That's not my intent. Machine learning as a method of computation isn't the problem.
Among other things, the problem is how the business of AI is sourcing their input training data, how these outputs are being used to manipulate people and markets, etc.
ML is sometimes the best tool for certain computing tasks and succeeds where algorithmic programming fails. Sometimes traditional logic and algorithms is preferable for it's determinism and easily understandable behavior.
The AI industry however is built on exploitation of human and natural resources, and it also built on top of a massive economic bubble and is hurting the market for jobs and human made things.
Comparing AI to human learning is neglecting to acknowledge the problems that we currently face with how AI is currently being trained and deployed by the biggest players in the industry.