YouTube, gaming, and AI assistants are fast becoming key discovery channels for the next generation of consumers. As these environments continue to grow, businesses need content operations that can support these global, multilingual, and interactive experiences.

Search for your brand in another language and you may discover a very different customer experience. As AI accelerates content creation, maintaining a consistent brand across every market is becoming a business priority.

AI agents are already comparing products, evaluating brands, and influencing billions of dollars in purchases. The question is whether they can find, understand, and recommend yours.

Customers don't care how the ecosystem behind the experience is structured. They care whether the experience works. Drawing on insights from leaders at Nike, Tripadvisor and Phrase, this article examines why most global ecosystems were never designed for the customer and why that is becoming impossible to ignore.

Most organizations plan carefully for what they are building. Almost none plan for what maintaining it will cost them. Drawing on insights from Elaine Barsoom, who built Nike's first AI Center of Excellence, and Phrase CEO Georg Ell, this article examines why the build vs buy decision is fundamentally an ownership question and what that means for organizations scaling AI across global markets.

Your brand and your existing playbook will earn you a foothold in a new market. What they won't do is carry you to sustained growth. Kevin O'Donnell on why international expansion requires more than translation -- and where most companies lose momentum.

The real opportunity in AI isn't faster output -- it's reaching audiences that were previously too niche or too expensive to serve. Kevin O'Donnell explains why hyper-localization is becoming a baseline expectation for international growth teams.

When no single leader owns international performance, investment scatters, team priorities diverge, and the signals that would tell leadership where to act never surface in a coherent way.

When AI generates and adapts messaging across dozens of markets at a scale no human team can review in full, the failures are rarely dramatic. They show up quietly, as declining engagement, higher drop-off, and underperformance in markets leadership thought it had covered.