At WAICF, Chandra Donelson Pushes Leaders to Rethink How AI Delivers Value

CANNE, France - April 2, 2026 - PRLog -- At the World AI Cannes Festival (WAICF), Chandra Donelson delivered a keynote that challenged organizations to rethink how they approach artificial intelligence—not as a trend, but as a tool for real-world impact.

Taking the stage among global technology leaders, policymakers, and enterprise executives, Donelson focused her remarks on execution and accountability in an era increasingly defined by automation and intelligent systems.

"We have to change the conversation around AI," Donelson said. "The starting point should not be the technology. It should be the problem we're trying to solve and the outcome we're trying to improve."

Her message stood out in a landscape often dominated by technical ambition, instead centering on clarity, discipline, and measurable value. Donelson emphasized that while AI has the potential to transform industries, its greatest return is often found not in immediate financial gains, but in time—enabling organizations to move faster, scale smarter, and operate more efficiently.

Beyond the keynote stage, Donelson also connected directly with attendees during a series of book signings, where participants lined up to receive signed copies of The Data Detective in both English and French editions. Social media posts from the event captured the excitement, with attendees sharing photos and reflections on meeting Donelson and bringing her work back to their teams and families.

The combination of executive insight and community engagement reinforced her broader mission: making data and AI more accessible across all audiences—from boardrooms to classrooms.

As companies continue to invest heavily in artificial intelligence, Donelson's message underscored a growing consensus emerging from WAICF: success will depend less on access to technology, and more on how intentionally it is applied. You can follow Chandra Donelson at Chandra Donelson (https://www.linkedin.com/in/chandradonelson/).