Summary & Key Takeaways ​

• The article challenges the narrative that AI will lead to mass layoffs in software engineering.
• Data from New York's WARN Act filings shows no AI-related job losses in the first year.
• AI primarily speeds up the code-typing phase, which is not the main bottleneck in software engineering.
• Real bottlenecks include deciding and specifying what to build.
• Verifying and being accountable for delivered software is another critical human task.
• Deep human understanding of the codebase, business, and environment remains irreplaceable.
• AI assistance can help with decision-making and verification, but human understanding provides core value.

Our Commentary ​

This piece really resonates with me. We've all felt the hype around AI replacing jobs, but this article cuts through it with a clear, grounded perspective. It's not about typing speed; it's about the messy, human parts of problem-solving. I've found AI incredibly useful for boilerplate, but the strategic thinking, the "why," and the accountability? That's still firmly in our court. It's a good reminder that our value isn't just in lines of code.