It’s all about what’s between the lines

By Maria Wolf
Translated by Kristin Fehlauer

Once upon a time, there was an algorithm. It was strong, lightning-fast, and knew millions of words. At that time there was also a German company with a global reach and a long and storied tradition. The company was due to celebrate its anniversary, so its executive board decided to write a special letter to its workers. It composed the letter in German, infusing it with gratitude, appreciation, and heartfelt encouragement, and included a look back at numerous shared experiences with a touch of humor. But the board didn’t want its international workforce to feel left out, so it asked the algorithm to translate this letter into English. In a matter of seconds, as if by magic, the algorithm produced a linguistically accurate translation—quickly, efficiently, and at no charge. Delighted, the board took both versions of the letter and sent them out with full confidence to its long-time employees around the world. However, only the German staff showed any kind of reaction. The most the board got from its workers abroad was an acknowledgment of receipt.

Such scenarios are not uncommon in AI-based communication. A good letter or a moving speech thrives on nuance, which arises from the personal, emotional relationship between the sender and the recipient. Like most people, you’re probably familiar with the following scenario: You spend hours on a text—refining the content, message, word choice, character, and flow, reflecting on the audience and your relationship with them, celebrating, laughing, and suffering with them as you recall shared experiences—and the AI turns it into copy that’s grammatically correct but leaves you cold. It’s lifeless, ineffective, and boring enough to make you yawn.

So why use AI at all? Largely because, these days, large companies face enormous pressure to publish. They need to get content out faster, across more channels, and above all in more languages simultaneously than ever before. At first glance, it would seem that artificial intelligence is the perfect solution to this dilemma. AI works tirelessly, delivers translations in seconds, and costs almost nothing. But to rely unquestioningly on this digital voice is to underestimate the soullessness of this technology.

Artificial intelligence doesn’t truly understand humor. It fails to recognize irony, isn’t capable of empathy, and is deaf to cultural nuance. An algorithm calculates the statistical probabilities of word sequences. It translates what’s written, but not necessarily what’s meant; what’s hidden between the lines and brings a message to life.

That’s why we at Klein Wolf Peters are committed to a clear alternative: the “human in the loop” model. This approach lets us leverage AI’s undeniable speed to do the groundwork, but after that, human linguistic craftsmanship takes over. Our native-speaker translators and editors don’t just proofread and ensure consistency with your company’s tone; they also polish the text, keep it coherent, and make sure it captures the subtle shades of meaning. These professionals ensure that subtle humor comes across in the target language and they check whether a particular phrase might be misunderstood in a different cultural context.

Behind every good piece of writing we produce, there’s a person who understands it, not just a machine that spits it out. And it’s this human eye for detail that transforms an accurate translation into a powerful message.

The KWP fairy tale has a happy ending: AI is our friend. But, as friends do, we know it has both strengths and weaknesses—and we’re always ready and willing to rescue a worthy message from the clutches of rigid algorithms. So one thing you’ll be able to say about the stories you tell, even after they’ve been translated, is this: “And they all lived happily ever after.”

How’s your global PR shaping up? Do you already rely on a balanced combination of technology and a feel for language? Let’s talk about how we can work together to make your writing come alive.