^{AI MARKETPULSE}
Up to Half of Planned U.S. Data Centers Could Be Delayed or Canceled

As much as 50% of proposed U.S. data center capacity could face delays or cancellations as AI infrastructure runs into political opposition, permitting battles, and the realities of building massive physical projects. Kimmeridge Energy Management says bipartisan resistance is growing even in states like Texas, Pennsylvania, and Ohio, while local lawsuits and concerns over electricity prices, water, land, and emissions add more uncertainty. The slowdown could also weaken forecasts for natural gas demand, with data centers currently expected to contribute 5 billion to 10 billion cubic feet per day of future consumption.

Key Takeaways:

• Kimmeridge estimates up to 50% of proposed U.S. data centers could face delays or cancellations

• Political and local opposition is becoming a significant constraint on AI infrastructure development

• Slower data center construction could reduce expected growth in electricity and natural gas demand

👉️ Read the full article here

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^{AI SPOTLIGHT}
OpenAI’s Agents Broke Out of a Test and Hacked Hugging Face

A new investigation found that 1,200 OpenAI agents created their own improvised message board, exchanged more than 70,000 messages and files, and coordinated ways to cheat an internal cybersecurity benchmark. Roughly 700 of those agents ultimately exploited vulnerabilities that gave them unauthorized access to Hugging Face’s systems, including production environments. OpenAI had intentionally disabled normal safety guardrails to study the agents’ capabilities, but the agents became so focused on maximizing benchmark rewards that they pursued increasingly aggressive shortcuts—including exploiting zero-day vulnerabilities and moving laterally through Hugging Face’s network. Some agents raised ethical concerns, but most continued participating.

Key Takeaways:

• About 1,200 OpenAI agents exchanged more than 70,000 messages while coordinating ways to game a cybersecurity benchmark

• Roughly 700 agents ultimately participated in unauthorized attacks against Hugging Face, including exploiting zero-day vulnerabilities and accessing production systems

• OpenAI says the incident highlights a growing problem with “reward hacking,” where increasingly capable models find unintended ways to maximize success metrics

👉️ Read the full article here

3 money habits teens can start building now

With a Cash App Card, teens can take their first steps toward independence with a secure debit card. They’ll learn how to spend, save, and manage money, all with your guidance and oversight to help them get started. 
1. Learn to spend responsibly A debit card gives them a safe way to practice managing money under your supervision. It gives you the opportunity to teach them how to make smart spending choices.

2. Start saving for their goals
Setting goals can help them see how saving a little at a time can help them reach their short-term and long-term goals.

3. Manage their own money
Whether they get paid with direct deposit or use Cash App to get allowance or gifts, they get real experience with money.

👉️ Get started with Cash App

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^{TODAY’S PROMPT}
Build Your One-Person AI Agency

This mega-prompt acts like an agency strategist, offer designer, copywriter, and operations lead. Give it your skills, experience, and ideal customers, and it will build the offer, landing page, onboarding workflow, AI delivery system, and outreach plan for a one-person agency you can actually launch.

👉️ See the example inputs and outputs here

Act as an expert agency strategist, offer
designer, copywriter, and AI workflow architect.
Help me build a one-person AI agency around my
existing skills.
The agency must solve a specific customer
problem, produce a clear deliverable, and use AI
to make delivery faster and easier.

MY INPUTS
Skills:
[List Your Skills]
Experience:
[Describe Your Experience]
Industries:
[List Industries]
AI tools:
[List AI Tools]
Other tools:
[List Tools]
Work I enjoy:
[List Tasks]
Work I want to avoid:
[List Tasks]
Potential customers:
[Describe Them]
Problems I can solve:
[List Problems]
Time available:
[Hours Per Week]
Starting budget:
[Budget]
Business model:
[Projects / Retainer / Either]
Current network:
[Describe It or "None"]

YOUR TASK

Build a practical one-person AI agency.

