What it actually looks like to lead localization in the AI era

Artificial intelligence (AI) is changing localization faster than most teams can evaluate it. Many of the questions arising don't have definitive answers — whether it's which workflows to trust or how to govern quality at scale. In many cases, localization experts are leaning on early evidence and hard-won lessons, with most still figuring it out in real time.

On May 20, Global Ready Conference brings those practitioners together. One day, ten sessions, and the kind of honest conversation about AI-led localization that only happens when the people in the room have actually lived it. Here's why you should RSVP today:

1. The role is changing, and this is what that actually means

The opening keynote sets the tone for the whole day. Anna Schlegel — who has built localization into a strategic function at Fortune 500 companies and operated at the level of national government — addresses the shift that most localization leaders already sense but haven't fully reckoned with: the bar has been raised, and the leaders who thrive in the AI era will be the ones who stop leading with cost savings and start owning the room.

The argument isn't that AI makes localization expertise less relevant. It's the opposite. The cultural fluency, cross-functional reach, and quality instincts that experienced localization leaders have spent years building are exactly what the AI era needs most — if those leaders are willing to lead with them.

2. Practical advice and actionable takeaways from the teams living it

Most of the day is built around practitioners sharing real decisions, including the frameworks that held up under pressure, the things that failed before they worked, and the lessons that only come from doing it at scale. These aren't safe panel conversations. They're the kind of specific, honest exchanges that are hard to find anywhere else.

For example, learn how IBM's SkillsBuild team went from manual copy-paste workflows to 2,000 hours of translated content across 13 languages. Additionally, IHG's director of product transformation shares what happened when a consulting firm suggested they just use a generic large language model (LLM), and what that moment revealed about the real limits of off-the-shelf AI for complex, high-volume content. Practitioners from DoorDash and Tinder will also walk through how they repositioned localization from a support function to a strategic driver of growth, and how they made that case in the language of business outcomes. Plus, Docusign's localization lead covers the upstream work that most teams skip: adapting content before AI ever touches it, and why that step determines whether your program scales or stalls. And, a full practitioner panel with localization leaders from Spotify, SAS, Rover, and SumUp cover where AI is scaling well, where it isn't, and what they'd do differently if they were starting over today.

3. A first look at where Smartling is headed in 2026

The Smartling roadmap session covers what's shipping now and what's coming: RAG and style rules for AI, new connectors that bring translation into the tools teams already use, and Smartling's answer to the growing gap between AI translation volume and quality oversight. If you're a current customer, this session shows what's next on the platform. If you're evaluating Smartling, it's the clearest signal of where enterprise AI translation is heading, and what separates a purpose-built translation platform from a generic AI workaround.

One day, unlimited insights

The teams presenting at Global Ready Conference 2026 have the experience of making real decisions under real pressure. On May 20, they're sharing what they learned. Make sure you’re part of the conversation! Global Ready Conference is free, online, and built for practitioners at every stage.