AI has reached a pivotal moment in engineering and R&D. While leaders expect it to be transformative within the next three years, most organizations remain stuck in pilots that fail to scale or deliver sustained value.

According to Capgemini Research Institute report – Engineering & R&D Pulse 2026, the challenge is not AI capability, but how AI is conceptualized, governed, and embedded across engineering organizations.

Today, AI is still treated much like traditional software; applied to isolated problems, implemented in silos, and disconnected from core engineering processes, data foundations, and governance. This fragmented approach limits impact, increases complexity, and undermines trust and scalability. As a result, only a small proportion of AI initiatives translate into sustained, enterprise‑level value.

Our recent point of view argues for a fundamentally different approach: AI must be treated as a utility, designed to be secure, reliable, and accessible by default.

When embedded across engineering systems, processes, and culture, AI can augment, not replace, engineering teams, enabling intelligence to be applied precisely where it delivers the greatest impact. This vision is brought to life through Augmented Engineering, which brings together human engineering expertise and AI in a hybrid model designed for the rigor and complexity of engineering environments. Augmented Engineering is underpinned by our Resonance AI Framework, providing the essential foundations for AI capabilities, organizational readiness, and effective human–AI collaboration at scale.

Read the full point of view and explore how engineering organizations can move beyond pilots to achieve AI value at scale.

Click to read Why AI pilots succeed, but AI-transformation fails at scale