{{first_name | Leader}}, welcome back. Today’s updates:

  • Build smarter AI Agents with MongoDB*

  • Big AI shifts from Nvidia, Nokia, and OpenAI

  • AI is changing how we shop online

  • AI is speeding up scientific discovery

  • Tools, resources, and a prompt for a data-backed summary of how current AI projects are performing. ⬇️

IN PARTNERSHIP

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As a unified vector and document database, MongoDB helps your agents think, plan, and remember:

  • Vector & Hybrid Search for smarter context

  • Short & long-term memory in one place

  • Unified platform from prototype to scale

Turn your next big idea into an intelligent product with MongoDB.

NEWS UPDATES

Big AI Shifts from Nvidia, Nokia, and OpenAI

Nvidia has started producing its new Blackwell AI chips in the U.S., cutting its dependence on overseas suppliers. It also teamed up with Nokia on a $1 billion project to build 5G, 6G, and supercomputing systems. At the same time, OpenAI finalized its restructuring with Microsoft, creating a $130 billion nonprofit foundation for long-term AI research.

For large companies, this means steadier access to computing power and a clearer path to trusted AI partnerships. Expect faster deployments, more transparent pricing, and new models for sharing infrastructure and innovation.

AI Is Changing How We Shop Online

PayPal launched Agent Ready, a tool that lets shoppers pay directly through chat or voice. It also partnered with OpenAI to enable instant payments inside ChatGPT. Amazon added a new feature called Help Me Decide, which recommends products based on a shopper’s behavior.

These moves show how quickly conversational commerce is becoming mainstream. For brands, the shopping journey is shifting from websites to chat windows, and early adopters could see higher conversions and stronger customer loyalty.

AI Is Speeding Up Scientific Discovery

SandboxAQ introduced AQCat25-EV2, a model that helps scientists find chemical catalysts faster. It can be used in energy, automotive, and agriculture to cut research time and cost.

This is another sign that AI is moving beyond software. Companies working with physical products can learn from this, using industry-specific models to test ideas faster and bring innovations to market sooner.

BEST LINKS

One Chart That Matters

Get featured tomorrow: How do you use AI for business/personally? Interesting stories will be shared with 100K curious readers.

Productivity Tools

Hexowatch – Monitors site changes, alerts teams, boosts cross-team visibility in minutes.

CreativAI – Generates marketing copy 10× faster for campaigns, blogs and product pages.

Merative – Surfaces clinical insights from patient data to improve operational decisions.

Netus AI – Flags AI-written text with 99% accuracy, then rewrites it to pass human-authorship checks.

STRATEGIC AI DECISION

Would you trust an AI agent to manage 50% of your sales outreach in 2026?

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MARKET

💰 Funding

  • Testsprite raised $6.7M to build AI-native testing tools that automate quality assurance for modern development workflows.

  • Socratix AI raised $4.1M to create AI coworkers that assist fraud and risk teams with faster, automated decision-making.

💼 Roles in AI

  • Senior Machine Learning Engineer, Security at Dropbox (Remote)

  • Software Engineer, Agentic AI at Robinhood (US)

🐦 AI could automate 300M jobs?

Chatgpt PROMPT TUTORIAL

AI Impact Report Generator

When to use this?
When leaders need a one-page, data-backed summary of how current AI projects are performing.

You are the Chief AI Officer.
Create a concise impact report showing how our AI initiatives are contributing to business results.

Include:

Active AI projects (3–5 lines each)

Key KPIs achieved (time saved, revenue gained, cost reduced)

Underperforming areas and quick fixes

Next 3 strategic priorities for higher ROI

A one-line summary for the leadership slide deck

Keep total output under 300 words and structure it clearly with headers.

Correct Input Style:

“We’re a global SaaS company using AI for lead scoring, marketing automation, and customer support bots.

Q3 metrics: 18 % faster deal cycles, 22 % drop in support costs, but low adoption of internal AI tools.

Goal: summarize impact and priorities for our board update.”

P.S. Get more such prompts in the Prompting Playbook (free for you)

Yesterday's POLL RESULTS

Q. Which of these tasks is LEAST suited for AI automation?

Stay curious, {{first_name | leaders}}

PS. If you missed yesterday’s issue, you can find it here.

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