Meta AI drives double-digit Instagram engagement growth while facing addiction lawsuits

Meta AI Drives Unprecedented Instagram Engagement Growth

Meta has confirmed that AI-driven recommendations are keeping users on Instagram significantly longer, with global time spent on the app growing by double digits year over year in the second quarter. During its Q2 2026 earnings call, the company revealed that its largest Reels ranking system update to date drove a 15-basis-point increase in Instagram engagement, translating into millions of additional hours of user attention across its billions of users 1

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. CFO Susan Li explained that the algorithm now tracks the type of videos people watch and recommends similar content with unprecedented accuracy, making the Instagram feed harder to quit for many users 3

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How AI-Powered Recommendation Systems Work Behind the Scenes

Meta's technical approach represents a fundamental shift in how social platforms surface content. The company now processes every public Reel and Feed post through large language models to analyze topic and tone, then matches that understanding with deeper analysis of user viewing history 2

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. Li noted that more than 50% of recommended content in users' feeds is now less than a day old, more than double what it was a year ago, allowing the platform to identify high-quality Reels the moment they're created 1

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. Meta has also deployed its Muse family of LLMs to better classify content by topic and tone, benefiting all its platforms 1

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. Mark Zuckerberg described the change as combining faster inference with new architecture that draws on deeper user history, letting the system predict more accurately what will keep people watching 2

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AI Keeps People on Instagram as Addiction Lawsuits Mount

The timing of Meta's celebration creates an uncomfortable juxtaposition. Even as the company touts how AI keeps people on Instagram, it faces multiple addiction lawsuits alleging it deliberately designs its platforms to be addictive to teens and young adults 1

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. Forty US states have sued Meta for allegedly breaking consumer protection laws and fueling a youth mental health crisis by encouraging excessive time on its platforms. The lawsuits claim Meta ignored internal studies indicating Instagram could harm teenagers' mental health in pursuit of greater profits 1

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. Meta booked a $2.4 billion legal charge in the quarter, and critics argue that a system optimized to maximize time spent is not neutral about what users "choose" 2

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AI-Tuned Recommendations Transform Business Model and Regulatory Risk

For Meta's business, the implications are clear. User engagement serves as the raw material for its advertising machine, and anything that reliably lifts it translates directly into revenue. Every extra minute of scrolling creates another slot Meta can sell to advertisers, which explains why AI-tuned recommendations have become central to the company's enormous AI spending . Meta is now developing next-generation recommendation algorithms designed to power both organic content and targeted advertising 1

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. However, this same technology that reassures Wall Street about returns on AI investment becomes evidence in cases questioning whether those returns come at users' expense. The tension between celebrating personalized content delivery and facing regulatory scrutiny over mental health issues will likely follow Meta into courtrooms and shape public debate about social media's role in society 2

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