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Everyone in the US searched for AI bubble so you think it’s the biggest problem now? China might be walking into another tech bubble, this time with humanoid robots!
What are on FIRE 🔥
IN PARTNERSHIP WITH BRIGHT DATA
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AI INSIGHTS
You think AI bubble is enough? Nah, we have a new term. We all know China went all in on humanoid robots. It’s one of 6 industries named by the Communist Party as a national priority through 2030.
At a recent briefing in Beijing, China’s top economic planning agency (NDRC) publicly warned that the humanoid robotics sector is overheating. That’s rare.
150+ robotics companies in China are now building humanoid bots
But most of them all look the same & robot density is rising
→ Too many companies, not enough differentiation, and not nearly enough real-world usage to justify the hype. Meanwhile:
UBTech, a leader in the space, claims billions of yuan in orders
The Solactive China Humanoid Robotics Index is up nearly 30% YTD
Citigroup says the market could hit $7 trillion by 2050
Sounds great, right? But the gap between investment and real adoption is massive. Most bots are dancing at expos, not packing boxes in factories or making coffee in homes.
If this sounds familiar, it’s because it is. This smells like a repeat of China’s 2017 bike-sharing boom, which ended with millions of unused bikes piled in landfills. The government doesn’t want that again.
PRESENTED BY YOU(.)COM
AI is all the rage, but are you using it to your advantage?
Successful AI transformation starts with deeply understanding your organization’s most critical use cases. We recommend this practical guide from You.com that walks through a proven framework to identify, prioritize, and document high-value AI opportunities. Learn more with this AI Use Case Discovery Guide.
AI SOURCES FROM AI FIRE
1. I saved $10K by building this luxury AI website in under 1 hour (full guide). Discover the exact workflow & grab our "Mega Prompt" template!
2. 13 ideas to level up your AI tool stack, with only the useful ones. From speech-to-text & meeting assistants to AI browsers to actually save you time
3. How to build a RAG agent for pennies (using our exact workflow). This no-code guide shows how to build a 10x cheaper RAG agent in minutes
MUST‑READ FOR CLAUDE OPUS 4.5
If your old prompts sounded like “CRITICAL: You MUST use this tool,” you’re probably triggering overkill responses. Opus 4.5 doesn’t need that.
If you want those new habits baked in, Anthropic now offers a Concise Output skill and a Claude Code migration plugin to streamline the transition.
Bottom line: prompt like you're texting a competent colleague. Claude Opus 4.5 takes instructions literally, so overprompting actually hurts performance. It listens too well!
TODAY IN AI
AI HIGHLIGHTS
🎂 Can you believe ChatGPT is only 3 years old? It turns 3 today! It’s still the #1 free app & helped Nvidia surge 979%. Happy birthday to it & here’s what’s coming next!
🍌 Finally, we have one of the most comprehensive yet Free prompt guides for Nano Banana Pro (NOT a random X or Reddit post). Grab it here before it goes paid.
💸 Bad news for Free users. Google & OpenAI tightened free access on Gemini 3 Pro and Sora 2 because their GPUs are "melting." Check exactly how much you lost here.
🧪 A new red-teaming study shows 62% of top AI models fail under poetic prompts.. It's surprising that Google’s Gemini 2.5 Pro failed every single time. Here’s the report.
🦾 Robotic hands are the most complex structures of the whole body. So seeing this realistic robotic hand from a Polish startup is kind of creepy. Watch the demo here.
💰 AI Daily Fundraising: Glasswing Ventures raised a $200M fund, up 30% from their last, aimed at boosting early-stage AI and frontier tech startups.
NEW EMPOWERED AI TOOLS
🖥️ Manus Browser Operator automates tasks on your logged-in sites
🎬 Microsoft’s VASA-1 gets realistic talking videos with precise lip-sync
⚙️ Vercel’s Workflow Builder creates multi-step automations visually
⚡️ Masonry creates images, videos or swap styles, all in one tool
AI RED ALERT
Everyone said AI would replace coders. But, they were only looking at the tip of the iceberg. MIT dropped Project Iceberg, a digital twin of the entire U.S. workforce. It’s one of the most detailed simulations we’ve seen, tracking 151 million American workers, 923 job types, and 32,000 skills:
AI can already automate 11.7% of all U.S. jobs today
It affects $1.2 trillion in wages, and 21 million+ jobs.But here’s the twist: only 2.2% of jobs show disruption in the real world.
MIT calls this the “Surface Index” → what’s been automated so far
Beneath that is a buried iceberg of finance, admin, and healthcare tasks that could be automated but haven’t been yet. So what changed?
The short answer: MCP (Model Context Protocol). Before this, AI tools couldn’t access your actual workflows. That changed in late 2024. Now, MCP lets AI plug directly into real-world tools. And it works across all major models. As of March 2025:
7,950+ MCP servers are active
AI agents now autonomously manage calendars, tasks, reports, invites, bookings, dashboards, everything knowledge workers do
And Project Iceberg tracks all of it live, mapping where AI can now step in. Some U.S. states are already using it to plan retraining programs and upskilling grants!
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