The company cautions against an over-reliance on algorithms, asserting that authentic cultural connection and regional dialects still require real human voices.
CHIANG MAI, THAILAND / ACCESS Newswire / June 8, 2026 / As artificial intelligence becomes more prevalent in the education sector, language learning platform Ling is drawing attention to the limitations of automated instruction. The company announced today a clear position against the industry’s increasing dependence on algorithms, arguing that while technology can speed up basic memorisation, the cultural nuances and regional expressions needed for true fluency rely on real human speakers.
This “human-first” statement comes as the language learning sector sees widespread adoption of synthetic speech generation, automated lesson creation, and machine-driven tutors. While these tools have given the world’s 1.5 billion language learners more affordable access to study materials, Ling warns that an entirely technological method risks removing the human elements necessary to connect, understand, and converse in the real world.
Yet while AI has made language learning more accessible, affordable, and convenient, Ling believes that true language acquisition requires more than algorithms alone.
“AI is an incredibly powerful tool, but language is fundamentally human,” said Simon Bacher, CEO of Ling. “Learning vocabulary and grammar is only one part of the journey. To communicate naturally, learners need exposure to real voices, cultural nuances, regional expressions, and the way people actually speak in everyday life. That’s where human expertise continues to make the difference.”
Ling offers courses in more than 70 languages, including many languages that have historically been underserved by mainstream educational technology platforms. Rather than relying on synthetic speech or automated content generation, Ling incorporates native-speaker audio, real-life dialogues, and lessons developed with input from language experts to help learners build practical communication skills.
This approach is particularly important for lesser-taught languages, where the quantity and quality of digitized language data available to train AI systems can be limited. While AI models often perform well in widely spoken languages with extensive online resources, learners studying less-common languages may benefit from content created and reviewed by native speakers who understand linguistic and cultural context firsthand.
According to Ling, the most effective language learning strategies combine the strengths of both technology and human expertise. AI can provide learners with instant feedback, flexible practice opportunities, and personalized learning paths, while native-speaker guidance helps learners develop authentic pronunciation, cultural understanding, and real-world communication skills.
“Our view isn’t that AI and human learning methods are competing against each other,” Bacher added. “The future belongs to platforms that use technology to enhance learning while preserving the authenticity that only real speakers and educators can provide. The goal has never been to have better conversations with machines. The goal is to have better conversations with people.”
As demand for multilingual skills continues to grow across travel, business, education, and global communication, Ling remains committed to providing learners with language experiences that balance innovation with authenticity.
About Ling
Ling is a language learning platform offering courses in more than 70 languages, including both widely spoken and lesser-taught languages that are often underserved by mainstream educational technology platforms. Through interactive lessons, native-speaker audio, real-life dialogues, and cultural insights, Ling helps learners develop practical language skills for travel, work, heritage connection, and personal growth.
For more information, visit https://ling-app.com.
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Website: https://ling-app.com
SOURCE: Ling
