Key Takeaways
- Motorola’s new Razr phones feature “Moto AI,” integrating AI from multiple partners like Perplexity, Meta, Microsoft, and Google.
- Instead of building everything in-house, Motorola aims to offer users choice and leverage different AI strengths for specific tasks.
- Features include AI-powered search, notification summaries, contextual suggestions, and enhanced photography.
- This multi-partner strategy could make the Razr one of the most flexible AI phones, but might initially seem complex to users.
Motorola is taking a unique approach to artificial intelligence on its upcoming 2025 Razr phones, packing in capabilities from several major AI players.
Unlike competitors who often focus on their own AI or a single partnership, Moto AI brings together Perplexity, Meta’s Llama AI, Microsoft Copilot, and Google Gemini, alongside Motorola’s own features.
According to insights from CNET, the idea isn’t to present users with confusing separate apps, but to embed these AI services into specific phone functions, making them work naturally in the background or when requested.
This “Swiss Army knife” strategy could quickly give Razr owners versatile AI tools. Partnering widely takes development pressure off Motorola and provides instant access to diverse AI engines.
For instance, Meta’s Llama AI powers a “Catch Me Up” feature to summarize your notifications, while Perplexity AI integration allows for in-depth searches and contextual suggestions based on what’s on your screen via the “Next Move” feature.
You’ll also find Microsoft Copilot accessible for queries via the Moto AI assistant, and Google Gemini available through the familiar power button press, common on many Android devices.
Motorola explained this approach is intentional, aiming to complement standard Android features rather than duplicate them, giving users quick access to their preferred AI, as Allison Yi, a Motorola product lead, told CNET.
Beyond these partnerships, Motorola includes its own AI enhancements, particularly for the camera. This includes better low-light photos using a “Photo Enhancement Engine” and a “Signature Style” feature that uses AI to adjust photo aesthetics.
While offering so many options could initially feel overwhelming, Motorola hopes embedding them into tasks will show users efficient ways to use AI without needing deep technical knowledge.
Some observers note a sense of “AI fatigue” among consumers. The success of Moto AI might depend on how seamlessly these features work without constantly reminding users they are “AI-powered.”
Ultimately, Motorola’s multi-partner experiment could make the Razr highly adaptable and help the company learn exactly what users want from AI on their phones, guiding future developments.
