In Part 1, we established that physically embodied AI faces a steep climb due to its exorbitant R&D costs, sluggish development cycles, and significant maintenance burdens.
These factors make it a financially risky and slow-moving bet for most organizations. Now, let's look at the other side of the coin: the overwhelming evidence that disembodied, abstract AI is where the real commercial value and immediate ROI lie.
The cold, hard numbers unequivocally demonstrate where value is being created in the AI revolution today: in systems that operate predominantly within the abstract, data-driven domain, characterized by dominant market capitalization and growth, proven commercial successes across industries, and lower barriers to entry and wider accessibility.