Richard Golian

1995-born. Charles University alum. Head of Performance at Mixit. 10+ years in marketing and data.

#myjourney #myfamily #health #cognition #philosophy #digital #artificialintelligence #darkness #security #finance #politics #banskabystrica #carpathians

Castellano Slovenčina

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AI sales forecast: 9 traps so far

Yesterday I could not tear myself away from the computer. When I lifted my head, it was half past eight in the evening. I had been sitting alone upstairs for about three hours.
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Will AI take my job?

Will AI take my job? A certified Google trainer told me in June 2024 that my profession would cease to exist. Twenty-two months later, my job title has not changed — but ninety percent of what I do during the day is different. I have delegated more of my thinking to AI agents than I thought possible. I am not afraid. This is why, and what it means for anyone asking the same question.
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Richard Golian

Hi, I am Richard. On this blog, I share thoughts, personal stories — and what I am working on. I hope this article brings you some value.

I feel emptiness. First impressions of generative AI

Generative artificial intelligence

By Richard Golian

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ChatGPT is a good helper, but...

Yesterday, I had the opportunity to utilise so-called artificial intelligence to generate an SQL query, which would have otherwise required hours of manual effort. While it saved me a significant amount of time, it had an unintended consequence: it reduced my motivation to improve my coding skills (Read more: I Was Wrong: AI's Unexpected Role in Enhancing My Coding Skills).

In a related vein, I have been experiencing motivation challenges lately, such as when it pertains to composing content for my blog.

Furthermore, I find myself losing interest in consuming content altogether.

Fake content generated by AI

One of the reasons is the increasing difficulty in detecting fake content and misinformation. With the rise of artificial intelligence, creating realistic fake content has become easier than ever before. Nowadays, it is almost impossible to distinguish between a video of a politician saying something and a deepfake video.

Summary

Using AI for SQL undermined my drive to learn deeper coding. Content creation felt hollow. Deepfakes became undetectable. The worry that AI-generated works lead people to settle for mediocrity. Despite technological progress, personal fulfillment paradoxically diminished. These were my first impressions — and they left me feeling empty.
Richard Golian

If you have any thoughts, questions, or feedback, feel free to drop me a message at mail@richardgolian.com.

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Common questions on this article's topic

Can AI tools reduce your motivation to learn new skills?
In the article, using AI to generate an SQL query that would have taken hours to write manually saved significant time — but had an unintended consequence: it reduced the motivation to improve coding skills independently. This tension between efficiency and personal growth is a recurring theme in early AI adoption. The convenience of instant results can undermine the drive to develop deeper understanding through effort.
How can you tell if content was created by a human or by AI?
By early 2023, this had already become extremely difficult. Research showed that human detection accuracy for deepfake video hovered around 55 to 60 percent — barely above random chance. The article raises the concern that when we can no longer distinguish human-made from machine-made content, something fundamental changes in how we value creative work and the people behind it.
Why might AI-generated content lead to a sense of emptiness?
The article describes a paradox: as AI makes content creation effortless, the perceived value of that content diminishes. If stories better than Lord of the Rings can be generated with a few clicks, the human effort and talent behind creative work loses its distinctiveness. This connects to the broader paradox of choice described by psychologist Barry Schwartz — that abundance can paradoxically lead to less satisfaction, not more.
What is the deepfake problem and why does it matter?
Deepfakes are AI-generated videos or images that realistically depict people saying or doing things they never did. By early 2023, creating convincing deepfakes had become accessible and detecting them had become unreliable. The article highlights this as a threat not just to trust in media, but to our ability to distinguish truth from fabrication — a foundational requirement for informed decision-making in a democratic society.
Could AI discourage people from striving for excellence?
The article expresses concern that when AI can produce high-quality output instantly, most people will settle for mediocrity and lose the drive to develop themselves. If exceptional work no longer requires exceptional effort, the incentive structure for human growth changes fundamentally. The world may appear wealthier and more abundant on the surface, but the experience of personal achievement and mastery may diminish.
Is it possible to feel worse despite technological progress?
Yes. The article describes exactly this experience. Despite AI saving time and increasing productivity, it produced a feeling of emptiness and reduced motivation. This aligns with research on the paradox of abundance — the idea that having more options and capabilities does not automatically lead to greater fulfillment. Meaning often comes from effort, and when effort is removed, purpose can disappear with it.