Snap spins off AI video team into new company, Dotmo, due to costs

2026-06-18 · Source: AI News & Artificial Intelligence | TechCrunch · Field: Business & Management — Corporate Strategy & Leadership, Entrepreneurship & Start-ups · Depth: Fundamental Awareness, quick

Summary

Snap is spinning off an internal generative AI video team into a new company named Dotmo, citing the high costs of conducting such work internally. Dotmo will focus on developing AI models for interactive gaming experiences. Snap will provide Dotmo with a license to adapt its technology and transfer current staff to the new venture. Snap's Chief Technology Officer, Bobby Murphy, will personally act as lead investor in Dotmo while retaining his full-time role at Snap. In exchange for talent and technology, Snap will receive a large equity stake in Dotmo. This move marks Snap's second major spinoff this year, following the earlier 2026 separation of its AR glasses division, Specs, and comes after recent layoffs affecting 1,000 jobs, or 16% of its workforce. The strategy allows Snap to reduce financial burden while maintaining exposure to potential future gains.

Key takeaway

For executives managing high-cost R&D in emerging tech like generative AI, Snap's Dotmo spinoff offers a strategic blueprint. You can mitigate direct financial burdens by externalizing development while retaining significant upside through equity stakes and technology licensing. This approach allows your organization to explore non-core innovations without fully absorbing their substantial operational expenses, potentially freeing up internal resources for core business priorities.

Key insights

Snap spins off high-cost AI video development into Dotmo, retaining equity and strategic ties to manage expenses and future potential.

Principles

• Spinoffs reduce internal R&D costs.
• Equity stakes preserve future upside.
• CTOs can personally back ventures.

In practice

• Evaluate spinoffs for costly R&D.
• Structure deals with tech licenses.
• Secure equity for future gains.

Topics

• Generative AI
• Corporate Spinoffs
• AI Video
• Interactive Gaming
• Technology Licensing
• Corporate Strategy

Best for: CTO, VP of Engineering/Data, Entrepreneur, Investor, Executive, Director of AI/ML

Related on AIssential

• Apple Wrote a $1 Billion Check to Google Four Days After Settling a $250 Million AI Lawsuit — Apple's \$1 billion Google deal signifies a strategic shift from proprietary AI models to commoditized, swappable backend components.
• A16z leads $16m seed round in Voi cofounder’s new AI startup Pit — Pit's platform enables custom, governed AI software for internal business operations, replacing rigid legacy systems.
• Why Your $50M AI Investment Is Burning on Sand ? — AI failures often stem from inadequate data foundations and organizational permission, not just model algorithms.
• Breaking Down Anthropic's IPO and Nvidia — The AI industry is rapidly diversifying with new models, hardware, and business models emerging across various sectors.
• Donkeys, Not Unicorns — AI's commoditization erodes traditional startup moats, necessitating new entrepreneurial models beyond venture-backed unicorns.
• VERSES AI Announces New Strategic Direction, Discontinuation of AI Operations, and Pursuit of Strategic Alternatives — VERSES AI is discontinuing AI R&D to preserve capital and pursue new strategic alternatives due to financial constraints.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.