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AI Coding: Do Security Risks Outweigh Productivity Gains?

AI coding tools have changed the software development world in a few short years, but security risks and rising costs associated with AI-generated code mean organizations should consider their potential return on investment (ROI) before jumping into the deep end. That said, many organizations have already entered the deep end. According to GitLab’s 2026 AI Accountability Report published last month, 91% of organizations are using two or more coding tools, and 54% use three or more. Depending on which study you look at, results vary a bit. A Black Duck survey found AI code enterprise adoption had reached 97%. The Futurum Group said 76.6% of organizations are actively using AI in software development workflows, while another 20.4% are evaluating.

Full report : AI coding tools cost $19-$200/month/user, but security scanning, remediation, and false positives add hidden costs. Are the productivity gains worth it?