What cultural changes are necessary for software teams to fully embrace and integrate AI, and how can leaders enable these changes on their teams?

A major obstacle is skepticism, even among developers. Their concerns range from job security to the quality of AI-generated code. Leading cultural change involves demonstrating AI’s value to engineering teams. Champions who use AI successfully should share their experiences, for example, through brown bag sessions or individual coaching. We’ve seen better results with hands-on, individualized training rather than generic lectures.

Teams should embrace continuous learning, open communication, and adaptability. Leadership ought to encourage a growth mindset, promote cross-functional collaboration, and build trust-driven AI decisions. Training should be provided so developers and users feel comfortable using AI daily, and processes should reflect ethical AI practices.

From a technology perspective, the software field is always reinventing itself. There’s nothing fundamentally new to introduce culturally just because AI is present, as we’ve seen many transformations before. Changing your mindset to be adaptable to new developments makes the difference. Fostering a culture of learning and experimentation sets the foundation.