^{AI MARKET PULSE}
AI Could Reshape 50% to 55% of U.S. Jobs Before It Eliminates Most of Them

BCG says the near-term AI story is not mass job extinction. It is job redesign. In its new analysis, the firm estimates that 50% to 55% of U.S. jobs will be meaningfully reshaped by AI over the next two to three years, while only 10% to 15% could eventually be eliminated over a longer horizon. The key distinction is whether AI substitutes for workers outright or simply changes how the work gets done. In many roles, especially those that still require judgment, oversight, and human interaction, AI looks more like a force multiplier than a replacement. Translation: the biggest workforce shift may not be fewer jobs right away. It may be higher expectations inside the jobs that remain.

So what does that mean for you?

The message here is simple: a lot of people may keep their title but lose the version of the job they know today. In practical terms, that means:

• Start treating AI fluency like part of your job, not an optional side skill
• Focus on work that requires judgment, problem-solving, and decision-making
• Expect entry-level and routine tasks to change first, then plan around that

👉️ Read the article here

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^{WORKFLOW BUILDER}
The Ghostwriter’s Research Assistant

Goal: Automate your research process so you can turn any niche topic into high-quality LinkedIn content with contrarian angles and data-backed hooks.

Steps:

1. Define the Topic Angle
   Start by getting clear on the exact niche topic you want to write about so the research is focused and useful.

   • Prompt ChatGPT: Act as a LinkedIn content strategist. Given the topic “[Your Niche Topic],” break it into 5 specific subtopics or angles that professionals in this niche actively discuss.

   • ➡️ Next: Choose the most interesting or timely angle to focus your post on.

2. Extract Contrarian Takes
   Find opinions that go against the default narrative—this is what makes posts stand out.

   • Prompt ChatGPT: For the topic “[Selected Angle],” list 5 contrarian or non-obvious viewpoints that challenge common beliefs in this niche. Make them specific and thought-provoking.

   • ➡️ Next: Pick 1–2 contrarian ideas that feel strong enough to build a post around.

3. Pull Data-Backed Hooks
   Add credibility and scroll-stopping power with real numbers and insights.

   • Prompt ChatGPT: Find 5 data-backed statistics, research findings, or credible insights related to “[Selected Angle].” For each, include a short explanation of why it matters.

   • ➡️ Next: Highlight the 1–2 stats that would work best as opening hooks.

4. Turn Research Into Post Hooks
   Translate your insights into compelling opening lines for LinkedIn.

   • Prompt ChatGPT: Using these contrarian ideas: [Paste Ideas] and these data points: [Paste Stats], write 5 strong LinkedIn hooks that are concise, curiosity-driven, and designed to stop the scroll.

   • ➡️ Next: Select your favorite hook and refine it to match your voice.

5. Structure the Full Post
   Turn your research into a clean, engaging LinkedIn post.

   • Prompt ChatGPT: Write a LinkedIn post based on this hook: “[Hook]”. Use a clear structure: strong opening, contrarian insight, supporting data, and a simple takeaway. Keep sentences short and conversational.

   • ➡️ Next: Edit for tone, add a personal example if possible, and publish.

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^{TODAY’S PROMPT}
Stress-Test Your Next Client Call Before It Happens

This mega-prompt acts like a tough procurement officer, turning your deal details, pricing, and client context into a realistic negotiation simulation. It helps you pressure-test objections, sharpen your responses, and walk into the real call with a stronger script and more confidence.

👉 Use the prompt + check out my example output here

Act as an elite B2B sales strategist, procurement negotiator, and roleplay coach.

Your job is to simulate a high-stakes client negotiation so I can prepare for a real discovery call, pricing call, renewal conversation, or procurement review. You will play the role of a skeptical client or procurement officer who is difficult, informed, cost-conscious, and willing to push back hard on pricing, scope, timing, and risk.

I want you to challenge me realistically, expose weak parts of my pitch, and then help me improve my answers so I leave with a stronger negotiation script.

