^{AI MARKETPULSE}
Meta's AI Spending Spree Is Starting to Worry Investors

Meta is betting bigger than ever on AI, but investors are beginning to question whether the company has anything to show for it. After announcing it would increase capital expenditures from $125 billion to at least $130 billion, Meta's stock fell more than 11% over the following days. Despite strong revenue growth, the company is burning through cash as it pours billions into AI infrastructure while struggling to keep pace with leading models from OpenAI, Anthropic, and Google. Analysts are drawing comparisons to Meta's costly metaverse push, warning that the company may once again be investing far ahead of proven demand.

Key Takeaways:

• Meta plans to increase AI-related capital spending to at least $130 billion despite growing investor concerns.

• Shares fell after earnings as investors questioned whether the company's AI investments are producing meaningful competitive results.

• The pressure is shifting from building bigger AI infrastructure to demonstrating clear business value and long-term returns.

👉️ Read the full article here

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^{AI SPOTLIGHT}
Workers Say AI Is Making Their Jobs Less Meaningful

Businesses continue racing to adopt AI, but many employees are becoming increasingly frustrated with the results. A new survey found that 65% of knowledge workers prefer the pre-AI workplace, while 38% said they would eliminate generative AI altogether if they could. The biggest complaint isn't AI itself—it's dealing with low-quality "AI slop." Nearly half of respondents said correcting poor AI-generated work makes their jobs feel more repetitive, and 42% spend more time fact-checking AI output than they actually save using it. Instead of boosting productivity, many workers say AI is creating more work while adding pressure to match machine-generated output.

Key Takeaways:

• Nearly two-thirds of workers say they preferred work before generative AI became commonplace.

• Forty-two percent spend more time verifying AI-generated work than the time AI actually saves them.

• The growing frustration highlights that successful AI adoption depends less on usage and more on output quality and thoughtful implementation.

👉️ Read the full article here

1,000+ Claude Prompts Top Professionals Actually Use at Work

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^{TODAY’S PROMPT}
Build a Digital Product People Actually Want

This mega-prompt acts like a digital product strategist, turning your niche, audience, and expertise into a tailored pack of product ideas. It helps you uncover practical ebooks, templates, guides, workshops, and other offers you can validate and build without guessing what people might buy.

👉️ See the example inputs and outputs here

Act as an expert digital product strategist,
audience researcher, and offer designer.

Your job is to generate a tailored digital product
idea pack based on my niche, audience, skills, and goals.

Do not give me generic ideas.

Every idea should solve a specific problem, produce a
clear outcome, and be realistic for one person to create.

## INPUTS

My Niche
[Describe your niche]

Target Audience
[Who you want to help]

Audience Problems
[List their biggest frustrations or challenges]

My Skills or Experience
[What you know how to do]

Preferred Product Types
[Ebook, template, guide, workshop, toolkit, etc.]

Main Goal
[Generate leads, build authority, earn sales, etc.]

Time Available to Create
[One day, one week, one month, etc.]

Current Audience Size
[Email list, followers, customers, or none]

Price Preference
[Low-ticket, mid-ticket, premium, or unsure]

Topics I Do Not Want to Cover
[List any exclusions]

## CREATE THE FOLLOWING

### 1. Audience Opportunity Summary

Explain:

• What this audience wants most
• What they are struggling with
• What they are likely to pay to solve
• Which problems are urgent
• Which problems are easy to package

### 2. Ten Digital Product Ideas

Generate ten tailored ideas.

For each idea, include:

• Product name
• Product type
• Problem it solves
• Target buyer
• Core promise
• What is included
• Estimated creation difficulty
• Best price position
• Why it could sell

### 3. Product Mix

Include a balanced mix of:

• Ebooks
• Templates
• Checklists
• Toolkits
• Swipe files
• Mini-workshops
• Short courses
• Resource libraries

Only include formats that fit the audience and topic.

### 4. Top Three Opportunities

Rank the three strongest ideas.

For each one, explain:

• Why it stands out
• Why the audience needs it
• How quickly it could be created
• What makes it different
• The biggest risk

### 5. Best Idea Recommendation

Choose the single strongest product idea.

Explain why it is the best fit for:

• My niche
• My audience
• My skills
• My available time
• My business goal

### 6. Product Outline

Create a complete outline for the recommended idea.

Include:

• Final title
• Subtitle
• Main promise
• Product sections
• Templates or bonuses
• Customer outcome
• Suggested format
• Suggested length

### 7. Validation Plan

Create a simple validation plan.

Include:

• Three questions to ask the audience
• One social post to test interest
• One email to test demand
• One low-effort presale option
• One signal that means move forward

### 8. Launch Angle

Write:

• Three marketing hooks
• Three benefit-driven headlines
• One short product description
• One call-to-action
• One lead magnet idea that supports the product

### 9. Seven-Day Creation Plan

Build a day-by-day plan to create the recommended
product within seven days.

Keep each day's work focused and realistic.

If anything is missing, make the most reasonable
assumption and state it briefly before creating the
idea pack.
```

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^{AI QUICK HITS}

🚰 More than 30 Minnesota water systems were hit by a coordinated cyberattack, prompting state and federal agencies to investigate the incident as concerns grow over AI-assisted attacks targeting critical infrastructure.

🤖 The Trump administration plans to ban imports of Chinese humanoid robots and power inverters, citing national security concerns as physical AI and robotics become increasingly important to U.S. manufacturing and data center infrastructure.

🪪 New EU AI rules now require chatbots, AI receptionists, and AI-generated media to clearly disclose they're not human, marking another major step in regulating how businesses deploy artificial intelligence.

📉 Reddit shares fell 23% despite strong earnings, as investors worried AI-powered search is reducing logged-in user growth by answering questions before people ever visit the platform.

📵 Illinois has officially signed a statewide "bell-to-bell" school cellphone ban into law, requiring districts to limit phone use throughout the school day in an effort to reduce distractions and improve student learning.

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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—76% were right!

Did you vote in the poll from August 1st? 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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