^{AI MARKET PULSE}
Oracle Reportedly Cut Up to 30,000 Jobs After a 95% Profit Jump

Oracle reportedly sent layoff emails to workers on March 31, with estimates of the cuts ranging from 10,000 to 30,000 employees. The move came after the company posted a 95% year-over-year net income increase to just over $6 billion, even as it faces pressure from a costly AI data center expansion and higher borrowing costs tied to that push. One analysis cited in the article found that cutting 20,000 to 30,000 jobs could save Oracle as much as $10 billion. Translation: AI spending is not just creating new demand—it is also giving large companies cover to aggressively restructure around leaner teams.

So what does that mean for you?

The message is simple: AI investment and job security are increasingly moving in opposite directions inside large companies. In practical terms, that means:

• Treat AI efficiency as a business reality, not a future scenario
• Build skills that make you more valuable than the task itself
• Watch how companies talk about productivity, not just growth

👉️ Read the article here

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^{WORKFLOW BUILDER}
The High-Converting Ad Variant Machine

Goal: Turn one proven ad headline into 10 high-converting variations using different psychological triggers, so you can test faster and find winners without guessing.

Steps:

1. Start With a Winning Headline
   Choose an ad headline that has already performed well so you’re building on proven traction.

   • Prompt ChatGPT: Analyze this ad headline: “[Original Headline]”. Explain why it works, what emotional triggers it uses, and what type of audience it appeals to.

   ➡️ Next: Identify the core promise and main benefit to preserve across variations.

2. Map Psychological Triggers
   Define the angles you’ll use to create variation—this is what drives performance differences.

   • Prompt ChatGPT: Create a list of 10 psychological triggers I can use to rewrite this headline, including FOMO, curiosity, urgency, social proof, authority, contrarian angle, simplicity, speed, exclusivity, and pain avoidance. Briefly explain each.

   ➡️ Next: Select the 10 strongest triggers for your audience.

3. Generate 10 Headline Variations
   Use those triggers to systematically create new angles from the same core idea.

   • Prompt ChatGPT: Rewrite this headline: “[Original Headline]” into 10 variations, each based on a different psychological trigger. Keep each under 12 words and make them feel punchy, clear, and scroll-stopping.

   ➡️ Next: Highlight the 3–5 variations that feel the most distinct.

4. Add Pattern Interrupt Hooks
   Sharpen the best variations so they actually stop the scroll.

   • Prompt ChatGPT: Improve these headlines to make them more attention-grabbing using pattern interrupts (unexpected phrasing, contrast, or bold claims) while keeping them believable: [Paste Top 5 Headlines]

   ➡️ Next: Narrow down to your top 3 final contenders.

5. Prepare for Testing
   Turn your headlines into ready-to-launch ad variations.

   • Prompt ChatGPT: For each of these headlines, write a short 1–2 sentence ad body and a simple call-to-action that matches the tone and promise.

   ➡️ Next: Load these into your ad platform and run a small-budget test.

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^{TODAY’S PROMPT}
The AI Agency Service Menu Builder

This mega-prompt acts like a productization consultant, turning your general AI skills, niche, and target client into three fixed-price service offers people can actually understand and buy. It builds a tiered service menu with names, deliverables, pricing logic, positioning, and upsell paths so you can stop selling “AI help” and start selling clear outcomes.

👉 Use the prompt + check out my example output here

Act as an expert AI agency productization consultant and service offer strategist for solopreneurs and small agencies.

Your job is to turn a person's general AI knowledge, niche experience, and client goals into a clear 3-tier fixed-price service menu that feels productized, easy to buy, and outcome-focused.

The goal is to help them package what they already know into services that are specific, valuable, and realistic to deliver.

Use the information below to create a service menu that is simple, commercially sharp, and beginner-friendly. Do not make it sound vague, overly technical, or bloated. Focus on business outcomes, clear deliverables, and practical positioning.

## INPUTS

### Business Background
• Business or brand name: [Business Name]
• Short description of what I do now: [What I currently do]
• My niche or industry focus: [Niche or Industry]
• My target customer: [Target Customer]
• My current AI skill level: [Beginner / Intermediate / Advanced]
• My strongest AI-related skills: [List of AI skills, tools, or workflows I know]
• My non-AI background or domain expertise: [Relevant experience]

### Offer Direction
• Type of services I want to offer: [Automation / Content / Lead Gen / Research / Customer Support / Internal Ops / Mixed]
• Preferred delivery model: [Done-for-you / Done-with-you / Strategy only / Mixed]
• Desired client size: [Solo creators / Small businesses / Startups / Agencies / Local businesses]
• Main business problem I want to solve for clients: [Core problem]
• Results I want my services to create: [Desired outcomes]
• Services I do NOT want to offer: [What to avoid]

### Practical Constraints
• How much time I can spend per client each week: [Hours]
• Whether I want recurring retainers, one-off projects, or both: [Retainer / One-off / Both]
• My ideal pricing position: [Budget / Mid-range / Premium]
• Tools I want to use in delivery: [ChatGPT, Zapier, Notion, Airtable, etc.]
• Tools I do not want included: [Avoided tools]
• My confidence in sales calls: [Low / Medium / High]

### Brand Positioning
• Tone I want my offers to have: [Simple / Premium / Fast-moving / Analytical / Friendly / Direct]
• Words or phrases I like: [Preferred language]
• Words or phrases to avoid: [Avoid language]
• Competitors or examples I like: [Examples]
• What makes me different: [Unique angle]

## TASK

Create a complete 3-tier AI agency service menu. The offers should feel like named products, not vague freelance services. Each tier should clearly increase in value, scope, and price logic.

