The rollout, which is currently open to Alexa+ Early Access participants across all subscription plans, enhances how the company wants people to discover and interact with music.

Unlike the traditional Alexa that responded to straightforward commands, Alexa+ brings a more conversational and intelligent approach. 

It’s built to talk with users like a knowledgeable music companion, someone who not only takes requests but also understands curiosity. With Alexa+, users can dig into the details of songs, artists, or even eras of music. 

You can ask who influenced a particular artist, what a song means, or find that elusive track you only remember from a movie scene.

Amazon said it’s already seeing strong engagement from users testing the feature. Listeners who used Alexa+ explored three times more songs than those using the old version, and users asking for recommendations listened to nearly 70% more music. 

Those numbers show that people are no longer just pressing play; they’re conversing with their music app.

The feature’s conversational depth is what sets it apart. A user might say, “Play pop songs from the ’90s including Madonna, but skip the boy bands,” or “Make a playlist of 2010s hits that keep me moving fast, starting with a track from Nicki Minaj.” 

Alexa+ then builds dynamic playlists based on tone, tempo, and personal taste. You can even request something as niche as, “Create a music playlist that sounds like a Parisian café and only include songs in French.”

Beyond playlist creation, Alexa+ acts as a musical researcher in your pocket. It can explain the story behind lyrics, trace the origins of samples, or connect artists by genre or geography. 

Asking, “What’s the story behind the lyrics to Hotel California?” or “Recommend some artists from the London punk scene in the ’70s” now leads to detailed, conversational responses rather than robotic answers.

Spotify recently integrated similar conversational features, and Amazon’s move places Alexa+ as a competitor capable of deep engagement and contextual understanding.

The rollout also reveals Amazon’s larger investment in embedding intelligent systems across its ecosystem. Earlier this year, Alexa+ was unveiled as part of Amazon’s broader plan to bring “agent-level” assistance to everyday use, handling not just music, but tasks such as restaurant bookings and grocery orders.

For now, the new feature remains limited to early access users, but a wider release is expected soon. To try it, Amazon Music users can simply update their app, tap the “a” button in the lower right corner, and start talking.

Amazon says, “Alexa+ transforms the way we discover music by offering a more intuitive, conversation-based approach, turning what used to be a basic search function into an interactive discussion guided by your own curiosity.”

These updates, announced at the Mobile World Congress (MWC) 2025 in Barcelona, aim to enhance user experience by making Gemini more interactive and visually responsive. 

With the new “Screenshare” feature, users can share their phone screens with Gemini and receive instant feedback. For example, during the demonstration, a user browsing for a pair of baggy jeans asked Gemini for style recommendations. The AI assistant analysed the screen and provided suggestions on complementary clothing items.

Another addition is a video-based search function, enabling users to film their surroundings while asking Gemini questions. This feature, initially teased at Google I/O last year, allows Gemini to interpret live video feeds and provide relevant responses in real time. 

A demonstration video released by Google showcased a ceramic artist seeking advice on suitable glazes for freshly fired vases.

The video and screen-sharing features will be available later this month to users subscribed to Gemini Advanced through the Google One AI Premium plan on Android devices. 

Google is continually enhancing what Gemini can do, making it a more dynamic tool for everyday interactions.

Built for what the company refers to as the “agentic era,” Gemini 2.0 is designed to understand its environment, think ahead, and take action while keeping user oversight at its core.

Sundar Pichai, CEO of Google and Alphabet, commented on the possibilities of this new model. In his statement, he said: “Information is at the core of human progress. It’s why we’ve focused for more than 26 years on our mission to organize the world’s information and make it accessible and useful. And it’s why we continue to push the frontiers of AI to organize that information across every input and make it accessible via any output, so that it can be truly useful for you.”

Gemini 2.0 represents a huge evolution, bringing multimodal functions and native tool use. With this, Google is now closer to its vision of a universal assistant. 

Pichai added: “If Gemini 1.0 was about organizing and understanding information, Gemini 2.0 is about making it much more useful. I can’t wait to see what this next era brings.”

Enhanced Multimodal Functions

A major feature of Gemini 2.0 is its advanced multimodal functions. Unlike Gemini 1.5, the new model supports inputs across text, images, audio, and video while enabling outputs such as native image generation and multilingual text-to-speech. These innovations bring in richer and more interactive user experiences.

For developers, the experimental Gemini 2.0 Flash model is now available via Google AI Studio and Vertex AI. This version prioritizes low latency and high performance, ideal for dynamic applications. 

Added to these, the new Multimodal Live API allows real-time audio and video streaming, opening possibilities for more immersive use cases.

Expanding AI Integration Across Google’s Services

Starting today, Gemini 2.0’s functions will be accessible to users of the Gemini app, with broader integration into Google products like Search expected by early next year. A feature called Deep Research is also being introduced, which Pichai described as:

“A research assistant, exploring complex topics and compiling reports on your behalf.”

This feature uses advanced reasoning and long-context capabilities to provide deeper insights. It is available in Gemini Advanced starting today.

AI Overviews in Search will also receive enhancements powered by Gemini 2.0, allowing users to tackle complex queries involving multi-step questions, advanced maths, and multimodal inputs. Pichai noted:

“No product has been transformed more by AI than Search. Our AI Overviews now reach 1 billion people, enabling them to ask entirely new types of questions — quickly becoming one of our most popular Search features ever.”

New AI Agents on the Horizon

Google is leveraging Gemini 2.0 to pioneer a new class of AI agents designed to perform complex tasks, including:

• Project Astra: A prototype universal assistant that combines tools like Google Search and Maps while enhancing memory and multilingual dialogue capabilities.
• Project Mariner: An experimental browser assistant capable of interacting with web pages to complete tasks.
• Jules: A coding assistant that integrates with GitHub, enabling developers to plan and execute coding tasks under supervision.

These projects are currently in testing with trusted users as Google fine-tunes their safety and functionality.

Responsible AI Development

Throughout the development of Gemini 2.0, Google has emphasised ethical practices, rigorous safety measures, and collaboration with internal and external experts. 

The model is built using Trillium, Google’s sixth-generation Tensor Processing Units (TPUs), which powered 100% of Gemini 2.0’s training and inference.

Pichai highlighted the importance of these foundational technologies: “2.0’s advances are underpinned by decade-long investments in our differentiated full-stack approach to AI innovation. It’s built on custom hardware like Trillium, our sixth-generation TPUs. TPUs powered 100% of Gemini 2.0 training and inference, and today Trillium is generally available to customers so they can build with it too.”

Gemini 2.0 completely changed the way users interact with AI, offering tools that are intuitive, versatile, and capable of enhancing everyday tasks. From simplifying research to assisting with coding, this next-generation model promises to be a cornerstone of future AI technologies.

Sundar Pichai encapsulated the company’s vision: “Today we’re excited to launch our next era of models built for this new agentic era: introducing Gemini 2.0, our most capable model yet. With new advances in multimodality — like native image and audio output — and native tool use, it will enable us to build new AI agents that bring us closer to our vision of a universal assistant.”