How to communicate the reality of AI-assisted engineering in today’s hype cycle

Let’s face it – there’s a lot of hype about AI floating around, and lots of overblown promises about immediate 10x productivity across the organization. Just scrolling through LinkedIn while drinking your morning coffee will put you face-to-face with claims of AI fully replacing junior engineers, security teams, code reviews, and allowing you to ship something in 20 minutes that might have taken 20 weeks.

For non-technical executives and stakeholders, it can be difficult to distinguish between an authentic claim and something that’s overstated, simply because they don’t have background knowledge from working with the tools and processes that AI claims to replace or greatly accelerate.

As an engineering leader, you have an important role to play when it comes to communicating the realistic value of AI to your business stakeholders. It’s your job to educate your partners on the gap between hyped promises and practical implementation by educating them on real use cases for AI in your organization, helping them understand the amount of support and enablement necessary to see real ROI, and finally sharing data on the value of AI in ways that matter to them.

This guide was written to help engineering leaders navigate these conversations with confidence and credibility. Get guidance on cutting through inflated expectations to focus on problem-solving first, presenting the true cost of AI enablement and adoption, and translating data into a story that resonates with executives and external stakeholders.