Artificial Inteligence
Part 2

The Robotics Economy: Hardware-Software Convergence

The Fusion of Physical Robotics with AI
Four platforms illustrating different scenarios where robots and AI are assisting humans such as in healthcare and education
Published:
April 2025
read time:
5
mins

In the investment world, it's not the obvious that's dangerous; it's what seems obvious. Right now, nothing seems more obvious than the robotics revolution, but we believe that most investors are too focused on just the hardware side.

After exploring the market sentiment towards a robotics future in Part 1, in this piece we address what we consider the central investment reality: the convergence of hardware and software—or, more specifically, the impact of combining robotics with Artificial Intelligence.

We believe that this will result in step-change technological improvements that are going to create extraordinary investment opportunities if approached with the right mindset.

For decades, robots have been highly specialized tools—efficient but inflexible. About 75% remain confined to manufacturing, where environments are controlled and tasks repetitive. And while much of this capacity sits in Asia, in industrial facilities, but what is coming next is very different and will be much more global.

The new paradigm involves robots that learn through demonstration or natural language, adapt to changing circumstances, and make decisions autonomously. The transformation is blurring the line between hardware and software, creating systems where physical capabilities and intelligence are deeply intertwined. Three recent breakthroughs are particularly relevant and worth highlighting.

  • First, computer vision systems now operate with 95%+ accuracy in real-time. That's not just marginally better—it crosses the threshold from "interesting technology" to "commercially viable solution."
  • Second, large language models have slashed robot programming time by approximately 80%. This democratizes access, allowing non-specialists to deploy complex systems. The implications for adoption curves are profound.
  • Third, "embodied intelligence"—robots learning through physical interaction rather than just data processing—represents a genuine paradigm shift. This capability is what transforms robots from factory fixtures to versatile tools for unpredictable, human-centric environments.

What does this mean from an investment perspective? We highlight two industries that we believe are particularly well positioned for dramatic transformation through this hardware-software convergence.

Healthcare is particularly well suited for the transformation, with robotics and AI convergence poised to overhaul the entire patient journey. Think of AI imaging systems that don’t just scan but predict, flagging risks like cancer or stroke with 95%+ accuracy before symptoms even hit. Robotic pharmacies (already a reality) that dispense meds with pinpoint precision, cutting the $42 billion medication-error toll while also syncing with “wearables” that provide data for real-time adjustments.

Surgical assistants that pair sub-millimeter precision with live AI feedback, turning complex procedures into clockwork—in cardiac surgery, such robotic techniques have reduced recovery times by 80%.

This potential for intelligent robots extends beyond traditional medical applications. It encompasses logistics bots hauling hospital supplies, UV-armed autonomous robots slashing infection rates (a $10 billion annual problem), massage robots addressing chronic pain, and exoskeletons for mobility that adapt via embodied intelligence. A fundamental redesign of healthcare delivery, that is already creating compelling investment opportunities across diagnostic, treatment, and administrative domains.

The education sector is another area where we expect robotics and AI to have a game changing impact. Imagine robotic systems in fields like welding or even surgery. These systems would not just provide passive instruction but adapt in real-time—tailoring lessons to a student’s pace, decoding their confusion via visual cues, and simulating hands-on skills with precision. Vision accuracy and language models make such robotic solutions much more viable now. Robots could also streamline administrative overload in school systems—grading, scheduling, compliance—freeing educators to focus on impact.

The $270 billion edtech market is ripe for this shift in delivering personalized skill-building at a fraction of today’s cost.  

The convergence of hardware and software in robotics represents more than a technological upgrade—it's a fundamental restructuring of industrial capabilities. The most compelling investment opportunities will likely emerge from companies that strategically integrating these technologies. Hyperscalers will provide the foundational AI and cloud infrastructure, while

Sector-specific innovators will leverage this backbone to develop tailored robotic solutions in healthcare, education, and beyond.

In Part 3, we'll examine the geopolitical dimension—specifically, the U.S.-China robotics race and its investment implications. This isn't just a technological competition; it's a multi-trillion-dollar economic and strategic contest with profound consequences for global investors.

This content is provided for informational purposes only and does not constitute investment advice. It should not be relied upon as the basis for making any financial or investment decisions.
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