Insider Spotlight
By the numbers:
Why it matters
The near-universal adoption signals a major shift in how code is written. But leaders are clear: AI must remain a collaborator, not a substitute.
95 percent of tech leaders warn of risks when deploying AI-generated code without proper review, raising red flags around security, maintainability and quality.
93 percent confirm that AI-generated code is always or often peer reviewed before merging, underscoring the need for “human-in-the-loop” oversight.
What they’re saying
“AI in engineering is a real disruptive change that can’t be ignored,” said Brendan Humphreys, CTO of Canva. “When paired with human judgment and expertise, it unlocks significant benefits — from rapid prototyping to faster development cycles and greater productivity.”
Leaders also see AI reshaping developer skillsets:
94 percent say AI is transforming technical roles.
95 percent are comfortable with candidates using AI tools in interviews.
Yet, 30 percent cite over-reliance on AI as the top concern, and 21 percent fear junior engineers could see their growth stunted.
The bottom line
AI coding tools are now mainstream. But without rigorous human oversight, organizations risk trading speed for stability — and productivity for accountability. —Ed: Vanessa Hidalgo