eddie-soehnel-portable-iden.../data/insights-hub/hrecords/5384.json
2026-06-16 13:20:04 -06:00

14 lines
1.4 KiB
JSON
Raw Permalink Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

{
"HubID": "5384",
"Date": "8/18/2025",
"HubTags": [
"External Platform Posts",
"Future Map"
],
"Contacts": "",
"Companies": "",
"File": "",
"Image": "5384__Image_URL.png",
"Summary": "<p>This is a profound and entirely believable signal from one of the leading edge players in humanoid robots about our next major technological transformation. In innovation cycles, technologies typically take about 20 years to mature before hitting a “bang” moment—when they go mainstream—and then another 30 years of widespread buildout. For AI, that moment was November 30, 2022, with the release of ChatGPT, which is why its now referred to as the “ChatGPT moment.” Robotics is next, and once it hits its bang moment, growth will be explosive and adoption ubiquitous. The only factors that could delay this are constraints like energy production, labor shortages, resource limitations, or climate-related crises—but we must plan as if it will happen in the timing suggested by Wang Xingxing because if it does, the changes will be profound. Those preparing now will be positioned to harness the convergence of multiple technologies to create generational wealth, while many incumbents that fail to adapt will disappear very quickly. This is not disruption over a 10-year cycle like we saw with Intel>>>Nvidia, but a few years, where incumbents are just gone. </p>",
"Notes": ""
}