^{AI MARKETPULSE}
America’s AI Data Center Boom Is Running Into Reality

The U.S. has plans for a massive expansion of AI infrastructure, but getting those data centers built is proving much harder than announcing them. AI companies have proposed 3,969 new U.S. data centers, yet only 802 are currently under construction, and Goldman Sachs expects only about half of the AI computing capacity scheduled through 2028 to arrive on time. The bottlenecks stretch across the entire supply chain: shortages of chips and construction materials, limited grid capacity, lengthy permitting, and major demand for electricians, welders, and plumbers. Public resistance is adding another obstacle, with 71% of Americans opposing new data centers in their area and multiple states considering or adopting temporary restrictions.

Key Takeaways:

• Of nearly 4,000 proposed new U.S. data centers, only 802 are currently under construction, suggesting much of the announced pipeline may never materialize

• Power constraints, equipment shortages, permitting delays, labor availability, and public opposition are slowing the pace of AI infrastructure development

• Data center construction spending is still accelerating, rising 46% year over year in June, even as researchers question how much of the enormous proposed buildout will actually happen

👉️ Read the full article here

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^{AI SPOTLIGHT}
AI Slop Is Making People Trust the Internet Less

The internet has a growing trust problem, and AI-generated content is adding fuel to it. A new Incogni survey found that nearly half of respondents say the rise of AI-generated photos, videos, and news has made them less certain about what’s real, while 27% are tired of wading through AI slop and another 27% say AI makes them want to spend less time online. Privacy concerns are compounding the frustration: more than half believe having their personal data breached is inevitable, while 63% say the possibility of their data being stolen causes anxiety. Social media is taking a hit too, with 47% saying they’ve deleted an account or messaging app because it caused stress or anxiety.

Key Takeaways:

• Nearly half of surveyed users say AI-generated content has made them less certain about what is real online

• More than half believe a personal data breach is inevitable, while 63% report anxiety about potentially having their information stolen

• Growing concerns around AI content, privacy, and excessive screen time are pushing some users to reconsider how much time they want to spend online

👉️ Read the full article here

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^{TODAY’S PROMPT}
Turn LinkedIn Into a 30-Day Content Engine

This mega-prompt acts like a LinkedIn content strategist, turning your expertise, audience, and goals into a complete 30-day posting plan. It maps out daily hooks, post ideas, formats, and CTAs so you can build authority, stay consistent, and generate opportunities without figuring out what to post every day.

👉️ See the example inputs and outputs here

Act as an expert LinkedIn content strategist
specializing in personal branding, audience growth,
authority building, and lead generation.

Your job is to create a complete 30-day LinkedIn
growth plan tailored to my expertise, target
audience, brand voice, and business goals.

MY INPUTS

Role or expertise:
[Your Role or Expertise]

Target audience:
[Who You Want to Reach]

Primary LinkedIn goal:
[Build Authority / Generate Leads / Grow Audience /
Find Clients / Grow Newsletter / Other]

Topics I want to be known for:
[3-5 Core Topics]

Offer, product, or service:
[What You Sell or Promote]

Brand voice:
[Direct / Analytical / Funny / Educational /
Contrarian / Conversational / Other]

Experience or credibility:
[Relevant Experience, Results, Stories, or Insights]

Posting frequency:
[Daily / Monday-Friday / Specific Days]

YOUR TASK

Build a 30-day LinkedIn content strategy designed
around my specific audience and goal.

Do not give me generic topic suggestions.

Every post idea should be specific enough that I
could immediately turn it into a finished post.

1. CONTENT STRATEGY

Identify 3-5 content pillars I should consistently
talk about.

For each pillar, explain:

• What topics belong under it
• Why my audience will care
• What expertise it demonstrates
• How it supports my primary LinkedIn goal

2. 30-DAY CONTENT CALENDAR

Create a day-by-day calendar for the full 30 days.

For every post, provide:

• Day
• Content pillar
• Post format
• Opening hook
• Core post idea
• 3-5 points to cover
• Recommended CTA

Vary the content formats throughout the month.

Use a strategic mix of:

• Personal stories
• Educational posts
• Contrarian opinions
• Tactical how-to posts
• Lessons learned
• Mistakes and failures
• Frameworks
• Lists
• Case studies
• Industry observations
• Engagement questions
• Authority-building posts
• Soft promotional posts

Do not use the same post format on consecutive days.

3. WRITE STRONGER HOOKS

Every post needs a specific opening hook designed
to earn attention.

Avoid generic openings such as:

"Here are 5 tips..."

"Let's talk about..."

"Did you know..."

Instead, use:

• Curiosity
• Specific results
• Unexpected observations
• Strong opinions
• Mistakes
• Personal experiences
• Contrarian ideas
• Useful tension

Make each hook feel distinct.

4. BUILD A CTA STRATEGY

Rotate CTA styles throughout the month.

Use a mix of:

• Comment prompts
• Questions
• Follow prompts
• Save-this-post prompts
• Newsletter or resource mentions
• Soft product or service mentions
• Direct lead-generation CTAs
• No CTA when one is unnecessary

Do not make every post promotional.

5. CREATE A WEEKLY STRATEGY

After the calendar, break the 30 days into weeks.

For each week, explain:

• What authority I am building
• What audience behavior I am encouraging
• Which posts are designed for reach
• Which posts are designed for engagement
• Which posts are designed for leads
• Which posts could be repurposed later

6. BUILD MY EXECUTION SYSTEM

Give me a simple weekly batching system that lets
me create the content efficiently instead of
writing from scratch every day.

Include:

• Which posts to create together
• What information to prepare beforehand
• How to turn one idea into multiple posts
• What to review before publishing
• What performance signals to track

FINAL QUALITY CHECK

Make the strategy specific to my expertise,
audience, goals, and brand voice.

Avoid generic motivational content, repetitive
topics, obvious LinkedIn clichés, and engagement
bait.

Prioritize useful posts that demonstrate expertise
and give readers a reason to follow me.

Make every idea concrete enough that I know exactly
what to write.

If anything is missing, make the most reasonable
assumption and state it briefly before the plan.

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^{AI QUICK HITS}

📹 Someone sawed down and stole all eight Flock Safety license plate cameras in Winona, Minnesota, wiping out the town’s entire automated plate-reading network overnight and leaving police with roughly $24,000 in missing equipment and no suspects.

🏭 Tesla and SpaceX are moving ahead with a massive “Terafab” chip factory in Texas, starting with a $16.8 billion investment as Elon Musk pushes to secure more computing power for AI, robots, autonomous vehicles, and space-based data centers.

🎣 Google says hackers are targeting employees at major U.S. financial firms with old-school phone scams that trick workers into handing over credentials and multi-factor codes, showing that human manipulation is still highly effective even as cyberattacks become more automated.

🔊 OpenAI’s first hardware product is reportedly shaping up as a portable, screenless AI smart speaker expected to cost around $300 to $400, giving the company a new way to bring ChatGPT deeper into everyday life outside the phone and computer.

⚡️ A growing bipartisan backlash against AI data centers is spreading across local communities, where concerns over power, water, noise, jobs, and AI itself are pushing some governments to pause or restrict new construction.

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🤔 ^{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—62% were right!

Did you vote in the poll from August 5th? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

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