🐦 推特SerenityCodex · 实盘不做把握 8/10
北京时间·🕒 发布 04:32:55时区推断·⟳ 抓取 04:42:51·⚡ 决策 07-06 04:45:36 +2m45s·113.5 天前
社交账号转述4月机器人行业报告，将多家公司列为美国机器人“国家冠军”并讨论供应链脆弱性
该信号是社交账号对4月既有行业报告的转述和观点复述，不包含新订单、政策落地、融资并购、产品发布或业绩增量。
📄 原文Serenity@aleabitoreddit↗ 原文
Came across an interesting report from SVRC Research called "State of Robotics 2026", published in April. Which listed:…
不做 特斯拉（TSLA.US）
超大市值主标的只有旧报告主题背书和社交转述，没有相对市值足够大的新增订单、收入或利润增量。
不做 亚马逊（AMZN.US）
仅被作为物流/电商机器人应用场景提及，没有新增部署、订单、利润率改善或短周期财务传导。
不做 联邦快递（FDX.US）
行业应用场景联想不足以构成联邦快递的直接可量化催化。
不做 通用汽车（GM.US）
正文只是把汽车列为机器人应用方向，没有通用汽车层面的新增基本面信息。
不做 福特汽车（FORD.US）
正文只是把汽车列为机器人应用方向，没有福特汽车层面的新增基本面信息。
展开详情(成交明细 / 研究档案 / 原文全文 / 决策记录链)
研究档案
🔎 新鲜度:最早出现 2026-04 · 扩散 medium · price-in 风险 high ↗
关键理由
- 该信号是社交账号对4月既有行业报告的转述和观点复述，不包含新订单、政策落地、融资并购、产品发布或业绩增量。
- 正文列出的特斯拉、亚马逊、联邦快递、通用、福特等多为宏观机器人主题相关方，但没有短周期可量化的收入、利润、订单或成本传导。
- 机器人供应链脆弱性与2027年可能并购整合属于长期主题判断，不能构成当前可回测交易催化。
主要风险
- 若后续出现官方政策资金、具体并购、明确订单或上市供应链点名，需作为新事件重新评估。
原文全文
展开原文 · 1,687 字
Came across an interesting report from SVRC Research called "State of Robotics 2026", published in April.
Which listed:
1. Figure AI
2. Agility Robotics $CCXI
3. Apptronik
4. $TSLA
5. Boston Dynamics
6. Physical Intelligence
7. 1X Technologies
8. $AMZN Robotics
9. Covariant
10. Skild AI
As the National Champions of the United States robotics program.
"The United States leads the world in where robotics is heading: Fundation models, OpenAI-style scaling laws applied to action, autonomous vehicles.
While losing the race on where robotics is shipping today."
Then it frames:
1. Rare Earths Exposure: from Neodymium for motors to samarium-cobalt for high-temp applications as a critical vulnerability.
2. Actuator dependency. Series elastic actuators, quasi-direct-drive motors, and precision reducers overwhelmingly sourced from Japan, Germany, and China
As one of the main vulnerabilities alongside Manufacturing velocity/data collection cost/regulations. Then their take was:
"With at least six well-funded US humanoid companies competing for a market still in early formation, we expect at least two significant consolidation events (acquisition or merger) in 2027".
With Logistics / E-commerce (like $AMZN / $FDX) and Automotive from $GM to $FORD as being the immediate top use cases for deployment.
I think it's just interesting to see a lot of my points I've been talking about reiterated by research firms. Regardless, I do think it's going to be a major frontier race between the US and China.
Agility Robotics (which I own), Tesla, Figure, and Apptronik as leaders representing the USA. Competing against Unitree, AGIbot, Ubtech, and others in China.
Which listed:
1. Figure AI
2. Agility Robotics $CCXI
3. Apptronik
4. $TSLA
5. Boston Dynamics
6. Physical Intelligence
7. 1X Technologies
8. $AMZN Robotics
9. Covariant
10. Skild AI
As the National Champions of the United States robotics program.
"The United States leads the world in where robotics is heading: Fundation models, OpenAI-style scaling laws applied to action, autonomous vehicles.
While losing the race on where robotics is shipping today."
Then it frames:
1. Rare Earths Exposure: from Neodymium for motors to samarium-cobalt for high-temp applications as a critical vulnerability.
2. Actuator dependency. Series elastic actuators, quasi-direct-drive motors, and precision reducers overwhelmingly sourced from Japan, Germany, and China
As one of the main vulnerabilities alongside Manufacturing velocity/data collection cost/regulations. Then their take was:
"With at least six well-funded US humanoid companies competing for a market still in early formation, we expect at least two significant consolidation events (acquisition or merger) in 2027".
With Logistics / E-commerce (like $AMZN / $FDX) and Automotive from $GM to $FORD as being the immediate top use cases for deployment.
I think it's just interesting to see a lot of my points I've been talking about reiterated by research firms. Regardless, I do think it's going to be a major frontier race between the US and China.
Agility Robotics (which I own), Tesla, Figure, and Apptronik as leaders representing the USA. Competing against Unitree, AGIbot, Ubtech, and others in China.
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