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AI is a tool. As every other tool under the sun, it has strengths and weaknesses, it's our job, as software engineers to try it out and understand when/how to use it on our workflows, or if if fits our use cases at all.

If you disagree with the above statement, try replacing "AI" with "Docker", "Kubernetes", "Microservices architecture", "NoSQL", or any other tool/language/paradigm that was widely adopted in the software development industry until people realized it's awesome for some scenarios but not a be-all and end-all solution.