The Rumor Behind the Market Weakness of AI

Recent algorithmic innovation for AI inferential engines appeared quite impressive. Social media like Reddit and LinkedIn are far ahead of the slow peer-reviewed literature, and what appears there, even if a fraction thereto is practical, is quite consequential. New methods to essentializing data are coming forth. This means that AI engines can read volumes of data, extract a highly reduced summary and stores only that summary.

Applied across the board this will allow data centers to shrink. In other words the billions of dollars invested in today's data centers would become a liability as competitors achieve the same AI power over a much smaller data volume.Similarly a new math, "Similarity Calculus" is offering much faster inferential pass ways, making it increasingly likely that the center of gravity will shift to local consumer-holding machines. IBM lost the computing initiative to Bill Gates when it failed to realize that big fat blue computing machines are being replaced by desk tops.

All in all the Implementation of the AI promise may take a different trajectory which will put in disadvantage the trillion-size investment of the behemoths of today,