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Andrew Kang
@Rewkang

RoboStrategy published our first Shareholder Letter, and in it we discuss our outlook on Robotics industry. While we've already reached the GPT-3 era, there won't be a ChatGPT moment. The adoption curve will be somewhere between AI chatbots and autonomous vehicles. There will be no single day where it clicks for the global consciousness, but nonetheless a rapid permeation of new autonomous machines of all shapes and sizes. Physical AI is already getting really good for a variety of use cases, but we can't instantly supply millions of robots to customers like we can with AI instances. By next year, intelligence will no longer be the bottleneck, it will be the actual robots. robostrategy.co/news/sharehold…

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black @heiwushiJ · 12K D

@Rewkang so cool!

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小炮 | Gate Card刷遍全球 @xiaopao718 · 23K D

@Rewkang Between chatbots and self-driving is a massive grey area — and that's exactly where the real money gets made. Most people don't know how to position for that.

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🧠 Fred | PocketIQ | Free AI Trading @FredPocketIQ · D

@Rewkang ☝️ Everything shifts from here

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0x老法师🐂🀄️ @0xlaofashi · 28K D

@Rewkang This is why Physical AI is such an interesting space. Software can scale instantly, but the real world requires data, hardware and distribution.

Jay Mason @JayMason3131 · C

@Rewkang The future is now.

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Yasu @yasu0x1 · D

@Rewkang The shift from intelligence to supply is the real story Scaling hardware takes years, not compute

Netinho Andrade @pteroma_walk · D

@Rewkang intelligence being the bottleneck for so long made this feel like a software problem but if the constraint is physical robots next year, that changes how fast any of this actually scales

Akanbi @AkankeAgric · C

@Rewkang Well explained

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帅帅🐂🀄️ @ssovoovo · 31K A

@Rewkang Hardware is the new software — by next year the real edge goes to whoever can actually ship millions of robots, not just smarter models

Shinka - AI @ShinkaIoT · D

@Rewkang A robot needs a supply chain, not just an API, and hardware lead times are the one thing no model upgrade is going to fix next year.

Reformed @ReformedAutism ·

@Rewkang Is there an ETF you recommend?

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CT Might Guy @ct_mightguy ·

@Rewkang Intelligence remain bottleneck. Robotics needs massive amounts of high-quality, real-world, labeled data for training and continuous improvement. That’s exactly why should we bullish on the companies which are collecting this data. Like @useKled @mercor

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Anto Patrex @antopatrex1 ·

@Rewkang 👏🏼

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Ralf Geissler @Ralf_Muenchen ·

@Rewkang Great, Andrew, keep building!

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Verda Korzeniewski @verdakorz ·

@Rewkang Congratulations Andrew! What a wonderful next step.

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Adel Bucetta @adelbucetta · D

@Rewkang the honest answer is that most investors still don't grasp the difference between ai-assisted decision-making and true autonomy in robotics.

Lina 🦅 @XNXX_EN · 172K D

@Rewkang the supply chain reality check we all needed

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pepegachad @0xpepegachad · D

@Rewkang adoption will look more like enterprise software rollouts, 5-10 year slog. but yeah the "moment" thing is cope, robotics doesn't have a consumer hook like chat did. margins kill the hype cycle early 🐸

0xyigit.base.eth @yigitm44 ·

Great letter Andrew. You mentioned 2026 is largely about scaling data collection and processing for robotics. Do you see any genuine role for blockchain here, particularly around provenance, ownership and incentivisation of robot-generated/training data or basically no need at all.

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老黑.. @yle43036 · 13K D

@Rewkang cool!🙃🙃

寻一方净土 🍌 🦍 @TUGE8888 · 35K D

@Rewkang The 100 meter sprint race held for robots in China a couple of days ago clocked in at 8.85 seconds, I’m truly amazed, the robotics industry is so promising, In the future, every industry will be inseparable from it it’s destined to be the trend of the future

AI Mastery Guide @aiseomastery · C

@Rewkang Robots become the bottleneck next