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The AI race is expanding on two fronts: the hardware powering next-generation models and the tools making AI-generated content more accessible. Perplexity is betting on Nvidia's latest CPU architecture, while Meta is pushing deeper into creative AI with a broader rollout of its Muse Image tools.
Today's stories show how AI innovation is happening across the entire stack, from data centers to content creation.
Here’s what matters today.
Meta Brings AI Image Creation to More Users
Meta has expanded access to its Muse Image generation tools, bringing advanced AI-powered image creation capabilities to a wider audience.
The rollout allows users to generate and edit visuals using natural language prompts, making creative workflows faster and more accessible.
The expansion is part of Meta's broader strategy to embed generative AI across its products and creator ecosystem.
Why it matters
AI-powered content creation is becoming a standard feature across major platforms.
Creators and marketers can produce visual assets faster with fewer resources.
Competition among AI image generation platforms continues to intensify.
Generative AI is increasingly becoming a core part of digital content workflows.
The 10 Best AI Stocks to Own in 2026
AI is moving from experiment… to essential.
Every major industry is integrating it.
Every major company is investing in it.
By late 2025, AI was already an $800B market — growing at a pace that could push it well beyond $1 trillion in the years ahead.
Cloud infrastructure is scaling fast.
AI-enabled devices are multiplying.
Automation is becoming standard.
But here’s the real question…
When trillions flow into this transformation — which stocks stand to benefit most?
Our new report reveals 10 AI stocks positioned across the backbone of this shift — from the companies powering the infrastructure… to those embedding intelligence into everyday systems.
If you want exposure to one of the defining growth trends of this decade, start here.
Perplexity Bets on Nvidia's Next-Generation AI Hardware
Perplexity announced plans to utilize Nvidia's newly introduced CPU technology as part of its growing AI infrastructure strategy.
The move reflects increasing interest in Nvidia's efforts to expand beyond GPUs and provide a broader computing platform for AI workloads, data processing, and enterprise applications.
As AI companies scale their products and user bases, access to high-performance computing infrastructure is becoming a critical competitive advantage.
Why it matters
AI companies are investing heavily in infrastructure to improve performance and reduce costs.
Nvidia is expanding its influence beyond GPUs into broader AI computing ecosystems.
Faster and more efficient hardware can enable better AI experiences for end users.
Infrastructure decisions are becoming as important as model development in the AI race.
4 New AI Tools & Community Workflows
Notebook LLM- Upload research reports, meeting notes, and PDFs to create an AI assistant that answers questions using your own content.
Perplexity Research Workflow- Use Perplexity to generate sourced market research, competitor analysis, and industry summaries in minutes.
Meta AI Creative Studio- Experiment with AI-generated images and creative assets to accelerate social media and marketing content production.
n8n AI Automation Pipeline- Connect AI agents with email, CRM platforms, spreadsheets, and databases to automate repetitive business workflows.
That’s it for today.
The AI space doesn’t slow down - and neither should your thinking.
See you in the next drop.