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Tech
Jun 19, 2026
Analyzed by Glm 4.5 Flash

Snap Spins Off AI Video Team Into New Company Dotmo to Reduce Costs

AI Summary
Snap is spinning off its generative AI video team into a new company called Dotmo to reduce costs while maintaining equity exposure. The move represents Snap's second major spinoff this year, following the separation of its smart glasses division into Specs.

The Lead

Snap is spinning off its generative AI video team into a new company called Dotmo, citing high internal costs as the primary reason. The move allows Snap to maintain exposure to potential AI breakthroughs while reducing financial burdens, with Snap's CTO Bobby Murphy leading as a significant investor.

The Strategic Spinoff of Dotmo

Dotmo will focus specifically on developing AI models capable of creating interactive gaming experiences. While technically a separate entity, Dotmo maintains close ties to Snap through a technology license agreement. The initial team consists of current Snap staff who are leaving to launch the new venture.

Financial Structure of the Deal

Although not directly funded by Snap, Dotmo will have Bobby Murphy, Snap's CTO, as lead investor with a significant personal stake. In exchange for talent and technology rights, Snap receives a large equity stake in Dotmo, positioning itself for potential future rewards. The company may also seek outside funding in the future.

Industry Implications of AI Spinoffs

This move marks Snap's second major spinoff in 2026, following the separation of its smart glasses division into Specs. Unlike the Specs spinoff, Dotmo focuses on digital experiences outside Snap's core business priorities. Spinoffs serve multiple purposes: cost reduction, showcasing particular assets, generating investor attention, and providing operational flexibility.

Future Outlook for Snap's AI Strategy

By spinning off Dotmo, Snap is strategically balancing cost reduction with maintaining exposure to AI innovation. The company continues to lead GenAI research and development internally while allowing specialized teams to operate with greater autonomy. This approach could become a model for other tech companies looking to manage high-cost AI initiatives while preserving potential upside.