Will physical AI catch up to software anytime soon?
Over the past 3–4 years, software AI has made massive leaps. Today most junior-level digital tasks can already be handled by AI . From writing and design to basic coding and support.
But what about the physical world?
When will we have a home robot that folds laundry, mows the lawn, or handles minor repairs around the house?
Companies like Figure and Boston Dynamics are making impressive progress, no doubt. But compared to software, physical AI still feels far behind. And most of us haven’t seen much real-world impact yet.
My Thoughts:
Hardware is slower – more complex, more costly.
Mass-market adoption needs affordability, not just capability.
One key reason: most venture capital is still flowing toward software, not hardware. It’s faster to build, easier to scale, and has fewer physical limitations.
When do you think physical AI will match the level of digital AI?
Let’s discuss below 👇
Replies
Tough to answer, but not anytime soon. Physical AI will always run the risk of wear and tear, maintenance, and challenges like physical area.
Space and automotive technology maybe...like a smart autopilot system is already a known one.
Another one I read was its use in healthcare for complex surgeries. But maybe it's too far-fetched without supervision. Nobody's gonna like being opened up by a robot.
I am yet to come across major use cases of physical AI, @byalexai