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

  • Agent.AI Challenge: Build. Ship. Win.*

  • Nvidia insiders cash out over $1 billion

  • OpenAI taps Google TPUs

  • Meta seeks $29 billion to build AI data centers

  • Practical tools + must-read resources. Dive in ⬇️

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What you get:

  • Ship a working AI agent you can demo right away.

  • Win a MacBook Air and serious bragging rights if your build tops the list.

  • Get in front of 500,000+ founders, recruiters, and investors.

Create your agent on Agent.AI, drop the link, and claim your seat at the top.

NEWS UPDATES

Nvidia insiders cash out over $1 billion during AI-chip rally

Senior Nvidia executives and directors have sold more than one billion dollars’ worth of shares since summer 2023, even as the stock surged past a 3.8-trillion-dollar valuation. Wall Street still expects demand for Nvidia GPUs to keep climbing, with some analysts now projecting a path toward a six-trillion-dollar market cap.

If your AI plans depend on a steady GPU supply, secure multi-year contracts, or explore alternative accelerators before another price jump hits your budget.

OpenAI taps Google TPUs to cut inference costs

Facing soaring GPU bills, OpenAI has begun running ChatGPT and other models on Google Cloud TPUs. The move shows large models can span multiple silicon vendors without disrupting service. 

Cloud procurement teams should use updated TPU pricing to renegotiate GPU-heavy contracts and hedge against single-supplier risk. Diversifying hardware today can soften future cost spikes or shortages.

Meta seeks $29 billion to build U.S. AI data centers

Mark Zuckerberg is in talks with Apollo, KKR, Brookfield, Carlyle, and Pimco to raise roughly $3 billion in equity plus $26 billion in debt to fund U.S. AI campuses. Cheap capital flowing into hyperscale infrastructure points to sustained demand for compute. 

Enterprises planning heavy AI workloads should lock in data-center capacity early; by 2026, unused racks may be scarce and priced at a premium.

BEST LINKS

Productivity Tools

MagicForm - A no-code high-quality sales rep that books qualified appointments for you day and night.

📸 Clipdrop - An AI-powered tool that allows you to create stunning visuals in seconds.

📧 Lemlist - Helps to build your lead list with verified emails, write and personalize at scale, and send cold emails that actually get customers.

💡 DeskSense - Helps in problem-solving, and content creation across emails, replies, summaries, articles, blog posts, and social media.

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

Useful Resources

  • Set up Gemini CLI in five minutes (link)

  • Run agile sprints with Slack workflows (link)

  • Try Slack’s new AI tools for faster chats (link)

  • How to track project files with version control (link)

  • Step-by-step guide to an account-based marketing plan (link)

STRATEGIC AI DECISION

How does AI contribute to improving business forecasting?

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MARKET

💰 Funding

💼 Who’s Hiring in AI

  • Practice Lead – Cloud at Synechron (US)

  • Senior Data Engineer at Hearst (US)

🐦 30 mins: Investing Masterclass

PROMPT TUTORIAL

Designing a Scalable Onboarding System

Develop a high-impact onboarding framework that integrates learning management systems (LMS), automates documentation workflows, and embeds cultural immersion touchpoints to accelerate productivity and retention at scale. Ensure the system meets the unique needs of [Organization Type/Team], supports [Business Objective], and operates within a [Timeframe] for onboarding completion and engagement tracking. Detail how each element contributes to a seamless new hire experience and long-term organizational success.

Organization Type/Team: [Insert here]

Business Objective: [Insert here]

Timeframe: [Insert here]

P.S. You can still get the Prompting Playbook (free for you)

Stay curious, {{first_name | leaders}}

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

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