The service menu should be realistic for a solo operator or small agency to deliver. Keep the structure clean and easy for a prospect to understand in under 2 minutes.

## OUTPUT

Provide your response in the exact structure below:

### 1. Best Positioning Strategy
Start with a short explanation of the best overall positioning angle for this business.
Explain:
1. The most promising service category to lead with
2. Why this angle fits the target customer
3. Which business pain point is most commercially useful to solve
4. What kind of transformation the offers should promise

### 2. Three Productized Service Offers
Create 3 tiered service offers.

For each offer, include:
1. Offer name
2. One-sentence promise
3. Best-fit client type
4. Core business outcome
5. Delivery model
6. What is included (5-8 clear deliverables)
7. Estimated turnaround time
8. Suggested pricing range with brief justification
9. Why this offer is attractive to buyers
10. What makes it different from generic AI consulting

Make the tiers feel like:
• Tier 1 = entry-level / starter
• Tier 2 = core offer / best value
• Tier 3 = premium / highest transformation

### 3. Service Menu Summary Table
Create a clean comparison table with these columns:
• Offer Name
• Best For
• Main Outcome
• Delivery Style
• Timeline
• Pricing Position

### 4. Signature Deliverables
List 5-7 branded or named deliverables I could use across the service menu to make the offers feel more proprietary.
Examples of the style:
• Lead Flow OS
• Content Engine Map
• AI Follow-Up System
Do not copy those exactly unless they truly fit.

### 5. Pricing Logic
Explain the pricing strategy in plain English.
Cover:
1. Why the tiers are priced the way they are
2. How to avoid underpricing
3. Which offer should be positioned as the most popular
4. Which upsell or add-on could raise average order value

### 6. Add-Ons and Upsells
Suggest 5 relevant add-ons or upsells.
For each one, include:
1. Add-on name
2. What it includes
3. When to offer it
4. Why clients would buy it

### 7. Objection Handling
List the 7 most likely buyer objections and give a short, persuasive response to each.

### 8. Sales Page Copy Starter
Write:
1. A short headline for the service menu page
2. A subheadline
3. A short intro paragraph
4. A 1-2 sentence pitch for each of the 3 offers
5. A simple CTA

### 9. Recommended First Offer
Based on everything above, tell me which one offer I should launch first and why.
Keep this recommendation practical based on ease of delivery, buyer clarity, and likelihood of closing.

### 10. 30-Second Offer Pitch
Write a short spoken pitch I could use on a sales call, in a DM, or on my website to explain what I do clearly.

## QUALITY RULES

• Make the offers specific, not generic
• Focus on outcomes, not buzzwords
• Avoid vague phrases like “AI transformation” unless tied to a concrete result
• Do not suggest enterprise consulting, courses, or complicated agency models
• Make the offers feel sellable this week
• Keep the writing sharp, clear, and commercially useful
• Assume the user wants simple services they can actually deliver

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

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^{AI SPOTLIGHT}
Anthropic Is Expanding Deeper Into Biotech With a Reported $400 Million Deal

Anthropic has reportedly acquired biotech AI startup Coefficient Bio in a $400 million stock deal, pulling a roughly 10-person team into its growing health and life sciences unit. The startup was founded just eight months ago by two former Genentech researchers and focused on using AI to make drug discovery and biological research more efficient. The move builds on Anthropic’s earlier launch of Claude for Life Sciences and signals that frontier model companies are moving beyond general-purpose chat into high-value scientific domains. The deeper thesis: leading AI firms are increasingly trying to own specialized industry workflows, not just the models that power them.

Key Takeaways:

• Anthropic reportedly bought Coefficient Bio for $400 million in stock
• The acquisition strengthens Anthropic’s push into healthcare and life sciences
• AI companies are increasingly targeting scientific research as a major applied market

👉️ Read the full article here

^{AI QUICK HITS}

🔧 TechCrunch reports that Japan is pushing physical AI from pilot projects into real deployment as labor shortages worsen, with the government aiming to capture 30% of the global market by 2040 and backing the effort with about $6.3 billion.

🩻 The Antoni van Leeuwenhoek Hospital in Amsterdam says new AI software cut MRI scan times from 23 minutes to 9 minutes, improving image quality and letting the hospital perform 18 more exams per week during normal daytime hours.

🧠 CNBC reports that Chinese chip firms are posting record revenue as AI demand and U.S. export curbs push domestic buyers toward homegrown suppliers, with SMIC reporting a record $9.3 billion in 2025 revenue and Moore Threads guiding for as much as 247% year-over-year growth.

🤔 ^{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—53% were right!

Did you vote in the poll from April 4th? 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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