When Meta shocked the industry with its $14.3 billion investment in Scale AI, the reaction was swift. Within days, major customers (including Google, Microsoft, and OpenAI) began distancing themselves from a platform now partially aligned with one of their chief rivals.
Yet, the real story runs deeper: in the scramble to amass more data, too many AI leaders still assume that volume alone guarantees performance. But in domains like robotics, computer vision, or AR - that demand spatial intelligence - that equation is breaking down. If your data can't accurately reflect the complexity of physical environments, then more is not just meaningless; it can be dangerous.
