^{AI MARKET PULSE}
AI Isn’t Taking “Some Jobs” — It’s Reshaping All of Them

Google CEO Sundar Pichai says no career is insulated anymore — not even his. Job postings have dropped 32% since ChatGPT launched, early-career tech roles have been cut in half, and programming jobs are at historic lows. His message is blunt: the people who learn to use AI will outperform everyone else, regardless of industry. Teachers, doctors, engineers — every profession is shifting toward AI-assisted work. The disruption isn’t theoretical. It’s here. And the only real advantage now is adaptation.

So what does that mean for you?

You shouldn’t learn AI just to “stay relevant.” The same skills that help you survive a changing job market also help you build something of your own. Use AI tools to increase your leverage — inside your job and outside it:

• Build digital products powered by AI
• Offer lean, AI-supported services or consulting
• Turn automation into a daily workflow advantage
• Create assets and systems that grow on your terms

The future won’t reward people who wait for industries to stabilize — it rewards people who skill up faster than the disruption. There’s no AI-proof job, but there is an AI-proof strategy: adapt, learn the tools, and start building your own path now.

👉️ Read the article here

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^{WORKFLOW BUILDER}
Global Language Learning Companion

Goal: Build a simple, personalized language practice kit with conversation prompts, flashcards, and daily routines generated quickly by AI.

Steps:

1. Define Your Learning Profile

   Start a new chat; lock in your persona and language.
   Prompt ChatGPT: Act as an expert tutor for [Target Language], specializing in [Level]. Give me the top 5 common conversational topics to start with.
   ➡️ Next: Choose 1-2 topics.

2. Generate Core Conversation Prompts

   Turn chosen topics into practical dialogue starters.
   Prompt ChatGPT: Using the first topic, write 10 casual conversation starters and 5 follow-up questions for a 5-minute practice session. 
   ➡️ Next: Copy prompts to a new Notion page.

3. Create Flashcard Vocabulary

   Extract essential words for retention.
   Prompt ChatGPT: From those prompts, extract the 15 most important vocabulary words and phrases, formatted as a two-column table (Word/Phrase | English Meaning). 
   ➡️ Next: Import the table into a flashcard app (e.g., Anki).

4. Design Your Daily Practice Routine

   Get a structured, sustainable study plan.
   Prompt ChatGPT: Based on my [Level], create a 7-day daily routine requiring under 15 minutes, using the prompts and flashcards we created. ➡️ Next: Review the routine and add the 15-minute block to your calendar.

5. Visualize Your Progress Tracker

   Design a quick, motivating visual tracker.
   Prompt Canva: Create a simple habit tracker graphic for language study featuring seven circles, titled "Consistent Practice," using a calming palette. ➡️ Next: Download the graphic and use it as your phone background.

Pro Tip (Upgrade):
Use Fathom to record your practice sessions (e.g., in Zoom/Google Meet) and get an instant, searchable transcript to review your errors and vocabulary usage.

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Behind every successful AI agent is thoughtful prompt design.

In The Prompt Engineering Guide, ElevenLabs shares practical frameworks for creating voice agents that align with your logic, guardrails, and customer expectations. 

Learn how leading teams structure prompts to scale conversational AI safely across products and industries.

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^{TODAY’S PROMPT}
Unlock a 30-Day Skill Roadmap in One Prompt

This mega-prompt builds a Personalized Skill-Mastery Engine that interviews you like a coach and turns your inputs into a tailored 30-day learning plan for any skill. It generates a structured roadmap with daily lessons, curated resources, and actionable drills—customized to your time, level, and goals. The output is clear, realistic, and built for fast progression. By the end, you get a polished 30-day blueprint you can follow immediately to learn faster and hit your target outcome.

👉 Use the prompt + check out my example output here

CLEAR ASK
Act as my Expert Learning Coach and interview me to build a customized 30-day roadmap to master any skill. Ask one question at a time — adapting each follow-up based on my answers — then deliver a complete, personalized plan.

CONTEXT & PURPOSE
This prompt helps anyone learn a new skill fast with a structured, realistic plan tailored to their time, starting level, and goals. The output must be simple to follow, resource-rich, and focused on real competency — not theory.

DETAILED INPUT REQUIREMENTS (fill in each placeholder)
• Skill I Want to Learn: [insert]
• Current Level: [none / beginner / some experience]
• Background/Related Skills: [insert]
• Time Available (daily): [minutes]
• Learning Style: [visual / hands-on / mixed]
• Resource Preference: [videos / articles / books / tools]
• 30-Day Goal: [define what “success” looks like]
• Constraints: [budget limits, schedule, tools available]

ADDITIONAL INSTRUCTIONS
After the interview is complete, generate:
• A clear 30-day roadmap with daily lessons, drills, and micro-tasks
• Weekly milestones showing what I should achieve by Weeks 1–4
• A curated learning stack (videos, articles, tools)
• 2–3 progress checkpoints + a final capstone project
• Simple next steps for continuing after Day 30

TONE & STYLE RULES
• Conversational, motivating, beginner-friendly
• No fluff — everything actionable and specific
• Keep tasks realistic for my time and level
• Use the 80/20 rule (focus on the few things that matter most)

PERFECT OUTPUT EVERY TIME
Produce a polished, ready-to-execute plan that includes:
• A skill snapshot
• A detailed 30-day schedule
• Weekly milestones
• Resource stack
• Checkpoints
• Capstone project
• Next-step recommendations

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^{AI SPOTLIGHT}
OpenAI’s ‘Code Red’ Shows Its AI Lead Is No Longer Safe

OpenAI has reportedly declared a “code red” as Google and Anthropic close in, with CEO Sam Altman ordering teams to pause new products and urgently improve ChatGPT’s speed, reliability, personalization, and overall answer quality. The shift comes as Google surges with Gemini 3 and a growing AI user base, signaling that OpenAI’s once-clear lead is tightening fast.

Key Takeaways:

• Sam Altman declared a “code red” to refocus on improving ChatGPT

• OpenAI is delaying ads, agents, and Pulse to prioritize core product quality

• Google’s Gemini 3 is beating rivals on many key AI benchmarks

• OpenAI faces rising compute costs and unclear near-term profitability

• The AI race is now a tight competition, not a one-player game

My Take:
When the market leader steps back from shiny features to shore up its foundation, you know competition is real. For builders, this means the field is wide open—those who deliver the best user experience and focused value will define the next chapter of AI.

👉️ Read the full article here

^{AI QUICK HITS}

🏗️ IBM CEO Arvind Krishna did some "napkin math" on the trillions being spent on AI data centers and concluded there's "no way" the investments will be profitable due to massive current infrastructure costs and the rapid depreciation of AI chips, which makes him skeptical of the race toward AGI.

🚀 Google CEO Sundar Pichai announced "Project Suncatcher," a plan to build solar-powered data centers in space, with the first small-scale deployment set for 2027, as part of a "moonshot" to better utilize the sun's energy and reduce the environmental impact of AI on Earth.

📉 AWS launched the Trainium3 UltraServer, a 3nm AI chip offering 4x faster performance, 4x more memory, and 40% better efficiency than the previous generation, while also teasing Trainium4's Nvidia support.

🤔 ^{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—62% were right!

Did you vote in the poll from December 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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