By Jonathan Otis

Compared with the wider mergers and acquisitions market, the language industry stands out for its moderate growth, fragmented markets, and global footprint. In 2025, much of the localization business saw steady returns while operating largely out of the limelight.

By Veronica Hylak

The article lists the top 10 AI developments in 2025, arguing that this was a year of plateau in AI innovation. The focus shifted from infinite growth to making technology usable, dependable, and aligned with human work.

By Suzanne-Rose Griveau

Noting how AI is transforming the software-as-a-service (SaaS) industry, the author offers seven best practices for SaaS localization workflows — emphasizing that success isn’t about simply accumulating tools, but about fundamentally redesigning processes.

Adam Bittlingmayer, CEO and co-founder of Modelfront, unpacks what it really means to use AI to check and gate AI — deciding which machine translations can safely skip human review and which absolutely cannot.

We talk about the billions of people who still can’t access English-only content, why post-editing hasn’t delivered the promised efficiencies, how quality prediction changes the economics of multilingual publishing, and what this all means for linguists, workflows, and buyers who want to stay in control of their data rather than hand everything over to a single model provider.

This December, one of the industry's most technical events returns. Konstantin Dranch, founder of CustomMT, gives us an inside look at the GenAI in Localization online conference. We explore its “nerdy” and “realist” approach, which substitutes marketing hype for practical, hands-on workshops. He reveals the 2025 program's focus: moving beyond potential to showcase 12 real, operationalized GenAI systems built by localization teams, and how localization leaders must now act as “diplomats” to “search and destroy rogue initiatives.”

In this episode, we explore how SOC 2 is actively redefining what "trust" means in translation technology. Adam Klar, CISO at memoQ, provides a candid look at the "overwhelming" journey to achieving Type 1 certification. He breaks down the critical difference between a Type 1 "snapshot" and a Type 2 "period-in-time" audit, explains why a GRC platform is essential for success, and makes the case for why this standard is the new, non-negotiable baseline for enterprise-grade localization.

The language industry is evolving to Language Intelligence and n this episode, Bruno Herrmann, Vice Chairman of LT Innovate, to unpack this critical concept. He explains how AI, language data, and human expertise must converge to create real business value.

Explore how new roles are emerging for language professionals in data management and AI training, and get an exclusive preview of the Language Intelligence 2025 event in Vienna, a conference focused 100% on practical use cases from diverse industries.

How partnerships between language companies and sports teams enable inclusivity

By Scott Swanson

For sports fans who are Deaf or who speak a language other than the primary one used in the stadium, the sensory richness of a live game is diminished without dedicated support. The author challenges sports organizations to embrace comprehensive language services in order to truly connect with their entire fan base.

By Claudio Fantinuoli

The author argues that future AI interpreting systems will learn from not only human-generated examples, but also their own experience interacting with environments, generating data, and discovering solutions beyond existing human knowledge.

By Johan Botha

African language service providers don’t need to catch up — they can leap ahead. The author argues that Africa’s specialized language models, culture of collaborative entrepreneurship, and emphasis on human-centric design can launch the continent to the forefront of the localization industry.