Google, Amazon and Meta Embed AI Into Core Products

Google’s CC AI Agent

Google has announced CC, a new AI agent integrated across Gmail, Google Calendar, and Drive designed to help users plan and manage their daily workflow. The agent generates a personalized “Your Day Ahead” briefing each morning, consolidating upcoming meetings, tasks and relevant context to help users prioritize efficiently. Users can also request CC to draft emails, set appointments, create calendar links, and capture ideas in natural language via email prompts. CC is available in early access to Google AI Ultra and paid subscribers in the U.S. and Canada, with a waitlist open for broader access.

As reported by PYMNTS, OpenAI also released a similar offering on ChatGPT called Pulse.

Built atop Google’s Gemini family of generative models, CC exemplifies Google’s broader push toward proactive AI assistants that do more than respond to a user’s query, they anticipate needs and offer real-time productivity insights.

Unlike rudimentary AI chatbots, CC operates directly within users’ existing productivity workflows, positioning itself as a daily “second brain” rather than a standalone tool. Analysts see this as Google’s attempt to close the gap with rivals like Microsoft’s Copilot and OpenAI’s GPT-powered offerings that are increasingly embedded in workplace productivity tools.

OpenAI Talks With Amazon

In a development with potentially wide-ranging implications for the cloud and AI ecosystem, Amazon and OpenAI are reportedly in talks over a major investment that could top $10 billion and involve deeper collaboration on AI chips and infrastructure, according to Bloomberg. The discussions, still in progress, could see OpenAI lean more heavily on Amazon Web Services (AWS) and AWS-compatible AI silicon as part of its compute strategy.

For AWS, a deeper tie to OpenAI could strengthen its position against rivals like Microsoft Azure and Google Cloud in the highly competitive AI compute market. OpenAI’s computing needs are vast, and diversifying beyond Nvidia-centric GPU infrastructure potentially via custom AWS chips could reduce costs and increase scale.

Kindle’s ‘Ask This Book’ and ‘Recaps’

Amazon is also deploying generative AI in its Kindle ecosystem directly in digital reading experiences. The company recently launched “Ask This Book,” an AI-powered in-book assistant in the iOS Kindle app that lets readers highlight text and ask questions about characters, plot points and themes. The tool is presented as a spoiler-free way to engage with books, drawing only on content already read so as not to reveal future narrative developments.

Alongside this, Amazon has earlier rolled out Kindle “Recaps,” a feature designed to help readers catch up on storylines and characters across a book series through quick summaries before diving into the next installment.

Meta Frontier Models and Smart Wearables

Meta Platforms is undergoing a strategic shift in its AI approach, moving away from open-source AI model development toward commercial, revenue-oriented AI offerings. According to Bloomberg, this pivot involves internal focus and investment in proprietary models, notably an AI project codenamed Avocado, slated for release next spring, designed to compete with offerings from OpenAI, Google and others.

This change reflects Meta’s broader recalibration of how it captures value from its AI investments. Rather than emphasizing open-source research as a community good, Meta appears intent on building closed models that can be monetized directly, increasing revenue potential but also limiting external developer engagement. As PYMNTS reported about Meta’s increased AI infrastructure spend and needs to find monetization channels for AI outside their internal use.

On the hardware front, Meta continues to refine its AI-enabled smart glasses. A recent software update for Ray-Ban Meta and Oakley Meta AI glasses introduced Conversation Focus, which enhances voices in noisy environments, and a Spotify integration that plays music based on what the wearer sees. The update also expands local language support, suggesting Meta’s ongoing investment in global accessibility and real-world AI applications.