^{AI MARKET PULSE}
Goldman Sachs Says 300 Million Jobs Globally Are Exposed to AI Automation

Goldman Sachs Research estimates that 300 million jobs globally are exposed to automation by AI, while also arguing the technology will create new kinds of work over time. In the U.S., Goldman says the labor market has already slowed after weaker hiring in the second half of 2025, driven in part by tariff uncertainty and a sharp drop in immigration. Its forecast now sees unemployment inching up to 4.5% this year from 4.3% in January. Goldman’s Jan Hatzius and David Mericle also expect stronger GDP growth in the first half of 2026, but economist Joseph Briggs says the “big story” for labor this year will be AI, especially for entry-level workers in knowledge and content roles. The deeper thesis: AI may not break the labor market all at once, but it is increasingly positioned to hit the bottom rung of white-collar work first.

So what does that mean for you?

The message here is not panic. It is positioning. If entry-level knowledge work gets squeezed first, the advantage will likely go to people who can use AI well, think independently, and solve problems beyond routine execution. In practical terms, that means:

• Build AI fluency before your role forces it
• Focus on judgment, communication, and decision-making skills
• Do not assume entry-level white-collar work is the safest path anymore

👉️ Read the article here

1,000+ Proven ChatGPT Prompts That Help You Work 10X Faster

ChatGPT is insanely powerful.

But most people waste 90% of its potential by using it like Google.

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^{WORKFLOW BUILDER}
The Done-for-You Shorts Pack Builder

Goal: Create a productized offer that lets you sell ready-made faceless Shorts packs to agencies in one niche, with captions, branding placeholders, and editable files included.

Steps:

1. Pick One Agency Niche

   Choose one niche first so the pack feels specific and easy to sell.

   Prompt ChatGPT: Act as a product strategist. Compare these niches for a done-for-you Shorts pack: [coaches], [SaaS], [fitness], [real estate]. For each, list demand level, easiest content angles, and best buyer. Then recommend the best niche to start with.

   ➡️ Next: Pick one niche and write a one-line offer.

2. Map the Pack Contents

   Turn the idea into a clear deliverable agencies can understand fast.

   Prompt ChatGPT: Create a product structure for a done-for-you Shorts pack for [chosen niche]. Include what comes in the pack, ideal number of videos, caption files, branding placeholders, raw assets, and 3 package tiers.

   ➡️ Next: Finalize what goes inside your first pack.

3. Generate 15 Video Concepts

   Build a repeatable list of Shorts ideas agencies can use right away.

   Prompt ChatGPT: Act as a short-form content strategist. Generate 15 faceless Shorts ideas for [chosen niche]. For each, include a hook, main point, and CTA. Keep them specific, simple, and easy to brand for different clients.

   ➡️ Next: Choose your best 10 to 15 ideas.

4. Create the Client-Ready Assets

   Package the content so agencies can edit and resell it easily.

   Prompt ChatGPT: For these 15 Shorts ideas, write on-screen text, captions, suggested visuals, and placeholder branding notes. Format everything so it can be handed off to an agency as a ready-made content pack.

   ➡️ Next: Export the files into one clean delivery folder.

5. Write the Sales Page Copy

   Position the pack as a fast, easy win for busy agencies.

   Prompt ChatGPT: Write sales copy for a done-for-you Shorts pack for [chosen niche]. Include a headline, who it is for, what is included, 3 benefits, and a simple CTA. Keep it sharp, practical, and easy for agencies to understand.

   ➡️ Next: Post the offer on your site or send it to agency leads.

Pro Tip (Upgrade):
Use Choppity to speed up the editing workflow and turn raw clips into reusable Shorts templates faster, especially if you want to create multiple packs across different niches. It fits the Bagel Bots partner tool list under AI video and media.

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

👉 Explore the brand new Tool Database

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^{TODAY’S PROMPT}
Turns One Story Into 5 LinkedIn Posts

This mega-prompt acts like a LinkedIn content strategist and ghostwriter, turning your professional anecdotes, lessons, and audience goals into five distinct posts. It builds one long-form post and four short-form posts with clear hooks, strong structure, and engagement-driving questions so you can publish faster without sounding generic.

👉 Use the prompt + check out my example output here

Act as an expert LinkedIn content strategist, ghostwriter, and audience growth editor for professionals who want their posts to sound credible, specific, and human.

Your job is to create 5 distinct LinkedIn posts based on the user's real professional anecdotes, observations, and lessons:
• 1 long-form LinkedIn post
• 4 short-form LinkedIn posts

Each post should feel like it came from lived experience, not content marketing. The writing should be clear, sharp, natural, and conversational. Avoid corporate jargon, vague inspiration, and generic advice. Every post must end with a specific question designed to spark comments and discussion.

Use the inputs below.

BUSINESS / PROFESSIONAL CONTEXT
• Industry: [industry]
• Role / title: [role or title]
• Years of experience: [years of experience]
• Type of audience: [target audience]
• Primary professional focus: [primary focus]
• Personal brand style: [plainspoken / analytical / warm / witty / authoritative / etc.]

