The communication approach of the tech sector in the age of artificial intelligence

Serdar HocamAuthor & Editor

While artificial intelligence makes content production cheaper and leads to the proliferation of similar examples, the tech sector needs qualified communicators who can tell the story behind the products.

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Why tech needs a new kind of English major

The fact that artificial intelligence tools make text generation cheaper and flood the market with similar content has increased the importance of original storytelling in the tech sector. Experts state that companies should now focus not just on systems that produce high-volume content, but on communicators who can convey the true value and meaning behind the products.

The problem of similarity brought by artificial intelligence

The widespread use of artificial intelligence technologies has made content production extremely easy while flooding the market with identical texts and visuals. This leads to a similarity crisis, making it increasingly difficult to attract users' attention and remain original.

Scientific research also reveals that the use of artificial intelligence reduces text diversity and narrows writing complexity, making content monotonous.

Storytelling amidst the product crowd

While new product development costs decrease thanks to open-source software and cloud infrastructures, thousands of similar alternatives have proliferated in the market. As customers get lost among countless options, competition goes beyond engineering power and shifts toward the ability to tell the right story.Instead of just talking about technical features, companies now need to explain meaningfully why customers should need that product.

The role of the new generation communicator

The new communicator profile needed by the tech sector consists of individuals who use artificial intelligence as an auxiliary tool rather than rejecting it completely. These people can find the right argument among data and synthesize it with a human-centric perspective.

The main goal is not to write every word by hand, but to build a strong bridge between product developers, sellers, and buyers by taking advantage of the analyses provided by artificial intelligence.

Going beyond sales materials

While artificial intelligence tools can create sleek presentations and marketing texts in seconds, these outputs alone can fall short in driving the sales process. Product marketers need to conduct customer interviews and identify the real obstacles.

Success in the age of artificial intelligence lies not in presenting thousands of pages of artificially generated materials, but in the ability to convey the right message to the right customer.