"Talent will have to deal with a world where writing code will not be the goal. It will be actually making AI work - orchestration and those kinds of things,"
"The very fact that you can generate stuff means you can generate slop. In fact, five years from now, there'll be more AI legacy systems than any other legacy system - all the kind of stuff that will have been generated - and we'll have to clean that up as well."
"Let's say there are two guys and they are having a fight. One guy will draft an email that is one paragraph. He will give it to AI to make it into a ten-paragraph email because he wants to impress the other guy. The other guy will take the 10-paragraph email and summarize it back to one paragraph."
AI is changing the nature of work, shifting software development from writing code toward making AI systems function through orchestration and integration. Many large companies spend 60–80% of IT budgets on maintaining legacy systems, which prevents effective AI adoption and must be fundamentally cleaned up. New AI tools enable faster, more economical modernization, creating both demand and capability for system overhaul. At the same time, AI will produce low-quality generated artifacts that become new legacy to manage. Organizations must implement usage guidelines, quality gates, and explainability to ensure genuine productivity gains rather than superficial outputs.
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