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Paperback Why Socialism Always Fails: And Why AI Can't Save It Book

ISBN: B0FNLNMDLF

ISBN13: 9798299498196

Why Socialism Always Fails: And Why AI Can't Save It

Why Socialism Always Fails - And Why AI Can't Save It
Human Nature, Corruption, and the Illusion of Machine Salvation

From the Berlin Wall to Caracas, history is filled with failed socialist experiments. Each promised equality, but all collapsed under the weight of corruption, cronyism, and the fatal flaw of human nature. Productivity withered when effort went unrewarded, black markets thrived as shortages spread, and leaders enriched themselves while ordinary people starved - sometimes hunting flamingos, zoo animals, and even stray pets just to survive.

So why, in the 21st century, is socialism making a comeback? From city halls in America to movements abroad, politicians promise "free" housing, health care, and education - while ignoring the wreckage left by previous experiments.

Now a new idea emerges: maybe artificial intelligence can make socialism work. With its power to analyze data, forecast demand, and allocate resources, AI is seen by some as the long-awaited fix. But this book asks the hard questions:

Can AI overcome corruption, greed, and favoritism - or will it simply reflect them?What happens when governments turn AI into the new authoritarian enforcer?If humans remain in charge, won't the same flaws persist?And if we hand full control to AI, do we risk replacing tyranny by men with tyranny by machines?

Drawing on vivid historical case studies - from Mao's famine-ridden China, to the collapse of the Soviet bloc, to the desperate poverty of modern Venezuela - Don Sumner makes the case that socialism always fails, not because of poor math, but because of human nature itself. And he warns that AI won't fix the problem - it may simply mask it, until freedom is gone and society is enslaved to machines.

If you've ever wondered whether socialism could be redeemed, or whether AI is the solution, this book offers the blunt, unflinching answer: No.

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