Richard Golian

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

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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? 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.

The AI Knowledge Gap: Why Most People Do not See What is Coming

AI literacy gap, societal divide

By Richard Golian

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I have never seen a knowledge gap as deep as with artificial intelligence.

The more I talk with friends and acquaintances about AI, automation, and the future of work, the more I notice something alarming.

First, most people of working age have never actually tried any language model. For them, AI is just a word they heard somewhere in the news — but they have no real sense of what it actually is. Occasionally, they will joke about it, and that is about it. What really struck me was how mainstream media in Slovakia report on AI. The only mention I caught recently was a news piece asking an AI who the next Pope might be. If this is the standard, no wonder the information gap keeps growing.

Second, the generation that today has only a vague idea of what AI is has lived through several tech booms. They remember that between media hype and actual impact on their lives, it often took a decade — or longer. If you look at how slowly some parts of the Slovak public sector have adopted digital reforms, it can easily take twenty years. These past experiences shape how some people view today’s changes, and honestly, I completely understand their perspective.

But my perspective is very different.

I first started working with generative AI around the turn of 2022 and 2023. Right from the beginning, I could see how much it accelerated my work, especially in programming. At the same time, I started feeling a strange emptiness and restlessness, which I wrote about on this blog. Over time, my view evolved, and I have gathered all my posts on this topic into a dedicated section.

It is important to realise that while hundreds of millions of people have briefly interacted with AI tools, only a relatively small fraction have had deep, hands-on experience. This small group clearly sees how radically the world can change within just one or two years. They notice that today's technological landscape is already vastly different from what it was just a few months ago.

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Summary

Most working-age people have never used a language model. AI remains a buzzword, not a tangible experience. But those who work with it daily see something different — dramatic shifts happening in months, not years. The gap between surface-level awareness and deep understanding of what is coming is wider than most realise. This article is about that gap.
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

How many people have actually used AI tools like ChatGPT?
By early 2025, roughly one in three U.S. adults had used ChatGPT specifically, according to Pew Research Centre. When including other language models like Gemini and Claude, the figure rose to about half. But these numbers mask a deeper divide: while 77% of adults aged 18 to 29 had used AI tools, less than half of older adults had tried them. For many working-age people, AI remains a word from the news rather than a lived experience.
Why do some people underestimate how fast AI is changing the world?
In the article, this is attributed to past experience. The generation now in the workforce has lived through several tech booms where the gap between media hype and actual impact on daily life took a decade or longer. The internet took roughly five to ten years from public availability to widespread daily use. These past experiences shape expectations — but AI adoption is accelerating far faster than previous technologies.
What is the AI knowledge gap?
It is the growing divide between people who have deep, hands-on experience with AI and those who have barely tried it. The small group that works with AI daily sees dramatic shifts happening in months, not years. Most people do not notice these changes at all. UNESCO has formally named this the AI digital divide, and multiple institutions have identified it as one of the most significant emerging social risks.
Why is AI literacy being compared to reading literacy?
Because understanding how to work with AI is becoming a foundational skill for navigating modern life — similar to how reading became essential in the modern era. Academic research and institutions like the International Literacy Association frame AI literacy alongside traditional literacy as a critical competency. In the article, learning to work with AI is presented as just as crucial today as learning to read was in previous generations.
What can individuals do to close the AI knowledge gap?
The article argues that the only solution is to dramatically raise awareness through direct experience. Showing AI to parents, grandparents, friends, and colleagues — trying something simple together like writing a text, generating an idea, or analysing data — can be enough to spark curiosity. One real-world example is more powerful than any explanation. The gap will only keep growing if those who understand AI do not actively share that understanding.
Could the AI knowledge gap become a source of social inequality?
Yes. In the article, it is argued that people who do not understand the tools reshaping the world around them will lose competitiveness in the job market and become more vulnerable to manipulation. This creates a divide not just in skills but in power — between those who understand the system and those who merely follow its outputs. If awareness is not raised quickly, the gap may become almost impossible to close.