A recent survey explored the application of artificial intelligence in translation and language services, revealing a constantly evolving landscape filled with both opportunities and challenges. The report highlighted diverse experiences and attitudes towards integrating artificial intelligence into professional workflows, indicating that the translation industry is poised to enter an era of transformation.

The translator vociferously proclaimed:
The true impact of artificial intelligence tools

As the impact of artificial intelligence on the translation industry becomes increasingly significant, much discussion has centered on AI tools. This time, we seek inspiration from the source workers: translators and linguists. In a recent survey, we gathered insights and experiences from professionals at the forefront of transformation. Their feedback offered a unique perspective on how AI tools are reshaping workflows, presenting both opportunities and significant challenges for the industry. Before delving deeper, let's first explore the key findings and their implications for local buyers.

79% of translators are familiar with AI tools, but only 42% of them use these tools on a daily basis

Artificial intelligence has become a reality, but it has not yet been universally mastered. Depending on the content manager, different levels of professional knowledge and quality can be determined.

Neural Machine Translation (NMT) is the most widely used tool (59%)

Next come AI-driven translation memory (43%) and post-editing automation (21%). Even if it's not publicly disclosed, the content may already be managed by AI. Understanding the tools used can help assess the reliability of the output.

53% of linguists are seriously concerned about the impact of artificial intelligence on the language industry

The pressure on rates and quality is increasing. Choosing partners who invest in talent expertise is crucial to maintaining high standards.

84% of people anticipate a decrease in the demand for human translation and an increase in the demand for post-editing

Yes, the workflow may be faster. However, for delicate or sensitive content, the quality will be compromised without human supervision.

Tone, context, and cultural fit remain the greatest challenges for artificial intelligence

The time saved can be considerable, but only if quality control is in place. It is crucial for buyers to ensure that suppliers conduct rigorous manual reviews.

Linguists are making adjustments through specialization

They are developing their roles by specializing in post-editing, quality assurance, and terminology in specific fields. Collaborating with the right experts ensures that content adheres to regulatory, technical, or brand standards, especially in high-risk areas.

Language service providers play a pivotal role in guiding the responsible use of artificial intelligence

Collaborating with a strategic content and language services provider like Acolad helps strike a balance between innovation and quality, and makes the right choices for each content type.