A genuinely early field with converging tailwinds
Putting the previous lessons together, there's a real, honest case that robotics is a good field to get into right now, and it doesn't require hype to make it. AI capability is genuinely converging with physical hardware in a way it wasn't a decade ago, foundation models are changing what's possible in perception and control, even if manipulation remains unsolved. Component costs are trending down, widening who can build. Capital is flowing in from multiple independent sources, venture, corporate R&D, and national industrial strategy, rather than depending on any single funding source staying enthusiastic. And demand is backed by slow-moving, structural labor and demographic pressure that isn't going away regardless of how any one company's product roadmap plays out. On top of all that, robotics remains an early enough field that there's real room for new entrants and new companies to matter, unlike, say, search engines or social networks, where the dominant players were effectively locked in decades ago, no segment of robotics covered in this course has a settled, permanent leader the way those mature software categories do.
That combination, converging technology, falling costs, diversified capital, durable demand, and genuine competitive openness, is a legitimately strong case, and it's worth taking seriously on its own terms rather than dismissing it just because parts of the industry (humanoids especially) are also overhyped in places. The honest version of 'why now' doesn't require pretending every problem is solved; it just requires recognizing that the underlying conditions are real.