“Any last words?” – How AI is stealing our voices.

27

September

2025

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What if artificial intelligence begins to control the actions we take on a daily basis? This question is haunting me more often than I would like to admit. I am experiencing both fascination and worry about the rapid progress of linguistic AI applications like ChatGPT, subtly entrenching their way deeper into our private spaces. No longer are they distant tools anymore, since they are slowly creeping into our thoughts, shaping how we search, write, and even think. Though, I must confess that I am guilty too. Whether it is looking up a fancy recipe, fixing a tire, or condensing hours of lecture notes into something manageable, I turn to AI. For these purposes, I actually encourage it. These are the fruits of technology, ripe for us to taste, but does it still taste so sweetly as before?

The problem lies elsewhere. It is when we begin outsourcing not just our tasks, but our very words. Through the shapes of our essays, stories, and expressions, I fear we are losing something irreplaceable, which is the art and power of human language. Words have always been the essence of what makes us human. They can move nations, comfort the broken, and ignite revolutions. For exampe, Martin Luther King Jr.’s immortal statement, “I have a dream”. Or the centuries-old anthem, “God save the Queen”. Or the enchanting effect in every start of an ancient old bedtime story, “Once upon a time…”. Even a cartoon character, like Uncle Iroh from Avatar, reminds us of the tenderness words can carry: “Leaves from the vine, falling so slow.”

We have always had a weakness for words, as words work magically on a human body, the reason why putting them together is called spelling. The right words at the right moment have altered the course of history: Rosa Parks beautifully iterating: “Stand for something or fall for nothing” or the collective anthem “We are the world”, moving millions into action.. These words came from human souls, and that is precisely why they pierced so deeply into human hearts.

These days, however, this magic is being hollowed out. When AI generates our speeches, our essays, our job applications,or even our declarations of love, are we not letting our uniqueness slip away? We disguise and escape from ourselves in borrowed voices. In doing so, where we should have become stronger, we are becoming weaker. This further removes us from the very humanity that gave birth to language in the first place.

Everywhere we look, AI-generated words make their way past our own control. From the billboards of your local bottega, to the tweets of political figures who polarize and inflame, to the job application we mail. if we do not regain this matter into our own hands, heads, and hearts, we risk losing a part of ourselves. The very chance of losing the raw, imperfect, deeply human character that once defined us, has become reality.

So I ask myself, and now I ask you: what will become of us when we confess too much to AI, when we feed it not only our knowledge but our very voices? Will we recognize ourselves in the mirror when the words on our lips no longer belong to us? Or will we become echoes of an intelligence that was never meant to replace, but only to “assist”?

The challenge is not to reject such AI applications but to redefine our relationship with it. AI should, as initially supposed to, be a tool to enhance our understanding, not a substitute for our consciousness and specialities. It should sharpen our thinking, not dull our capacity for expression. If we allow it to replace our words, wee are allowing it to replace our humanity. But when used wisely, by keeping our voices, our characters, and our stories intact, then perhaps we can ensure that the art of words, the very magic of being human, is not lost but renewed.

Because in the end, words still belong to us. And we have to make sure they always will.

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How to bring Google down: AI-powered search vs. traditional search engines

15

September

2025

“AI search has potential to disrupt both user behavior as well as the advertisement-based revenue stream of Google.”

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In the last two decades, Google has been the unphased leader in online search, which has shaped how billions of people access information on a daily basis. These iconic red-blue-and-yellow letters have defined the search experience, since even the student that is reading this was a kid. Here, attention would eventually be monetized to create one of the most profitable ecosystems ever created, while the user searches for watermark free powerpoint images, the new release of Drake, or some 2-am conspiracy theories (Weil & Woerner, 2015).

Logically, the search-giant’s model depends on users clicking through search results. Yet, this architecture is now being confronted by AI-powered search tools such as ChatGPT and Perplexity. Such tools essentially provide swift, direct and interactive answers, rather than the list of links we know from our old friend Google. This reduces the number of clicks and time spent on navigating through numerous websites. What does this change tell us? Lets Google it.

According to the insights of Iansiti and Lakhani, this shift reflects a “digital operating model”, which continually learns, scales, and refines its outputs as more users interact with such platforms (Massachusetts Institute of Technology, 2020). This means that AI search has potential to disrupt both user behavior as well as the advertisement-based revenue stream of Google. Since users can now bypass ads and obtain answers more easily from AI models, the traditional search economy could fade away and face major reorganizations. If we put this into recent statistics, reports have already indicated a 2.5% decline in Google Search traffic in the second quartile of 2025 (Similarweb, 2025). This would overlap with the strong rise in usage of AI-driven search platforms. But does this AI-development grow as smoothless as it seams?

This progress is indeed not without its challenges. Incumbents that face disruptive technologies have to, according to research, balance pragmatism with a healthy amount of paranoia, which in this case would make up a warning applying to Google as it races to integrate AI into its own search experience (Birkinshaw & Lancefield, 2023). In addition, AI-generated answers are still facing skepticism in their levels of accuracy and bias. Studies have implied that such Large Language Models are able to create “hallucinations”, which simply is confidently presented fabricated information. In essence, this would pose risks for the users that rely on such answers in critical decision making (McKinsey & Company, 2023).

In regards to data-access, AI-driven search could essentially concentrate informational power within a few proprietary models, which rises scrutiny on transparency, intellectual property, and the evident diversity of online knowledge (Massachusetts Institute of Technolog, 2020). Such a transition is likely to reshape SEO, the display of news, or even the relationship between businesses with their customers.

Though, it is important that, although such AI tools are becoming mainstream, we as a society must make the choice whether to prioritize speed and personalization over verifiability and diversity in information access. As this choice will undoubtedly gradually unfold itself in the upcoming years, we should ask ourselves whether to embrace AI-generated answers as the future of search, while centralizing control of information, or remain with our familiar transparency and diversity, though at the cost of slower innovation.

References

Birkinshaw, J., & Lancefield, D. (2023, June 13). How professional services firms dodged disruption. MIT Sloan Management Review. https://sloanreview.mit.edu/article/how-professional-services-firms-dodged-disruption/

Competing in the age of AI. (2020, January 1). Harvard Business Review. https://hbr.org/2020/01/competing-in-the-age-of-ai

Massachusetts Institute of Technology. (2020, March 3). From Disruption to Collision: The New Competitive Dynamics | MIT Sloan Management Review. MIT Sloan Management Review. https://sloanreview.mit.edu/article/from-disruption-to-collision-the-new-competitive-dynamics/

McKinsey & Company. (2023, June 14). The economic potential of generative AI: The next productivity frontier. McKinsey & Company. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier

Similarweb. (2025, August). ai.google website analysis: Global & category rank, traffic & engagement. Retrieved from https://www.similarweb.com/website/ai.google/

Weill, P., & Woerner, S. L. (2015, June 16). Thriving in an increasingly digital ecosystem. MIT Sloan Management Review. https://sloanreview.mit.edu/article/thriving-in-an-increasingly-digital-ecosystem/


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