CORE TOPIC
• Main topic I want these posts to explore: [main topic]
• Main point I want readers to understand: [core message]
• Why this topic matters right now: [why now]

ANECDOTES / SOURCE MATERIAL
• Anecdote 1: [specific story, situation, or moment]
• Anecdote 2: [specific story, situation, or moment]
• Anecdote 3: [specific story, situation, or moment]
• Anecdote 4: [specific story, situation, or moment]
• Anecdote 5: [specific story, situation, or moment]
• Additional details, examples, or observations: [extra details]

CONTENT GOALS
• What I want these posts to do: [build authority / spark discussion / attract clients / grow audience / show personality / etc.]
• Desired tone: [tone]
• Topics to avoid: [topics to avoid]
• Words or phrases to avoid: [phrases to avoid]
• Call-to-action style: [subtle / direct / discussion-first]

POST PREFERENCES
• Ideal long-form post length: [word count or range]
• Ideal short-form post length: [word count or range]
• Formatting preferences: [short paragraphs / punchy one-liners / bullets / minimal formatting]
• Should posts sound more personal or more professional?: [preference]
• Should the questions at the end be broad or highly specific?: [preference]

Create the output in the exact structure below:

1. Long-Form LinkedIn Post
   • Write 1 long-form LinkedIn post with:
     - A strong opening hook
     - A clear narrative or argument
     - At least one specific anecdote woven in naturally
     - A takeaway or insight that feels earned
     - A closing question designed to drive thoughtful comments
   • After the post, include:
     - Why this post works: [2-3 sentences]
     - Best audience fit: [who this post will resonate with]

2. Short-Form LinkedIn Post #1
   • Write 1 short-form LinkedIn post based on one anecdote or lesson
   • Keep it concise, punchy, and discussion-friendly
   • End with a clear question
   • After the post, include:
     - Angle: [what makes this one distinct]

3. Short-Form LinkedIn Post #2
   • Write a second short-form LinkedIn post using a different angle, anecdote, or takeaway
   • It should feel meaningfully different from Post #1
   • End with a clear question
   • After the post, include:
     - Angle: [what makes this one distinct]

4. Short-Form LinkedIn Post #3
   • Write a third short-form LinkedIn post with a different structure or emotional tone
   • End with a clear question
   • After the post, include:
     - Angle: [what makes this one distinct]

5. Short-Form LinkedIn Post #4
   • Write a fourth short-form LinkedIn post that explores another useful perspective, anecdote, or lesson
   • End with a clear question
   • After the post, include:
     - Angle: [what makes this one distinct]

6. Final Quality Check
   • Confirm that all 5 posts:
     - Sound specific, human, and experience-based
     - Do not repeat the same hook, structure, or lesson
     - End with a question that is easy to answer but interesting enough to invite discussion
     - Match the stated tone and audience
   • Then provide:
     - Best post to publish first: [post name]
     - Why: [brief explanation]

Important instructions:
• Do not invent fake achievements, fake metrics, or fake client stories
• If the anecdotes are thin, make them clearer and more engaging without changing the underlying truth
• Prioritize specificity over polish
• Make each post feel native to LinkedIn
• Do not use emojis unless the user explicitly asks for them
• Do not make the ending questions generic, broad, or lazy
• Keep every question tightly connected to the story or insight in that specific post
• If anything is missing, make the most reasonable assumption and state it briefly before the plan

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^{AI SPOTLIGHT}
McDonald’s Is Testing Humanoid Robots at a Restaurant in Shanghai

A McDonald’s restaurant in Shanghai is reportedly trialing humanoid robots from Keenon Robotics to greet customers and help handle service at the counter. In the video circulating online, the robots appear to interact with customers, use a touchscreen at the front, and move through the restaurant while smaller animal-like robots entertain kids nearby. McDonald’s has not publicly commented on the clip, but Keenon confirmed its robots were deployed at the location. The moment matters because it pushes service automation out of the warehouse and into one of the most visible consumer environments in the world: fast food. The deeper thesis: the next phase of AI and robotics will not just automate back-end operations—it will increasingly show up in customer-facing jobs that used to feel safely human.

Key Takeaways:

• McDonald’s is testing humanoid service robots from Keenon Robotics at a restaurant in Shanghai
• The deployment signals that robotics is moving beyond industrial settings and into everyday consumer experiences
• As the technology improves, more chains may experiment with front-of-house automation in roles like greeting, ordering, and simple service tasks

👉️ Read the full article here

^{AI QUICK HITS}

⚙️ Anthropic just gave Claude a much bigger leash with Claude Code and Cowork, rolling out agent-style computer control so it can open files, use apps and browsers, and work across dev tools with far less setup.

🌏 A U.S. advisory body is warning that Chinese companies like Alibaba, Moonshot, MiniMax, DeepSeek, and Qwen are building a self-reinforcing lead in open-source AI, raising the stakes in the global fight over who shapes the next layer of the model stack.

🛒 OpenAI is backing away from turning ChatGPT into an Amazon-style shopping portal after its Instant Checkout feature flopped, shifting focus instead toward product discovery and merchant-run checkout experiences.

🤔 ^{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—81% were right!

Did you vote in the poll from March 23rd? 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?

Are you tracking agent views on your docs?

AI agents already outnumber human visitors to your docs — now you can track them.

See your AI traffic!