Just a few years ago, businesses looking to build AI-powered products had little choice but to hire artificial intelligence engineers with deep expertise in machine learning, data science, model training, and deployment.
In 2026, things look very different.
Companies now have access to powerful foundation models, no-code AI platforms, AI agents, and tools that can generate code, automate workflows, and accelerate development. Some argue that these advances reduce the need for specialized AI talent, while others believe experienced AI engineers are more critical than ever for building reliable, scalable, and competitive products.
This raises an interesting question: As AI becomes easier to access, does that increase the value of AI engineers—or make them less essential for businesses building new products?
I’d love to hear perspectives from founders, CTOs, product leaders, and teams that are actively building AI-powered applications, automations, or enterprise solutions.