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Google and PayPal team up on agentic commerce
Plus: Nvidia buys $5 billion stake in Intel, planning AI chip collaboration

In this Newsletter Today:
Google and PayPal team up on agentic commerce
Nvidia buys $5 billion stake in Intel, planning AI chip collaboration
Atlassian acquires DX, a developer productivity platform, for $1B
AI Tutorial
5 Best AI Tools
TODAY'S AI" NEWS
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Google and PayPal team up on agentic commerce

Google and PayPal have teamed up for a multi-year deal. They will create new shopping experiences using AI agents. Google will provide its AI tools and tech setup. PayPal will add its global payment platform, identity tools, and personalization features. Key Google products will integrate PayPal’s services, such as branded checkout and payout tools.
Key Points:
The companies didn’t share all the details about “agentic shopping experiences.” However, you can expect AI agents to choose, buy, and pay for items for you.
Google will host and enhance PayPal’s infrastructure via Google Cloud.
Both firms are supporting Google’s new Agent Payments Protocol. This open standard lets AI agents trigger purchases. It's already supported by over 60 merchants and financial institutions.
PayPal will be a main payment option in various Google services, including Google Cloud, Google Ads, and Google Play. Its payout services, like Hyperwallet, will also be integrated.
Why it matters:
This is a big step toward a future where AI agents can act on your behalf—not just helping to search or suggest, but handling purchases.
It could make online shopping more seamless (you tell the AI once what you like, and it does purchases later).
Since PayPal is involved, you may receive better identity checks. This can boost trust in agent-initiated purchases and enhance payment security.
There will likely be questions about privacy, control, and mistakes. For example, what happens if an AI agent makes a wrong choice? Also, who is responsible when AI “buys” something?
Nvidia buys $5 billion stake in Intel, planning AI chip collaboration

Nvidia is investing $5 billion in Intel. This gives them about 4% of the company. They are also partnering with Intel to co-develop chips for data centres and PCs. The goal is to combine Nvidia’s AI & GPU strengths with Intel’s CPU, packaging, and x86 ecosystem.
Key Points:
Nvidia will purchase Intel common stock at $23.28 per share. This makes Nvidia one of Intel’s largest shareholders, with about a 4% stake.
What they’ll build together:
Data center custom CPUs made by Intel that integrate into Nvidia’s AI infrastructure.
For PCs, Intel will build SoC (system-on-chip) designs that include Nvidia’s RTX GPU chiplets. These are being called “x86 RTX SoCs” so far.
Integration technology: They will use Nvidia’s NVLink to connect Intel CPUs and Nvidia GPUs quickly. This facilitates fast transfers and is critical for AI tasks that demand huge computation.
Stock market reaction: Intel’s shares shot up ~25-30% after the announcement. Nvidia’s stock also rose, though at a slower rate.
Strategic timing: The deal follows the U.S. government’s ~10% stake in Intel, aimed at boosting domestic chip manufacturing. Intel has been under pressure in recent years, losing ground to rivals in both AI and chip production.
Why it matters:
This is a big change: two long-time rivals are teaming up. They are responding to the rising demands of AI and the need to make chips at home.
Could help Intel regain some leadership in the AI infrastructure race. This is important, especially since Nvidia is very strong in GPUs and accelerators.
Nvidia gains better control and compatibility for its AI platforms. This allows for tighter integration and may lead to more efficient, higher-performance products.
Sets the stage for more teamwork in the chip industry. This is key when blending CPU, GPU, and fast interconnects.
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Atlassian acquires DX, a developer productivity platform, for $1B

Atlassian has acquired DX. This platform helps companies monitor and improve their engineering teams' performance. The deal is worth $1 billion in cash and restricted stock. Atlassian will add DX to its tools for project management and collaboration.
Key Points:
What DX does: DX tracks how productive engineering teams are. It helps spot bottlenecks that slow down software delivery. It provides insights into both numbers and quality.
Customer Base & Growth: DX is young, having launched about five years ago. Still, it’s growing quickly, tripling its customer base each year. It already serves more than 350 enterprise customers, including ADP, Adyen, and GitHub.
Why Atlassian bought DX: After years of trying to create a similar tool in-house, Atlassian leaders decided it was better to buy an established product.
Many DX customers already use Atlassian’s platforms, making the fit very natural.
As AI usage in development tools grows, companies want to know if their investments are effective. They also seek to identify inefficiencies and assess if new tools are making a difference. DX helps provide that feedback loop.
Price & terms: The acquisition cost was about $1 billion in combined cash and restricted stock.
Cultural/strategic alignment: The founders of DX believed that Atlassian's tools fit well with what DX provides. They help customers measure developer performance and remove obstacles. Atlassian said there was good cultural fit too.
Why it matters:
Engineering productivity tools are becoming more important as software stacks grow more complex. As companies rely more on dev teams, they seek better visibility into performance, blockers, and ROI.
Atlassian’s acquisition shows that measuring developer productivity is now a key strategy, not just a bonus.
Customers using Atlassian tools like Jira and Confluence might soon enjoy better integrations. These will help them plan work and track how well their engineering teams are performing.
It might urge competing productivity tools to speed up their innovation or integrations to stay relevant.
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