What happens when two well-known voices in localization sit down for an informal conversation about content, artificial intelligence and the future of the industry?

In this three-part interview, Fabiano Cid speaks with Stefan Huyghe about how localization professionals learn from one another, what authenticity means when AI can generate increasingly convincing content, and whether localization as we know it is gradually becoming part of something much larger.

Although the conversation begins with content creation and community, it ultimately raises a fundamental question for the industry: is localization disappearing, or is it expanding into a broader global content discipline?

Part 1: Influence, visibility and learning in public

The first part of the conversation explores Stefan’s role as a prominent content creator within the localization industry, and his reluctance to accept the label of “influencer.”

For Stefan, the term can suggest manipulation. He does not see his role as convincing the industry to follow a particular agenda. Instead, he describes content creation as a natural extension of having opinions, asking questions and learning from other people.

This distinction is important.

The most valuable industry content is not necessarily produced by people claiming to have all the answers. It is often created by people who are willing to conduct conversations publicly, expose themselves to different perspectives and allow their own thinking to evolve.

Interviews are therefore not simply a way of distributing knowledge. They are also a way of creating it.

Fabiano and Stefan also discuss the importance of giving greater visibility to people who have valuable expertise but may not yet have a large platform. An industry can easily become dominated by the same familiar speakers and ideas. Actively searching for new voices helps bring forward experiences and perspectives that might otherwise remain invisible.

This is especially relevant in localization, where expertise is distributed across regions, languages, technologies and professional disciplines. Creating space for these different voices makes the entire industry more knowledgeable.

Their conversation also highlights the value of smaller, more intimate industry events. Large conferences offer reach and variety, but smaller gatherings often make it easier to have meaningful conversations, develop closer professional relationships and build a genuine sense of community.

The broader lesson is that visibility is not only about personal branding. At its best, it is about connecting people, circulating ideas and helping the industry learn collectively.

Part 2: Can AI-generated content still be authentic?

The second video turns to artificial intelligence and a question that is becoming increasingly difficult to avoid: what happens when AI-generated videos, images and voices become almost impossible to distinguish from human-made content?

Stefan’s answer separates the medium from the message.

AI will undoubtedly become better at rendering realistic content. It may soon become extremely difficult, or even impossible in some situations, to determine whether a particular image or video was generated by a person or a machine.

But authenticity is not solely a technical characteristic of the production process.

A message produced with AI can still be authentic when it represents the real ideas, experiences and convictions of the person publishing it. Conversely, a video recorded entirely by a human can feel deeply inauthentic when the message is artificial, opportunistic or disconnected from what that person genuinely believes.

The real question is therefore not simply:

“Was AI used to create this?”

It is:

“Does this content truthfully represent the person or organization behind it?”

This distinction has major implications for corporate content.

AI can accelerate writing, translation, video production and content adaptation. However, it cannot independently determine what a company genuinely stands for, which opinions it should express or where its editorial boundaries should be.

Those decisions still require human responsibility.

As AI makes content production easier, the value of a recognizable perspective may actually increase. Audiences will encounter larger volumes of technically polished content, making consistency, honesty and editorial judgment more important differentiators.

The discussion also touches on platform strategy. Stefan focuses primarily on short-form LinkedIn content, while production partners handle longer podcast and video formats. His approach illustrates another useful principle: content creators and companies do not need to be present everywhere.

Choosing the right format and channel, and executing it consistently, is often more effective than attempting to maintain a presence across every available platform.

AI can help scale content production. It should not replace the point of view that makes the content worth producing.

Part 3: Is localization becoming global content?

The final part of the interview addresses the future of localization directly.

Stefan does not believe localization will disappear. However, he questions whether it will continue to exist in its current form, built predominantly around the traditional movement from a source language to one or more target languages.

The boundaries between translation, localization, content creation and marketing are already becoming less clear.

As language technology becomes integrated into larger content platforms, translation may increasingly become one capability inside a broader content-production environment. This creates a potential challenge for traditional translation management systems and localization providers that remain focused exclusively on source-to-target workflows.

The threat may therefore come not from a competing localization solution, but from content platforms that make multilingual production one component of a much larger system.

At the same time, this transition creates significant opportunities.

Instead of producing one central source text and adapting it for every market, organizations may increasingly work from a common brief and create content directly in different languages. The resulting content may communicate the same strategic idea while using entirely different references, formats, examples and creative approaches in each market.

This goes beyond translation and even beyond conventional localization.

It represents a shift toward multilingual content creation by design.

Personalization may also become much more granular. Historically, localization has adapted content for a particular country, language or broad audience. New AI capabilities make it possible to consider smaller audience segments, individual preferences, different levels of expertise and specific customer contexts.

Language becomes one dimension of personalization rather than its only dimension.

Fabiano connects this evolution to the idea that the industry is moving beyond the peak localization era and into a global content era. Stefan’s response is optimistic: although some familiar activities may become automated or absorbed into other systems, new forms of multilingual content production will emerge.

This resembles Jevons paradox: when a resource becomes more efficient and accessible, its overall use may increase rather than decrease.

Faster and less expensive translation may not reduce the need for multilingual content. It may allow organizations to translate, create and personalize considerably more of it.

Localization is not disappearing, its boundaries are

Taken together, the three conversations present an encouraging vision of the industry.

The future of localization is not only about better translation engines or faster production. It is about a wider transformation involving content creation, audience understanding, authenticity, personalization and global communication.

This evolution will require localization professionals to work more closely with marketing teams, content strategists, engineers, subject-matter experts and regional stakeholders. It will also require technology capable of connecting linguistic assets, brand rules, AI models, quality controls and human expertise within increasingly complex content workflows.

Translation will remain essential. But it may no longer always begin with a finished source text or end with a conventional translated document.

The organizations that succeed will be those that can determine:

• Which content should be translated, adapted or recreated.
• Which processes can be automated safely.
• Which linguistic and brand assets should guide AI systems.
• Where local expertise and human review create the most value.
• How content should vary across languages, markets and audiences.
• How all these elements can be governed consistently at scale.

The future is therefore not a choice between localization and global content.

Localization is becoming part of the infrastructure that makes global content possible.

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