Key facts
- Instagram CEO Adam Mosseri stated that AI costs have been reduced by discontinuing inefficient projects.
- Mosseri described some AI initiatives as 'silly things' that were burning tokens.
Instagram CEO Adam Mosseri stated that the company has reduced its artificial intelligence spending by discontinuing inefficient projects. He noted that while AI costs may increase due to higher token consumption, prices are expected to decrease as companies compete with advanced models.

The comments from Instagram's CEO highlight the ongoing challenge for major tech companies in managing the escalating costs associated with artificial intelligence development and deployment, and signal a potential shift towards more efficient AI resource allocation.
Instagram CEO Adam Mosseri has stated that the company has successfully reined in its artificial intelligence costs by shutting down inefficient projects. During a recent appearance on 'Lenny's Podcast,' Mosseri mentioned that it was not difficult to eliminate "silly things" that were consuming excessive tokens, which are the fundamental units powering large language models.
Mosseri's comments come amid broader discussions in the tech industry about escalating AI expenses. Companies are grappling with increased AI adoption by employees and the rise of more complex, agentic AI tasks. Uber's chief operating officer, Andrew Macdonald, recently highlighted concerns about Uber's rising AI bills and the limited results achieved.
Looking ahead, Mosseri anticipates that AI costs will continue to fluctuate. He suggested that while token consumption might increase, leading to higher overall spending, the prices of AI models are likely to decrease as companies engage in a pricing war. He compared the management of AI costs to allocating resources like GPUs, storage, RAM, and personnel.
Mosseri also noted a significant shift in team structures at Instagram, with the average team size shrinking from approximately thirteen people to six or seven. This reduction in team size, he believes, allows for faster decision-making and less of a 'designed by committee' approach, reflecting a broader trend in the tech industry.
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