"Many executives are cutting software engineering teams because they bought into the fantasy that AI can now build and maintain enterprise applications with only a few people around to supervise the machine. This idea isn't bold or visionary; it's reckless."
"AI can generate code, but it doesn't grasp efficiency like experienced engineers do. It doesn't prioritize cost-efficient architecture or instinctively avoid wasteful service calls and excessive data movement."
"The applications often work, which makes this approach deceptively effective. However, when deployed at scale, the cloud bill skyrockets, leading to multimillion-dollar monthly costs for systems that should never have been built that way."
Executives are mistakenly reducing software engineering teams, believing AI can independently build and maintain applications. While AI can generate code, it lacks the efficiency and cost-awareness of experienced engineers. Initial successes can lead to inflated cloud bills as systems scale, with costs potentially rising from $10,000 to $300,000 monthly. AI-generated code may function but often results in poor architecture and financial irresponsibility, leading to significant technical debt and operational challenges.
Read at InfoWorld
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