Human translators reject role as ‘garbage bin’ for AI mistakes

The idea that AI will replace many professions and render entire trades obsolete has become a dominant narrative across the media landscape, including social media platforms and professional networks. Translators are no exception. Like many other professionals, they face growing pressure from the assumption that their work can soon be handed over entirely to automation and neural networks.

Two recent LinkedIn posts — one by a translator and the other by a representative of a localization company — illustrate how some members of the language industry respond to the increasingly common claim that «this can be delegated to AI.»

Not everything can be delegated to AI, argue a number of translation professionals who continue to advocate for the value of human expertise in an era of rapid technological change.

Common myths and public sentiment

Public perceptions of translation in the age of AI are often shaped by oversimplified assumptions. Professionals in the field say many people outside the industry believe human translators are no longer necessary to convert text from one language to another. According to translator Jenifer Berto, common misconceptions include the belief that tools such as Google Translate can meet all of the world’s communication needs.

Much of this view stems from a limited understanding of localization and the broader translation process. Effective translation, she noted, involves far more than substituting words; it requires building a bridge between cultures.

One commenter highlighted what they described as a stark divide in attitudes toward the profession, arguing that the people most likely to claim translation can be fully automated are those with little understanding of the craft, as well as executives focused primarily on reducing costs rather than ensuring accuracy.

Prospects for the profession

Despite persistent predictions about the «death of the translator,» industry experts see a future for the profession, though one marked by significant change. They argue that the value of human translators is shifting away from basic language conversion and toward higher-level responsibilities, including quality assurance, accountability and the creation of distinctive, culturally relevant content.

Individual translators like Berto are doubling down on their craft, refusing to give up despite being told by «big corp» that they are obsolete. Some translators have completely stopped accepting post-editing jobs.

As AI-generated material floods the market, some industry observers say businesses are increasingly turning to experienced language professionals to help their content stand out. In a landscape crowded with low-cost machine-generated text, human expertise can serve as a key differentiator.

Read also: Lost in translation: AI ‘hallucinations’ are infecting Wikipedia.

The outlook is less favorable for traditional proofreading roles. Loek van Kooten, owner of a localization firm, argues that the economics of proofreading have fundamentally changed. Because machine output now reads «beautifully» while remaining factually unreliable, the labor required to «just check» a text has tripled.

«When someone says “just check it, it will only take you five minutes,» hear what they are actually asking: put your name on a machine’s lies, take the blame when it burns, and do it for almost nothing,” Van Kooten noted.

He suggests that the profession’s survival depends on linguists reclaiming the entire process rather than acting as a «garbage bin» for machine errors.

Prevailing mood among professionals

The mood within the translator community is a mix of exhaustion, defiance, and professional solidarity. There is a palpable frustration with the commodification of their craft, summarized by the metaphor of the «bad meal.» As Van Kooten put it:

«A bad meal gets one star, because everyone at the table can taste it. A bad translation gets a smile and a thank‑you, because nobody in the room can read it».

The prevailing sentiment is that while the industry is currently obsessed with AI-driven cost savings, the legal and reputational risks of using unvetted machine output will eventually force a reckoning. One commenter compared the situation to AI replacing lawyers: it produces convincing pleadings until it is actually examined in a courtroom for real.

A way forward: What survives AI — and what doesn’t

As the industry adapts to AI-driven change, some experts argue that language professionals should rethink where they create value. In a recent article, Antonio De Palma of LocalizeLoop suggested that not every aspect of the translation function will remain equally relevant in the years ahead. Some responsibilities are likely to endure, while others are becoming increasingly vulnerable to automation.

According to De Palma, AI is rapidly taking over tasks such as translating repetitive content, conducting first-pass reviews of low-risk material, managing high-volume vendor services and generating throughput-based performance metrics.

Content that carries little brand, legal or compliance risk is also becoming cheaper to produce as machine translation improves. Teams whose workloads are concentrated in these areas may face the greatest disruption.

By contrast, De Palma argues that several functions remain firmly in human hands. These include verifying high-risk content, managing terminology and translation-memory systems, evaluating AI performance, making regulatory and cultural judgment calls, and ensuring source content is fit for translation before it reaches the localization process. Oversight of vendors and technology platforms, as well as the cross-functional work that connects product, legal, marketing and compliance teams to global business decisions, also remains difficult to automate.

For low-stakes content, imperfect machine-generated translations may be viewed as an acceptable trade-off. As AI tools continue to improve, the gap between professional-quality work and content that merely conveys the basic message may matter less to some businesses and audiences. This raises a broader question for the industry: If a growing share of the market is satisfied with substandard translation, how much demand will remain for premium linguistic services?

Read also: Kazakhstan’s guide to jobs that still need a human touch.