AI: Artificial Intelligence or Artificial Irrelevance?

At eight thirty on a Monday morning, a young marketing professional opened her laptop and looked at a blank screen. By the end of the day, she had to prepare a campaign idea, write an article, create social media posts, draft an email and contribute to a presentation. A few years ago, the assignment would have required hours of research, brainstorming sessions and several rounds of writing. This time, she entered a few instructions into an AI tool. Within minutes, she had ideas, headlines, paragraphs and a complete draft.

The speed was impressive. Yet, as she read the content, she noticed something unusual. The writing was clear and polished but it felt strangely familiar. The ideas appeared similar to those she had seen elsewhere. The language was efficient but lacked a personal point of view. The content answered the brief but did not leave a lasting impression.

That experience reflects a growing question for businesses, creators and audiences. Is AI generated content expanding creative possibilities or is it filling the digital world with more material than people can meaningfully absorb?

There is no doubt that artificial intelligence has created new opportunities. It has made content creation faster and more accessible. A small business with limited resources can prepare product descriptions, customer messages and promotional material without building a large communication team. A teacher can create learning exercises suited to different levels. A student can organise information and explore a subject from several perspectives. A marketing professional can develop multiple approaches before selecting the strongest one.

AI can also reduce the time spent on routine work. Creating outlines, summarising long documents, adapting a message for different audiences and preparing initial drafts can take considerable effort. When these tasks are completed more quickly, professionals may have more time to focus on strategy, research and creative thinking.

The scale of adoption shows how rapidly this change is taking place. According to the 2024 Work Trend Index published by Microsoft and LinkedIn, 75 per cent of knowledge workers globally were already using AI at work. The figure is significant because it shows that AI is no longer limited to specialist technology teams. It has become part of everyday professional activity across industries and functions.

However, widespread use does not automatically result in better communication. The ability to create content quickly can encourage organisations to publish more frequently without considering whether every message has a clear purpose. When speed becomes the main objective, quantity may begin to replace relevance.

This is where the risk of oversaturation emerges. People already receive a continuous flow of advertisements, articles, emails, videos and notifications. If content can be generated in minutes, the volume may increase faster than audiences can engage with it. More material does not necessarily mean more information. It may simply create more noise.

Imagine searching online for advice on starting a small business. Hundreds of articles may offer similar guidance about planning, budgeting and customer service. The information may be correct but it may not address the uncertainty or practical challenges faced by a particular entrepreneur. Now compare this with an article written by someone who built a business, made costly mistakes and learned from them. The second article may contain fewer recommendations but its experience could make it more useful and memorable.

The difference is not always between content created by a person and content created with AI. The more important distinction is between content that offers genuine insight and content that simply repeats familiar information.

AI can generate language but it does not have personal experience. It has never faced the consequences of a difficult decision, observed a customer’s reaction or learned from a professional failure. It can describe emotions by recognising patterns in existing material but it does not experience those emotions. This limitation becomes important when communication depends on authenticity, cultural understanding or human connection.

Consider a campaign about overcoming adversity. AI may produce an inspiring message with strong language and an uplifting conclusion. Yet a real account from someone who faced a challenge may have greater emotional impact because it contains specific moments, uncertainty and personal truth. The human contribution is not merely the choice of words. It is the experience behind them.

Accuracy is another important concern. AI systems can sometimes produce incorrect or incomplete information while presenting it with confidence. If content is published without careful checking, errors may spread quickly. This is particularly serious when information concerns health, finance, education or public welfare. The convenience of immediate answers should not remove the responsibility to verify facts.

There are also questions about originality. When many people use similar instructions and draw upon similar information, the results may begin to resemble one another. Articles may follow the same structure. Social media posts may use similar phrases. Campaigns may rely on familiar themes. The content may be professionally written but still feel interchangeable.

This does not mean AI should be viewed as a threat to creativity. Used thoughtfully, it can support the creative process. It can help writers overcome the difficulty of beginning with a blank page, suggest alternative approaches and identify ideas that may otherwise be overlooked. It can act as a starting point rather than the final voice.

For example, a communication team developing a campaign about responsible consumption could use AI to organise research and explore possible themes. The team could then conduct interviews, examine real situations and develop an original perspective. The technology could improve efficiency while human insight could provide relevance and meaning.

The most effective use of AI may therefore be collaborative. Technology can provide speed, scale and structure. People can provide judgement, context, imagination and accountability. The strongest content may emerge when these abilities are combined rather than treated as competitors.

The future may also change the way audiences judge content. As polished writing becomes easier to produce, people may pay greater attention to evidence, experience and credibility. A perfectly written article may no longer be enough. Readers may ask who created it, what knowledge supports it and whether it offers a perspective that cannot be generated from patterns alone.

This could create an unexpected opportunity. Instead of reducing the importance of human creativity, AI may make it more valuable. When everyone can produce content quickly, original observation may become a stronger advantage. When language becomes easy to generate, meaningful ideas may become harder to find. When digital platforms are crowded with information, trust may become the most important measure of quality.

AI generated content is therefore both an opportunity and a challenge. It can help individuals and organisations communicate faster, reduce routine work and make creative tools more widely available. Yet it can also encourage repetition, increase digital clutter and create the illusion that more content automatically means better communication.

The question is not whether AI will continue to create content. It will. The more important question is what people will choose to do with that capability. Will greater speed allow us to think more deeply, tell better stories and solve meaningful problems? Or will it encourage us to produce endless words that are quickly published, briefly noticed and immediately forgotten?

Perhaps the future of content will not be decided by how intelligently machines can write but by how carefully humans choose to use what they produce. If AI gives everyone the power to create more, the responsibility may be to create less but make every message more original, more useful and more human. The real test may not be whether a reader can identify content created with AI. It may be whether the content makes the reader stop, question, feel or think differently after the screen has gone dark.