you to make more video. The platform rolled out a TikTok-style short-form video feed, started promoting vertical-first formats, and publicly reported that video viewership surged 36% in 2024. The message from LinkedIn's marketing team is clear: video is the future.
The data tells a completely different story.
SocialInsider's 2026 LinkedIn Benchmarks report, which analyzed 1.3 million posts across 16,645 business pages over two years, found that video views dropped 36% year-over-year across every page size. Not small pages. Not mid-tier pages. Every single tier. Per-video engagement only ticked up 7%. Brands are producing more video, getting fewer views, and seeing marginal engagement gains per post. That math doesn't work for anyone except LinkedIn.
I keep coming back to a pattern we've covered several times in this publication: the gap between what LinkedIn says and what LinkedIn's algorithm actually does is where the real story lives. If you're a brand allocating production budget based on LinkedIn's public messaging, you're operating on outdated information.
The video drop doesn't exist in isolation. It's part of the broader reach collapse we wrote about in LinkedIn's Algorithm Killed Company Pages. Richard van der Blom's Algorithm InSights 2025 report, analyzing 1.8 million posts across 58,000 profiles and 31,000 company pages, found that overall views fell 50%, engagement dropped 25%, and follower growth slowed by 59%.
Company pages got hit hardest. Organic reach declined 60 to 66% between 2024 and early 2026. Company page posts now reach roughly 1.6% of their followers. Organic company page content makes up just 1 to 2% of the LinkedIn feed, down from 7% in 2021. Personal profiles account for 65% of feed content. Company pages get about 5%.
For brands that invested heavily in polished LinkedIn video series, the audience isn't gone. The platform is just actively routing attention away from the formats and accounts that brands depend on most.
The mechanism behind this shift has a name: 360Brew. Announced in March 2026, 360Brew is a 150-billion-parameter AI model that replaced LinkedIn's entire content ranking system. We covered what it meant for company pages and employee advocacy. The video implications are just as severe and far less discussed.
The old algorithm was a reaction counter. It measured likes, comments, and shares in the first hour and used those signals to decide whether a post earned wider distribution. 360Brew works differently. It reads content semantically, evaluates whether the creator has topical authority based on their profile and posting history, and weights dwell time, saves, and comment depth over raw engagement volume.
This is where video gets quietly penalized. Video on LinkedIn has always driven high impression counts but shallow engagement. People scroll past, the autoplay triggers a "view," and they keep moving. Under the old algorithm, those views counted. Under 360Brew, the platform looks for signals that someone actually stopped, read, and found value. A document carousel that someone swipes through for 15 seconds and saves registers as a stronger quality signal than a video that autoplayed for three seconds in someone's feed.
SocialInsider's data confirms this. Native document posts now lead all formats with a 7% engagement rate, up 14% year-over-year. Multi-image posts are the top format for generating likes. Video, despite all the platform investment, sits behind both.
Here's the tension. LinkedIn is simultaneously telling creators to invest in video while building an algorithm that deprioritizes the kind of video most brands produce. The platform introduced a "Videos For You" personalized feed and full-screen mobile mode. Product resources are going into video infrastructure. And LinkedIn keeps publishing stats about video growth.
But the growth metrics LinkedIn promotes are about supply and consumption volume, not about whether video actually helps the people posting it. Video uploads increased. Watch time grew. But when views per video drop 36% while upload frequency doubles, the platform is diluting the value of each individual video while celebrating the aggregate.
This follows the same pattern every social platform follows. Encourage creators to produce content in a new format. Use their output to build a product feature. Throttle organic distribution once there's enough inventory to fill the feed, and push brands toward paid amplification to reach the audience they used to reach for free.
LinkedIn's own April 2026 algorithm update made the commercial incentive explicit. Posts with external links, sales language, or product-focused calls to action now see organic reach reduced by up to 40%. Paid content already accounts for an estimated 40% of the LinkedIn feed. The organic window is shrinking, and video, which costs real money to produce, is one of the worst-performing formats on a cost-per-engagement basis when organic reach keeps falling.
The brands that are winning on LinkedIn in 2026 aren't the ones with the biggest video budgets. They're the ones that read the data instead of the press releases.
SocialInsider's expert panel was blunt: pause heavy video production unless you have a clear, differentiated strategy. Repurpose existing clips instead of shooting new content. The only video types that consistently outperform are lighthearted or funny content and repurposed clips from live sessions. Everything else underperforms.
Document posts, carousels, and well-structured text are where the engagement actually is. At Dataslayer, document posts achieved 40.5% engagement versus 10.7% for other formats, nearly 4x the performance. Text-only posts saw the biggest year-over-year engagement jump at 12%. A tight, specific text post from someone with real expertise routinely beats a polished video from someone without it.
This connects to something we wrote about in LinkedIn Has Become AI's Favorite Source Material. LinkedIn is now the second most-cited domain across ChatGPT Search, Google AI Mode, and Perplexity. The content that gets cited is text-heavy: articles between 500 and 2,000 words, educational posts, and expert commentary. Video doesn't get indexed by AI search. It doesn't get cited. It doesn't shape how AI systems describe your brand to the buyers who are increasingly using those tools to build their shortlists.
The broader lesson keeps repeating across social platforms: format hype and algorithmic reality are two different things. LinkedIn is a professional network. People open it to learn something, scan for industry news, or check on their network. They don't open it to watch videos the way they open TikTok or Instagram. User behavior hasn't caught up to LinkedIn's video ambitions, and the algorithm, whether by design or by outcome, reflects that.
If you're allocating content budget for LinkedIn in 2026, here's what the data supports. Shift production toward document-style posts and carousels. They're cheaper to produce and they outperform video on every engagement metric. Invest in personal profiles over company pages, because the algorithmic distribution gap is now so wide that a mid-level employee with 2,000 connections will often outreach a company page with 200,000 followers. And if you do produce video, make it short, native, and vertical, and accept that the reach will be a fraction of what it was 18 months ago.
This is the third piece we've published on LinkedIn's platform shifts in the past month. The throughline is the same: LinkedIn has restructured who and what gets distribution, and the brands paying attention to the data, not the marketing, are the ones that will still be visible when the feed reshuffles again.
The best editorial systems don’t happen by accident. Outlever builds them.

The best editorial systems don’t happen by accident. Outlever builds them.


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