✨ Welcome back, Entrepreneurs

This issue covers new AI workflows from OpenAI, tighter regulation in China, growing privacy debates in consumer AI, rising concentration of AI wealth, platform pushback on low-quality content, and how large incumbents like Disney are integrating AI into core operations.

BIG AI MOVES

🔹 OpenAI Adds Prompt Packs for Every Job

OpenAI released new Prompt Packs through OpenAI Academy, offering ready‑made ChatGPT workflows for roles ranging from engineering and sales to IT support, HR, and even creative or trade jobs. The packs include templates for tasks like system architecture diagrams, outreach strategies, and everyday workflows such as emails, meetings, and problem‑solving.

🔹 Amazon Adds Facial Recognition to Ring Doorbells

Amazon has begun rolling out Familiar Faces, an AI-powered facial recognition feature for Ring doorbells that labels people at your door with personalized alerts like “Mom at Front Door.” While designed to reduce notification fatigue, the update has sparked privacy concerns over biometric data storage, surveillance creep, and Ring’s past security and law-enforcement ties.

🔹 China Clears 700+ Generative AI Models

Cyberspace Administration of China announced that more than 700 generative AI large-model products have completed official filing, clearing them for deployment across the country. The milestone signals China’s rapid shift from experimentation to regulated, large-scale adoption of AI across industry, healthcare, and digital services.

💰AI Boom Adds $500B to Tech Billionaires’ Wealth

A new wealth analysis shows the 2025 AI surge added over $500 billion to the net worth of top U.S. tech founders, driven by explosive gains in chips, cloud, and model‑building infrastructure.

Highlights

• Nvidia, Tesla, Oracle, and AI‑infrastructure stocks led the jump

• Wealth of top tech leaders rose from $1.9T to nearly $2.5T

• Over 50 new AI billionaires emerged globally

Why it matters

This is what an AI super‑cycle looks like: massive value concentrating around infrastructure and model platforms. Expect capital to keep flowing toward chips, data centers, and frontier AI as 2026 accelerates.

🧩 AI‑Generated “Slop” Is Now a Named Problem

NPR reports that 2025 saw an explosion of AI‑generated “slop”, low‑quality text and video flooding feeds, SEO pages, and recommendation systems.​

Highlights

• AI spam and filler content now shape what many people see by default online.​

• Platforms are under pressure to detect, down‑rank, or block low‑signal AI content.​

Why it matters
If you care about real reach, this pushes you toward higher‑signal, brand‑anchored content and away from pure volume plays. The cheap “just crank more AI posts” tactic will get hit hardest as platforms tighten quality filters in 2026

🎬 Disney Quietly Makes Gen-AI Part of Its Operating System

An AI news roundup highlights Disney formally embedding generative AI into content production, post-production, and personalized theme-park experiences while maintaining tight control over rights and intellectual property.

Highlights

• Gen-AI assists with story variations, localization, and asset creation

• Theme parks experiment with more personalized, AI-driven guest interactions

Why it matters

This is what serious AI adoption looks like: integrated deep into operational pipelines, not launched as a flashy demo. Expect other incumbents to follow Disney’s quiet integration + strong guardrails approach as 2026 unfolds.

📊 Automate Data with Genspark AI Sheets

Genspark AI Sheets is a next-gen spreadsheet tool that uses AI to simplify analysis, visualize trends, and cut hours off reporting.

Step-by-step:

• Go to genspark.ai and sign up for free

• Use natural queries like “Show me sales trends” for instant answers

• Auto-detect errors (duplicates, anomalies) without formulas

• Generate smart charts and dashboards in minutes

• Export or share with your team seamlessly

Pro tip: Use plain language prompts (“Compare Q1 vs Q2 sales by region”) Genspark translates them into full insights without manual formulas.

🩺 AIHealthTech Insider: AI Health Hits Its Practical Phase

This week’s stories highlight AI doing what matters most: extracting new clinical value from existing workflows. From routine diagnostics to autonomous care access, these advances show how AI is moving from promise to practice.

👉 Read Issue #80 to see what’s changing.

🚀 Sunday AI: Inside the Next Phase of AI Careers

This week marks a shift from hype to execution. Companies are hiring for AI systems that reason, adapt, and scale — not just generate. Inside: key hiring signals, events to watch, and skills that matter most in 2026.

👉 Read Sunday Special Issue #27.