We are currently living through a period of technological saturation. AI is no longer a specialized tool; it is an omnipresent force. From operating systems demanding background intelligence to job descriptions prioritizing prompt proficiency, the pressure to integrate AI into every corner of our workflow is relentless.

But in the rush to adopt the bleeding edge, we risk treating AI as an inherent solution rather than a powerful, albeit volatile, tool. For engineers, the current wave of “AI first” implementation carries serious, often overlooked risks that manifest not as immediate failures, but as creeping operational fragility and engineered debt.