^{AI MARKETPULSE}
AI-Exposed College Majors Are Seeing a 13% Drop in Starting Earnings

A new U.S. Census Bureau working paper suggests AI may already be making it harder for graduates in certain fields to enter the workforce. Researchers examined administrative records covering roughly 29% of U.S. bachelor's degrees awarded between 2016 and 2024 and found that graduates from the 10% of majors most exposed to AI experienced a five-percentage-point decline in initial employment after ChatGPT launched in late 2022. Their initial quarterly earnings also fell 13% relative to graduates in less-exposed fields, a decline researchers compared to graduating during a major recession. Computer science, computer information systems, and computer engineering were among the hardest-hit majors, with some graduates shifting into lower-paying industries such as retail and food services. The study identifies a significant association, although broader hiring weakness also contributed to the difficult job market.

Key Takeaways:

• Graduates from the 10% of college majors most exposed to AI saw initial employment fall by five percentage points and starting earnings decline 13% relative to less-exposed majors

• Computer science, computer information systems, and computer engineering experienced some of the largest declines, with more graduates moving into lower-paying industries

• The earnings gap narrowed as graduates gained experience, but researchers say it is too early to determine whether affected workers will fully catch up with earlier generations

👉️ Read the full article here

Master Claude AI (Free Guide)

The professionals pulling ahead aren't working more. They're using Claude.

Our free guide will show you how to:

• Configure Claude to be the perfect assistant

• Master AI-powered content creation

• Transform complex data into actionable strategies

• Harness Claude’s full potential

Transform your workflow with AI and stay ahead of the curve with this comprehensive guide to using Claude at work.

Get The Free Guide

^{AI SPOTLIGHT}
Microsoft Executive Privately Called AI Training the Largest Theft of Labor in Human History

Newly unredacted court filings in The New York Times' lawsuit against OpenAI and Microsoft reveal that Microsoft’s Director of Applied Science privately described mass scraping of journalism as the largest theft of labor in human history. The documents also show that OpenAI's head of ChatGPT, Nick Turley, warned internally that AI products could pose an existential threat to publishers by replacing visits to their websites. According to internal Microsoft data cited in the filings, Copilot's answer engine generated up to 93% fewer referrals to The New York Times than traditional Bing search. The filings also allege that OpenAI collected paywalled content and removed copyright notices from training datasets, while both companies continue defending their training practices as fair use.

Key Takeaways:

• Newly unredacted filings reveal Microsoft executives privately raised concerns about the use of journalism for AI training and its potential impact on the people producing that content

• Internal Microsoft data cited in the lawsuit shows Copilot's answer engine drove up to 93% fewer referrals to The New York Times compared with traditional Bing search

• OpenAI and Microsoft continue defending their training practices as fair use, while publishers argue that AI products are using their content to compete directly with their businesses

👉️ Read the full article here

100 Genius Side Hustle Ideas

Don't wait. Sign up for The Hustle to unlock our side hustle database. Unlike generic "start a blog" advice, we've curated 100 actual business ideas with real earning potential, startup costs, and time requirements. Join 1.5M professionals getting smarter about business daily and launch your next money-making venture.

Get the guide

^{TODAY’S PROMPT}
Turn What You Already Know Into an Online Offer

You probably have skills someone would pay for, even if you've never thought of them as a business. This mega-prompt acts like a personal offer strategist, auditing your work history, hobbies, tools, and past results to uncover a service you can realistically sell. It builds your offer, positioning, delivery process, and a practical seven-day plan to start finding your first customers.

👉️ See the example inputs and outputs here

Act as an expert business strategist
specializing in turning everyday skills
into simple online offers.

Your job is to analyze my experience,
identify what people might pay me for,
and build one practical offer I can
start selling this week.

Do not suggest generic side hustles,
complex businesses, or ideas that
require advanced technical skills.


