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- Race for AI Chip Dominance: USA-China-Taiwan by 2030 🚀
Race for AI Chip Dominance: USA-China-Taiwan by 2030 🚀
Plus: 📩 $100K H-1B Fee & Gold-Card Path: What’s Changing 🇺🇸

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📩 Race for AI Chip Dominance: USA-China-Taiwan by 2030 🚀
What: The article outlines the escalating “AI chip war” between the USA, China, and Taiwan as each vies for dominance by 2030. The U.S. leads in chip design (e.g. NVIDIA, AMD), China is pushing for self-sufficiency despite sanctions, and Taiwan (especially TSMC) remains the manufacturing heart of the world’s most advanced chips.
Why: Because AI chips are fast becoming strategic assets—not just for tech, but for national security, economic power, and supply-chain resilience. The U.S. is using export controls and subsidies (CHIPS Act), China is heavily funding domestic production, and Taiwan’s role is vital yet precarious due to its global importance and geopolitical risks.
Impact: This race could reshape the tech future: more fragmented supply chains, rival AI ecosystems, and increasing tension over access to chip manufacturing. Will innovation slow if countries isolate themselves, or will competition drive breakthroughs in design, efficiency, and manufacture?
As we watch this trilogy of superpowers ramp up investment, the question isn’t just who wins—it’s how the world adjusts. Whether you’re a startup, a nation, or a consumer, the ripple effects will reach every gadget, service, and AI-powered future. Stay tuned: the next 5 years will be decisive.
📩 $100K H-1B Fee & Gold-Card Path: What’s Changing 🇺🇸
What: President Trump has signed an executive order that adds a $100,000 annual fee to H-1B visa applications, a huge jump from the current few thousand dollar range. Also introduced is a “Gold Card” for permanent residency costing $1 million (or $2 million if corporate-sponsored)
Why: The move aims to curb what the administration sees as overuse of H-1B visas by employers, especially for roles that could be filled by U.S. workers. It’s part of a broader effort to tighten legal immigration, increase revenue, and change how high-skilled foreign labor is recruited.
Impact: This could drastically raise costs for tech companies and other sectors reliant on foreign talent. Small firms and early-career professionals may be hit hardest. Will this discourage global expertise from coming to the U.S., or force companies to rethink hiring and outsourcing?
This shift to a steep $100K fee and the Gold-Card route may redefine who gets to work in the U.S. for years to come. If you’re in tech, HR, or considering moving, this is one to watch — and plan for. Want me to dig into how this might affect immigration strategy in Asia or your field?
Download our guide on AI-ready training data.
AI teams need more than big data—they need the right data. This guide breaks down what makes training datasets high-performing: real-world behavior signals, semantic scoring, clustering methods, and licensed assets. Learn to avoid scraped content, balance quality and diversity, and evaluate outputs using human-centric signals for scalable deployment.
📩 Italy Sets New AI Law — First Big EU Move 🇮🇹
What: Italy has become the first EU country to enact a sweeping artificial intelligence law aligning with the EU AI Act. It introduces oversight, traceability, parental consent for users under 14, penalties for deepfake misuse, plus protections around copyright and privacy.
Why: This matters because AI regulation is no longer just theory — it's becoming enforceable law. Italy’s move sets precedents for how member states will implement the EU-wide AI framework. It shows regulators are increasingly worried about AI harms, transparency, and protecting individual rights.
Impact: Expect ripple effects: companies building or deploying AI in Italy (and the EU) will need stronger compliance systems. The law could push developers to build “privacy by design” into their tools. Could this spark a wave of ethical innovation — or simply compliance cost burdens?
Italy’s bold step signals a new chapter in AI’s legal and ethical landscape. If you work with AI (or plan to), there’s a good chance you’ll be navigating similar rules soon. Want me to pull together a snapshot of how other EU states compare — who’s ahead, who’s lagging?
📩 Meta’s Ray-Ban Display Glasses Just Raised the Bar 🤖
What: Meta unveiled its newest lineup at Connect 2025, led by the Ray-Ban Display smart glasses. They feature a built-in, full-color display in the right lens, paired with a “Neural Band” wristband that reads muscle signals to control it. Price: $799; release starts September 30 in the U.S.
Why: Because it marks a leap from passive smart glasses to genuinely “aware” wearables. Instead of pulling out your phone, you get messages, captions, navigation, translation, and more, shown directly in your field of view—all with hands-free gesture controls. Meta aims to make tech more ambient and less intrusive.
Impact: This could shift how we think about wearables: less phone screen time, more real-world awareness, and smarter interactions. But questions remain: battery life in real conditions, the clarity of the display, comfort wearing long-term, and how people feel about having cameras and microphones always with them.
Meta’s Ray-Ban Display glasses might be the first wearable that blends convenience and futuristic tech well enough to matter. If they succeed, we’ll be stepping closer to “smart everywhere” instead of “smart device in hand.” Want me to pull together a comparison vs Apple Vision Pro or others to see where it really stands?
How Canva, Perplexity and Notion turn feedback chaos into actionable customer intelligence
Support tickets, reviews, and survey responses pile up faster than you can read.
Enterpret unifies all feedback, auto-tags themes, and ties insights to revenue, CSAT, and NPS, helping product teams find high-impact opportunities.
→ Canva: created VoC dashboards that aligned all teams on top issues.
→ Perplexity: set up an AI agent that caught revenue‑impacting issues, cutting diagnosis time by hours.
→ Notion: generated monthly user insights reports 70% faster.
Stop manually tagging feedback in spreadsheets. Keep all customer interactions in one hub and turn them into clear priorities that drive roadmap, retention, and revenue.

ChatGPT prompts to save money while travelling

Identify the cheapest travel dates quickly.
Prompt: “Find the lowest-cost departure and return dates within [X-day] window around [target date]. Highlight 2–3 best combos.”
Explore all flight options
Prompt: “List all flights from [Departure City] to [Destination] in the next [X weeks]. Include budget airlines and smaller carriers. Sort by total cost.”
Optimize multi-leg routes
Prompt: “Suggest multi-leg or layover routes from [Departure City] to [Destination] under $[target]. Keep layovers under [X hours].”
Look for promo codes & deals
Prompt: “Find valid promo codes, flash sales, or exclusive discounts for flights on [preferred airlines]. Use verified, up-to-date sources only.”
Check extra fees
Prompt: “Break down all extra fees (bags, seats, boarding). Suggest legal ways to minimize or avoid them.”
Email for discounts or upgrades
Prompt: “Write a polite email asking for a price match, discount, or upgrade. Include reasons I may qualify (fare rules, loyalty, competitor pricing).”
Analyze refund & flexibility options
Prompt: “Check refund, reschedule, and cancellation policies for these flights. Highlight which give the lowest risk if plans change.”
Consider hidden-city tickets
Prompt: “Explain if hidden-city ticketing could reduce my fare from [Departure City] to [Destination]. Include risks, airline rules, and when it’s worth it.”

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