Instagram Head Adam Mosseri Warns Hostility Toward AI Will Continue to Grow
Instagram chief Adam Mosseri says anger over AI will worsen, citing job displacement, content ownership concerns, and a fundamental fear of being left behind.
Public hostility and underlying anxiety surrounding artificial intelligence will intensify over the coming years, according to Instagram head Adam Mosseri. Speaking on the Colin and Samir podcast, Mosseri addressed the rising wave of frustration directed at technology executives, noting that pushback against AI extends well beyond creative professionals and younger demographics.
Mosseri's comments arrived as he discussed Instagram's recent rollout of widescreen and long-form video formats. When asked about recent incidents where college students booed tech CEOs during graduation ceremonies, the Instagram executive admitted that public sentiment regarding AI is becoming increasingly negative, warning that friction across various industries is far from peaking.
Public backlash and the fear of being left behind
In his interview, Mosseri highlighted a growing pattern of frustration and anger surrounding automated systems. He noted that while some criticisms are valid and others are unfounded, the general sentiment will likely deteriorate further over the next few years, creating significant challenges inside and outside the tech sector.
According to Mosseri, this hostility is rooted in several specific anxieties shared by creators, engineers, mathematicians, and the general public. Chief among these concerns is the fear of job displacement as generative tools perform tasks previously handled by human professionals. Additionally, users and creators remain deeply concerned about content ownership, specifically whether their original work is being harvested to train machine learning models without consent. Issues regarding platform safety also play a prominent role.
Ultimately, Mosseri stated that underlying all these issues is a core psychological driver: a pervasive fear of being left behind in a rapidly evolving technological ecosystem.
Managing AI content and the "slop" debate
The discussion also touched on how platforms handle low-quality generative material and misleading media. Mosseri noted that while Instagram does not intentionally rank AI creators differently from human creators, content quality remains a critical factor in feed distribution. Acknowledging that the platform likely does not rank AI content as effectively as human-made posts, he observed that while impressive AI material exists, there is also a substantial volume of low-quality "AI slop." However, Mosseri cautioned that the phrase "AI slop"—a term he previously mentioned in a New Year's slideshow dump—is currently being applied too liberally.
Platform enforcement around synthetic media continues to evolve. Instagram launched a label for AI accounts earlier this year and initiated a targeted crackdown on AI-generated profiles in August. Despite these measures, problems like celebrity deepfakes persist. Mosseri stated earlier this month that while the platform is actively working on solutions for synthetic fakes, blanket bans on AI-generated material are entirely impractical. Instead, Instagram is requiring AI accounts to explicitly label themselves so users can distinguish real content from synthetic media.
What it means for developers
For software engineers and technical teams building AI-powered products, Mosseri's observations highlight a shifting regulatory and platform environment. As major social networks like Instagram establish explicit labeling mandates and refine ranking algorithms to filter out low-quality outputs, developers must integrate clear transparency mechanisms directly into their application pipelines. Tools that generate images, video, or text will increasingly need to support metadata marking and automated disclosure to ensure compliance with platform policies.
At the same time, Mosseri's identification of engineer and creator anxieties underscores the need for responsible integration. Developers must balance rapid capability deployment with considerations around dataset sourcing, content safety, and user provenance. To build and test applications against these evolving standards efficiently, developers can try top AI models cheaply through one API at https://apixoai.online.
Ultimately, as consumer platforms prioritize high-quality outputs over low-value automated content, developers who focus on utility, transparency, and safety will be best positioned to navigate the growing scrutiny surrounding artificial intelligence.
Source: Adam Mosseri says negativity around AI is ‘going to get worse’ — The Verge AI. Written by the Apixo team from that report.
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