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A note on Saturday's headline
In Saturday's edition, the headline read "How Iran's War Threatens the Global AI Supply Chain." What I actually meant to write was "How The War in Iran Threatens the Global AI Supply Chain" — a small but important difference. The possessive made it sound like I was attributing the war to Iran or taking sides, which was never my intention.
The article was about how the conflict in the region poses risks to the global AI supply chain — not about assigning blame to any party. I should have caught this before publishing, and I apologize for the careless wording.
Superintelligence covers how geopolitical events impact the AI industry. It's not my place to take sides in armed conflicts, and I want to make sure my language reflects that.
Sorry for the confusion, and thanks for reading carefully.
In Today’s Issue:
🤖 Agibot hits a massive manufacturing milestone with 10,000 humanoid units
🚨 Anthropic's Claude autonomously discovers a zero-day vulnerability
⚡ Solar power officially crosses the 10% threshold of global electricity
📉 Big Tech companies are increasingly using "AI efficiency"
✨ And more AI goodness…
Dear Readers,
Ten thousand humanoid robots; not rendered, not simulated, but manufactured and deployed across factories, warehouses, and retail floors from Shanghai to the Middle East. That's the milestone Agibot just hit, doubling production in three months flat, while rival Unitree files for a $610 million IPO with 335% revenue growth. China's robotics sector is no longer prototyping the future; it's shipping it on pallets. And that's just one thread in today's issue.
We're also unpacking the biggest liquidity event AI has ever seen: SpaceX, OpenAI, and Anthropic are all racing toward IPOs that could collectively top $3 trillion — and each is rushing to ship flagship models before ringing the bell. Meanwhile, Anthropic's Claude just found a zero-day vulnerability in a major open-source platform live on stage, solar power quietly crossed the 10% threshold of global electricity, and Big Tech is discovering that "AI made us do it" is the perfect cover story for layoffs.
Buckle up — this one's loaded.
All the best,
🚨 Claude Exposes Shocking Security Flaws
In a live demo by Anthropic, its AI model Claude reportedly discovered a zero-day vulnerability in Ghost, a platform with 50,000+ GitHub stars and no prior critical flaws, within just 90 minutes. The AI executed a blind SQL injection, extracted an admin API key, and then repeated a similar attack pattern on the Linux kernel.
AI is becoming capable of autonomously identifying and exploiting complex security gaps faster than human researchers, raising both defensive opportunities and serious cybersecurity risks. Live.
⚡ Solar Power Dominates Global Energy Race
Solar energy has exploded from just 1% of global electricity in 2015 to about 10% in 2025 (2,919 GW), already surpassing nuclear and on track to exceed 20% by 2030. Costs have dropped by ~90%, making solar the cheapest power source globally, down to ~1 cent/kWh in sunny regions—while rapidly replacing coal and gas across major economies like China, the EU, and the US.
The boom is reshaping everything from transport (EV savings up to 80%) to heating (30%+ cheaper with heat pumps), but scaling grids, storage, and digital systems will be critical as electricity demand could double by 2050.
🤖 AI Becomes Layoff Scapegoat Trend
Tech giants like Google, Amazon, and Meta are increasingly attributing mass layoffs to AI advancements, but the reality is more strategic than purely technological. Leaders like Mark Zuckerberg and Jack Dorsey argue AI boosts productivity enough to justify smaller teams, with some companies already generating 25–75% of code using AI tools.
At the same time, massive AI investments - projected at $650 billion across Big Tech - are pushing companies to cut payroll (their biggest expense) to reassure investors and free up capital. In short, AI is both a real productivity driver and a convenient narrative to frame cost-cutting decisions in a more future-focused, less controversial way.
From Concept to Production: Humanoid Robotics at Scale
From Prototype to Production: Humanoids Ship
The Takeaway
👉 Agibot reached 10,000 manufactured humanoid units, doubling its count in just three months — a production acceleration that signals the shift from pilot projects to genuine mass manufacturing.
👉 The robots are already deployed across real industries including automotive assembly, logistics, and retail in markets spanning China, Europe, North America, and the Middle East.