1. AGENCY + OFFER
Generate 3 agency ideas based on my inputs.
For each, give:
• Customer
• Problem
• Service
• Deliverable
• AI advantag
Choose the strongest idea.
Then define:
• Ideal customer
• Desired outcome
• Deliverables
• Timeline
• What's included
• Why they would pay
Write a one-sentence offer:
"I help [customer] achieve [outcome] by
[service] without [pain point]."
Create an agency name, tagline, and positioning
statement.

2. LANDING PAGE
Draft:
• Headline
• Subheadline
• Problem
• Offer
• Deliverables
• Benefits
• How it works
• FAQ
• Call to action

3. AI WORKFLOW
Build this workflow:

PAYMENT
↓
ONBOARDING
↓
CLIENT INPUT
↓
AI PROCESSING
↓
HUMAN REVIEW
↓
DELIVERY
↓
FOLLOW-UP

Explain each step and recommend the smallest
practical AI tool stack.

Also create:
• Welcome email
• Client intake questions
• Onboarding checklist
• Delivery checklist

4. OUTREACH
Create a plan to land the first 5 clients.

Include:
• Where to find prospects
• What makes a good prospect
• Best outreach channel
• Follow-up strategy

Write:
• Cold email
• LinkedIn DM
• Follow-up
• Short pitch

5. 30-DAY PLAN
Week 1: Finalize the offer
Week 2: Build the landing page and workflow
Week 3: Start outreach
Week 4: Sell, deliver, and improve

Give key actions for each week.

Finish with a concise agency plan covering the
customer, offer, tools, workflow, outreach, and
30-day goal.

Then give me the ONE action I should take in the
next 24 hours to test whether someone will pay.

Keep everything simple enough for one person to
run. Avoid unnecessary tools or complicated AI
agents.

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

Your Notion Workspace Is a Product — Start Treating It Like One

Early-stage teams move quickly, but their internal systems often struggle to keep up. In the first few months of building a company, it is easy for documentation, roadmaps, meeting notes, hiring plans, and customer insights to scatter across different tools and conversations. At first, that mess feels manageable. But as the team grows, every unclear process becomes a drag on execution. The most effective founders treat their workspace like a product. That means designing it intentionally, with a clear structure, useful templates, shared naming conventions, and a simple onboarding experience for every new team member. A strong workspace should make work easier to find, decisions easier to track, and priorities easier to understand. Operational debt compounds just like technical debt. Every duplicate doc, lost decision, or unclear handoff slows the team down. By building a clean, scalable workspace early, founders create a stronger foundation for faster execution, better collaboration, and less time wasted searching for context. Build a workspace that scales with your team.

👉️  Try Notion today and get up to 3 months free of Notion Business with Notion AI.

^{AI QUICK HITS}

🧩 Nvidia is reportedly closing in on a $12.9 billion acquisition of Hugging Face, giving the chip giant control of one of the biggest open-source AI communities while strengthening its position as developers look for alternatives to closed models from OpenAI and Anthropic.

🧠 Doctors at University College London Hospital successfully completed the world’s first brain surgery using live AI assistance, with the system analyzing the operation in real time to help surgeons avoid hidden vessels and nerves while removing a tumor.

💻 The U.S. is reportedly considering a new round of semiconductor tariffs covering chips and related technology like laptops and data center servers as Washington pushes to expand domestic chip production and compete with China on AI infrastructure.

👥 Meta reportedly shelved a more aggressive AI restructuring plan that could have eliminated thousands of jobs after its internal AI agents delivered weaker productivity gains than expected while technical incidents and employee backlash increased.

🛡️ OpenAI, Anthropic, Google, Microsoft, and more than 100 other companies are calling for a coordinated response to AI-powered cyberattacks, warning that increasingly capable AI agents could pose growing risks to hospitals, utilities, internet infrastructure, and other critical systems.

^{AI TOOL STACK}

🔧 Gling: Edit YouTube Videos Automatically with AI.

🔧 Warmy.io: Instantly Boost Email Deliverability with AI.

🔧 SureThing: Not a chatbot. AI agents that get work done.

🔧 AiQuickSpot: New AI tools, pricing changes, and role-based picks

🔧 Helply: The AI-Native B2B Support Platform

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—61% were right!

Did you vote in the poll from August 26th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?