The AI skills gap is real (but it’s not what you think)

Estimated reading time: 8 minutes

Key takeaways:

• Coding is no longer the bottleneck. The real AI skills gap is in understanding architecture, slicing problems into testable chunks, and connecting code to business value.
• The ZIRP era masked deep engineering dysfunction.
• Don’t staff up with AI, skill up with it. The teams that win won’t be the ones who use AI to write more code faster. They’ll be the ones who use it as a reset to build better engineering habits.

Engineering teams are right to worry about AI skills gaps, but they’re often identifying the wrong ones.

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