Vince Gilligan called AI “the world’s most expensive plagiarism machine.” He’s not wrong, but the real danger isn’t in creativity being copied. It’s in governance breaking before AI does. Here’s how I responded to his critique in my latest company blog post.
Building AI isn’t just drag‑and‑drop—it’s engineering. After seeing AI projects fail in production, I realized we need the same rigor we use for any software system. Explore the Five Levels of AI Mastery and learn how to create secure, scalable, production‑ready AI that actually drives growth.
Even as AI tools become more accessible, developers are the gatekeepers of security, privacy and compliance. Building AI in‑house lets companies protect data, tailor models to their needs and stay ahead of emerging regulations—making human expertise more vital than ever.
Despite the advancements in AI technology, developers remain indispensable due to their role in security,
customization and integrating new technologies.