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Mustafa Erbay
Technology · 4 min read · görüntülenme Türkçe oku

AI Won't Make Us Unemployed, But...

With 20 years of system architect experience, I discuss AI's future role and how it will shape us. We won't be unemployed, but we will transform.

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The most expensive mistake of my career wasn’t a line of code; it was a “yes.” Years ago, in the middle of a large data migration for a project, the moment I unhesitatingly said “Yes!” to the question, “Should we write a script to automate this?” I was actually planting the seeds for the future. That “yes” forced me to acquire new skills, find more efficient ways, and most importantly, adapt to change. Today, we face a similar situation when discussing AI. Most people think AI will take our jobs, but I believe the situation is much more complex and less frightening.

AI’s New Capabilities and Our Role

AI’s capabilities are no longer limited to automating repetitive tasks. With concepts like prompt engineering and retrieval-augmented generation (RAG), AIs can support us in solving complex problems, generating creative content, and even making strategic decisions. This doesn’t mean AI will make us unemployed; on the contrary, it means it will become a tool to augment our capabilities.

While working on a manufacturing ERP, we developed AI-powered prediction models to improve operator screens. These models allowed us to optimize the workflow by predicting real-time deviations in production planning. In this process, AI itself didn’t do our job; we did our job better by using AI. AI gave us the power to perform deeper analyses, make faster decisions, and ultimately be more efficient.

Change is Inevitable: The Importance of Adaptation

With the rise of AI, our traditional skills will be replaced by new ones. Professionals who can not only write code but also effectively use and collaborate with AI tools will come to the forefront. This is more of an evolution than a revolution. Just like in the early days of the internet, those who adapt to new technologies will advance, while those who resist will be left behind.

Once, while developing financial calculators on my own VPS, I noticed that an algorithm I was using to process data had become unexpectedly slow. I spent hours trying to find the source of the problem and finally discovered it was a simple optimization error. I learned that day that no matter how much technology advances, understanding fundamental principles and paying attention to details remains critical. AI doesn’t change this principle.

We Won’t Be Unemployed, We Will Transform

Fears that AI will make us unemployed are largely exaggerated. Yes, some jobs will be automated, but at the same time, new opportunities brought by AI will emerge. Our task is to embrace this change rather than resist it and to continuously improve ourselves. AI is not a competitor that will replace us, but a powerful partner that will enable us to do our jobs better.

The challenges I encountered while processing data on the anonymized data platform I developed for my own site always pushed me to try new approaches. The possibilities offered by AI have the potential to further strengthen such projects. The important thing is to position AI not as a magic wand, but as a tool that enhances our capabilities.

So, what do you think? What are your experiences regarding the role of AI in your career?

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Frequently Asked Questions

Common questions readers have about this article.

How can I integrate AI into my business processes?
When integrating AI into my business processes, I first identified the automatable parts of my job. Then, I selected appropriate AI tools and models to automate these tasks. For example, while working on a manufacturing ERP, I developed AI-powered prediction models to improve operator screens. These models allowed us to optimize the workflow by predicting real-time deviations in production planning.
I'm concerned AI will take my job, what are your thoughts on this?
I believe concerns about AI taking our jobs are unfounded. It means AI will become a tool to augment our capabilities. AI empowers us to perform deeper analyses, make faster decisions, and ultimately be more efficient. For instance, in the middle of a large data migration for a project, the question 'Should we write a script to automate this?' led to a 'Yes!' that pushed me to acquire new skills and find more efficient ways.
What are the important points to consider when using AI tools?
When using AI tools, especially large language models (LLMs), I've seen they can help not only with writing code but also with pipeline automation, generating automatic documentation, and even debugging. When using AI tools, it's crucial to understand their limitations and capabilities, and also to pay attention to data quality.
How can we measure the value AI brings to our work?
To measure the value AI brings to our work, I first assessed how AI was integrated into our operations and what it achieved. For example, it enabled us to optimize the workflow by predicting real-time deviations in production planning. To measure the value AI brings to our work, it's important to look at metrics like efficiency, speed, and quality. Additionally, evaluating how AI brings new capabilities to our work and how it transforms our jobs is also important.
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Mustafa Erbay

Sistem Mimarisi · Network Uzmanı · Altyapı, Güvenlik ve Yazılım

2006'dan bu yana sistem mimarisi, network, sunucu altyapıları, büyük yapıların kurulumu, yazılım ve sistem güvenliği ekseninde çalışıyorum. Bu blogda sahada karşılığı olan teknik deneyimlerimi paylaşıyorum.

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