Not considered here is the human abuse of both society and the marketplace by what passes for AI, abuse that has it's roots in the human frailties and failings that have afflicted us since time immemorial. One example of this that is happening right now is the attempt to subjugate and/or outright replace teachers with "AI" systems that have yet to prove themselves superior to human teachers in any way, but will still be leveraged into place in our public education system simply because those pushing it have wealth and access to the halls of power in DC. One absurdity among many that stand out is that those pushing this change assert that by ignoring the actual causes of problems that do affect student outcomes, those problems can be solved....by data. They avert their eyes from recent experiences where the data has pointed to long and well understood problems that the use of data cannot touch since data has no power of persuasion that is greater than let alone comparable to political inertia and the entropy of ideology. The sources of error in one of the primary data collection areas, standardized testing, are ignored, as are the ways that the overall system is being gamed to produce desired economic and ideological outcomes. The very real danger, the harm that is happening now is that the teaching profession in particular and the public education system in general is being reduced to rubble while there is nothing of any quality to replace it with. Another problem too little discussed is that when the sum of knowledge and experience of a profession resides not in humanity but in server farms, it is far more vulnerable to loss via various exercises of malice or by natural disasters. A human reservoir is far more resilient and distributed. It must be acknowledged that not all of the damage being done to public education is being done by "AI" systems, though that is ramping up as the weapon of "AI' becomes understood by those who have malinformed and outright malicious intent about the future of education in America. Stepping back for a wider view, the premise that cradle to grave data collection and analysis will replace human experience and intuition for things like job placement and hiring may in fact come to pass, and the reduction of human experience to what data can capture and explain may in fact replace who we actually are with a dataset of questionable worth. What gets measured gets managed. There are things that big data and AI can do well and efficiently for us, but the admonition "Just because you can, doesn't mean that you should." is not being taken into account. Disruptive change only occurs when a truly superior, fully realized model exists that can fully replace it's predecessor. If that does not exist, then what we are left with is destructive change, often described as building the plane while it is in the air. That shouldn't fly with any of us.