Joined November 2012
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Thread: How China bought Germany's robotics crown jewel Quick story: I recently called Kuka German in a thread and got called out - "Kuka is Chinese now." This sent me down a rabbit hole. What I found was straight out of Succession, and it reshaped how the West thinks about tech sovereignty. This is the story of how a Chinese appliance company bought Kuka & kick-started China's robot dominance. ⬇️
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I’ll be in Paris next week for Machina. If you want to talk physical AI & robotics - give me a shout!
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Specialists vs Generalist - I think it’s a false dichotomy
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Epoch AI has categorized public robotics PR into what’s evidenced in the lab vs real world. It’s a good start and I’d like to see this expanded to survey what’s being done by end users behind closed doors. That’s where the real signal sits. Worth saying I think their rating is too conservative e.g package sorting is being PoC’d in production. epoch.ai/publications/where-…
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Metal slingers
we must reindustrialize america
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Follow Lukas for the good stuff
dear algo show this to folks that are obsessed with: → robotics → physics → simulation → perception → levels of autonomy → control systems → sensing → mfg processes but also about the industry news, who got funded, who started new robotics business, and who went bankrupt. this is exactly a space where you should be PHYSICAL AI IS NOT A NICHE ANYMORE so, welcome fellow builders! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
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One of the most overlooked factors in robotics: value is not objective. The same benefit has wildly different value depending on the companies capacity to pay & patience.
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10 years ago most VCs would reject robotics on principle. Hardware “couldn’t” be scalable or profitable. Today it’s the second most valuable category in US private markets, behind only AI software. It wasn’t even on the chart in 2016.
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The ecosystem is maturing - More money, more talent & better supply chain, better performance, more money…
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Interesting breakdown of Agility’s cycloidal gear box patent
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The most practical take away: Don’t get stuck in labour arbitrage - find a way to increase your end users revenue and make sure you can quantify it.
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Publishing a new Robotics Business breakdown in the next 24 hours Summary in image Time to settle the debate: Humanoids or special-purpose robots -- who actually wins? Engage with this post and I'll DM you a sneak peek (must be following so I can DM)
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A robotics company just landed a $2.5B public listing, without ever filing for an IPO. How does that even work? That’s the SPAC playbook. Agility Robotics is the latest to use it, and it’s a good moment to explain how these work and why companies pick them. How a SPAC works • A SPAC uses a “blank-check” company, a shell that goes public first with no business at all. SPAC = Special Purpose Acquisition Company • It IPOs, raises a pool of cash that sits in trust, and lists on the exchange as an empty vehicle with one job: find a private company to merge with. • When it finds one, they combine, and the operating company takes over the shell’s existing listing, usually under a new ticker. • The target never runs its own IPO. It inherits one. Agility’s deal, as the example • Merging with Churchill Capital Corp XI (Nasdaq: CCXI), a SPAC from serial sponsor Michael Klein (behind the Lucid and Oklo listings). • Values Agility at ~$2.5B, with $620M in proceeds: Churchill’s trust cash plus a ~$200M PIPE anchored by Foxconn. • Will trade as AGLT. Why companies choose it • Faster and cheaper, because a shell has almost nothing to scrutinise: no business to value, no years of financials to audit, a thin prospectus. • Valuation is negotiated privately with one counterparty rather than set by a live, volatile market, so more speed and more price certainty. • The PIPE brings strategic backers (like Foxconn) in at the same time. • The catch: the hard work doesn’t vanish, it just gets deferred to the merger. This post is for informational purposes only and not a recommendation one way or the other. Do your own research.
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IFR estimates that there were only a total of 30 million commercial robots deployed globally in 2025. It’s still Day 1 for robotics.
What do Elon Musk, Jensen Huang, Brett Adcock and Sam Altman have in common? And how can you get exposure?
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Unitree shipped around 5.5k robots in 2025 but only 3% of them did useful work. Their bet is if you dominate the low hanging fruit like research and entertainment you can expand into the real industrial market. Others are betting that you need to design for industry from day 1. Who do you think is correct? @michellelsun thanks for creating the graphic and the interesting deep dive into Unitree.
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My version of this is the best engineers I ever hired started out as factory technicians. Theoretical knowledge built on top of practical hands on knowledge is so much more durable.
the best factory technicians we ever hired had zero experience and didnt know manufacturing was a path they could go down
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