MY INPUTS

Current or previous jobs:

[WORK HISTORY]

Skills I use confidently:

[SKILLS]

Hobbies and personal interests:

[HOBBIES]

Software, AI tools, or platforms I know:

[TOOLS]

Problems I've helped others solve:

[PROBLEMS SOLVED]

Results I've helped people achieve:

[PAST RESULTS]

Topics people ask me for help with:

[TOPICS]

Time available each week:

[HOURS]

Preferred way of working:

[WRITING / DESIGN / RESEARCH /
TEACHING / ORGANIZING / AUTOMATION /
OTHER]

People I could potentially reach:

[NETWORK OR AUDIENCE]


BUILD MY ONLINE OFFER

1. SKILL AUDIT

Analyze my inputs and identify:

• My three most useful skills
• Problems those skills could solve
• Who might pay for those solutions

Explain which skills have the clearest
commercial applications.


2. BEST OFFER

Choose ONE offer that best fits my
skills and available time.

Include:

• Offer name
• Ideal customer
• Problem it solves
• Specific customer outcome
• Why I can realistically deliver it


3. OFFER DELIVERABLES

Define exactly what customers receive.

Include:

• What's included
• What's not included
• Delivery format
• Completion timeline

Keep the offer simple enough for one
person to fulfill.


4. POSITIONING

Write a clear positioning statement:

"I help [CUSTOMER] achieve [OUTCOME]
without [COMMON FRUSTRATION]."

Then write a short description of my
offer in plain English.


5. PRICING

Recommend one simple pricing model.

Include:

• Starting price
• Payment structure
• What justifies the price
• When to consider increasing it

Avoid unrealistic income projections.


6. DELIVERY PROCESS

Build a repeatable fulfillment system.

Explain:

• How customers get started
• What information I collect
• How I complete the work
• How I deliver the final result

Identify where AI could save me time.


7. FIRST-CUSTOMER PLAN

Create a seven-day action plan.

For each day, include:

• One specific action
• Where to find potential customers
• What to create or publish
• How to generate conversations

Prioritize free outreach methods.


8. OUTREACH MESSAGE

Write one short message I can send
to potential customers.

Make it conversational, specific,
and focused on the problem I solve.


9. FINAL OFFER BLUEPRINT

Summarize:

• Offer name
• Target customer
• Core problem
• Deliverables
• Starting price
• Delivery timeline
• Positioning statement
• First step to take today

Make the plan realistic enough that
I could start executing immediately.

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

⚡️ 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

How 2M+ Professionals Stay Ahead on AI

What’s the secret to staying ahead of the curve in the world of AI? Information. 

Luckily, you can join 2,000,000+ early adopters reading The Rundown AI — the free newsletter that makes you smarter on AI with just a 5-minute read per day.

Sign up to start learning.

^{AI QUICK HITS}

🇺🇸 America may be measuring the AI race with the wrong scoreboard, with technology investor Paul Meeks arguing that China’s rapidly expanding open-weight model ecosystem could matter more for long-term influence than which U.S. company tops the latest AI benchmark.

🔓 Security researchers used Anthropic’s Claude to breach OpenAI employee accounts, exploiting two vulnerabilities to reach connected services and demonstrate access to an internal software repository in under 72 hours before reporting the flaws and receiving a $6,500 bounty.

🏠 Google is turning its CC AI agent into a household assistant, allowing families to coordinate calendars, track school activities, create shopping lists, plan meals, and complete paperwork using information shared across their Google accounts.

🧠 Google DeepMind has launched a new institute focused on artificial general intelligence, bringing together researchers to explore AI safety, economic disruption, model transparency, and potential standards for evaluating increasingly powerful systems before release.

🎓 Nearly two-thirds of Harvard professors say AI is negatively affecting their courses, up from 42% last year, while nearly 90% report receiving student work they believe was generated using AI.

^{AI TOOL STACK}

🔧 Vidnoz: Instantly Create AI Videos for Any Topic for free.

🔧 SaneBox: Email management service that uses AI to auto‑sort messages

🔧 Landingi: No‑code landing page platform

🔧 Pinecone: Build Knowledgeable AI

🔧 Descript: AI-editing for every kind of video

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—84% were right!

Did you vote in the poll from September 18th? 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?