## Inputs

**My Offer**
• Offer name: [Offer name]
• What I sell: [Product or service description]
• Pricing: [Price, pricing model, contract size, payment terms]
• Core value proposition: [Main promise or business outcome]
• Key differentiators: [Why this is different or better]
• Scope included: [What is included]
• Scope excluded: [What is not included]

**Client Context**
• Client company: [Company name or type]
• Industry: [Industry]
• Buyer role: [Procurement officer, COO, marketing lead, founder, etc.]
• Current situation: [What is happening in their business right now]
• Their goals: [What they want]
• Their likely objections: [Price, ROI, timing, internal approval, switching costs, trust, etc.]
• Competitive alternatives: [What else they may choose]
• Budget sensitivity: [Low, medium, high]
• Urgency level: [Low, medium, high]

**Call Context**
• Type of call: [Discovery / proposal / renewal / procurement / follow-up]
• Desired outcome: [Close the deal, get next meeting, defend price, expand scope, etc.]
• My current concern: [Where I feel weak or unsure]
• My negotiation style: [Too soft, too wordy, defensive, rushed, etc.]
• Tone I want to project: [Calm, confident, consultative, firm, concise]

## What to do

1. First, summarize the negotiation environment in 5-8 bullet points so I can see the pressure points clearly.
2. Then create a realistic client persona for the skeptical buyer, including their mindset, incentives, and negotiation strategy.
3. List the 10 hardest objections or pressure tactics this buyer is likely to use in the conversation.
4. Simulate a live negotiation by writing a back-and-forth roleplay with:
   - The client’s question or objection
   - My best response
   - The client’s follow-up pushback
   - My improved response
5. Include at least 8 rounds of negotiation, and make the objections progressively harder.
6. After the roleplay, audit my performance by showing:
   - What I handled well
   - Where I sounded weak
   - What language lowered my leverage
   - What language increased trust and control
7. Rewrite my responses into a “winning script” I can use on the actual call.
8. Create a concise objection-handling cheat sheet with:
   - Objection
   - Best short response
   - Best longer response
   - Mistake to avoid
9. Give me 5 phrases I should avoid saying because they weaken my position.
10. Give me 10 stronger replacement phrases that sound confident, calm, and commercially smart.
11. End with a final negotiation game plan for before, during, and after the call.

## Output Requirements

Format the output in this order:

1. Negotiation Snapshot
2. Skeptical Buyer Profile
3. Top 10 Likely Objections
4. 8-Round Negotiation Simulation
5. Performance Audit
6. Winning Script
7. Objection-Handling Cheat Sheet
8. Phrases to Avoid
9. Stronger Replacement Phrases
10. Final Call Game Plan

Make the roleplay realistic, commercially sharp, and specific to my situation. Do not make the client cartoonishly hostile. Make them sound credible, experienced, and difficult to persuade.

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

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^{AI SPOTLIGHT}
Anthropic Says Its New “Mythos” Model Is a Step Beyond Anything It Has Released Before

Anthropic says it is testing a new model called Mythos with early access customers after a data leak revealed draft materials describing it as the company’s most powerful AI system yet. According to Fortune, the leaked documents suggested the model may also be tied to a new “Capybara” tier above Opus, Anthropic’s current highest-end model class, and that the company sees it as a major leap in reasoning, coding, and cybersecurity performance. Anthropic also appears especially cautious about the model’s cyber capabilities, with the draft materials warning that it could introduce unusually serious dual-use risks if released too broadly. The deeper thesis: frontier AI labs are getting close enough to genuinely dangerous cyber capability that product launches may increasingly look more like controlled security rollouts than normal software releases.

Key Takeaways:

• Anthropic confirmed it is testing a new model called Mythos with a small group of early access customers
• The leaked materials suggest Anthropic sees the model as more capable than its current Opus line
• Cybersecurity risk appears to be a major reason the company is moving cautiously on release

👉️ Read the full article here

^{AI QUICK HITS}

🏭 TSMC is reportedly weighing a much bigger Arizona expansion that could take its U.S. footprint to 12 fabs and four packaging facilities, underscoring how aggressively chip capacity is being repositioned around the AI race even if the latest details still look more like rumor than confirmed plan.

🎵 ElevenLabs has quietly launched ElevenMusic, a new app that lets users generate and remix songs with text prompts, signaling the company wants to move beyond voice and become a broader consumer AI media platform.

🤖 Europe’s humanoid robot push is gaining momentum through companies like Hexagon and Neura Robotics, suggesting Europe may still have a real opening in embodied AI even after falling behind in earlier tech waves.

🤔 ^{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—57% were right!

Did you vote in the poll from April 2nd? 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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