LangTalent Podcast

There is a common misconception that as AI advances, multilingual professionals will inevitably become less relevant. In this episode of LangTalent, MK Blake, VP of Delivery Services at Welo Data, flips that narrative on its head. She argues that linguists are not just supporting the "last mile" of localization—they are absolutely foundational to the "first mile" of AI training.

MK breaks down why human judgment is critical for teaching models how to interpret meaning across cultures. We explore why unique human skills like "pragmatic competence" and navigating ambiguity are more valuable than ever.

Behind every sophisticated AI model is an invisible human workforce. In this episode, we explore who actually gets to be part of that workforce with Arjun Mishra, founder of Nabet, an India-based initiative training intelligent systems through a differently abled workforce.

Arjun challenges the idea that hiring differently abled professionals is just a charitable endeavor. Instead, he explains how neurodiverse individuals and those with hearing or speech impairments bring unmatched focus, precision, and low attrition to highly repetitive data annotation tasks.

In this episode, Nicolas Calleri, founder and CEO of ARA Business Intelligence shares his incredibly non-linear path into the language industry, starting as a hotel receptionist and musician, and rapidly climbing the ranks to become a Director of Operations managing 80 people by the age of 27.

We explore the emotional reality of leaving a secure leadership role to embrace the fear and adrenaline of entrepreneurship, highlighting the profound impact a great mentor can have on your confidence

The translation profession is undergoing a seismic shift driven by artificial intelligence. But is translator training keeping pace?

In this episode of LangTalent, we sit down with Silvana Debonis, a multifaceted expert who shares her unique perspective on how the role of the translator is evolving from a passive executor to an active, strategic partner. We discuss the limitations of traditional training models and explore what a future-ready curriculum should look like—one that embraces technology, data analysis, and critical thinking.

What happens to language professionals and companies when AI, tighter budgets, and global expansion all hit at once?

In this episode of LangTalent, we talk to Robin Ayoub — longtime LSP executive, advisor, and host of Localization Fireside Chat — about why many companies are still stuck in “duct-tape” AI adoption, what hyper-automation really looks like, how talent is repositioning itself inside and outside LSPs, and why agility, trust, and clear go-to-market thinking will define who survives the next wave of change.