👉 Rival Unitree filed for a $610 million Shanghai IPO with 335% revenue growth and 5,500 humanoid shipments in 2025, confirming that China's humanoid sector is attracting serious capital market interest.
👉 China's deep manufacturing supply chain — the same infrastructure that dominates EVs and consumer electronics — is giving its robotics companies a structural cost and speed advantage over Western competitors still in prototype stages.
The age of mass-produced humanoid robots isn't coming, it's already here. Shanghai-based Agibot just rolled out its 10,000th humanoid robot, becoming one of the first companies globally to hit that milestone at scale. It took just three months to go from 5,000 to 10,000 units, a 4x acceleration compared to the previous production phase. For context, it took the company nearly two years to build its first 1,000.
This isn't a lab demo. A significant portion of those robots are already deployed in logistics, retail, hospitality, and education, not just in China but across Europe, North America, Japan, South Korea, and the Middle East. And Agibot isn't alone. Rival Unitree shipped over 5,500 humanoid units in 2025 alone and just filed for a $610 million IPO on Shanghai's STAR Market, with revenue surging 335% year-on-year.
China's robotics sector is leveraging its deep manufacturing supply chain to move humanoids from prototype to production line faster than anyone expected.
In automotive manufacturing, Agibot's G2 robots are already performing precision assembly with cycle times under 13 seconds and success rates above 99%. This is real industrial deployment, not choreographed demos. The age of robots is here.
Why it matters: China is turning humanoid robotics from a futuristic concept into a scalable industry at breathtaking speed, driven by mature supply chains and aggressive commercialization. With companies like Agibot and Unitree already shipping thousands of units and filing for IPOs, the global race for humanoid dominance is no longer theoretical, it's a manufacturing competition.
Sources:
🔗 https://www.prnewswire.com/news-releases/agibot-reaches-10-000-units-as-real-world-demand-for-robots-accelerates-302728295.html
🔗 https://www.cnbc.com/2026/03/20/unitree-plans-shanghai-ipo-testing-interest-in-humanoid-robots.html
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SpaceX's rising valuation and potential IPO have lifted shares of smaller space rivals like Rocket Lab, AST SpaceMobile, and Viasat, even though many of these companies face the greatest competitive threat if SpaceX extends its dominance in launches and satellite broadband.
AI's Trillion-Dollar IPO Year
2026 is shaping up to be the most consequential year for tech listings in history, and AI is the engine driving it all. Three companies are preparing to go public in what could become a combined $3 trillion event: SpaceX (merged with xAI) is eyeing a June debut at up to $1.75 trillion, OpenAI is targeting Q4 at roughly $830 billion to $1 trillion, and Anthropic, freshly valued at $380 billion, could follow by late 2026.
What makes this even more exciting: both AI labs are racing to ship their most powerful models yet before ringing the bell. OpenAI just finished pretraining "Spud," a model Sam Altman says could "really accelerate the economy," expected within weeks.
Anthropic, meanwhile, confirmed it's testing "Claude Mythos" - described internally as a "step change" in capabilities and potentially launching around its IPO window. These aren't just product updates. They're the flagship demos meant to justify eye-watering valuations to Wall Street (It is, of course, questionable whether Mythos was truly leaked "accidentally" or as a PR stunt in the context of the IPO).
Index providers like S&P, FTSE Russell, and Nasdaq are even considering fast-track rules to absorb these mega-IPOs immediately, bypassing the traditional 12-month waiting period. That's how massive this moment is.
These IPOs will be the biggest liquidity event the AI industry has ever seen, potentially reshaping capital flows across tech for years. The models each company ships before going public will determine whether investors are buying into real capability, or just hype.
Sources:
🔗 https://fortune.com/2026/03/26/anthropic-says-testing-mythos-powerful-new-ai-model-after-data-leak-reveals-its-existence-step-change-in-capabilities/
🔗 https://www.trendingtopics.eu/is-this-gpt-6-openai-bets-everything-on-new-model-spud/
🔗 https://www.bloomberg.com/news/articles/2026-03-18/spacex-fueled-index-rethink-draws-fire-with-trillions-at-stake
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