This is a massive reality check for the industry. Too many companies treat AI like a magic wand for complex systems, but it honestly fails when it lacks the physical intuition or…
This is a massive reality check for the industry. Too many companies treat AI like a magic wand for complex systems, but it honestly fails when it lacks the physical intuition or deep domain expertise of a veteran engineer. AI is great for pattern matching, but debugging hardware integration or edge-case quality issues still needs that human gray beard perspective.
It reminds us that AI is a force multiplier, not a replacement for fundamental engineering knowledge. We need to stop overhyping the automation and start focusing on where it actually adds value.